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skygpu:master
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.git
hf_home
outputs
.python-version
.pytest-cache
**/__pycache__
*.egg-info
**/*.key
**/*.cert
.venv

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skynet.toml
.python-version
hf_home
outputs
secrets
**/__pycache__
*.egg-info
**/*.key
**/*.cert
docs
ipfs-docker-data
ipfs-staging
weights

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from pytorch/pytorch:latest
run apt-get update && apt-get install -y git curl
run pip install --upgrade \
diffusers[torch] \
transformers \
huggingface_hub \
pyTelegramBotAPI \
pymongo \
pdbpp
run mkdir /scripts
run mkdir /outputs
run mkdir /inputs
env HF_HOME /hf_home
run mkdir /hf_home
workdir /scripts
env PYTORCH_CUDA_ALLOC_CONF max_split_size_mb:128

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LICENSE
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How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If your software can interact with users remotely through a computer
network, you should also make sure that it provides a way for users to
get its source. For example, if your program is a web application, its
interface could display a "Source" link that leads users to an archive
of the code. There are many ways you could offer source, and different
solutions will be better for different programs; see section 13 for the
specific requirements.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.

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README.md
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@ -1,104 +0,0 @@
# skynet
<div align="center">
<img src="https://explorer.skygpu.net/v2/explore/assets/logo.png" width=512 height=512>
</div>
## decentralized compute platform
### native install
system dependencies:
- `cuda` 11.8
- `llvm` 10
- `python` 3.10+
- `docker` (for ipfs node)
```
# create and edit config from template
cp skynet.toml.example skynet.toml
# install poetry package manager
curl -sSL https://install.python-poetry.org | python3 -
# install
poetry install
# enable environment
poetry shell
# test you can run this command
skynet --help
# launch ipfs node
skynet run ipfs
# to launch worker
skynet run dgpu
```
### dockerized install
## frontend
system dependencies:
- `docker`
```
# create and edit config from template
cp skynet.toml.example skynet.toml
# pull runtime container
docker pull guilledk/skynet:runtime-frontend
# run telegram bot
docker run \
-it \
--rm \
--network host \
--name skynet-telegram \
--mount type=bind,source="$(pwd)",target=/root/target \
guilledk/skynet:runtime-frontend \
skynet run telegram --db-pass PASSWORD --db-user USER --db-host HOST
```
## worker
system dependencies:
- `docker` with gpu enabled
```
# create and edit config from template
cp skynet.toml.example skynet.toml
# pull runtime container
docker pull guilledk/skynet:runtime-cuda
# or build it (takes a bit of time)
./build_docker.sh
# launch simple ipfs node
./launch_ipfs.sh
# run worker with all gpus
docker run \
-it \
--rm \
--gpus all \
--network host \
--name skynet-worker \
--mount type=bind,source="$(pwd)",target=/root/target \
guilledk/skynet:runtime-cuda \
skynet run dgpu
# run worker with specific gpu
docker run \
-it \
--rm \
--gpus '"device=1"' \
--network host \
--name skynet-worker-1 \
--mount type=bind,source="$(pwd)",target=/root/target \
guilledk/skynet:runtime-cuda \
skynet run dgpu
```

25
docker/Dockerfile.runtime
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@ -1,25 +0,0 @@
from python:3.11
env DEBIAN_FRONTEND=noninteractive
run apt-get update && apt-get install -y \
git
run curl -sSL https://install.python-poetry.org | python3 -
env PATH "/root/.local/bin:$PATH"
copy . /skynet
workdir /skynet
env POETRY_VIRTUALENVS_PATH /skynet/.venv
run poetry install
workdir /root/target
copy docker/entrypoint.sh /entrypoint.sh
entrypoint ["/entrypoint.sh"]
cmd ["skynet", "--help"]

46
docker/Dockerfile.runtime+cuda-py310
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@ -1,46 +0,0 @@
from nvidia/cuda:11.8.0-devel-ubuntu20.04
from python:3.10
env DEBIAN_FRONTEND=noninteractive
run apt-get update && apt-get install -y \
git \
clang \
cmake \
ffmpeg \
libsm6 \
libxext6 \
ninja-build
env CC /usr/bin/clang
env CXX /usr/bin/clang++
# install llvm10 as required by llvm-lite
run git clone https://github.com/llvm/llvm-project.git -b llvmorg-10.0.1
workdir /llvm-project
# this adds a commit from 12.0.0 that fixes build on newer compilers
run git cherry-pick -n b498303066a63a203d24f739b2d2e0e56dca70d1
run cmake -S llvm -B build -G Ninja -DCMAKE_BUILD_TYPE=Release
run ninja -C build install # -j8
run curl -sSL https://install.python-poetry.org | python3 -
env PATH "/root/.local/bin:$PATH"
copy . /skynet
workdir /skynet
env POETRY_VIRTUALENVS_PATH /skynet/.venv
run poetry install --with=cuda -v
workdir /root/target
env PYTORCH_CUDA_ALLOC_CONF max_split_size_mb:128
env NVIDIA_VISIBLE_DEVICES=all
copy docker/entrypoint.sh /entrypoint.sh
entrypoint ["/entrypoint.sh"]
cmd ["skynet", "--help"]

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docker/Dockerfile.runtime+cuda-py311
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@ -1,46 +0,0 @@
from nvidia/cuda:11.8.0-devel-ubuntu20.04
from python:3.11
env DEBIAN_FRONTEND=noninteractive
run apt-get update && apt-get install -y \
git \
clang \
cmake \
ffmpeg \
libsm6 \
libxext6 \
ninja-build
env CC /usr/bin/clang
env CXX /usr/bin/clang++
# install llvm10 as required by llvm-lite
run git clone https://github.com/llvm/llvm-project.git -b llvmorg-10.0.1
workdir /llvm-project
# this adds a commit from 12.0.0 that fixes build on newer compilers
run git cherry-pick -n b498303066a63a203d24f739b2d2e0e56dca70d1
run cmake -S llvm -B build -G Ninja -DCMAKE_BUILD_TYPE=Release
run ninja -C build install # -j8
run curl -sSL https://install.python-poetry.org | python3 -
env PATH "/root/.local/bin:$PATH"
copy . /skynet
workdir /skynet
env POETRY_VIRTUALENVS_PATH /skynet/.venv
run poetry install --with=cuda -v
workdir /root/target
env PYTORCH_CUDA_ALLOC_CONF max_split_size_mb:128
env NVIDIA_VISIBLE_DEVICES=all
copy docker/entrypoint.sh /entrypoint.sh
entrypoint ["/entrypoint.sh"]
cmd ["skynet", "--help"]

25
docker/Dockerfile.runtime+frontend
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@ -1,25 +0,0 @@
from python:3.11
env DEBIAN_FRONTEND=noninteractive
run apt-get update && apt-get install -y \
git
run curl -sSL https://install.python-poetry.org | python3 -
env PATH "/root/.local/bin:$PATH"
copy . /skynet
workdir /skynet
env POETRY_VIRTUALENVS_PATH /skynet/.venv
run poetry install --with=frontend -v
workdir /root/target
copy docker/entrypoint.sh /entrypoint.sh
entrypoint ["/entrypoint.sh"]
cmd ["skynet", "--help"]

20
docker/build_docker.sh
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@ -1,20 +0,0 @@
docker build \
-t guilledk/skynet:runtime \
-f docker/Dockerfile.runtime .
docker build \
-t guilledk/skynet:runtime-frontend \
-f docker/Dockerfile.runtime+frontend .
docker build \
-t guilledk/skynet:runtime-cuda-py311 \
-f docker/Dockerfile.runtime+cuda-py311 .
docker build \
-t guilledk/skynet:runtime-cuda \
-f docker/Dockerfile.runtime+cuda-py311 .
docker build \
-t guilledk/skynet:runtime-cuda-py310 \
-f docker/Dockerfile.runtime+cuda-py310 .

8
docker/entrypoint.sh
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@ -1,8 +0,0 @@
#!/bin/sh
export VIRTUAL_ENV='/skynet/.venv'
poetry env use $VIRTUAL_ENV/bin/python
poetry install
exec poetry run "$@"

5
docker/push_docker.sh
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@ -1,5 +0,0 @@
docker push guilledk/skynet:runtime
docker push guilledk/skynet:runtime-frontend
docker push guilledk/skynet:runtime-cuda
docker push guilledk/skynet:runtime-cuda-py311
docker push guilledk/skynet:runtime-cuda-py310

36
launch_ipfs.sh
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@ -1,36 +0,0 @@
#!/bin/bash
name='skynet-ipfs'
peers=("$@")
data_dir="$(pwd)/ipfs-docker-data"
data_target='/data/ipfs'
# Create data directory if it doesn't exist
mkdir -p "$data_dir"
# Run the container
docker run -d \
--name "$name" \
-p 8080:8080/tcp \
-p 4001:4001/tcp \
-p 127.0.0.1:5001:5001/tcp \
--mount type=bind,source="$data_dir",target="$data_target" \
--rm \
ipfs/go-ipfs:latest
# Change ownership
docker exec "$name" chown 1000:1000 -R "$data_target"
# Wait for Daemon to be ready
while read -r log; do
echo "$log"
if [[ "$log" == *"Daemon is ready"* ]]; then
break
fi
done < <(docker logs -f "$name")
# Connect to peers
for peer in "${peers[@]}"; do
docker exec "$name" ipfs swarm connect "$peer" || echo "Error connecting to peer: $peer"
done

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poetry.lock generated
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2
poetry.toml
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[virtualenvs]
in-project = true

67
pyproject.toml
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@ -1,67 +0,0 @@
[tool.poetry]
name = 'skynet'
version = '0.1a12'
description = 'Decentralized compute platform'
authors = ['Guillermo Rodriguez <guillermo@telos.net>']
license = 'AGPL'
readme = 'README.md'
[tool.poetry.dependencies]
python = '>=3.10,<3.12'
pytz = '^2023.3.post1'
trio = '^0.22.2'
asks = '^3.0.0'
Pillow = '^10.0.1'
docker = '^6.1.3'
py-leap = {git = 'https://github.com/guilledk/py-leap.git', rev = 'v0.1a14'}
toml = '^0.10.2'
[tool.poetry.group.frontend]
optional = true
[tool.poetry.group.frontend.dependencies]
triopg = {version = '^0.6.0'}
aiohttp = {version = '^3.8.5'}
psycopg2-binary = {version = '^2.9.7'}
pyTelegramBotAPI = {version = '^4.14.0'}
'discord.py' = {version = '^2.3.2'}
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.dev.dependencies]
pdbpp = {version = '^0.10.3'}
pytest = {version = '^7.4.2'}
[tool.poetry.group.cuda]
optional = true
[tool.poetry.group.cuda.dependencies]
torch = {version = '2.0.1+cu118', source = 'torch'}
scipy = {version = '^1.11.2'}
numba = {version = '0.57.0'}
quart = {version = '^0.19.3'}
triton = {version = '2.0.0', source = 'torch'}
basicsr = {version = '^1.4.2'}
xformers = {version = '^0.0.22'}
hypercorn = {version = '^0.14.4'}
diffusers = {version = '^0.21.2'}
realesrgan = {version = '^0.3.0'}
quart-trio = {version = '^0.11.0'}
torchvision = {version = '0.15.2+cu118', source = 'torch'}
accelerate = {version = '^0.23.0'}
transformers = {version = '^4.33.2'}
huggingface-hub = {version = '^0.17.3'}
invisible-watermark = {version = '^0.2.0'}
[[tool.poetry.source]]
name = 'torch'
url = 'https://download.pytorch.org/whl/cu118'
priority = 'explicit'
[build-system]
requires = ['poetry-core', 'cython']
build-backend = 'poetry.core.masonry.api'
[tool.poetry.scripts]
skynet = 'skynet.cli:skynet'

4
pytest.ini
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@ -1,4 +0,0 @@
[pytest]
log_cli = True
log_level = info
trio_mode = True

11
run-bot.sh 100755
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@ -0,0 +1,11 @@
docker run \
-it \
--rm \
--gpus=all \
--env HF_TOKEN='' \
--env DB_USER='' \
--env DB_PASS='' \
--mount type=bind,source="$(pwd)"/outputs,target=/outputs \
--mount type=bind,source="$(pwd)"/hf_home,target=/hf_home \
--mount type=bind,source="$(pwd)"/scripts,target=/scripts \
skynet-art-bot:0.1a3 $1

9
run-mongo.sh 100755
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docker run
-d \
--rm \
-p 27017:27017 \
--name mongodb-skynet \
--mount type=bind,source="$(pwd)"/mongodb,target=/data/db \
-e MONGO_INITDB_ROOT_USERNAME="" \
-e MONGO_INITDB_ROOT_PASSWORD="" \
mongo

382
scripts/telegram-bot-dev.py 100644
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@ -0,0 +1,382 @@
#!/usr/bin/python
import os
import logging
import random
from torch.multiprocessing import spawn
import telebot
from telebot.types import InputFile
import sys
import uuid
from pathlib import Path
import torch
from torch.multiprocessing.spawn import ProcessRaisedException
from diffusers import StableDiffusionPipeline, EulerAncestralDiscreteScheduler
from huggingface_hub import login
from datetime import datetime
from pymongo import MongoClient
db_user = os.environ['DB_USER']
db_pass = os.environ['DB_PASS']
logging.basicConfig(level=logging.INFO)
MEM_FRACTION = .33
HELP_TEXT = '''
test art bot v0.1a3
commands work on a user per user basis!
config is individual to each user!
/txt2img {prompt} - request an image based on a prompt
/redo - redo last primpt
/cool - list of cool words to use
/stats - user statistics
/config step {number} - set amount of iterations
/config seed {number} - set the seed, deterministic results!
/config size {width} {height} - set size in pixels
/config guidance {number} - prompt text importance
'''
COOL_WORDS = [
'cyberpunk',
'soviet propaganda poster',
'rastafari',
'cannabis',
'art deco',
'H R Giger Necronom IV',
'dimethyltryptamine',
'lysergic',
'slut',
'psilocybin',
'trippy',
'lucy in the sky with diamonds',
'fractal',
'da vinci',
'pencil illustration',
'blueprint',
'internal diagram',
'baroque',
'the last judgment',
'michelangelo'
]
GROUP_ID = -889553587
MIN_STEP = 1
MAX_STEP = 100
MAX_SIZE = (512, 656)
MAX_GUIDANCE = 20
DEFAULT_SIZE = (512, 512)
DEFAULT_GUIDANCE = 7.5
DEFAULT_STEP = 75
DEFAULT_CREDITS = 10
def generate_image(i, prompt, name, step, size, guidance, seed):
assert torch.cuda.is_available()
torch.cuda.empty_cache()
torch.cuda.set_per_process_memory_fraction(MEM_FRACTION)
pipe = StableDiffusionPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5",
torch_dtype=torch.float16,
revision="fp16",
safety_checker=None
)
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
pipe = pipe.to("cuda")
w, h = size
print(f'generating image... of size {w, h}')
image = pipe(
prompt,
width=w,
height=h,
guidance_scale=guidance, num_inference_steps=step,
generator=torch.Generator("cuda").manual_seed(seed)
).images[0]
image.save(f'/outputs/{name}.png')
print('saved')
if __name__ == '__main__':
API_TOKEN = '5880619053:AAFge2UfObw1kCn9Kb7AAyqaIHs_HgM0Fx0'
bot = telebot.TeleBot(API_TOKEN)
db_client = MongoClient(f'mongodb://{db_user}:{db_pass}@localhost:27017')
rr_id = 0
tgdb = db_client.get_database('telegram')
collections = tgdb.list_collection_names()
if 'users' in collections:
tg_users = tgdb.get_collection('users')
# tg_users.delete_many({})
else:
tg_users = tgdb.create_collection('users')
# db functions
def get_user(uid: int):
return tg_users.find_one({'uid': uid})
def new_user(uid: int):
if get_user(uid):
raise ValueError('User already present on db')
res = tg_users.insert_one({
'generated': 0,
'uid': uid,
'credits': DEFAULT_CREDITS,
'joined': datetime.utcnow().isoformat(),
'last_prompt': None,
'config': {
'step': DEFAULT_STEP,
'size': DEFAULT_SIZE,
'seed': None,
'guidance': DEFAULT_GUIDANCE
}
})
assert res.acknowledged
return get_user(uid)
def get_or_create_user(uid: int):
db_user = get_user(uid)
if not db_user:
db_user = new_user(uid)
return db_user
def update_user(uid: int, updt_cmd: dict):
user = get_user(uid)
if not user:
raise ValueError('User not present on db')
return tg_users.find_one_and_update(
{'uid': uid}, updt_cmd)
# bot handler
def img_for_user_with_prompt(
uid: int,
prompt: str, step: int, size: tuple[int, int], guidance: int, seed: int
):
name = uuid.uuid4()
spawn(
generate_image,
args=(prompt, name, step, size, guidance, seed))
logging.info(f'done generating. got {name}, sending...')
if len(prompt) > 256:
reply_txt = f'prompt: \"{prompt[:256]}...\"\n(full prompt too big to show on reply...)\n'
else:
reply_txt = f'prompt: \"{prompt}\"\n'
reply_txt += f'seed: {seed}\n'
reply_txt += f'iterations: {step}\n'
reply_txt += f'size: {size}\n'
reply_txt += f'guidance: {guidance}\n'
reply_txt += f'stable-diff v1.5 uncensored\n'
reply_txt += f'euler ancestral discrete'
return reply_txt, name
@bot.message_handler(commands=['help'])
def send_help(message):
bot.reply_to(message, HELP_TEXT)
@bot.message_handler(commands=['cool'])
def send_help(message):
bot.reply_to(message, '\n'.join(COOL_WORDS))
@bot.message_handler(commands=['txt2img'])
def send_txt2img(message):
# check msg comes from testing group
chat = message.chat
if chat.type != 'group' and chat.id != GROUP_ID:
return
prompt = ' '.join(message.text.split(' ')[1:])
if len(prompt) == 0:
bot.reply_to(message, 'empty text prompt ignored.')
return
user = message.from_user
db_user = get_or_create_user(user.id)
logging.info(f"{user.first_name} ({user.id}) on chat {chat.id} txt2img: {prompt}")
user_conf = db_user['config']
step = user_conf['step']
size = user_conf['size']
seed = user_conf['seed'] if user_conf['seed'] else random.randint(0, 999999999)
guidance = user_conf['guidance']
try:
reply_txt, name = img_for_user_with_prompt(
user.id, prompt, step, size, guidance, seed)
update_user(
user.id,
{'$set': {
'generated': db_user['generated'] + 1,
'last_prompt': prompt
}})
bot.send_photo(
chat.id,
caption=f'sent by: {user.first_name}\n' + reply_txt,
photo=InputFile(f'/outputs/{name}.png'))
except BaseException as e:
logging.error(e)
bot.reply_to(message, 'that command caused an error :(\nchange settings and try again (?')
@bot.message_handler(commands=['redo'])
def redo_txt2img(message):
# check msg comes from testing group
chat = message.chat
if chat.type != 'group' and chat.id != GROUP_ID:
return
user = message.from_user
db_user = get_or_create_user(user.id)
prompt = db_user['last_prompt']
if not prompt:
bot.reply_to(message, 'do a /txt2img command first silly!')
return
user_conf = db_user['config']
step = user_conf['step']
size = user_conf['size']
seed = user_conf['seed'] if user_conf['seed'] else random.randint(0, 999999999)
guidance = user_conf['guidance']
logging.info(f"{user.first_name} ({user.id}) on chat {chat.id} redo: {prompt}")
try:
reply_txt, name = img_for_user_with_prompt(
user.id, prompt, step, size, guidance, seed)
update_user(
user.id,
{'$set': {
'generated': db_user['generated'] + 1,
}})
bot.send_photo(
chat.id,
caption=f'sent by: {user.first_name}\n' + reply_txt,
photo=InputFile(f'/outputs/{name}.png'))
except BaseException as e:
logging.error(e)
bot.reply_to(message, 'that command caused an error :(\nchange settings and try again (?')
@bot.message_handler(commands=['config'])
def set_config(message):
params = message.text.split(' ')
if len(params) < 3:
bot.reply_to(message, 'wrong msg format')
else:
user = message.from_user
chat = message.chat
db_user = get_user(user.id)
if not db_user:
db_user = new_user(user.id)
try:
attr = params[1]
if attr == 'step':
val = int(params[2])
val = max(min(val, MAX_STEP), MIN_STEP)
res = update_user(user.id, {'$set': {'config.step': val}})
elif attr == 'size':
max_w, max_h = MAX_SIZE
w = max(min(int(params[2]), max_w), 16)
h = max(min(int(params[3]), max_h), 16)
val = (w, h)
if (w % 8 != 0) or (h % 8 != 0):
bot.reply_to(message, 'size must be divisible by 8!')
return
res = update_user(user.id, {'$set': {'config.size': val}})
elif attr == 'seed':
val = params[2]
if val == 'auto':
val = None
else:
val = int(params[2])
res = update_user(user.id, {'$set': {'config.seed': val}})
elif attr == 'guidance':
val = float(params[2])
val = max(min(val, MAX_GUIDANCE), 0)
res = update_user(user.id, {'$set': {'config.guidance': val}})
bot.reply_to(message, f"config updated! {attr} to {val}")
except ValueError:
bot.reply_to(message, f"\"{val}\" is not a number silly")
@bot.message_handler(commands=['stats'])
def user_stats(message):
user = message.from_user
db_user = get_user(user.id)
if not db_user:
db_user = new_user(user.id)
joined_date_str = datetime.fromisoformat(db_user['joined']).strftime('%B the %dth %Y, %H:%M:%S')
user_stats_str = f'generated: {db_user["generated"]}\n'
user_stats_str += f'joined: {joined_date_str}\n'
user_stats_str += f'credits: {db_user["credits"]}\n'
bot.reply_to(
message, user_stats_str)
login(token=os.environ['HF_TOKEN'])
bot.infinity_polling()

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scripts/txt2img.py 100644
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@ -0,0 +1,30 @@
import os
import sys
from pathlib import Path
import torch
from diffusers import StableDiffusionPipeline
from huggingface_hub import login
assert torch.cuda.is_available()
login(token=os.environ['HF_TOKEN'])
pipe = StableDiffusionPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5",
torch_dtype=torch.float16,
revision="fp16"
)
pipe = pipe.to("cuda")
prompt = sys.argv[1]
image = pipe(
prompt,
width=640,
height=640,
guidance_scale=7.5, num_inference_steps=120
).images[0]
image.save("/outputs/img.png")

47
skynet.toml.example
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@ -1,47 +0,0 @@
# config sections are optional, depending on which services
# you wish to run
[skynet.dgpu]
account = 'testworkerX'
permission = 'active'
key = '5Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
node_url = 'https://testnet.skygpu.net'
hyperion_url = 'https://testnet.skygpu.net'
ipfs_gateway_url = '/ip4/169.197.140.154/tcp/4001/p2p/12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv'
ipfs_url = 'http://127.0.0.1:5001'
hf_home = 'hf_home'
hf_token = 'hf_XxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXx'
auto_withdraw = true
non_compete = []
api_bind = '127.0.0.1:42690'
[skynet.telegram]
account = 'telegram'
permission = 'active'
key = '5Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
node_url = 'https://testnet.skygpu.net'
hyperion_url = 'https://testnet.skygpu.net'
ipfs_gateway_url = '/ip4/169.197.140.154/tcp/4001/p2p/12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv'
ipfs_url = 'http://127.0.0.1:5001'
token = 'XXXXXXXXXX:xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
[skynet.discord]
account = 'discord'
permission = 'active'
key = '5Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
node_url = 'https://testnet.skygpu.net'
hyperion_url = 'https://testnet.skygpu.net'
ipfs_gateway_url = '/ip4/169.197.140.154/tcp/4001/p2p/12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv'
ipfs_url = 'http://127.0.0.1:5001'
token = 'XXXXXXXXXX:xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
[skynet.pinner]
hyperion_url = 'https://testnet.skygpu.net'
ipfs_url = 'http://127.0.0.1:5001'
[skynet.user]
account = 'testuser'
permission = 'active'
key = '5Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
node_url = 'https://testnet.skygpu.net'

2
skynet/__init__.py
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#!/usr/bin/python

521
skynet/cli.py
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@ -1,521 +0,0 @@
#!/usr/bin/python
import json
import logging
import random
from functools import partial
import click
from leap.sugar import Name, asset_from_str
from .config import *
from .constants import *
@click.group()
def skynet(*args, **kwargs):
pass
@click.command()
@click.option('--model', '-m', default='midj')
@click.option(
'--prompt', '-p', default='a red old tractor in a sunny wheat field')
@click.option('--output', '-o', default='output.png')
@click.option('--width', '-w', default=512)
@click.option('--height', '-h', default=512)
@click.option('--guidance', '-g', default=10.0)
@click.option('--steps', '-s', default=26)
@click.option('--seed', '-S', default=None)
def txt2img(*args, **kwargs):
from . import utils
config = load_skynet_toml()
hf_token = load_key(config, 'skynet.dgpu.hf_token')
hf_home = load_key(config, 'skynet.dgpu.hf_home')
set_hf_vars(hf_token, hf_home)
utils.txt2img(hf_token, **kwargs)
@click.command()
@click.option('--model', '-m', default=list(MODELS.keys())[0])
@click.option(
'--prompt', '-p', default='a red old tractor in a sunny wheat field')
@click.option('--input', '-i', default='input.png')
@click.option('--output', '-o', default='output.png')
@click.option('--strength', '-Z', default=1.0)
@click.option('--guidance', '-g', default=10.0)
@click.option('--steps', '-s', default=26)
@click.option('--seed', '-S', default=None)
def img2img(model, prompt, input, output, strength, guidance, steps, seed):
from . import utils
config = load_skynet_toml()
hf_token = load_key(config, 'skynet.dgpu.hf_token')
hf_home = load_key(config, 'skynet.dgpu.hf_home')
set_hf_vars(hf_token, hf_home)
utils.img2img(
hf_token,
model=model,
prompt=prompt,
img_path=input,
output=output,
strength=strength,
guidance=guidance,
steps=steps,
seed=seed
)
@click.command()
@click.option('--input', '-i', default='input.png')
@click.option('--output', '-o', default='output.png')
@click.option('--model', '-m', default='weights/RealESRGAN_x4plus.pth')
def upscale(input, output, model):
from . import utils
utils.upscale(
img_path=input,
output=output,
model_path=model)
@skynet.command()
def download():
from . import utils
config = load_skynet_toml()
hf_token = load_key(config, 'skynet.dgpu.hf_token')
hf_home = load_key(config, 'skynet.dgpu.hf_home')
set_hf_vars(hf_token, hf_home)
utils.download_all_models(hf_token, hf_home)
@skynet.command()
@click.option(
'--reward', '-r', default='20.0000 GPU')
@click.option('--jobs', '-j', default=1)
@click.option('--model', '-m', default='stabilityai/stable-diffusion-xl-base-1.0')
@click.option(
'--prompt', '-p', default='a red old tractor in a sunny wheat field')
@click.option('--output', '-o', default='output.png')
@click.option('--width', '-w', default=1024)
@click.option('--height', '-h', default=1024)
@click.option('--guidance', '-g', default=10)
@click.option('--step', '-s', default=26)
@click.option('--seed', '-S', default=None)
@click.option('--upscaler', '-U', default='x4')
@click.option('--binary_data', '-b', default='')
@click.option('--strength', '-Z', default=None)
def enqueue(
reward: str,
jobs: int,
**kwargs
):
import trio
from leap.cleos import CLEOS
config = load_skynet_toml()
key = load_key(config, 'skynet.user.key')
account = load_key(config, 'skynet.user.account')
permission = load_key(config, 'skynet.user.permission')
node_url = load_key(config, 'skynet.user.node_url')
cleos = CLEOS(None, None, url=node_url, remote=node_url)
binary = kwargs['binary_data']
if not kwargs['strength']:
if binary:
raise ValueError('strength -Z param required if binary data passed')
del kwargs['strength']
else:
kwargs['strength'] = float(kwargs['strength'])
async def enqueue_n_jobs():
for i in range(jobs):
if not kwargs['seed']:
kwargs['seed'] = random.randint(0, 10e9)
req = json.dumps({
'method': 'diffuse',
'params': kwargs
})
res = await cleos.a_push_action(
'telos.gpu',
'enqueue',
{
'user': Name(account),
'request_body': req,
'binary_data': binary,
'reward': asset_from_str(reward),
'min_verification': 1
},
account, key, permission,
)
print(res)
trio.run(enqueue_n_jobs)
@skynet.command()
@click.option('--loglevel', '-l', default='INFO', help='Logging level')
def clean(
loglevel: str,
):
import trio
from leap.cleos import CLEOS
config = load_skynet_toml()
key = load_key(config, 'skynet.user.key')
account = load_key(config, 'skynet.user.account')
permission = load_key(config, 'skynet.user.permission')
node_url = load_key(config, 'skynet.user.node_url')
logging.basicConfig(level=loglevel)
cleos = CLEOS(None, None, url=node_url, remote=node_url)
trio.run(
partial(
cleos.a_push_action,
'telos.gpu',
'clean',
{},
account, key, permission=permission
)
)
@skynet.command()
def queue():
import requests
config = load_skynet_toml()
node_url = load_key(config, 'skynet.user.node_url')
resp = requests.post(
f'{node_url}/v1/chain/get_table_rows',
json={
'code': 'telos.gpu',
'table': 'queue',
'scope': 'telos.gpu',
'json': True
}
)
print(json.dumps(resp.json(), indent=4))
@skynet.command()
@click.argument('request-id')
def status(request_id: int):
import requests
config = load_skynet_toml()
node_url = load_key(config, 'skynet.user.node_url')
resp = requests.post(
f'{node_url}/v1/chain/get_table_rows',
json={
'code': 'telos.gpu',
'table': 'status',
'scope': request_id,
'json': True
}
)
print(json.dumps(resp.json(), indent=4))
@skynet.command()
@click.argument('request-id')
def dequeue(request_id: int):
import trio
from leap.cleos import CLEOS
config = load_skynet_toml()
key = load_key(config, 'skynet.user.key')
account = load_key(config, 'skynet.user.account')
permission = load_key(config, 'skynet.user.permission')
node_url = load_key(config, 'skynet.user.node_url')
cleos = CLEOS(None, None, url=node_url, remote=node_url)
res = trio.run(
partial(
cleos.a_push_action,
'telos.gpu',
'dequeue',
{
'user': Name(account),
'request_id': int(request_id),
},
account, key, permission=permission
)
)
print(res)
@skynet.command()
@click.option(
'--token-contract', '-c', default='eosio.token')
@click.option(
'--token-symbol', '-S', default='4,GPU')
def config(
token_contract: str,
token_symbol: str
):
import trio
from leap.cleos import CLEOS
config = load_skynet_toml()
key = load_key(config, 'skynet.user.key')
account = load_key(config, 'skynet.user.account')
permission = load_key(config, 'skynet.user.permission')
node_url = load_key(config, 'skynet.user.node_url')
cleos = CLEOS(None, None, url=node_url, remote=node_url)
res = trio.run(
partial(
cleos.a_push_action,
'telos.gpu',
'config',
{
'token_contract': token_contract,
'token_symbol': token_symbol,
},
account, key, permission=permission
)
)
print(res)
@skynet.command()
@click.argument('quantity')
def deposit(quantity: str):
import trio
from leap.cleos import CLEOS
config = load_skynet_toml()
key = load_key(config, 'skynet.user.key')
account = load_key(config, 'skynet.user.account')
permission = load_key(config, 'skynet.user.permission')
node_url = load_key(config, 'skynet.user.node_url')
cleos = CLEOS(None, None, url=node_url, remote=node_url)
res = trio.run(
partial(
cleos.a_push_action,
'telos.gpu',
'transfer',
{
'sender': Name(account),
'recipient': Name('telos.gpu'),
'amount': asset_from_str(quantity),
'memo': f'{account} transferred {quantity} to telos.gpu'
},
account, key, permission=permission
)
)
print(res)
@skynet.group()
def run(*args, **kwargs):
pass
@run.command()
def db():
from .db import open_new_database
logging.basicConfig(level=logging.INFO)
with open_new_database(cleanup=False) as db_params:
container, passwd, host = db_params
logging.info(('skynet', passwd, host))
@run.command()
def nodeos():
from .nodeos import open_nodeos
logging.basicConfig(filename='skynet-nodeos.log', level=logging.INFO)
with open_nodeos(cleanup=False):
...
@run.command()
@click.option('--loglevel', '-l', default='INFO', help='Logging level')
@click.option(
'--config-path', '-c', default=DEFAULT_CONFIG_PATH)
def dgpu(
loglevel: str,
config_path: str
):
import trio
from .dgpu import open_dgpu_node
logging.basicConfig(level=loglevel)
config = load_skynet_toml(file_path=config_path)
hf_token = load_key(config, 'skynet.dgpu.hf_token')
hf_home = load_key(config, 'skynet.dgpu.hf_home')
set_hf_vars(hf_token, hf_home)
assert 'skynet' in config
assert 'dgpu' in config['skynet']
trio.run(open_dgpu_node, config['skynet']['dgpu'])
@run.command()
@click.option('--loglevel', '-l', default='INFO', help='logging level')
@click.option(
'--db-host', '-h', default='localhost:5432')
@click.option(
'--db-user', '-u', default='skynet')
@click.option(
'--db-pass', '-u', default='password')
def telegram(
loglevel: str,
db_host: str,
db_user: str,
db_pass: str
):
import asyncio
from .frontend.telegram import SkynetTelegramFrontend
logging.basicConfig(level=loglevel)
config = load_skynet_toml()
tg_token = load_key(config, 'skynet.telegram.tg_token')
key = load_key(config, 'skynet.telegram.key')
account = load_key(config, 'skynet.telegram.account')
permission = load_key(config, 'skynet.telegram.permission')
node_url = load_key(config, 'skynet.telegram.node_url')
hyperion_url = load_key(config, 'skynet.telegram.hyperion_url')
try:
ipfs_gateway_url = load_key(config, 'skynet.telegram.ipfs_gateway_url')
except ConfigParsingError:
ipfs_gateway_url = None
ipfs_url = load_key(config, 'skynet.telegram.ipfs_url')
try:
explorer_domain = load_key(config, 'skynet.telegram.explorer_domain')
except ConfigParsingError:
explorer_domain = DEFAULT_EXPLORER_DOMAIN
try:
ipfs_domain = load_key(config, 'skynet.telegram.ipfs_domain')
except ConfigParsingError:
ipfs_domain = DEFAULT_IPFS_DOMAIN
async def _async_main():
frontend = SkynetTelegramFrontend(
tg_token,
account,
permission,
node_url,
hyperion_url,
db_host, db_user, db_pass,
ipfs_url,
remote_ipfs_node=ipfs_gateway_url,
key=key,
explorer_domain=explorer_domain,
ipfs_domain=ipfs_domain
)
async with frontend.open():
await frontend.bot.infinity_polling()
asyncio.run(_async_main())
@run.command()
@click.option('--loglevel', '-l', default='INFO', help='logging level')
@click.option(
'--db-host', '-h', default='localhost:5432')
@click.option(
'--db-user', '-u', default='skynet')
@click.option(
'--db-pass', '-u', default='password')
def discord(
loglevel: str,
db_host: str,
db_user: str,
db_pass: str
):
import asyncio
from .frontend.discord import SkynetDiscordFrontend
logging.basicConfig(level=loglevel)
config = load_skynet_toml()
dc_token = load_key(config, 'skynet.discord.dc_token')
key = load_key(config, 'skynet.discord.key')
account = load_key(config, 'skynet.discord.account')
permission = load_key(config, 'skynet.discord.permission')
node_url = load_key(config, 'skynet.discord.node_url')
hyperion_url = load_key(config, 'skynet.discord.hyperion_url')
ipfs_gateway_url = load_key(config, 'skynet.discord.ipfs_gateway_url')
ipfs_url = load_key(config, 'skynet.discord.ipfs_url')
try:
explorer_domain = load_key(config, 'skynet.discord.explorer_domain')
except ConfigParsingError:
explorer_domain = DEFAULT_EXPLORER_DOMAIN
try:
ipfs_domain = load_key(config, 'skynet.discord.ipfs_domain')
except ConfigParsingError:
ipfs_domain = DEFAULT_IPFS_DOMAIN
async def _async_main():
frontend = SkynetDiscordFrontend(
# dc_token,
account,
permission,
node_url,
hyperion_url,
db_host, db_user, db_pass,
ipfs_url,
remote_ipfs_node=ipfs_gateway_url,
key=key,
explorer_domain=explorer_domain,
ipfs_domain=ipfs_domain
)
async with frontend.open():
await frontend.bot.start(dc_token)
asyncio.run(_async_main())
@run.command()
@click.option('--loglevel', '-l', default='INFO', help='logging level')
@click.option('--name', '-n', default='skynet-ipfs', help='container name')
@click.option('--peer', '-p', default=(), help='connect to peer', multiple=True, type=str)
def ipfs(loglevel, name, peer):
from skynet.ipfs.docker import open_ipfs_node
logging.basicConfig(level=loglevel)
with open_ipfs_node(name=name, peers=peer):
...
@run.command()
@click.option('--loglevel', '-l', default='INFO', help='logging level')
def pinner(loglevel):
import trio
from leap.hyperion import HyperionAPI
from .ipfs import AsyncIPFSHTTP
from .ipfs.pinner import SkynetPinner
config = load_skynet_toml()
hyperion_url = load_key(config, 'skynet.pinner.hyperion_url')
ipfs_url = load_key(config, 'skynet.pinner.ipfs_url')
logging.basicConfig(level=loglevel)
ipfs_node = AsyncIPFSHTTP(ipfs_url)
hyperion = HyperionAPI(hyperion_url)
pinner = SkynetPinner(hyperion, ipfs_node)
trio.run(pinner.pin_forever)

33
skynet/config.py
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@ -1,33 +0,0 @@
#!/usr/bin/python
import os
import toml
from pathlib import Path
from .constants import DEFAULT_CONFIG_PATH
class ConfigParsingError(BaseException):
...
def load_skynet_toml(file_path=DEFAULT_CONFIG_PATH) -> dict:
config = toml.load(file_path)
return config
def load_key(config: dict, key: str) -> str:
for skey in key.split('.'):
if skey not in config:
conf_keys = [k for k in config]
raise ConfigParsingError(f'key \"{skey}\" not in {conf_keys}')
config = config[skey]
return config
def set_hf_vars(hf_token: str, hf_home: str):
os.environ['HF_TOKEN'] = hf_token
os.environ['HF_HOME'] = hf_home

195
skynet/constants.py
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@ -1,195 +0,0 @@
#!/usr/bin/python
VERSION = '0.1a12'
DOCKER_RUNTIME_CUDA = 'skynet:runtime-cuda'
MODELS = {
'prompthero/openjourney': {'short': 'midj', 'mem': 6},
'runwayml/stable-diffusion-v1-5': {'short': 'stable', 'mem': 6},
'stabilityai/stable-diffusion-2-1-base': {'short': 'stable2', 'mem': 6},
'snowkidy/stable-diffusion-xl-base-0.9': {'short': 'stablexl0.9', 'mem': 8.3},
'Linaqruf/anything-v3.0': {'short': 'hdanime', 'mem': 6},
'hakurei/waifu-diffusion': {'short': 'waifu', 'mem': 6},
'nitrosocke/Ghibli-Diffusion': {'short': 'ghibli', 'mem': 6},
'dallinmackay/Van-Gogh-diffusion': {'short': 'van-gogh', 'mem': 6},
'lambdalabs/sd-pokemon-diffusers': {'short': 'pokemon', 'mem': 6},
'Envvi/Inkpunk-Diffusion': {'short': 'ink', 'mem': 6},
'nousr/robo-diffusion': {'short': 'robot', 'mem': 6},
# default is always last
'stabilityai/stable-diffusion-xl-base-1.0': {'short': 'stablexl', 'mem': 8.3},
}
SHORT_NAMES = [
model_info['short']
for model_info in MODELS.values()
]
def get_model_by_shortname(short: str):
for model, info in MODELS.items():
if short == info['short']:
return model
N = '\n'
HELP_TEXT = f'''
test art bot v{VERSION}
commands work on a user per user basis!
config is individual to each user!
/txt2img TEXT - request an image based on a prompt
/img2img <attach_image> TEXT - request an image base on an image and a prompt
/redo - redo last command (only works for txt2img for now!)
/help step - get info on step config option
/help guidance - get info on guidance config option
/cool - list of cool words to use
/stats - user statistics
/donate - see donation info
/config algo NAME - select AI to use one of:
/config model NAME - select AI to use one of:
{N.join(SHORT_NAMES)}
/config step NUMBER - set amount of iterations
/config seed [auto|NUMBER] - set the seed, deterministic results!
/config width NUMBER - set horizontal size in pixels
/config height NUMBER - set vertical size in pixels
/config upscaler [off/x4] - enable/disable x4 size upscaler
/config guidance NUMBER - prompt text importance
/config strength NUMBER - importance of the input image for img2img
'''
UNKNOWN_CMD_TEXT = 'Unknown command! Try sending \"/help\"'
DONATION_INFO = '0xf95335682DF281FFaB7E104EB87B69625d9622B6\ngoal: 0.0465/1.0000 ETH'
COOL_WORDS = [
'cyberpunk',
'soviet propaganda poster',
'rastafari',
'cannabis',
'art deco',
'H R Giger Necronom IV',
'dimethyltryptamine',
'lysergic',
'slut',
'psilocybin',
'trippy',
'lucy in the sky with diamonds',
'fractal',
'da vinci',
'pencil illustration',
'blueprint',
'internal diagram',
'baroque',
'the last judgment',
'michelangelo'
]
CLEAN_COOL_WORDS = [
'cyberpunk',
'soviet propaganda poster',
'rastafari',
'cannabis',
'art deco',
'H R Giger Necronom IV',
'dimethyltryptamine',
'lysergic',
'psilocybin',
'trippy',
'lucy in the sky with diamonds',
'fractal',
'da vinci',
'pencil illustration',
'blueprint',
'internal diagram',
'baroque',
'the last judgment',
'michelangelo'
]
HELP_TOPICS = {
'step': '''
Diffusion models are iterative processes – a repeated cycle that starts with a\
random noise generated from text input. With each step, some noise is removed\
, resulting in a higher-quality image over time. The repetition stops when the\
desired number of steps completes.
Around 25 sampling steps are usually enough to achieve high-quality images. Us\
ing more may produce a slightly different picture, but not necessarily better \
quality.
''',
'guidance': '''
The guidance scale is a parameter that controls how much the image generation\
process follows the text prompt. The higher the value, the more image sticks\
to a given text input. Value range 0 to 20. Recomended range: 4.5-7.5.
''',
'strength': '''
Noise is added to the image you use as an init image for img2img, and then the\
diffusion process continues according to the prompt. The amount of noise added\
depends on the \"Strength of img2img\"” parameter, which ranges from 0 to 1,\
where 0 adds no noise at all and you will get the exact image you added, and\
1 completely replaces the image with noise and almost acts as if you used\
normal txt2img instead of img2img.
'''
}
HELP_UNKWNOWN_PARAM = 'don\'t have any info on that.'
GROUP_ID = -1001541979235
MP_ENABLED_ROLES = ['god']
MIN_STEP = 1
MAX_STEP = 100
MAX_WIDTH = 1024
MAX_HEIGHT = 1024
MAX_GUIDANCE = 20
DEFAULT_SEED = None
DEFAULT_WIDTH = 1024
DEFAULT_HEIGHT = 1024
DEFAULT_GUIDANCE = 7.5
DEFAULT_STRENGTH = 0.5
DEFAULT_STEP = 28
DEFAULT_CREDITS = 10
DEFAULT_MODEL = list(MODELS.keys())[-1]
DEFAULT_ROLE = 'pleb'
DEFAULT_UPSCALER = None
DEFAULT_CONFIG_PATH = 'skynet.toml'
DEFAULT_INITAL_MODELS = [
'stabilityai/stable-diffusion-xl-base-1.0'
]
DATE_FORMAT = '%B the %dth %Y, %H:%M:%S'
CONFIG_ATTRS = [
'algo',
'step',
'width',
'height',
'seed',
'guidance',
'strength',
'upscaler'
]
DEFAULT_EXPLORER_DOMAIN = 'explorer.skygpu.net'
DEFAULT_IPFS_DOMAIN = 'ipfs.skygpu.net'
DEFAULT_IPFS_REMOTE = '/ip4/169.197.140.154/tcp/4001/p2p/12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv'
DEFAULT_IPFS_LOCAL = 'http://127.0.0.1:5001'
TG_MAX_WIDTH = 1280
TG_MAX_HEIGHT = 1280
DEFAULT_SINGLE_CARD_MAP = 'cuda:0'

3
skynet/db/__init__.py
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@ -1,3 +0,0 @@
#!/usr/bin/python
from .functions import open_new_database, open_database_connection

368
skynet/db/functions.py
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#!/usr/bin/python
import time
import random
import string
import logging
import importlib
from datetime import datetime
from contextlib import contextmanager as cm
from contextlib import asynccontextmanager as acm
import docker
import asyncpg
import psycopg2
from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
from ..constants import *
DB_INIT_SQL = '''
CREATE SCHEMA IF NOT EXISTS skynet;
CREATE TABLE IF NOT EXISTS skynet.user(
id BIGSERIAL PRIMARY KEY NOT NULL,
generated INT NOT NULL,
joined TIMESTAMP NOT NULL,
last_method TEXT,
last_prompt TEXT,
last_file TEXT,
last_binary TEXT,
role VARCHAR(128) NOT NULL
);
CREATE TABLE IF NOT EXISTS skynet.user_config(
id BIGSERIAL NOT NULL,
model VARCHAR(512) NOT NULL,
step INT NOT NULL,
width INT NOT NULL,
height INT NOT NULL,
seed NUMERIC,
guidance DECIMAL NOT NULL,
strength DECIMAL NOT NULL,
upscaler VARCHAR(128),
autoconf BOOLEAN DEFAULT TRUE,
CONSTRAINT fk_config
FOREIGN KEY(id)
REFERENCES skynet.user(id)
);
CREATE TABLE IF NOT EXISTS skynet.user_requests(
id BIGSERIAL NOT NULL,
user_id BIGSERIAL NOT NULL,
sent TIMESTAMP NOT NULL,
status TEXT NOT NULL,
status_msg BIGSERIAL PRIMARY KEY NOT NULL,
CONSTRAINT fk_user_req
FOREIGN KEY(user_id)
REFERENCES skynet.user(id)
);
'''
def try_decode_uid(uid: str):
try:
return None, int(uid)
except ValueError:
...
try:
proto, uid = uid.split('+')
uid = int(uid)
return proto, uid
except ValueError:
logging.warning(f'got non chat proto uid?: {uid}')
return None, None
@cm
def open_new_database(cleanup=True):
rpassword = ''.join(
random.choice(string.ascii_lowercase)
for i in range(12))
password = ''.join(
random.choice(string.ascii_lowercase)
for i in range(12))
dclient = docker.from_env()
container = dclient.containers.run(
'postgres',
name='skynet-test-postgres',
ports={'5432/tcp': None},
environment={
'POSTGRES_PASSWORD': rpassword
},
detach=True,
# could remove this if we ant the dockers to be persistent.
# remove=True
)
try:
for log in container.logs(stream=True):
log = log.decode().rstrip()
logging.info(log)
if ('database system is ready to accept connections' in log or
'database system is shut down' in log):
break
# ip = container.attrs['NetworkSettings']['IPAddress']
container.reload()
port = container.ports['5432/tcp'][0]['HostPort']
host = f'localhost:{port}'
# why print the system is ready to accept connections when its not
# postgres? wtf
time.sleep(1)
logging.info('creating skynet db...')
conn = psycopg2.connect(
user='postgres',
password=rpassword,
host='localhost',
port=port
)
logging.info('connected...')
conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
with conn.cursor() as cursor:
cursor.execute(
f'CREATE USER skynet WITH PASSWORD \'{password}\'')
cursor.execute(
f'CREATE DATABASE skynet')
cursor.execute(
f'GRANT ALL PRIVILEGES ON DATABASE skynet TO skynet')
conn.close()
logging.info('done.')
yield container, password, host
finally:
if container and cleanup:
container.stop()
@acm
async def open_database_connection(
db_user: str = 'skynet',
db_pass: str = 'password',
db_host: str = 'localhost:5432',
db_name: str = 'skynet'
):
db = importlib.import_module('skynet.db.functions')
pool = await asyncpg.create_pool(
dsn=f'postgres://{db_user}:{db_pass}@{db_host}/{db_name}')
async with pool.acquire() as conn:
res = await conn.execute(f'''
select distinct table_schema
from information_schema.tables
where table_schema = \'{db_name}\'
''')
if '1' in res:
logging.info('schema already in db, skipping init')
else:
await conn.execute(DB_INIT_SQL)
col_check = await conn.fetch(f'''
select column_name
from information_schema.columns
where table_name = 'user_config' and column_name = 'autoconf';
''')
if not col_check:
await conn.execute('alter table skynet.user_config add column autoconf boolean default true;')
async def _db_call(method: str, *args, **kwargs):
method = getattr(db, method)
async with pool.acquire() as conn:
return await method(conn, *args, **kwargs)
yield _db_call
async def get_user_config(conn, user: int):
stmt = await conn.prepare(
'SELECT * FROM skynet.user_config WHERE id = $1')
conf = await stmt.fetch(user)
if len(conf) == 1:
return conf[0]
else:
return None
async def get_user(conn, uid: int):
return await get_user_config(conn, uid)
async def get_last_method_of(conn, user: int):
stmt = await conn.prepare(
'SELECT last_method FROM skynet.user WHERE id = $1')
return await stmt.fetchval(user)
async def get_last_prompt_of(conn, user: int):
stmt = await conn.prepare(
'SELECT last_prompt FROM skynet.user WHERE id = $1')
return await stmt.fetchval(user)
async def get_last_file_of(conn, user: int):
stmt = await conn.prepare(
'SELECT last_file FROM skynet.user WHERE id = $1')
return await stmt.fetchval(user)
async def get_last_binary_of(conn, user: int):
stmt = await conn.prepare(
'SELECT last_binary FROM skynet.user WHERE id = $1')
return await stmt.fetchval(user)
async def get_user_request(conn, mid: int):
stmt = await conn.prepare(
'SELECT * FROM skynet.user_requests WHERE id = $1')
return await stmt.fetch(mid)
async def get_user_request_by_sid(conn, sid: int):
stmt = await conn.prepare(
'SELECT * FROM skynet.user_requests WHERE status_msg = $1')
return (await stmt.fetch(sid))[0]
async def new_user_request(
conn, user: int, mid: int,
status_msg: int,
status: str = 'started processing request...'
):
date = datetime.utcnow()
async with conn.transaction():
stmt = await conn.prepare('''
INSERT INTO skynet.user_requests(
id, user_id, sent, status, status_msg
)
VALUES($1, $2, $3, $4, $5)
''')
await stmt.fetch(mid, user, date, status, status_msg)
async def update_user_request(
conn, mid: int, status: str
):
stmt = await conn.prepare(f'''
UPDATE skynet.user_requests
SET status = $2
WHERE id = $1
''')
await stmt.fetch(mid, status)
async def update_user_request_by_sid(
conn, sid: int, status: str
):
stmt = await conn.prepare(f'''
UPDATE skynet.user_requests
SET status = $2
WHERE status_msg = $1
''')
await stmt.fetch(sid, status)
async def new_user(conn, uid: int):
if await get_user(conn, uid):
raise ValueError('User already present on db')
logging.info(f'new user! {uid}')
date = datetime.utcnow()
async with conn.transaction():
stmt = await conn.prepare('''
INSERT INTO skynet.user(
id, generated, joined,
last_method, last_prompt, last_file, last_binary,
role
)
VALUES($1, $2, $3, $4, $5, $6, $7, $8)
''')
await stmt.fetch(
uid, 0, date, 'txt2img', None, None, None, DEFAULT_ROLE
)
stmt = await conn.prepare('''
INSERT INTO skynet.user_config(
id, model, step, width, height, guidance, strength, upscaler)
VALUES($1, $2, $3, $4, $5, $6, $7, $8)
''')
resp = await stmt.fetch(
uid,
DEFAULT_MODEL,
DEFAULT_STEP,
DEFAULT_WIDTH,
DEFAULT_HEIGHT,
DEFAULT_GUIDANCE,
DEFAULT_STRENGTH,
DEFAULT_UPSCALER
)
async def get_or_create_user(conn, uid: str):
user = await get_user(conn, uid)
if not user:
await new_user(conn, uid)
user = await get_user(conn, uid)
return user
async def update_user(conn, user: int, attr: str, val):
stmt = await conn.prepare(f'''
UPDATE skynet.user
SET {attr} = $2
WHERE id = $1
''')
await stmt.fetch(user, val)
async def update_user_config(conn, user: int, attr: str, val):
stmt = await conn.prepare(f'''
UPDATE skynet.user_config
SET {attr} = $2
WHERE id = $1
''')
await stmt.fetch(user, val)
async def get_user_stats(conn, user: int):
stmt = await conn.prepare('''
SELECT generated,joined,role FROM skynet.user
WHERE id = $1
''')
records = await stmt.fetch(user)
assert len(records) == 1
record = records[0]
return record
async def increment_generated(conn, user: int):
stmt = await conn.prepare('''
UPDATE skynet.user
SET generated = generated + 1
WHERE id = $1
''')
await stmt.fetch(user)
async def update_user_stats(
conn,
user: int,
method: str,
last_prompt: str | None = None,
last_file: str | None = None,
last_binary: str | None = None
):
await update_user(conn, user, 'last_method', method)
if last_prompt:
await update_user(conn, user, 'last_prompt', last_prompt)
if last_file:
await update_user(conn, user, 'last_file', last_file)
if last_binary:
await update_user(conn, user, 'last_binary', last_binary)
logging.info((method, last_prompt, last_binary))

30
skynet/dgpu/__init__.py
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@ -1,30 +0,0 @@
#!/usr/bin/python
import trio
from hypercorn.config import Config
from hypercorn.trio import serve
from skynet.dgpu.compute import SkynetMM
from skynet.dgpu.daemon import SkynetDGPUDaemon
from skynet.dgpu.network import SkynetGPUConnector
async def open_dgpu_node(config: dict):
conn = SkynetGPUConnector(config)
mm = SkynetMM(config)
daemon = SkynetDGPUDaemon(mm, conn, config)
api = None
if 'api_bind' in config:
api_conf = Config()
api_conf.bind = [config['api_bind']]
api = await daemon.generate_api()
async with trio.open_nursery() as n:
n.start_soon(daemon.snap_updater_task)
if api:
n.start_soon(serve, api, api_conf)
await daemon.serve_forever()

210
skynet/dgpu/compute.py
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@ -1,210 +0,0 @@
#!/usr/bin/python
# Skynet Memory Manager
import gc
import logging
from hashlib import sha256
import zipfile
from PIL import Image
from diffusers import DiffusionPipeline
import trio
import torch
from skynet.constants import DEFAULT_INITAL_MODELS, MODELS
from skynet.dgpu.errors import DGPUComputeError, DGPUInferenceCancelled
from skynet.utils import crop_image, convert_from_cv2_to_image, convert_from_image_to_cv2, convert_from_img_to_bytes, init_upscaler, pipeline_for
def prepare_params_for_diffuse(
params: dict,
input_type: str,
binary = None
):
_params = {}
if binary != None:
match input_type:
case 'png':
image = crop_image(
binary, params['width'], params['height'])
_params['image'] = image
_params['strength'] = float(params['strength'])
case 'none':
...
case _:
raise DGPUComputeError(f'Unknown input_type {input_type}')
else:
_params['width'] = int(params['width'])
_params['height'] = int(params['height'])
return (
params['prompt'],
float(params['guidance']),
int(params['step']),
torch.manual_seed(int(params['seed'])),
params['upscaler'] if 'upscaler' in params else None,
_params
)
class SkynetMM:
def __init__(self, config: dict):
self.upscaler = init_upscaler()
self.initial_models = (
config['initial_models']
if 'initial_models' in config else DEFAULT_INITAL_MODELS
)
self.cache_dir = None
if 'hf_home' in config:
self.cache_dir = config['hf_home']
self._models = {}
for model in self.initial_models:
self.load_model(model, False, force=True)
def log_debug_info(self):
logging.info('memory summary:')
logging.info('\n' + torch.cuda.memory_summary())
def is_model_loaded(self, model_name: str, image: bool):
for model_key, model_data in self._models.items():
if (model_key == model_name and
model_data['image'] == image):
return True
return False
def load_model(
self,
model_name: str,
image: bool,
force=False
):
logging.info(f'loading model {model_name}...')
if force or len(self._models.keys()) == 0:
pipe = pipeline_for(
model_name, image=image, cache_dir=self.cache_dir)
self._models[model_name] = {
'pipe': pipe,
'generated': 0,
'image': image
}
else:
least_used = list(self._models.keys())[0]
for model in self._models:
if self._models[
least_used]['generated'] > self._models[model]['generated']:
least_used = model
del self._models[least_used]
logging.info(f'swapping model {least_used} for {model_name}...')
gc.collect()
torch.cuda.empty_cache()
pipe = pipeline_for(
model_name, image=image, cache_dir=self.cache_dir)
self._models[model_name] = {
'pipe': pipe,
'generated': 0,
'image': image
}
logging.info(f'loaded model {model_name}')
return pipe
def get_model(self, model_name: str, image: bool) -> DiffusionPipeline:
if model_name not in MODELS:
raise DGPUComputeError(f'Unknown model {model_name}')
if not self.is_model_loaded(model_name, image):
pipe = self.load_model(model_name, image=image)
else:
pipe = self._models[model_name]['pipe']
return pipe
def compute_one(
self,
request_id: int,
method: str,
params: dict,
input_type: str = 'png',
binary: bytes | None = None
):
def maybe_cancel_work(step, *args, **kwargs):
if self._should_cancel:
should_raise = trio.from_thread.run(self._should_cancel, request_id)
if should_raise:
logging.warn(f'cancelling work at step {step}')
raise DGPUInferenceCancelled()
maybe_cancel_work(0)
output_type = 'png'
if 'output_type' in params:
output_type = params['output_type']
output = None
output_hash = None
try:
match method:
case 'diffuse':
arguments = prepare_params_for_diffuse(
params, input_type, binary=binary)
prompt, guidance, step, seed, upscaler, extra_params = arguments
model = self.get_model(params['model'], 'image' in extra_params)
output = model(
prompt,
guidance_scale=guidance,
num_inference_steps=step,
generator=seed,
callback=maybe_cancel_work,
callback_steps=1,
**extra_params
).images[0]
output_binary = b''
match output_type:
case 'png':
if upscaler == 'x4':
input_img = output.convert('RGB')
up_img, _ = self.upscaler.enhance(
convert_from_image_to_cv2(input_img), outscale=4)
output = convert_from_cv2_to_image(up_img)
output_binary = convert_from_img_to_bytes(output)
case _:
raise DGPUComputeError(f'Unsupported output type: {output_type}')
output_hash = sha256(output_binary).hexdigest()
case _:
raise DGPUComputeError('Unsupported compute method')
except BaseException as e:
logging.error(e)
raise DGPUComputeError(str(e))
finally:
torch.cuda.empty_cache()
return output_hash, output

226
skynet/dgpu/daemon.py
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@ -1,226 +0,0 @@
#!/usr/bin/python
import json
import random
import logging
import time
import traceback
from hashlib import sha256
from datetime import datetime
from functools import partial
import trio
from quart import jsonify
from quart_trio import QuartTrio as Quart
from skynet.constants import MODELS, VERSION
from skynet.dgpu.errors import *
from skynet.dgpu.compute import SkynetMM
from skynet.dgpu.network import SkynetGPUConnector
def convert_reward_to_int(reward_str):
int_part, decimal_part = (
reward_str.split('.')[0],
reward_str.split('.')[1].split(' ')[0]
)
return int(int_part + decimal_part)
class SkynetDGPUDaemon:
def __init__(
self,
mm: SkynetMM,
conn: SkynetGPUConnector,
config: dict
):
self.mm = mm
self.conn = conn
self.auto_withdraw = (
config['auto_withdraw']
if 'auto_withdraw' in config else False
)
self.account = config['account']
self.non_compete = set()
if 'non_compete' in config:
self.non_compete = set(config['non_compete'])
self.model_whitelist = set()
if 'model_whitelist' in config:
self.model_whitelist = set(config['model_whitelist'])
self.model_blacklist = set()
if 'model_blacklist' in config:
self.model_blacklist = set(config['model_blacklist'])
self.backend = 'sync-on-thread'
if 'backend' in config:
self.backend = config['backend']
self._snap = {
'queue': [],
'requests': {},
'my_results': []
}
self._benchmark = []
self._last_benchmark = None
self._last_generation_ts = None
def _get_benchmark_speed(self) -> float:
if not self._last_benchmark:
return 0
start = self._last_benchmark[0]
end = self._last_benchmark[-1]
elapsed = end - start
its = len(self._last_benchmark)
speed = its / elapsed
logging.info(f'{elapsed} s total its: {its}, at {speed} it/s ')
return speed
async def should_cancel_work(self, request_id: int):
self._benchmark.append(time.time())
competitors = set([
status['worker']
for status in self._snap['requests'][request_id]
if status['worker'] != self.account
])
return bool(self.non_compete & competitors)
async def snap_updater_task(self):
while True:
self._snap = await self.conn.get_full_queue_snapshot()
await trio.sleep(1)
async def generate_api(self):
app = Quart(__name__)
@app.route('/')
async def health():
return jsonify(
account=self.account,
version=VERSION,
last_generation_ts=self._last_generation_ts,
last_generation_speed=self._get_benchmark_speed()
)
return app
async def serve_forever(self):
try:
while True:
if self.auto_withdraw:
await self.conn.maybe_withdraw_all()
queue = self._snap['queue']
random.shuffle(queue)
queue = sorted(
queue,
key=lambda req: convert_reward_to_int(req['reward']),
reverse=True
)
for req in queue:
rid = req['id']
# parse request
body = json.loads(req['body'])
model = body['params']['model']
# if model not known
if model not in MODELS:
logging.warning(f'Unknown model {model}')
continue
# if whitelist enabled and model not in it continue
if (len(self.model_whitelist) > 0 and
not model in self.model_whitelist):
continue
# if blacklist contains model skip
if model in self.model_blacklist:
continue
my_results = [res['id'] for res in self._snap['my_results']]
if rid not in my_results and rid in self._snap['requests']:
statuses = self._snap['requests'][rid]
if len(statuses) == 0:
binary, input_type = await self.conn.get_input_data(req['binary_data'])
hash_str = (
str(req['nonce'])
+
req['body']
+
req['binary_data']
)
logging.info(f'hashing: {hash_str}')
request_hash = sha256(hash_str.encode('utf-8')).hexdigest()
# TODO: validate request
# perform work
logging.info(f'working on {body}')
resp = await self.conn.begin_work(rid)
if 'code' in resp:
logging.info(f'probably being worked on already... skip.')
else:
try:
output_type = 'png'
if 'output_type' in body['params']:
output_type = body['params']['output_type']
output = None
output_hash = None
match self.backend:
case 'sync-on-thread':
self.mm._should_cancel = self.should_cancel_work
output_hash, output = await trio.to_thread.run_sync(
partial(
self.mm.compute_one,
rid,
body['method'], body['params'],
input_type=input_type,
binary=binary
)
)
case _:
raise DGPUComputeError(f'Unsupported backend {self.backend}')
self._last_generation_ts = datetime.now().isoformat()
self._last_benchmark = self._benchmark
self._benchmark = []
ipfs_hash = await self.conn.publish_on_ipfs(output, typ=output_type)
await self.conn.submit_work(rid, request_hash, output_hash, ipfs_hash)
except BaseException as e:
traceback.print_exc()
await self.conn.cancel_work(rid, str(e))
finally:
break
else:
logging.info(f'request {rid} already beign worked on, skip...')
await trio.sleep(1)
except KeyboardInterrupt:
...

8
skynet/dgpu/errors.py
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@ -1,8 +0,0 @@
#!/usr/bin/python
class DGPUComputeError(BaseException):
...
class DGPUInferenceCancelled(BaseException):
...

312
skynet/dgpu/network.py
View File

@ -1,312 +0,0 @@
#!/usr/bin/python
import io
import json
import time
import logging
from pathlib import Path
from functools import partial
import asks
import trio
import anyio
from PIL import Image, UnidentifiedImageError
from leap.cleos import CLEOS
from leap.sugar import Checksum256, Name, asset_from_str
from skynet.constants import DEFAULT_IPFS_DOMAIN
from skynet.ipfs import AsyncIPFSHTTP, get_ipfs_file
from skynet.dgpu.errors import DGPUComputeError
REQUEST_UPDATE_TIME = 3
async def failable(fn: partial, ret_fail=None):
try:
return await fn()
except (
OSError,
json.JSONDecodeError,
asks.errors.RequestTimeout,
asks.errors.BadHttpResponse,
anyio.BrokenResourceError
):
return ret_fail
class SkynetGPUConnector:
def __init__(self, config: dict):
self.account = Name(config['account'])
self.permission = config['permission']
self.key = config['key']
self.node_url = config['node_url']
self.hyperion_url = config['hyperion_url']
self.cleos = CLEOS(
None, None, self.node_url, remote=self.node_url)
self.ipfs_gateway_url = None
if 'ipfs_gateway_url' in config:
self.ipfs_gateway_url = config['ipfs_gateway_url']
self.ipfs_url = config['ipfs_url']
self.ipfs_client = AsyncIPFSHTTP(self.ipfs_url)
self.ipfs_domain = DEFAULT_IPFS_DOMAIN
if 'ipfs_domain' in config:
self.ipfs_domain = config['ipfs_domain']
self._wip_requests = {}
# blockchain helpers
async def get_work_requests_last_hour(self):
logging.info('get_work_requests_last_hour')
return await failable(
partial(
self.cleos.aget_table,
'telos.gpu', 'telos.gpu', 'queue',
index_position=2,
key_type='i64',
lower_bound=int(time.time()) - 3600
), ret_fail=[])
async def get_status_by_request_id(self, request_id: int):
logging.info('get_status_by_request_id')
return await failable(
partial(
self.cleos.aget_table,
'telos.gpu', request_id, 'status'), ret_fail=[])
async def get_global_config(self):
logging.info('get_global_config')
rows = await failable(
partial(
self.cleos.aget_table,
'telos.gpu', 'telos.gpu', 'config'))
if rows:
return rows[0]
else:
return None
async def get_worker_balance(self):
logging.info('get_worker_balance')
rows = await failable(
partial(
self.cleos.aget_table,
'telos.gpu', 'telos.gpu', 'users',
index_position=1,
key_type='name',
lower_bound=self.account,
upper_bound=self.account
))
if rows:
return rows[0]['balance']
else:
return None
async def get_competitors_for_req(self, request_id: int) -> set:
competitors = [
status['worker']
for status in
(await self.get_status_by_request_id(request_id))
if status['worker'] != self.account
]
logging.info(f'competitors: {competitors}')
return set(competitors)
async def get_full_queue_snapshot(self):
snap = {
'requests': {},
'my_results': []
}
snap['queue'] = await self.get_work_requests_last_hour()
async def _run_and_save(d, key: str, fn, *args, **kwargs):
d[key] = await fn(*args, **kwargs)
async with trio.open_nursery() as n:
n.start_soon(_run_and_save, snap, 'my_results', self.find_my_results)
for req in snap['queue']:
n.start_soon(
_run_and_save, snap['requests'], req['id'], self.get_status_by_request_id, req['id'])
return snap
async def begin_work(self, request_id: int):
logging.info('begin_work')
return await failable(
partial(
self.cleos.a_push_action,
'telos.gpu',
'workbegin',
{
'worker': self.account,
'request_id': request_id,
'max_workers': 2
},
self.account, self.key,
permission=self.permission
)
)
async def cancel_work(self, request_id: int, reason: str):
logging.info('cancel_work')
return await failable(
partial(
self.cleos.a_push_action,
'telos.gpu',
'workcancel',
{
'worker': self.account,
'request_id': request_id,
'reason': reason
},
self.account, self.key,
permission=self.permission
)
)
async def maybe_withdraw_all(self):
logging.info('maybe_withdraw_all')
balance = await self.get_worker_balance()
if not balance:
return
balance_amount = float(balance.split(' ')[0])
if balance_amount > 0:
await failable(
partial(
self.cleos.a_push_action,
'telos.gpu',
'withdraw',
{
'user': self.account,
'quantity': asset_from_str(balance)
},
self.account, self.key,
permission=self.permission
)
)
async def find_my_results(self):
logging.info('find_my_results')
return await failable(
partial(
self.cleos.aget_table,
'telos.gpu', 'telos.gpu', 'results',
index_position=4,
key_type='name',
lower_bound=self.account,
upper_bound=self.account
)
)
async def submit_work(
self,
request_id: int,
request_hash: str,
result_hash: str,
ipfs_hash: str
):
logging.info('submit_work')
return await failable(
partial(
self.cleos.a_push_action,
'telos.gpu',
'submit',
{
'worker': self.account,
'request_id': request_id,
'request_hash': Checksum256(request_hash),
'result_hash': Checksum256(result_hash),
'ipfs_hash': ipfs_hash
},
self.account, self.key,
permission=self.permission
)
)
# IPFS helpers
async def publish_on_ipfs(self, raw, typ: str = 'png'):
Path('ipfs-staging').mkdir(exist_ok=True)
logging.info('publish_on_ipfs')
target_file = ''
match typ:
case 'png':
raw: Image
target_file = 'ipfs-staging/image.png'
raw.save(target_file)
case _:
raise ValueError(f'Unsupported output type: {typ}')
if self.ipfs_gateway_url:
# check peer connections, reconnect to skynet gateway if not
gateway_id = Path(self.ipfs_gateway_url).name
peers = await self.ipfs_client.peers()
if gateway_id not in [p['Peer'] for p in peers]:
await self.ipfs_client.connect(self.ipfs_gateway_url)
file_info = await self.ipfs_client.add(Path(target_file))
file_cid = file_info['Hash']
await self.ipfs_client.pin(file_cid)
return file_cid
async def get_input_data(self, ipfs_hash: str) -> tuple[bytes, str]:
input_type = 'none'
if ipfs_hash == '':
return b'', input_type
results = {}
ipfs_link = f'https://{self.ipfs_domain}/ipfs/{ipfs_hash}'
ipfs_link_legacy = ipfs_link + '/image.png'
async with trio.open_nursery() as n:
async def get_and_set_results(link: str):
res = await get_ipfs_file(link, timeout=1)
logging.info(f'got response from {link}')
if not res or res.status_code != 200:
logging.warning(f'couldn\'t get ipfs binary data at {link}!')
else:
try:
# attempt to decode as image
results[link] = Image.open(io.BytesIO(res.raw))
input_type = 'png'
n.cancel_scope.cancel()
except UnidentifiedImageError:
logging.warning(f'couldn\'t get ipfs binary data at {link}!')
n.start_soon(
get_and_set_results, ipfs_link)
n.start_soon(
get_and_set_results, ipfs_link_legacy)
input_data = None
if ipfs_link_legacy in results:
input_data = results[ipfs_link_legacy]
if ipfs_link in results:
input_data = results[ipfs_link]
if input_data == None:
raise DGPUComputeError('Couldn\'t gather input data from ipfs')
return input_data, input_type

131
skynet/frontend/__init__.py
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@ -1,131 +0,0 @@
#!/usr/bin/python
import random
from ..constants import *
class ConfigRequestFormatError(BaseException):
...
class ConfigUnknownAttribute(BaseException):
...
class ConfigUnknownAlgorithm(BaseException):
...
class ConfigUnknownUpscaler(BaseException):
...
class ConfigUnknownAutoConfSetting(BaseException):
...
class ConfigSizeDivisionByEight(BaseException):
...
def validate_user_config_request(req: str):
params = req.split(' ')
if len(params) < 3:
raise ConfigRequestFormatError('config request format incorrect')
else:
try:
attr = params[1]
match attr:
case 'model' | 'algo':
attr = 'model'
val = params[2]
shorts = [model_info['short'] for model_info in MODELS.values()]
if val not in shorts:
raise ConfigUnknownAlgorithm(f'no model named {val}')
val = get_model_by_shortname(val)
case 'step':
val = int(params[2])
val = max(min(val, MAX_STEP), MIN_STEP)
case 'width':
val = max(min(int(params[2]), MAX_WIDTH), 16)
if val % 8 != 0:
raise ConfigSizeDivisionByEight(
'size must be divisible by 8!')
case 'height':
val = max(min(int(params[2]), MAX_HEIGHT), 16)
if val % 8 != 0:
raise ConfigSizeDivisionByEight(
'size must be divisible by 8!')
case 'seed':
val = params[2]
if val == 'auto':
val = None
else:
val = int(params[2])
case 'guidance':
val = float(params[2])
val = max(min(val, MAX_GUIDANCE), 0)
case 'strength':
val = float(params[2])
val = max(min(val, 0.99), 0.01)
case 'upscaler':
val = params[2]
if val == 'off':
val = None
elif val != 'x4':
raise ConfigUnknownUpscaler(
f'\"{val}\" is not a valid upscaler')
case 'autoconf':
val = params[2]
if val == 'on':
val = True
elif val == 'off':
val = False
else:
raise ConfigUnknownAutoConfSetting(
f'\"{val}\" not a valid setting for autoconf')
case _:
raise ConfigUnknownAttribute(
f'\"{attr}\" not a configurable parameter')
display_val = val
if attr == 'seed':
if not val:
display_val = 'Random'
return attr, val, f'config updated! {attr} to {display_val}'
except ValueError:
raise ValueError(f'\"{val}\" is not a number silly')
def perform_auto_conf(config: dict) -> dict:
model = config['model']
prefered_size_w = 512
prefered_size_h = 512
if 'xl' in model:
prefered_size_w = 1024
prefered_size_h = 1024
else:
prefered_size_w = 512
prefered_size_h = 512
config['step'] = random.randint(20, 35)
config['width'] = prefered_size_w
config['height'] = prefered_size_h
return config

311
skynet/frontend/discord/__init__.py
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@ -1,311 +0,0 @@
#!/usr/bin/python
from json import JSONDecodeError
import random
import logging
import asyncio
from decimal import Decimal
from hashlib import sha256
from datetime import datetime
from contextlib import ExitStack, AsyncExitStack
from contextlib import asynccontextmanager as acm
from leap.cleos import CLEOS
from leap.sugar import Name, asset_from_str, collect_stdout
from leap.hyperion import HyperionAPI
# from telebot.types import InputMediaPhoto
import discord
import io
from skynet.db import open_database_connection
from skynet.ipfs import get_ipfs_file, AsyncIPFSHTTP
from skynet.constants import *
from . import *
from .bot import DiscordBot
from .utils import *
from .handlers import create_handler_context
from .ui import SkynetView
class SkynetDiscordFrontend:
def __init__(
self,
# token: str,
account: str,
permission: str,
node_url: str,
hyperion_url: str,
db_host: str,
db_user: str,
db_pass: str,
ipfs_url: str,
remote_ipfs_node: str,
key: str,
explorer_domain: str,
ipfs_domain: str
):
# self.token = token
self.account = account
self.permission = permission
self.node_url = node_url
self.hyperion_url = hyperion_url
self.db_host = db_host
self.db_user = db_user
self.db_pass = db_pass
self.ipfs_url = ipfs_url
self.remote_ipfs_node = remote_ipfs_node
self.key = key
self.explorer_domain = explorer_domain
self.ipfs_domain = ipfs_domain
self.bot = DiscordBot(self)
self.cleos = CLEOS(None, None, url=node_url, remote=node_url)
self.hyperion = HyperionAPI(hyperion_url)
self.ipfs_node = AsyncIPFSHTTP(ipfs_node)
self._exit_stack = ExitStack()
self._async_exit_stack = AsyncExitStack()
async def start(self):
if self.remote_ipfs_node:
await self.ipfs_node.connect(self.remote_ipfs_node)
self.db_call = await self._async_exit_stack.enter_async_context(
open_database_connection(
self.db_user, self.db_pass, self.db_host))
create_handler_context(self)
async def stop(self):
await self._async_exit_stack.aclose()
self._exit_stack.close()
@acm
async def open(self):
await self.start()
yield self
await self.stop()
# maybe do this?
# async def update_status_message(
# self, status_msg, new_text: str, **kwargs
# ):
# await self.db_call(
# 'update_user_request_by_sid', status_msg.id, new_text)
# return await self.bot.edit_message_text(
# new_text,
# chat_id=status_msg.chat.id,
# message_id=status_msg.id,
# **kwargs
# )
# async def append_status_message(
# self, status_msg, add_text: str, **kwargs
# ):
# request = await self.db_call('get_user_request_by_sid', status_msg.id)
# await self.update_status_message(
# status_msg,
# request['status'] + add_text,
# **kwargs
# )
async def work_request(
self,
user,
status_msg,
method: str,
params: dict,
ctx: discord.ext.commands.context.Context | discord.Message,
file_id: str | None = None,
binary_data: str = ''
) -> bool:
send = ctx.channel.send
if params['seed'] == None:
params['seed'] = random.randint(0, 0xFFFFFFFF)
sanitized_params = {}
for key, val in params.items():
if isinstance(val, Decimal):
val = str(val)
sanitized_params[key] = val
body = json.dumps({
'method': 'diffuse',
'params': sanitized_params
})
request_time = datetime.now().isoformat()
await status_msg.delete()
msg_text = f'processing a \'{method}\' request by {user.name}\n[{timestamp_pretty()}] *broadcasting transaction to chain...* '
embed = discord.Embed(
title='live updates',
description=msg_text,
color=discord.Color.blue())
message = await send(embed=embed)
reward = '20.0000 GPU'
res = await self.cleos.a_push_action(
'telos.gpu',
'enqueue',
{
'user': Name(self.account),
'request_body': body,
'binary_data': binary_data,
'reward': asset_from_str(reward),
'min_verification': 1
},
self.account, self.key, permission=self.permission
)
if 'code' in res or 'statusCode' in res:
logging.error(json.dumps(res, indent=4))
await self.bot.channel.send(
status_msg,
'skynet has suffered an internal error trying to fill this request')
return False
enqueue_tx_id = res['transaction_id']
enqueue_tx_link = f'[**Your request on Skynet Explorer**](https://{self.explorer_domain}/v2/explore/transaction/{enqueue_tx_id})'
msg_text += f'**broadcasted!** \n{enqueue_tx_link}\n[{timestamp_pretty()}] *workers are processing request...* '
embed = discord.Embed(
title='live updates',
description=msg_text,
color=discord.Color.blue())
await message.edit(embed=embed)
out = collect_stdout(res)
request_id, nonce = out.split(':')
request_hash = sha256(
(nonce + body + binary_data).encode('utf-8')).hexdigest().upper()
request_id = int(request_id)
logging.info(f'{request_id} enqueued.')
tx_hash = None
ipfs_hash = None
for i in range(60):
try:
submits = await self.hyperion.aget_actions(
account=self.account,
filter='telos.gpu:submit',
sort='desc',
after=request_time
)
actions = [
action
for action in submits['actions']
if action[
'act']['data']['request_hash'] == request_hash
]
if len(actions) > 0:
tx_hash = actions[0]['trx_id']
data = actions[0]['act']['data']
ipfs_hash = data['ipfs_hash']
worker = data['worker']
logging.info('Found matching submit!')
break
except JSONDecodeError:
logging.error(f'network error while getting actions, retry..')
await asyncio.sleep(1)
if not ipfs_hash:
timeout_text = f'\n[{timestamp_pretty()}] **timeout processing request**'
embed = discord.Embed(
title='live updates',
description=timeout_text,
color=discord.Color.blue())
await message.edit(embed=embed)
return False
tx_link = f'[**Your result on Skynet Explorer**](https://explorer.{DEFAULT_DOMAIN}/v2/explore/transaction/{tx_hash})'
msg_text += f'**request processed!**\n{tx_link}\n[{timestamp_pretty()}] *trying to download image...*\n '
embed = discord.Embed(
title='live updates',
description=msg_text,
color=discord.Color.blue())
await message.edit(embed=embed)
# attempt to get the image and send it
results = {}
ipfs_link = f'https://{self.ipfs_domain}/ipfs/{ipfs_hash}'
ipfs_link_legacy = ipfs_link + '/image.png'
async def get_and_set_results(link: str):
res = await get_ipfs_file(link)
logging.info(f'got response from {link}')
if not res or res.status_code != 200:
logging.warning(f'couldn\'t get ipfs binary data at {link}!')
else:
try:
with Image.open(io.BytesIO(res.raw)) as image:
tmp_buf = io.BytesIO()
image.save(tmp_buf, format='PNG')
png_img = tmp_buf.getvalue()
results[link] = png_img
except UnidentifiedImageError:
logging.warning(f'couldn\'t get ipfs binary data at {link}!')
tasks = [
get_and_set_results(ipfs_link),
get_and_set_results(ipfs_link_legacy)
]
await asyncio.gather(*tasks)
png_img = None
if ipfs_link_legacy in results:
png_img = results[ipfs_link_legacy]
if ipfs_link in results:
png_img = results[ipfs_link]
if not png_img:
await self.update_status_message(
status_msg,
caption,
reply_markup=build_redo_menu(),
parse_mode='HTML'
)
return True
# reword this function, may not need caption
caption, embed = generate_reply_caption(
user, params, tx_hash, worker, reward)
if not resp or resp.status_code != 200:
logging.error(f'couldn\'t get ipfs hosted image at {ipfs_link}!')
embed.add_field(name='Error', value=f'couldn\'t get ipfs hosted image [**here**]({ipfs_link})!')
await message.edit(embed=embed, view=SkynetView(self))
else:
logging.info(f'success! sending generated image')
await message.delete()
if file_id: # img2img
embed.set_thumbnail(
url='https://ipfs.skygpu.net/ipfs/' + binary_data + '/image.png')
embed.set_image(url=ipfs_link)
await send(embed=embed, view=SkynetView(self))
else: # txt2img
embed.set_image(url=ipfs_link)
await send(embed=embed, view=SkynetView(self))
return True

89
skynet/frontend/discord/bot.py
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@ -1,89 +0,0 @@
# import os
import discord
import asyncio
# from dotenv import load_dotenv
# from pathlib import Path
from discord.ext import commands
from .ui import SkynetView
# # Auth
# current_dir = Path(__file__).resolve().parent
# # parent_dir = current_dir.parent
# env_file_path = current_dir / ".env"
# load_dotenv(dotenv_path=env_file_path)
#
# discordToken = os.getenv("DISCORD_TOKEN")
# Actual Discord bot.
class DiscordBot(commands.Bot):
def __init__(self, bot, *args, **kwargs):
self.bot = bot
intents = discord.Intents(
messages=True,
guilds=True,
typing=True,
members=True,
presences=True,
reactions=True,
message_content=True,
voice_states=True
)
super().__init__(command_prefix='/', intents=intents, *args, **kwargs)
# async def setup_hook(self):
# db.poll_db.start()
async def on_ready(self):
print(f'{self.user.name} has connected to Discord!')
for guild in self.guilds:
for channel in guild.channels:
if channel.name == "skynet":
await channel.send('Skynet bot online', view=SkynetView(self.bot))
# intro_msg = await channel.send('Welcome to the Skynet discord bot.\nSkynet is a decentralized compute layer, focused on supporting AI paradigms. Skynet leverages blockchain technology to manage work requests and fills. We are currently featuring image generation and support 11 different models. Get started with the /help command, or just click on some buttons. Here is an example command to generate an image:\n/txt2img a big red tractor in a giant field of corn')
intro_msg = await channel.send("Welcome to Skynet's Discord Bot,\n\nSkynet operates as a decentralized compute layer, offering a wide array of support for diverse AI paradigms through the use of blockchain technology. Our present focus is image generation, powered by 11 distinct models.\n\nTo begin exploring, use the '/help' command or directly interact with the provided buttons. Here is an example command to generate an image:\n\n'/txt2img a big red tractor in a giant field of corn'")
await intro_msg.pin()
print("\n==============")
print("Logged in as")
print(self.user.name)
print(self.user.id)
print("==============")
async def on_message(self, message):
if isinstance(message.channel, discord.DMChannel):
return
elif message.channel.name != 'skynet':
return
elif message.author == self.user:
return
await self.process_commands(message)
# await asyncio.sleep(3)
# await message.channel.send('', view=SkynetView(self.bot))
async def on_command_error(self, ctx, error):
if isinstance(error, commands.MissingRequiredArgument):
await ctx.send('You missed a required argument, please try again.')
# async def on_message(self, message):
# print(f"message from {message.author} what he said {message.content}")
# await message.channel.send(message.content)
# bot=DiscordBot()
# @bot.command(name='config', help='Responds with the configuration')
# async def config(ctx):
# response = "This is the bot configuration" # Put your bot configuration here
# await ctx.send(response)
#
# @bot.command(name='helper', help='Responds with a help')
# async def helper(ctx):
# response = "This is help information" # Put your help response here
# await ctx.send(response)
#
# @bot.command(name='txt2img', help='Responds with an image')
# async def txt2img(ctx, *, arg):
# response = f"This is your prompt: {arg}"
# await ctx.send(response)
# bot.run(discordToken)

603
skynet/frontend/discord/handlers.py
View File

@ -1,603 +0,0 @@
#!/usr/bin/python
import io
import json
import logging
from datetime import datetime, timedelta
from PIL import Image
# from telebot.types import CallbackQuery, Message
from skynet.frontend import validate_user_config_request
from skynet.constants import *
from .ui import SkynetView
def create_handler_context(frontend: 'SkynetDiscordFrontend'):
bot = frontend.bot
cleos = frontend.cleos
db_call = frontend.db_call
work_request = frontend.work_request
ipfs_node = frontend.ipfs_node
@bot.command(name='config', help='Responds with the configuration')
async def set_config(ctx):
user = ctx.author
try:
attr, val, reply_txt = validate_user_config_request(
ctx.message.content)
logging.info(f'user config update: {attr} to {val}')
await db_call('update_user_config', user.id, attr, val)
logging.info('done')
except BaseException as e:
reply_txt = str(e)
finally:
await ctx.reply(content=reply_txt, view=SkynetView(frontend))
bot.remove_command('help')
@bot.command(name='help', help='Responds with a help')
async def help(ctx):
splt_msg = ctx.message.content.split(' ')
if len(splt_msg) == 1:
await ctx.send(content=f'```{HELP_TEXT}```', view=SkynetView(frontend))
else:
param = splt_msg[1]
if param in HELP_TOPICS:
await ctx.send(content=f'```{HELP_TOPICS[param]}```', view=SkynetView(frontend))
else:
await ctx.send(content=f'```{HELP_UNKWNOWN_PARAM}```', view=SkynetView(frontend))
@bot.command(name='cool', help='Display a list of cool prompt words')
async def send_cool_words(ctx):
clean_cool_word = '\n'.join(CLEAN_COOL_WORDS)
await ctx.send(content=f'```{clean_cool_word}```', view=SkynetView(frontend))
@bot.command(name='stats', help='See user statistics' )
async def user_stats(ctx):
user = ctx.author
await db_call('get_or_create_user', user.id)
generated, joined, role = await db_call('get_user_stats', user.id)
stats_str = f'```generated: {generated}\n'
stats_str += f'joined: {joined}\n'
stats_str += f'role: {role}\n```'
await ctx.reply(stats_str, view=SkynetView(frontend))
@bot.command(name='donate', help='See donate info')
async def donation_info(ctx):
await ctx.reply(
f'```\n{DONATION_INFO}```', view=SkynetView(frontend))
@bot.command(name='txt2img', help='Responds with an image')
async def send_txt2img(ctx):
# grab user from ctx
user = ctx.author
user_row = await db_call('get_or_create_user', user.id)
# init new msg
init_msg = 'started processing txt2img request...'
status_msg = await ctx.send(init_msg)
await db_call(
'new_user_request', user.id, ctx.message.id, status_msg.id, status=init_msg)
prompt = ' '.join(ctx.message.content.split(' ')[1:])
if len(prompt) == 0:
await status_msg.edit(content=
'Empty text prompt ignored.'
)
await db_call('update_user_request', status_msg.id, 'Empty text prompt ignored.')
return
logging.info(f'mid: {ctx.message.id}')
user_config = {**user_row}
del user_config['id']
params = {
'prompt': prompt,
**user_config
}
await db_call(
'update_user_stats', user.id, 'txt2img', last_prompt=prompt)
success = await work_request(user, status_msg, 'txt2img', params, ctx)
if success:
await db_call('increment_generated', user.id)
@bot.command(name='redo', help='Redo last request')
async def redo(ctx):
init_msg = 'started processing redo request...'
status_msg = await ctx.send(init_msg)
user = ctx.author
method = await db_call('get_last_method_of', user.id)
prompt = await db_call('get_last_prompt_of', user.id)
file_id = None
binary = ''
if method == 'img2img':
file_id = await db_call('get_last_file_of', user.id)
binary = await db_call('get_last_binary_of', user.id)
if not prompt:
await status_msg.edit(
content='no last prompt found, do a txt2img cmd first!',
view=SkynetView(frontend)
)
return
user_row = await db_call('get_or_create_user', user.id)
await db_call(
'new_user_request', user.id, ctx.message.id, status_msg.id, status=init_msg)
user_config = {**user_row}
del user_config['id']
params = {
'prompt': prompt,
**user_config
}
success = await work_request(
user, status_msg, 'redo', params, ctx,
file_id=file_id,
binary_data=binary
)
if success:
await db_call('increment_generated', user.id)
@bot.command(name='img2img', help='Responds with an image')
async def send_img2img(ctx):
# if isinstance(message_or_query, CallbackQuery):
# query = message_or_query
# message = query.message
# user = query.from_user
# chat = query.message.chat
#
# else:
# message = message_or_query
# user = message.from_user
# chat = message.chat
# reply_id = None
# if chat.type == 'group' and chat.id == GROUP_ID:
# reply_id = message.message_id
#
user = ctx.author
user_row = await db_call('get_or_create_user', user.id)
# init new msg
init_msg = 'started processing img2img request...'
status_msg = await ctx.send(init_msg)
await db_call(
'new_user_request', user.id, ctx.message.id, status_msg.id, status=init_msg)
if not ctx.message.content.startswith('/img2img'):
await ctx.reply(
'For image to image you need to add /img2img to the beggining of your caption'
)
return
prompt = ' '.join(ctx.message.content.split(' ')[1:])
if len(prompt) == 0:
await ctx.reply('Empty text prompt ignored.')
return
# file_id = message.photo[-1].file_id
# file_path = (await bot.get_file(file_id)).file_path
# image_raw = await bot.download_file(file_path)
#
file = ctx.message.attachments[-1]
file_id = str(file.id)
# file bytes
image_raw = await file.read()
with Image.open(io.BytesIO(image_raw)) as image:
w, h = image.size
if w > 512 or h > 512:
logging.warning(f'user sent img of size {image.size}')
image.thumbnail((512, 512))
logging.warning(f'resized it to {image.size}')
image_loc = 'ipfs-staging/image.png'
image.save(image_loc, format='PNG')
ipfs_info = await ipfs_node.add(image_loc)
ipfs_hash = ipfs_info['Hash']
await ipfs_node.pin(ipfs_hash)
logging.info(f'published input image {ipfs_hash} on ipfs')
logging.info(f'mid: {ctx.message.id}')
user_config = {**user_row}
del user_config['id']
params = {
'prompt': prompt,
**user_config
}
await db_call(
'update_user_stats',
user.id,
'img2img',
last_file=file_id,
last_prompt=prompt,
last_binary=ipfs_hash
)
success = await work_request(
user, status_msg, 'img2img', params, ctx,
file_id=file_id,
binary_data=ipfs_hash
)
if success:
await db_call('increment_generated', user.id)
# TODO: DELETE BELOW
# user = 'testworker3'
# status_msg = 'status'
# params = {
# 'prompt': arg,
# 'seed': None,
# 'step': 35,
# 'guidance': 7.5,
# 'strength': 0.5,
# 'width': 512,
# 'height': 512,
# 'upscaler': None,
# 'model': 'prompthero/openjourney',
# }
#
# ec = await work_request(user, status_msg, 'txt2img', params, ctx)
# print(ec)
# if ec == 0:
# await db_call('increment_generated', user.id)
# response = f"This is your prompt: {arg}"
# await ctx.send(response)
# generic / simple handlers
# @bot.message_handler(commands=['help'])
# async def send_help(message):
# splt_msg = message.text.split(' ')
#
# if len(splt_msg) == 1:
# await bot.reply_to(message, HELP_TEXT)
#
# else:
# param = splt_msg[1]
# if param in HELP_TOPICS:
# await bot.reply_to(message, HELP_TOPICS[param])
#
# else:
# await bot.reply_to(message, HELP_UNKWNOWN_PARAM)
#
# @bot.message_handler(commands=['cool'])
# async def send_cool_words(message):
# await bot.reply_to(message, '\n'.join(COOL_WORDS))
#
# @bot.message_handler(commands=['queue'])
# async def queue(message):
# an_hour_ago = datetime.now() - timedelta(hours=1)
# queue = await cleos.aget_table(
# 'telos.gpu', 'telos.gpu', 'queue',
# index_position=2,
# key_type='i64',
# sort='desc',
# lower_bound=int(an_hour_ago.timestamp())
# )
# await bot.reply_to(
# message, f'Total requests on skynet queue: {len(queue)}')
# @bot.message_handler(commands=['config'])
# async def set_config(message):
# user = message.from_user.id
# try:
# attr, val, reply_txt = validate_user_config_request(
# message.text)
#
# logging.info(f'user config update: {attr} to {val}')
# await db_call('update_user_config', user, attr, val)
# logging.info('done')
#
# except BaseException as e:
# reply_txt = str(e)
#
# finally:
# await bot.reply_to(message, reply_txt)
#
# @bot.message_handler(commands=['stats'])
# async def user_stats(message):
# user = message.from_user.id
#
# await db_call('get_or_create_user', user)
# generated, joined, role = await db_call('get_user_stats', user)
#
# stats_str = f'generated: {generated}\n'
# stats_str += f'joined: {joined}\n'
# stats_str += f'role: {role}\n'
#
# await bot.reply_to(
# message, stats_str)
#
# @bot.message_handler(commands=['donate'])
# async def donation_info(message):
# await bot.reply_to(
# message, DONATION_INFO)
#
# @bot.message_handler(commands=['say'])
# async def say(message):
# chat = message.chat
# user = message.from_user
#
# if (chat.type == 'group') or (user.id != 383385940):
# return
#
# await bot.send_message(GROUP_ID, message.text[4:])
# generic txt2img handler
# async def _generic_txt2img(message_or_query):
# if isinstance(message_or_query, CallbackQuery):
# query = message_or_query
# message = query.message
# user = query.from_user
# chat = query.message.chat
#
# else:
# message = message_or_query
# user = message.from_user
# chat = message.chat
#
# reply_id = None
# if chat.type == 'group' and chat.id == GROUP_ID:
# reply_id = message.message_id
#
# user_row = await db_call('get_or_create_user', user.id)
#
# # init new msg
# init_msg = 'started processing txt2img request...'
# status_msg = await bot.reply_to(message, init_msg)
# await db_call(
# 'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
#
# prompt = ' '.join(message.text.split(' ')[1:])
#
# if len(prompt) == 0:
# await bot.edit_message_text(
# 'Empty text prompt ignored.',
# chat_id=status_msg.chat.id,
# message_id=status_msg.id
# )
# await db_call('update_user_request', status_msg.id, 'Empty text prompt ignored.')
# return
#
# logging.info(f'mid: {message.id}')
#
# user_config = {**user_row}
# del user_config['id']
#
# params = {
# 'prompt': prompt,
# **user_config
# }
#
# await db_call(
# 'update_user_stats', user.id, 'txt2img', last_prompt=prompt)
#
# ec = await work_request(user, status_msg, 'txt2img', params)
# if ec == 0:
# await db_call('increment_generated', user.id)
#
#
# # generic img2img handler
#
# async def _generic_img2img(message_or_query):
# if isinstance(message_or_query, CallbackQuery):
# query = message_or_query
# message = query.message
# user = query.from_user
# chat = query.message.chat
#
# else:
# message = message_or_query
# user = message.from_user
# chat = message.chat
#
# reply_id = None
# if chat.type == 'group' and chat.id == GROUP_ID:
# reply_id = message.message_id
#
# user_row = await db_call('get_or_create_user', user.id)
#
# # init new msg
# init_msg = 'started processing txt2img request...'
# status_msg = await bot.reply_to(message, init_msg)
# await db_call(
# 'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
#
# if not message.caption.startswith('/img2img'):
# await bot.reply_to(
# message,
# 'For image to image you need to add /img2img to the beggining of your caption'
# )
# return
#
# prompt = ' '.join(message.caption.split(' ')[1:])
#
# if len(prompt) == 0:
# await bot.reply_to(message, 'Empty text prompt ignored.')
# return
#
# file_id = message.photo[-1].file_id
# file_path = (await bot.get_file(file_id)).file_path
# image_raw = await bot.download_file(file_path)
# with Image.open(io.BytesIO(image_raw)) as image:
# w, h = image.size
#
# if w > 512 or h > 512:
# logging.warning(f'user sent img of size {image.size}')
# image.thumbnail((512, 512))
# logging.warning(f'resized it to {image.size}')
#
# image.save(f'ipfs-docker-staging/image.png', format='PNG')
#
# ipfs_hash = ipfs_node.add('image.png')
# ipfs_node.pin(ipfs_hash)
#
# logging.info(f'published input image {ipfs_hash} on ipfs')
#
# logging.info(f'mid: {message.id}')
#
# user_config = {**user_row}
# del user_config['id']
#
# params = {
# 'prompt': prompt,
# **user_config
# }
#
# await db_call(
# 'update_user_stats',
# user.id,
# 'img2img',
# last_file=file_id,
# last_prompt=prompt,
# last_binary=ipfs_hash
# )
#
# ec = await work_request(
# user, status_msg, 'img2img', params,
# file_id=file_id,
# binary_data=ipfs_hash
# )
#
# if ec == 0:
# await db_call('increment_generated', user.id)
#
# generic redo handler
# async def _redo(message_or_query):
# is_query = False
# if isinstance(message_or_query, CallbackQuery):
# is_query = True
# query = message_or_query
# message = query.message
# user = query.from_user
# chat = query.message.chat
#
# elif isinstance(message_or_query, Message):
# message = message_or_query
# user = message.from_user
# chat = message.chat
#
# init_msg = 'started processing redo request...'
# if is_query:
# status_msg = await bot.send_message(chat.id, init_msg)
#
# else:
# status_msg = await bot.reply_to(message, init_msg)
#
# method = await db_call('get_last_method_of', user.id)
# prompt = await db_call('get_last_prompt_of', user.id)
#
# file_id = None
# binary = ''
# if method == 'img2img':
# file_id = await db_call('get_last_file_of', user.id)
# binary = await db_call('get_last_binary_of', user.id)
#
# if not prompt:
# await bot.reply_to(
# message,
# 'no last prompt found, do a txt2img cmd first!'
# )
# return
#
#
# user_row = await db_call('get_or_create_user', user.id)
# await db_call(
# 'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
# user_config = {**user_row}
# del user_config['id']
#
# params = {
# 'prompt': prompt,
# **user_config
# }
#
# await work_request(
# user, status_msg, 'redo', params,
# file_id=file_id,
# binary_data=binary
# )
# "proxy" handlers just request routers
# @bot.message_handler(commands=['txt2img'])
# async def send_txt2img(message):
# await _generic_txt2img(message)
#
# @bot.message_handler(func=lambda message: True, content_types=[
# 'photo', 'document'])
# async def send_img2img(message):
# await _generic_img2img(message)
#
# @bot.message_handler(commands=['img2img'])
# async def img2img_missing_image(message):
# await bot.reply_to(
# message,
# 'seems you tried to do an img2img command without sending image'
# )
#
# @bot.message_handler(commands=['redo'])
# async def redo(message):
# await _redo(message)
#
# @bot.callback_query_handler(func=lambda call: True)
# async def callback_query(call):
# msg = json.loads(call.data)
# logging.info(call.data)
# method = msg.get('method')
# match method:
# case 'redo':
# await _redo(call)
# catch all handler for things we dont support
# @bot.message_handler(func=lambda message: True)
# async def echo_message(message):
# if message.text[0] == '/':
# await bot.reply_to(message, UNKNOWN_CMD_TEXT)

311
skynet/frontend/discord/ui.py
View File

@ -1,311 +0,0 @@
import io
import discord
from PIL import Image
import logging
from skynet.constants import *
from skynet.frontend import validate_user_config_request
class SkynetView(discord.ui.View):
def __init__(self, bot):
self.bot = bot
super().__init__(timeout=None)
self.add_item(RedoButton('redo', discord.ButtonStyle.primary, self.bot))
self.add_item(Txt2ImgButton('txt2img', discord.ButtonStyle.primary, self.bot))
self.add_item(Img2ImgButton('img2img', discord.ButtonStyle.primary, self.bot))
self.add_item(StatsButton('stats', discord.ButtonStyle.secondary, self.bot))
self.add_item(DonateButton('donate', discord.ButtonStyle.secondary, self.bot))
self.add_item(ConfigButton('config', discord.ButtonStyle.secondary, self.bot))
self.add_item(HelpButton('help', discord.ButtonStyle.secondary, self.bot))
self.add_item(CoolButton('cool', discord.ButtonStyle.secondary, self.bot))
class Txt2ImgButton(discord.ui.Button):
def __init__(self, label: str, style: discord.ButtonStyle, bot):
self.bot = bot
super().__init__(label=label, style=style)
async def callback(self, interaction):
db_call = self.bot.db_call
work_request = self.bot.work_request
msg = await grab('Enter your prompt:', interaction)
# grab user from msg
user = msg.author
user_row = await db_call('get_or_create_user', user.id)
# init new msg
init_msg = 'started processing txt2img request...'
status_msg = await msg.channel.send(init_msg)
await db_call(
'new_user_request', user.id, msg.id, status_msg.id, status=init_msg)
prompt = msg.content
if len(prompt) == 0:
await status_msg.edit(content=
'Empty text prompt ignored.'
)
await db_call('update_user_request', status_msg.id, 'Empty text prompt ignored.')
return
logging.info(f'mid: {msg.id}')
user_config = {**user_row}
del user_config['id']
params = {
'prompt': prompt,
**user_config
}
await db_call(
'update_user_stats', user.id, 'txt2img', last_prompt=prompt)
success = await work_request(user, status_msg, 'txt2img', params, msg)
if success:
await db_call('increment_generated', user.id)
class Img2ImgButton(discord.ui.Button):
def __init__(self, label: str, style: discord.ButtonStyle, bot):
self.bot = bot
super().__init__(label=label, style=style)
async def callback(self, interaction):
db_call = self.bot.db_call
work_request = self.bot.work_request
ipfs_node = self.bot.ipfs_node
msg = await grab('Attach an Image. Enter your prompt:', interaction)
user = msg.author
user_row = await db_call('get_or_create_user', user.id)
# init new msg
init_msg = 'started processing img2img request...'
status_msg = await msg.channel.send(init_msg)
await db_call(
'new_user_request', user.id, msg.id, status_msg.id, status=init_msg)
# if not msg.content.startswith('/img2img'):
# await msg.reply(
# 'For image to image you need to add /img2img to the beggining of your caption'
# )
# return
prompt = msg.content
if len(prompt) == 0:
await msg.reply('Empty text prompt ignored.')
return
# file_id = message.photo[-1].file_id
# file_path = (await bot.get_file(file_id)).file_path
# image_raw = await bot.download_file(file_path)
#
file = msg.attachments[-1]
file_id = str(file.id)
# file bytes
image_raw = await file.read()
with Image.open(io.BytesIO(image_raw)) as image:
w, h = image.size
if w > 512 or h > 512:
logging.warning(f'user sent img of size {image.size}')
image.thumbnail((512, 512))
logging.warning(f'resized it to {image.size}')
image.save(f'ipfs-docker-staging/image.png', format='PNG')
ipfs_hash = ipfs_node.add('image.png')
ipfs_node.pin(ipfs_hash)
logging.info(f'published input image {ipfs_hash} on ipfs')
logging.info(f'mid: {msg.id}')
user_config = {**user_row}
del user_config['id']
params = {
'prompt': prompt,
**user_config
}
await db_call(
'update_user_stats',
user.id,
'img2img',
last_file=file_id,
last_prompt=prompt,
last_binary=ipfs_hash
)
success = await work_request(
user, status_msg, 'img2img', params, msg,
file_id=file_id,
binary_data=ipfs_hash
)
if success:
await db_call('increment_generated', user.id)
class RedoButton(discord.ui.Button):
def __init__(self, label: str, style: discord.ButtonStyle, bot):
self.bot = bot
super().__init__(label=label, style=style)
async def callback(self, interaction):
db_call = self.bot.db_call
work_request = self.bot.work_request
init_msg = 'started processing redo request...'
await interaction.response.send_message(init_msg)
status_msg = await interaction.original_response()
user = interaction.user
method = await db_call('get_last_method_of', user.id)
prompt = await db_call('get_last_prompt_of', user.id)
file_id = None
binary = ''
if method == 'img2img':
file_id = await db_call('get_last_file_of', user.id)
binary = await db_call('get_last_binary_of', user.id)
if not prompt:
await status_msg.edit(
content='no last prompt found, do a txt2img cmd first!',
view=SkynetView(self.bot)
)
return
user_row = await db_call('get_or_create_user', user.id)
await db_call(
'new_user_request', user.id, interaction.id, status_msg.id, status=init_msg)
user_config = {**user_row}
del user_config['id']
params = {
'prompt': prompt,
**user_config
}
success = await work_request(
user, status_msg, 'redo', params, interaction,
file_id=file_id,
binary_data=binary
)
if success:
await db_call('increment_generated', user.id)
class ConfigButton(discord.ui.Button):
def __init__(self, label: str, style: discord.ButtonStyle, bot):
self.bot = bot
super().__init__(label=label, style=style)
async def callback(self, interaction):
db_call = self.bot.db_call
msg = await grab('What params do you want to change? (format: <param> <value>)', interaction)
user = interaction.user
try:
attr, val, reply_txt = validate_user_config_request(
'/config ' + msg.content)
logging.info(f'user config update: {attr} to {val}')
await db_call('update_user_config', user.id, attr, val)
logging.info('done')
except BaseException as e:
reply_txt = str(e)
finally:
await msg.reply(content=reply_txt, view=SkynetView(self.bot))
class StatsButton(discord.ui.Button):
def __init__(self, label: str, style: discord.ButtonStyle, bot):
self.bot = bot
super().__init__(label=label, style=style)
async def callback(self, interaction):
db_call = self.bot.db_call
user = interaction.user
await db_call('get_or_create_user', user.id)
generated, joined, role = await db_call('get_user_stats', user.id)
stats_str = f'```generated: {generated}\n'
stats_str += f'joined: {joined}\n'
stats_str += f'role: {role}\n```'
await interaction.response.send_message(
content=stats_str, view=SkynetView(self.bot))
class DonateButton(discord.ui.Button):
def __init__(self, label: str, style: discord.ButtonStyle, bot):
self.bot = bot
super().__init__(label=label, style=style)
async def callback(self, interaction):
await interaction.response.send_message(
content=f'```\n{DONATION_INFO}```',
view=SkynetView(self.bot))
class CoolButton(discord.ui.Button):
def __init__(self, label: str, style: discord.ButtonStyle, bot):
self.bot = bot
super().__init__(label=label, style=style)
async def callback(self, interaction):
clean_cool_word = '\n'.join(CLEAN_COOL_WORDS)
await interaction.response.send_message(
content=f'```{clean_cool_word}```',
view=SkynetView(self.bot))
class HelpButton(discord.ui.Button):
def __init__(self, label: str, style: discord.ButtonStyle, bot):
self.bot = bot
super().__init__(label=label, style=style)
async def callback(self, interaction):
msg = await grab('What would you like help with? (a for all)', interaction)
param = msg.content
if param == 'a':
await msg.reply(content=f'```{HELP_TEXT}```', view=SkynetView(self.bot))
else:
if param in HELP_TOPICS:
await msg.reply(content=f'```{HELP_TOPICS[param]}```', view=SkynetView(self.bot))
else:
await msg.reply(content=f'```{HELP_UNKWNOWN_PARAM}```', view=SkynetView(self.bot))
async def grab(prompt, interaction):
def vet(m):
return m.author == interaction.user and m.channel == interaction.channel
await interaction.response.send_message(prompt, ephemeral=True)
message = await interaction.client.wait_for('message', check=vet)
return message

122
skynet/frontend/discord/utils.py
View File

@ -1,122 +0,0 @@
#!/usr/bin/python
import json
import logging
import traceback
from datetime import datetime, timezone
from telebot.types import InlineKeyboardButton, InlineKeyboardMarkup
from telebot.async_telebot import ExceptionHandler
from telebot.formatting import hlink
import discord
from skynet.constants import *
def timestamp_pretty():
return datetime.now(timezone.utc).strftime('%H:%M:%S')
def tg_user_pretty(tguser):
if tguser.username:
return f'@{tguser.username}'
else:
return f'{tguser.first_name} id: {tguser.id}'
class SKYExceptionHandler(ExceptionHandler):
def handle(exception):
traceback.print_exc()
def build_redo_menu():
btn_redo = InlineKeyboardButton("Redo", callback_data=json.dumps({'method': 'redo'}))
inline_keyboard = InlineKeyboardMarkup()
inline_keyboard.add(btn_redo)
return inline_keyboard
def prepare_metainfo_caption(user, worker: str, reward: str, meta: dict, embed) -> str:
prompt = meta["prompt"]
if len(prompt) > 256:
prompt = prompt[:256]
gen_str = f'generated by {user.name}\n'
gen_str += f'performed by {worker}\n'
gen_str += f'reward: {reward}\n'
embed.add_field(
name='General Info', value=f'```{gen_str}```', inline=False)
# meta_str = f'__by {user.name}__\n'
# meta_str += f'*performed by {worker}*\n'
# meta_str += f'__**reward: {reward}**__\n'
embed.add_field(name='Prompt', value=f'```{prompt}\n```', inline=False)
# meta_str = f'`prompt:` {prompt}\n'
meta_str = f'seed: {meta["seed"]}\n'
meta_str += f'step: {meta["step"]}\n'
meta_str += f'guidance: {meta["guidance"]}\n'
if meta['strength']:
meta_str += f'strength: {meta["strength"]}\n'
meta_str += f'algo: {meta["model"]}\n'
if meta['upscaler']:
meta_str += f'upscaler: {meta["upscaler"]}\n'
embed.add_field(name='Parameters', value=f'```{meta_str}```', inline=False)
foot_str = f'Made with Skynet v{VERSION}\n'
foot_str += f'JOIN THE SWARM: https://discord.gg/JYM4YPMgK'
embed.set_footer(text=foot_str)
return meta_str
def generate_reply_caption(
user, # discord user
params: dict,
tx_hash: str,
worker: str,
reward: str,
explorer_domain: str
):
explorer_link = discord.Embed(
title='[SKYNET Transaction Explorer]',
url=f'https://{explorer_domain}/v2/explore/transaction/{tx_hash}',
color=discord.Color.blue())
meta_info = prepare_metainfo_caption(user, worker, reward, params, explorer_link)
# why do we have this?
final_msg = '\n'.join([
'Worker finished your task!',
# explorer_link,
f'PARAMETER INFO:\n{meta_info}'
])
final_msg = '\n'.join([
# f'***{explorer_link}***',
f'{meta_info}'
])
logging.info(final_msg)
return final_msg, explorer_link
async def get_global_config(cleos):
return (await cleos.aget_table(
'telos.gpu', 'telos.gpu', 'config'))[0]
async def get_user_nonce(cleos, user: str):
return (await cleos.aget_table(
'telos.gpu', 'telos.gpu', 'users',
index_position=1,
key_type='name',
lower_bound=user,
upper_bound=user
))[0]['nonce']

319
skynet/frontend/telegram/__init__.py
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@ -1,319 +0,0 @@
#!/usr/bin/python
import io
import random
import logging
import asyncio
from PIL import Image, UnidentifiedImageError
from json import JSONDecodeError
from decimal import Decimal
from hashlib import sha256
from datetime import datetime
from contextlib import AsyncExitStack
from contextlib import asynccontextmanager as acm
from leap.cleos import CLEOS
from leap.sugar import Name, asset_from_str, collect_stdout
from leap.hyperion import HyperionAPI
from telebot.types import InputMediaPhoto
from telebot.async_telebot import AsyncTeleBot
from skynet.db import open_database_connection
from skynet.ipfs import get_ipfs_file, AsyncIPFSHTTP
from skynet.constants import *
from . import *
from .utils import *
from .handlers import create_handler_context
class SkynetTelegramFrontend:
def __init__(
self,
token: str,
account: str,
permission: str,
node_url: str,
hyperion_url: str,
db_host: str,
db_user: str,
db_pass: str,
ipfs_node: str,
remote_ipfs_node: str | None,
key: str,
explorer_domain: str,
ipfs_domain: str
):
self.token = token
self.account = account
self.permission = permission
self.node_url = node_url
self.hyperion_url = hyperion_url
self.db_host = db_host
self.db_user = db_user
self.db_pass = db_pass
self.remote_ipfs_node = remote_ipfs_node
self.key = key
self.explorer_domain = explorer_domain
self.ipfs_domain = ipfs_domain
self.bot = AsyncTeleBot(token, exception_handler=SKYExceptionHandler)
self.cleos = CLEOS(None, None, url=node_url, remote=node_url)
self.hyperion = HyperionAPI(hyperion_url)
self.ipfs_node = AsyncIPFSHTTP(ipfs_node)
self._async_exit_stack = AsyncExitStack()
async def start(self):
if self.remote_ipfs_node:
await self.ipfs_node.connect(self.remote_ipfs_node)
self.db_call = await self._async_exit_stack.enter_async_context(
open_database_connection(
self.db_user, self.db_pass, self.db_host))
create_handler_context(self)
async def stop(self):
await self._async_exit_stack.aclose()
@acm
async def open(self):
await self.start()
yield self
await self.stop()
async def update_status_message(
self, status_msg, new_text: str, **kwargs
):
await self.db_call(
'update_user_request_by_sid', status_msg.id, new_text)
return await self.bot.edit_message_text(
new_text,
chat_id=status_msg.chat.id,
message_id=status_msg.id,
**kwargs
)
async def append_status_message(
self, status_msg, add_text: str, **kwargs
):
request = await self.db_call('get_user_request_by_sid', status_msg.id)
await self.update_status_message(
status_msg,
request['status'] + add_text,
**kwargs
)
async def work_request(
self,
user,
status_msg,
method: str,
params: dict,
file_id: str | None = None,
binary_data: str = ''
) -> bool:
if params['seed'] == None:
params['seed'] = random.randint(0, 0xFFFFFFFF)
sanitized_params = {}
for key, val in params.items():
if isinstance(val, Decimal):
val = str(val)
sanitized_params[key] = val
body = json.dumps({
'method': 'diffuse',
'params': sanitized_params
})
request_time = datetime.now().isoformat()
await self.update_status_message(
status_msg,
f'processing a \'{method}\' request by {tg_user_pretty(user)}\n'
f'[{timestamp_pretty()}] <i>broadcasting transaction to chain...</i>',
parse_mode='HTML'
)
reward = '20.0000 GPU'
res = await self.cleos.a_push_action(
'telos.gpu',
'enqueue',
{
'user': Name(self.account),
'request_body': body,
'binary_data': binary_data,
'reward': asset_from_str(reward),
'min_verification': 1
},
self.account, self.key, permission=self.permission
)
if 'code' in res or 'statusCode' in res:
logging.error(json.dumps(res, indent=4))
await self.update_status_message(
status_msg,
'skynet has suffered an internal error trying to fill this request')
return False
enqueue_tx_id = res['transaction_id']
enqueue_tx_link = hlink(
'Your request on Skynet Explorer',
f'https://{self.explorer_domain}/v2/explore/transaction/{enqueue_tx_id}'
)
await self.append_status_message(
status_msg,
f' <b>broadcasted!</b>\n'
f'<b>{enqueue_tx_link}</b>\n'
f'[{timestamp_pretty()}] <i>workers are processing request...</i>',
parse_mode='HTML'
)
out = collect_stdout(res)
request_id, nonce = out.split(':')
request_hash = sha256(
(nonce + body + binary_data).encode('utf-8')).hexdigest().upper()
request_id = int(request_id)
logging.info(f'{request_id} enqueued.')
tx_hash = None
ipfs_hash = None
for i in range(60):
try:
submits = await self.hyperion.aget_actions(
account=self.account,
filter='telos.gpu:submit',
sort='desc',
after=request_time
)
actions = [
action
for action in submits['actions']
if action[
'act']['data']['request_hash'] == request_hash
]
if len(actions) > 0:
tx_hash = actions[0]['trx_id']
data = actions[0]['act']['data']
ipfs_hash = data['ipfs_hash']
worker = data['worker']
logging.info('Found matching submit!')
break
except JSONDecodeError:
logging.error(f'network error while getting actions, retry..')
await asyncio.sleep(1)
if not ipfs_hash:
await self.update_status_message(
status_msg,
f'\n[{timestamp_pretty()}] <b>timeout processing request</b>',
parse_mode='HTML'
)
return False
tx_link = hlink(
'Your result on Skynet Explorer',
f'https://{self.explorer_domain}/v2/explore/transaction/{tx_hash}'
)
await self.append_status_message(
status_msg,
f' <b>request processed!</b>\n'
f'<b>{tx_link}</b>\n'
f'[{timestamp_pretty()}] <i>trying to download image...</i>\n',
parse_mode='HTML'
)
caption = generate_reply_caption(
user, params, tx_hash, worker, reward, self.explorer_domain)
# attempt to get the image and send it
results = {}
ipfs_link = f'https://{self.ipfs_domain}/ipfs/{ipfs_hash}'
ipfs_link_legacy = ipfs_link + '/image.png'
async def get_and_set_results(link: str):
res = await get_ipfs_file(link)
logging.info(f'got response from {link}')
if not res or res.status_code != 200:
logging.warning(f'couldn\'t get ipfs binary data at {link}!')
else:
try:
with Image.open(io.BytesIO(res.raw)) as image:
w, h = image.size
if w > TG_MAX_WIDTH or h > TG_MAX_HEIGHT:
logging.warning(f'result is of size {image.size}')
image.thumbnail((TG_MAX_WIDTH, TG_MAX_HEIGHT))
tmp_buf = io.BytesIO()
image.save(tmp_buf, format='PNG')
png_img = tmp_buf.getvalue()
results[link] = png_img
except UnidentifiedImageError:
logging.warning(f'couldn\'t get ipfs binary data at {link}!')
tasks = [
get_and_set_results(ipfs_link),
get_and_set_results(ipfs_link_legacy)
]
await asyncio.gather(*tasks)
png_img = None
if ipfs_link_legacy in results:
png_img = results[ipfs_link_legacy]
if ipfs_link in results:
png_img = results[ipfs_link]
if not png_img:
await self.update_status_message(
status_msg,
caption,
reply_markup=build_redo_menu(),
parse_mode='HTML'
)
return True
logging.info(f'success! sending generated image')
await self.bot.delete_message(
chat_id=status_msg.chat.id, message_id=status_msg.id)
if file_id: # img2img
await self.bot.send_media_group(
status_msg.chat.id,
media=[
InputMediaPhoto(file_id),
InputMediaPhoto(
png_img,
caption=caption,
parse_mode='HTML'
)
],
)
else: # txt2img
await self.bot.send_photo(
status_msg.chat.id,
caption=caption,
photo=png_img,
reply_markup=build_redo_menu(),
parse_mode='HTML'
)
return True

367
skynet/frontend/telegram/handlers.py
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@ -1,367 +0,0 @@
#!/usr/bin/python
import io
import json
import logging
from datetime import datetime, timedelta
from PIL import Image
from telebot.types import CallbackQuery, Message
from skynet.frontend import validate_user_config_request, perform_auto_conf
from skynet.constants import *
def create_handler_context(frontend: 'SkynetTelegramFrontend'):
bot = frontend.bot
cleos = frontend.cleos
db_call = frontend.db_call
work_request = frontend.work_request
ipfs_node = frontend.ipfs_node
# generic / simple handlers
@bot.message_handler(commands=['help'])
async def send_help(message):
splt_msg = message.text.split(' ')
if len(splt_msg) == 1:
await bot.reply_to(message, HELP_TEXT)
else:
param = splt_msg[1]
if param in HELP_TOPICS:
await bot.reply_to(message, HELP_TOPICS[param])
else:
await bot.reply_to(message, HELP_UNKWNOWN_PARAM)
@bot.message_handler(commands=['cool'])
async def send_cool_words(message):
await bot.reply_to(message, '\n'.join(COOL_WORDS))
@bot.message_handler(commands=['queue'])
async def queue(message):
an_hour_ago = datetime.now() - timedelta(hours=1)
queue = await cleos.aget_table(
'telos.gpu', 'telos.gpu', 'queue',
index_position=2,
key_type='i64',
sort='desc',
lower_bound=int(an_hour_ago.timestamp())
)
await bot.reply_to(
message, f'Total requests on skynet queue: {len(queue)}')
@bot.message_handler(commands=['config'])
async def set_config(message):
user = message.from_user.id
try:
attr, val, reply_txt = validate_user_config_request(
message.text)
logging.info(f'user config update: {attr} to {val}')
await db_call('update_user_config', user, attr, val)
logging.info('done')
except BaseException as e:
reply_txt = str(e)
finally:
await bot.reply_to(message, reply_txt)
@bot.message_handler(commands=['stats'])
async def user_stats(message):
user = message.from_user.id
await db_call('get_or_create_user', user)
generated, joined, role = await db_call('get_user_stats', user)
stats_str = f'generated: {generated}\n'
stats_str += f'joined: {joined}\n'
stats_str += f'role: {role}\n'
await bot.reply_to(
message, stats_str)
@bot.message_handler(commands=['donate'])
async def donation_info(message):
await bot.reply_to(
message, DONATION_INFO)
@bot.message_handler(commands=['say'])
async def say(message):
chat = message.chat
user = message.from_user
if (chat.type == 'group') or (user.id != 383385940):
return
await bot.send_message(GROUP_ID, message.text[4:])
# generic txt2img handler
async def _generic_txt2img(message_or_query):
if isinstance(message_or_query, CallbackQuery):
query = message_or_query
message = query.message
user = query.from_user
chat = query.message.chat
else:
message = message_or_query
user = message.from_user
chat = message.chat
if chat.type == 'private':
return
reply_id = None
if chat.type == 'group' and chat.id == GROUP_ID:
reply_id = message.message_id
user_row = await db_call('get_or_create_user', user.id)
# init new msg
init_msg = 'started processing txt2img request...'
status_msg = await bot.reply_to(message, init_msg)
await db_call(
'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
prompt = ' '.join(message.text.split(' ')[1:])
if len(prompt) == 0:
await bot.edit_message_text(
'Empty text prompt ignored.',
chat_id=status_msg.chat.id,
message_id=status_msg.id
)
await db_call('update_user_request', status_msg.id, 'Empty text prompt ignored.')
return
logging.info(f'mid: {message.id}')
user_config = {**user_row}
del user_config['id']
if user_config['autoconf']:
user_config = perform_auto_conf(user_config)
params = {
'prompt': prompt,
**user_config
}
await db_call(
'update_user_stats', user.id, 'txt2img', last_prompt=prompt)
success = await work_request(user, status_msg, 'txt2img', params)
if success:
await db_call('increment_generated', user.id)
# generic img2img handler
async def _generic_img2img(message_or_query):
if isinstance(message_or_query, CallbackQuery):
query = message_or_query
message = query.message
user = query.from_user
chat = query.message.chat
else:
message = message_or_query
user = message.from_user
chat = message.chat
if chat.type == 'private':
return
reply_id = None
if chat.type == 'group' and chat.id == GROUP_ID:
reply_id = message.message_id
user_row = await db_call('get_or_create_user', user.id)
# init new msg
init_msg = 'started processing txt2img request...'
status_msg = await bot.reply_to(message, init_msg)
await db_call(
'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
if not message.caption.startswith('/img2img'):
await bot.reply_to(
message,
'For image to image you need to add /img2img to the beggining of your caption'
)
return
prompt = ' '.join(message.caption.split(' ')[1:])
if len(prompt) == 0:
await bot.reply_to(message, 'Empty text prompt ignored.')
return
file_id = message.photo[-1].file_id
file_path = (await bot.get_file(file_id)).file_path
image_raw = await bot.download_file(file_path)
user_config = {**user_row}
del user_config['id']
if user_config['autoconf']:
user_config = perform_auto_conf(user_config)
with Image.open(io.BytesIO(image_raw)) as image:
w, h = image.size
if w > user_config['width'] or h > user_config['height']:
logging.warning(f'user sent img of size {image.size}')
image.thumbnail(
(user_config['width'], user_config['height']))
logging.warning(f'resized it to {image.size}')
image_loc = 'ipfs-staging/image.png'
image.save(image_loc, format='PNG')
ipfs_info = await ipfs_node.add(image_loc)
ipfs_hash = ipfs_info['Hash']
await ipfs_node.pin(ipfs_hash)
logging.info(f'published input image {ipfs_hash} on ipfs')
logging.info(f'mid: {message.id}')
params = {
'prompt': prompt,
**user_config
}
await db_call(
'update_user_stats',
user.id,
'img2img',
last_file=file_id,
last_prompt=prompt,
last_binary=ipfs_hash
)
success = await work_request(
user, status_msg, 'img2img', params,
file_id=file_id,
binary_data=ipfs_hash
)
if success:
await db_call('increment_generated', user.id)
# generic redo handler
async def _redo(message_or_query):
is_query = False
if isinstance(message_or_query, CallbackQuery):
is_query = True
query = message_or_query
message = query.message
user = query.from_user
chat = query.message.chat
elif isinstance(message_or_query, Message):
message = message_or_query
user = message.from_user
chat = message.chat
if chat.type == 'private':
return
init_msg = 'started processing redo request...'
if is_query:
status_msg = await bot.send_message(chat.id, init_msg)
else:
status_msg = await bot.reply_to(message, init_msg)
method = await db_call('get_last_method_of', user.id)
prompt = await db_call('get_last_prompt_of', user.id)
file_id = None
binary = ''
if method == 'img2img':
file_id = await db_call('get_last_file_of', user.id)
binary = await db_call('get_last_binary_of', user.id)
if not prompt:
await bot.reply_to(
message,
'no last prompt found, do a txt2img cmd first!'
)
return
user_row = await db_call('get_or_create_user', user.id)
await db_call(
'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
user_config = {**user_row}
del user_config['id']
if user_config['autoconf']:
user_config = perform_auto_conf(user_config)
params = {
'prompt': prompt,
**user_config
}
success = await work_request(
user, status_msg, 'redo', params,
file_id=file_id,
binary_data=binary
)
if success:
await db_call('increment_generated', user.id)
# "proxy" handlers just request routers
@bot.message_handler(commands=['txt2img'])
async def send_txt2img(message):
await _generic_txt2img(message)
@bot.message_handler(func=lambda message: True, content_types=[
'photo', 'document'])
async def send_img2img(message):
await _generic_img2img(message)
@bot.message_handler(commands=['img2img'])
async def img2img_missing_image(message):
await bot.reply_to(
message,
'seems you tried to do an img2img command without sending image'
)
@bot.message_handler(commands=['redo'])
async def redo(message):
await _redo(message)
@bot.callback_query_handler(func=lambda call: True)
async def callback_query(call):
msg = json.loads(call.data)
logging.info(call.data)
method = msg.get('method')
match method:
case 'redo':
await _redo(call)
# catch all handler for things we dont support
@bot.message_handler(func=lambda message: True)
async def echo_message(message):
if message.text[0] == '/':
await bot.reply_to(message, UNKNOWN_CMD_TEXT)

107
skynet/frontend/telegram/utils.py
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@ -1,107 +0,0 @@
#!/usr/bin/python
import json
import logging
import traceback
from datetime import datetime, timezone
from telebot.types import InlineKeyboardButton, InlineKeyboardMarkup
from telebot.async_telebot import ExceptionHandler
from telebot.formatting import hlink
from skynet.constants import *
def timestamp_pretty():
return datetime.now(timezone.utc).strftime('%H:%M:%S')
def tg_user_pretty(tguser):
if tguser.username:
return f'@{tguser.username}'
else:
return f'{tguser.first_name} id: {tguser.id}'
class SKYExceptionHandler(ExceptionHandler):
def handle(exception):
traceback.print_exc()
def build_redo_menu():
btn_redo = InlineKeyboardButton("Redo", callback_data=json.dumps({'method': 'redo'}))
inline_keyboard = InlineKeyboardMarkup()
inline_keyboard.add(btn_redo)
return inline_keyboard
def prepare_metainfo_caption(tguser, worker: str, reward: str, meta: dict) -> str:
prompt = meta["prompt"]
if len(prompt) > 256:
prompt = prompt[:256]
meta_str = f'<u>by {tg_user_pretty(tguser)}</u>\n'
meta_str += f'<i>performed by {worker}</i>\n'
meta_str += f'<b><u>reward: {reward}</u></b>\n'
meta_str += f'<code>prompt:</code> {prompt}\n'
meta_str += f'<code>seed: {meta["seed"]}</code>\n'
meta_str += f'<code>step: {meta["step"]}</code>\n'
meta_str += f'<code>guidance: {meta["guidance"]}</code>\n'
if meta['strength']:
meta_str += f'<code>strength: {meta["strength"]}</code>\n'
meta_str += f'<code>algo: {meta["model"]}</code>\n'
if meta['upscaler']:
meta_str += f'<code>upscaler: {meta["upscaler"]}</code>\n'
meta_str += f'<b><u>Made with Skynet v{VERSION}</u></b>\n'
meta_str += f'<b>JOIN THE SWARM: @skynetgpu</b>'
return meta_str
def generate_reply_caption(
tguser, # telegram user
params: dict,
tx_hash: str,
worker: str,
reward: str,
explorer_domain: str
):
explorer_link = hlink(
'SKYNET Transaction Explorer',
f'https://explorer.{explorer_domain}/v2/explore/transaction/{tx_hash}'
)
meta_info = prepare_metainfo_caption(tguser, worker, reward, params)
final_msg = '\n'.join([
'Worker finished your task!',
explorer_link,
f'PARAMETER INFO:\n{meta_info}'
])
final_msg = '\n'.join([
f'<b><i>{explorer_link}</i></b>',
f'{meta_info}'
])
logging.info(final_msg)
return final_msg
async def get_global_config(cleos):
return (await cleos.aget_table(
'telos.gpu', 'telos.gpu', 'config'))[0]
async def get_user_nonce(cleos, user: str):
return (await cleos.aget_table(
'telos.gpu', 'telos.gpu', 'users',
index_position=1,
key_type='name',
lower_bound=user,
upper_bound=user
))[0]['nonce']

76
skynet/ipfs/__init__.py
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@ -1,76 +0,0 @@
#!/usr/bin/python
import logging
from pathlib import Path
import asks
class IPFSClientException(BaseException):
...
class AsyncIPFSHTTP:
def __init__(self, endpoint: str):
self.endpoint = endpoint
async def _post(self, sub_url: str, *args, **kwargs):
resp = await asks.post(
self.endpoint + sub_url,
*args, **kwargs
)
if resp.status_code != 200:
raise IPFSClientException(resp.text)
return resp.json()
async def add(self, file_path: Path, **kwargs):
files = {
'file': file_path
}
return await self._post(
'/api/v0/add',
files=files,
params=kwargs
)
async def pin(self, cid: str):
return (await self._post(
'/api/v0/pin/add',
params={'arg': cid}
))['Pins']
async def connect(self, multi_addr: str):
return await self._post(
'/api/v0/swarm/connect',
params={'arg': multi_addr}
)
async def peers(self, **kwargs):
return (await self._post(
'/api/v0/swarm/peers',
params=kwargs
))['Peers']
async def get_ipfs_file(ipfs_link: str, timeout: int = 60):
logging.info(f'attempting to get image at {ipfs_link}')
resp = None
for i in range(timeout):
try:
resp = await asks.get(ipfs_link, timeout=3)
except asks.errors.RequestTimeout:
logging.warning('timeout...')
except asks.errors.BadHttpResponse as e:
logging.error(f'ifps gateway exception: \n{e}')
if resp:
logging.info(f'status_code: {resp.status_code}')
else:
logging.error(f'timeout')
return resp

69
skynet/ipfs/docker.py
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@ -1,69 +0,0 @@
#!/usr/bin/python
import sys
import logging
from pathlib import Path
from contextlib import contextmanager as cm
import docker
from docker.types import Mount
@cm
def open_ipfs_node(
name: str = 'skynet-ipfs',
teardown: bool = False,
peers: list[str] = []
):
dclient = docker.from_env()
container = None
try:
container = dclient.containers.get(name)
except docker.errors.NotFound:
data_dir = Path().resolve() / 'ipfs-docker-data'
data_dir.mkdir(parents=True, exist_ok=True)
data_target = '/data/ipfs'
container = dclient.containers.run(
'ipfs/go-ipfs:latest',
name='skynet-ipfs',
ports={
'8080/tcp': 8080,
'4001/tcp': 4001,
'5001/tcp': ('127.0.0.1', 5001)
},
mounts=[
Mount(data_target, str(data_dir), 'bind')
],
detach=True,
remove=True
)
uid, gid = 1000, 1000
if sys.platform != 'win32':
ec, out = container.exec_run(['chown', f'{uid}:{gid}', '-R', data_target])
logging.info(out)
assert ec == 0
for log in container.logs(stream=True):
log = log.decode().rstrip()
logging.info(log)
if 'Daemon is ready' in log:
break
for peer in peers:
ec, out = container.exec_run(
['ipfs', 'swarm', 'connect', peer])
if ec != 0:
logging.error(out)
yield
if teardown and container:
container.stop()

128
skynet/ipfs/pinner.py
View File

@ -1,128 +0,0 @@
#!/usr/bin/python
import logging
import traceback
from datetime import datetime, timedelta
import trio
from leap.hyperion import HyperionAPI
from . import AsyncIPFSHTTP
MAX_TIME = timedelta(seconds=20)
class SkynetPinner:
def __init__(
self,
hyperion: HyperionAPI,
ipfs_http: AsyncIPFSHTTP
):
self.hyperion = hyperion
self.ipfs_http = ipfs_http
self._pinned = {}
self._now = datetime.now()
def is_pinned(self, cid: str):
pin_time = self._pinned.get(cid)
return pin_time
def pin_cids(self, cids: list[str]):
for cid in cids:
self._pinned[cid] = self._now
def cleanup_old_cids(self):
cids = list(self._pinned.keys())
for cid in cids:
if (self._now - self._pinned[cid]) > MAX_TIME * 2:
del self._pinned[cid]
async def capture_enqueues(self, after: datetime):
enqueues = await self.hyperion.aget_actions(
account='telos.gpu',
filter='telos.gpu:enqueue',
sort='desc',
after=after.isoformat(),
limit=1000
)
logging.info(f'got {len(enqueues["actions"])} enqueue actions.')
cids = []
for action in enqueues['actions']:
cid = action['act']['data']['binary_data']
if cid and not self.is_pinned(cid):
cids.append(cid)
return cids
async def capture_submits(self, after: datetime):
submits = await self.hyperion.aget_actions(
account='telos.gpu',
filter='telos.gpu:submit',
sort='desc',
after=after.isoformat(),
limit=1000
)
logging.info(f'got {len(submits["actions"])} submits actions.')
cids = []
for action in submits['actions']:
cid = action['act']['data']['ipfs_hash']
if cid and not self.is_pinned(cid):
cids.append(cid)
return cids
async def task_pin(self, cid: str):
logging.info(f'pinning {cid}...')
for _ in range(6):
try:
with trio.move_on_after(5):
pins = await self.ipfs_http.pin(cid)
if cid not in pins:
logging.error(f'error pinning {cid}')
del self._pinned[cid]
else:
logging.info(f'pinned {cid}')
return
except trio.TooSlowError:
logging.error(f'timed out pinning {cid}')
logging.error(f'gave up pinning {cid}')
async def pin_forever(self):
async with trio.open_nursery() as n:
while True:
try:
self._now = datetime.now()
self.cleanup_old_cids()
prev_second = self._now - MAX_TIME
cids = [
*(await self.capture_enqueues(prev_second)),
*(await self.capture_submits(prev_second))
]
self.pin_cids(cids)
for cid in cids:
n.start_soon(self.task_pin, cid)
except OSError as e:
traceback.print_exc()
except KeyboardInterrupt:
break
await trio.sleep(1)

145
skynet/nodeos.py
View File

@ -1,145 +0,0 @@
#!/usr/bin/env python3
import json
import time
import logging
from contextlib import contextmanager as cm
import docker
from leap.cleos import CLEOS
from leap.sugar import get_container, Symbol
@cm
def open_nodeos(cleanup: bool = True):
dclient = docker.from_env()
vtestnet = get_container(
dclient,
'guilledk/skynet:leap-4.0.1',
name='skynet-nodeos',
force_unique=True,
detach=True,
network='host')
try:
cleos = CLEOS(
dclient, vtestnet,
url='http://127.0.0.1:42000',
remote='http://127.0.0.1:42000'
)
cleos.start_keosd()
priv, pub = cleos.create_key_pair()
logging.info(f'SUDO KEYS: {(priv, pub)}')
cleos.setup_wallet(priv)
genesis = json.dumps({
"initial_timestamp": '2017-08-29T02:14:00.000',
"initial_key": pub,
"initial_configuration": {
"max_block_net_usage": 1048576,
"target_block_net_usage_pct": 1000,
"max_transaction_net_usage": 1048575,
"base_per_transaction_net_usage": 12,
"net_usage_leeway": 500,
"context_free_discount_net_usage_num": 20,
"context_free_discount_net_usage_den": 100,
"max_block_cpu_usage": 200000,
"target_block_cpu_usage_pct": 1000,
"max_transaction_cpu_usage": 150000,
"min_transaction_cpu_usage": 100,
"max_transaction_lifetime": 3600,
"deferred_trx_expiration_window": 600,
"max_transaction_delay": 3888000,
"max_inline_action_size": 4096,
"max_inline_action_depth": 4,
"max_authority_depth": 6
}
}, indent=4)
ec, out = cleos.run(
['bash', '-c', f'echo \'{genesis}\' > /root/skynet.json'])
assert ec == 0
place_holder = 'EOS5fLreY5Zq5owBhmNJTgQaLqQ4ufzXSTpStQakEyfxNFuUEgNs1=KEY:5JnvSc6pewpHHuUHwvbJopsew6AKwiGnexwDRc2Pj2tbdw6iML9'
sig_provider = f'{pub}=KEY:{priv}'
nodeos_config_ini = '/root/nodeos/config.ini'
ec, out = cleos.run(
['bash', '-c', f'sed -i -e \'s/{place_holder}/{sig_provider}/g\' {nodeos_config_ini}'])
assert ec == 0
cleos.start_nodeos_from_config(
nodeos_config_ini,
data_dir='/root/nodeos/data',
genesis='/root/skynet.json',
state_plugin=True)
time.sleep(0.5)
cleos.wait_blocks(1)
cleos.boot_sequence(token_sym=Symbol('GPU', 4))
priv, pub = cleos.create_key_pair()
cleos.import_key(priv)
cleos.private_keys['telos.gpu'] = priv
logging.info(f'GPU KEYS: {(priv, pub)}')
cleos.new_account('telos.gpu', ram=4200000, key=pub)
for i in range(1, 4):
priv, pub = cleos.create_key_pair()
cleos.import_key(priv)
cleos.private_keys[f'testworker{i}'] = priv
logging.info(f'testworker{i} KEYS: {(priv, pub)}')
cleos.create_account_staked(
'eosio', f'testworker{i}', key=pub)
priv, pub = cleos.create_key_pair()
cleos.import_key(priv)
logging.info(f'TELEGRAM KEYS: {(priv, pub)}')
cleos.create_account_staked(
'eosio', 'telegram', ram=500000, key=pub)
cleos.transfer_token(
'eosio', 'telegram', '1000000.0000 GPU', 'Initial testing funds')
cleos.deploy_contract_from_host(
'telos.gpu',
'tests/contracts/telos.gpu',
verify_hash=False,
create_account=False
)
ec, out = cleos.push_action(
'telos.gpu',
'config',
['eosio.token', '4,GPU'],
f'telos.gpu@active'
)
assert ec == 0
ec, out = cleos.transfer_token(
'telegram', 'telos.gpu', '1000000.0000 GPU', 'Initial testing funds')
assert ec == 0
user_row = cleos.get_table(
'telos.gpu',
'telos.gpu',
'users',
index_position=1,
key_type='name',
lower_bound='telegram',
upper_bound='telegram'
)
assert len(user_row) == 1
yield cleos
finally:
# ec, out = cleos.list_all_keys()
# logging.info(out)
if cleanup:
vtestnet.stop()
vtestnet.remove()

238
skynet/utils.py
View File

@ -1,238 +0,0 @@
#!/usr/bin/python
import io
import os
import sys
import time
import random
import logging
from typing import Optional
from pathlib import Path
import asks
import torch
import numpy as np
from PIL import Image
from basicsr.archs.rrdbnet_arch import RRDBNet
from diffusers import (
DiffusionPipeline,
EulerAncestralDiscreteScheduler
)
from realesrgan import RealESRGANer
from huggingface_hub import login
import trio
from .constants import MODELS
def time_ms():
return int(time.time() * 1000)
def convert_from_cv2_to_image(img: np.ndarray) -> Image:
# return Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
return Image.fromarray(img)
def convert_from_image_to_cv2(img: Image) -> np.ndarray:
# return cv2.cvtColor(numpy.array(img), cv2.COLOR_RGB2BGR)
return np.asarray(img)
def convert_from_bytes_to_img(raw: bytes) -> Image:
return Image.open(io.BytesIO(raw))
def convert_from_img_to_bytes(image: Image, fmt='PNG') -> bytes:
byte_arr = io.BytesIO()
image.save(byte_arr, format=fmt)
return byte_arr.getvalue()
def crop_image(image: Image, max_w: int, max_h: int) -> Image:
w, h = image.size
if w > max_w or h > max_h:
image.thumbnail((max_w, max_h))
return image.convert('RGB')
def pipeline_for(
model: str,
mem_fraction: float = 1.0,
image: bool = False,
cache_dir: str | None = None
) -> DiffusionPipeline:
assert torch.cuda.is_available()
torch.cuda.empty_cache()
torch.backends.cuda.matmul.allow_tf32 = True
torch.backends.cudnn.allow_tf32 = True
# full determinism
# https://huggingface.co/docs/diffusers/using-diffusers/reproducibility#deterministic-algorithms
os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":16:8"
torch.backends.cudnn.benchmark = False
torch.use_deterministic_algorithms(True)
model_info = MODELS[model]
req_mem = model_info['mem']
mem_gb = torch.cuda.mem_get_info()[1] / (10**9)
mem_gb *= mem_fraction
over_mem = mem_gb < req_mem
if over_mem:
logging.warn(f'model requires {req_mem} but card has {mem_gb}, model will run slower..')
shortname = model_info['short']
params = {
'safety_checker': None,
'torch_dtype': torch.float16,
'cache_dir': cache_dir,
'variant': 'fp16'
}
match shortname:
case 'stable':
params['revision'] = 'fp16'
torch.cuda.set_per_process_memory_fraction(mem_fraction)
pipe = DiffusionPipeline.from_pretrained(
model, **params)
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(
pipe.scheduler.config)
pipe.enable_xformers_memory_efficient_attention()
if over_mem:
if not image:
pipe.enable_vae_slicing()
pipe.enable_vae_tiling()
pipe.enable_model_cpu_offload()
else:
if sys.version_info[1] < 11:
# torch.compile only supported on python < 3.11
pipe.unet = torch.compile(
pipe.unet, mode='reduce-overhead', fullgraph=True)
pipe = pipe.to('cuda')
return pipe
def txt2img(
hf_token: str,
model: str = 'prompthero/openjourney',
prompt: str = 'a red old tractor in a sunny wheat field',
output: str = 'output.png',
width: int = 512, height: int = 512,
guidance: float = 10,
steps: int = 28,
seed: Optional[int] = None
):
login(token=hf_token)
pipe = pipeline_for(model)
seed = seed if seed else random.randint(0, 2 ** 64)
prompt = prompt
image = pipe(
prompt,
width=width,
height=height,
guidance_scale=guidance, num_inference_steps=steps,
generator=torch.Generator("cuda").manual_seed(seed)
).images[0]
image.save(output)
def img2img(
hf_token: str,
model: str = 'prompthero/openjourney',
prompt: str = 'a red old tractor in a sunny wheat field',
img_path: str = 'input.png',
output: str = 'output.png',
strength: float = 1.0,
guidance: float = 10,
steps: int = 28,
seed: Optional[int] = None
):
login(token=hf_token)
pipe = pipeline_for(model, image=True)
with open(img_path, 'rb') as img_file:
input_img = convert_from_bytes_and_crop(img_file.read(), 512, 512)
seed = seed if seed else random.randint(0, 2 ** 64)
prompt = prompt
image = pipe(
prompt,
image=input_img,
strength=strength,
guidance_scale=guidance, num_inference_steps=steps,
generator=torch.Generator("cuda").manual_seed(seed)
).images[0]
image.save(output)
def init_upscaler(model_path: str = 'weights/RealESRGAN_x4plus.pth'):
return RealESRGANer(
scale=4,
model_path=model_path,
dni_weight=None,
model=RRDBNet(
num_in_ch=3,
num_out_ch=3,
num_feat=64,
num_block=23,
num_grow_ch=32,
scale=4
),
half=True
)
def upscale(
img_path: str = 'input.png',
output: str = 'output.png',
model_path: str = 'weights/RealESRGAN_x4plus.pth'
):
input_img = Image.open(img_path).convert('RGB')
upscaler = init_upscaler(model_path=model_path)
up_img, _ = upscaler.enhance(
convert_from_image_to_cv2(input_img), outscale=4)
image = convert_from_cv2_to_image(up_img)
image.save(output)
async def download_upscaler():
print('downloading upscaler...')
weights_path = Path('weights')
weights_path.mkdir(exist_ok=True)
upscaler_url = 'https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth'
save_path = weights_path / 'RealESRGAN_x4plus.pth'
response = await asks.get(upscaler_url)
with open(save_path, 'wb') as f:
f.write(response.content)
print('done')
def download_all_models(hf_token: str, hf_home: str):
assert torch.cuda.is_available()
trio.run(download_upscaler)
login(token=hf_token)
for model in MODELS:
print(f'DOWNLOADING {model.upper()}')
pipeline_for(model, cache_dir=hf_home)

24
tests/conftest.py
View File

@ -1,24 +0,0 @@
#!/usr/bin/python
import pytest
from skynet.db import open_new_database
from skynet.ipfs import AsyncIPFSHTTP
from skynet.ipfs.docker import open_ipfs_node
from skynet.nodeos import open_nodeos
@pytest.fixture(scope='session')
def ipfs_client():
with open_ipfs_node(teardown=True):
yield AsyncIPFSHTTP('http://127.0.0.1:5001')
@pytest.fixture(scope='session')
def postgres_db():
with open_new_database() as db_params:
yield db_params
@pytest.fixture(scope='session')
def cleos():
with open_nodeos() as cli:
yield cli

416
tests/contracts/telos.gpu/telos.gpu.abi
View File

@ -1,416 +0,0 @@
{
"____comment": "This file was generated with eosio-abigen. DO NOT EDIT ",
"version": "eosio::abi/1.2",
"types": [],
"structs": [
{
"name": "account",
"base": "",
"fields": [
{
"name": "user",
"type": "name"
},
{
"name": "balance",
"type": "asset"
},
{
"name": "nonce",
"type": "uint64"
}
]
},
{
"name": "card",
"base": "",
"fields": [
{
"name": "id",
"type": "uint64"
},
{
"name": "owner",
"type": "name"
},
{
"name": "card_name",
"type": "string"
},
{
"name": "version",
"type": "string"
},
{
"name": "total_memory",
"type": "uint64"
},
{
"name": "mp_count",
"type": "uint32"
},
{
"name": "extra",
"type": "string"
}
]
},
{
"name": "clean",
"base": "",
"fields": []
},
{
"name": "config",
"base": "",
"fields": [
{
"name": "token_contract",
"type": "name"
},
{
"name": "token_symbol",
"type": "symbol"
}
]
},
{
"name": "dequeue",
"base": "",
"fields": [
{
"name": "user",
"type": "name"
},
{
"name": "request_id",
"type": "uint64"
}
]
},
{
"name": "enqueue",
"base": "",
"fields": [
{
"name": "user",
"type": "name"
},
{
"name": "request_body",
"type": "string"
},
{
"name": "binary_data",
"type": "string"
},
{
"name": "reward",
"type": "asset"
},
{
"name": "min_verification",
"type": "uint32"
}
]
},
{
"name": "global_configuration_struct",
"base": "",
"fields": [
{
"name": "token_contract",
"type": "name"
},
{
"name": "token_symbol",
"type": "symbol"
}
]
},
{
"name": "submit",
"base": "",
"fields": [
{
"name": "worker",
"type": "name"
},
{
"name": "request_id",
"type": "uint64"
},
{
"name": "request_hash",
"type": "checksum256"
},
{
"name": "result_hash",
"type": "checksum256"
},
{
"name": "ipfs_hash",
"type": "string"
}
]
},
{
"name": "withdraw",
"base": "",
"fields": [
{
"name": "user",
"type": "name"
},
{
"name": "quantity",
"type": "asset"
}
]
},
{
"name": "work_request_struct",
"base": "",
"fields": [
{
"name": "id",
"type": "uint64"
},
{
"name": "user",
"type": "name"
},
{
"name": "reward",
"type": "asset"
},
{
"name": "min_verification",
"type": "uint32"
},
{
"name": "nonce",
"type": "uint64"
},
{
"name": "body",
"type": "string"
},
{
"name": "binary_data",
"type": "string"
},
{
"name": "timestamp",
"type": "time_point_sec"
}
]
},
{
"name": "work_result_struct",
"base": "",
"fields": [
{
"name": "id",
"type": "uint64"
},
{
"name": "request_id",
"type": "uint64"
},
{
"name": "user",
"type": "name"
},
{
"name": "worker",
"type": "name"
},
{
"name": "result_hash",
"type": "checksum256"
},
{
"name": "ipfs_hash",
"type": "string"
},
{
"name": "submited",
"type": "time_point_sec"
}
]
},
{
"name": "workbegin",
"base": "",
"fields": [
{
"name": "worker",
"type": "name"
},
{
"name": "request_id",
"type": "uint64"
},
{
"name": "max_workers",
"type": "uint32"
}
]
},
{
"name": "workcancel",
"base": "",
"fields": [
{
"name": "worker",
"type": "name"
},
{
"name": "request_id",
"type": "uint64"
},
{
"name": "reason",
"type": "string"
}
]
},
{
"name": "worker",
"base": "",
"fields": [
{
"name": "account",
"type": "name"
},
{
"name": "joined",
"type": "time_point_sec"
},
{
"name": "left",
"type": "time_point_sec"
},
{
"name": "url",
"type": "string"
}
]
},
{
"name": "worker_status_struct",
"base": "",
"fields": [
{
"name": "worker",
"type": "name"
},
{
"name": "status",
"type": "string"
},
{
"name": "started",
"type": "time_point_sec"
}
]
}
],
"actions": [
{
"name": "clean",
"type": "clean",
"ricardian_contract": ""
},
{
"name": "config",
"type": "config",
"ricardian_contract": ""
},
{
"name": "dequeue",
"type": "dequeue",
"ricardian_contract": ""
},
{
"name": "enqueue",
"type": "enqueue",
"ricardian_contract": ""
},
{
"name": "submit",
"type": "submit",
"ricardian_contract": ""
},
{
"name": "withdraw",
"type": "withdraw",
"ricardian_contract": ""
},
{
"name": "workbegin",
"type": "workbegin",
"ricardian_contract": ""
},
{
"name": "workcancel",
"type": "workcancel",
"ricardian_contract": ""
}
],
"tables": [
{
"name": "cards",
"type": "card",
"index_type": "i64",
"key_names": [],
"key_types": []
},
{
"name": "config",
"type": "global_configuration_struct",
"index_type": "i64",
"key_names": [],
"key_types": []
},
{
"name": "queue",
"type": "work_request_struct",
"index_type": "i64",
"key_names": [],
"key_types": []
},
{
"name": "results",
"type": "work_result_struct",
"index_type": "i64",
"key_names": [],
"key_types": []
},
{
"name": "status",
"type": "worker_status_struct",
"index_type": "i64",
"key_names": [],
"key_types": []
},
{
"name": "users",
"type": "account",
"index_type": "i64",
"key_names": [],
"key_types": []
},
{
"name": "workers",
"type": "worker",
"index_type": "i64",
"key_names": [],
"key_types": []
}
],
"ricardian_clauses": [],
"variants": [],
"action_results": []
}

BIN
tests/contracts/telos.gpu/telos.gpu.wasm
View File

Binary file not shown.

106
tests/test_deploy.py
View File

@ -1,106 +0,0 @@
#!/usr/bin/env python3
import time
import json
from hashlib import sha256
from functools import partial
import trio
import requests
from skynet.constants import DEFAULT_IPFS_REMOTE
from skynet.dgpu import open_dgpu_node
from leap.sugar import collect_stdout
def test_enqueue_work(cleos):
user = 'telegram'
req = json.dumps({
'method': 'diffuse',
'params': {
'algo': 'midj',
'prompt': 'skynet terminator dystopic',
'width': 512,
'height': 512,
'guidance': 10,
'step': 28,
'seed': 420,
'upscaler': 'x4'
}
})
binary = ''
ec, out = cleos.push_action(
'telos.gpu', 'enqueue', [user, req, binary, '20.0000 GPU', 1], f'{user}@active'
)
assert ec == 0
queue = cleos.get_table('telos.gpu', 'telos.gpu', 'queue')
assert len(queue) == 1
req_on_chain = queue[0]
assert req_on_chain['user'] == user
assert req_on_chain['body'] == req
assert req_on_chain['binary_data'] == binary
trio.run(
partial(
open_dgpu_node,
f'testworker1',
'active',
cleos,
DEFAULT_IPFS_REMOTE,
cleos.private_keys['testworker1'],
initial_algos=['midj']
)
)
queue = cleos.get_table('telos.gpu', 'telos.gpu', 'queue')
assert len(queue) == 0
def test_enqueue_dequeue(cleos):
user = 'telegram'
req = json.dumps({
'method': 'diffuse',
'params': {
'algo': 'midj',
'prompt': 'skynet terminator dystopic',
'width': 512,
'height': 512,
'guidance': 10,
'step': 28,
'seed': 420,
'upscaler': 'x4'
}
})
binary = ''
ec, out = cleos.push_action(
'telos.gpu', 'enqueue', [user, req, binary, '20.0000 GPU', 1], f'{user}@active'
)
assert ec == 0
request_id, _ = collect_stdout(out).split(':')
request_id = int(request_id)
queue = cleos.get_table('telos.gpu', 'telos.gpu', 'queue')
assert len(queue) == 1
ec, out = cleos.push_action(
'telos.gpu', 'dequeue', [user, request_id], f'{user}@active'
)
assert ec == 0
queue = cleos.get_table('telos.gpu', 'telos.gpu', 'queue')
assert len(queue) == 0

26
tests/test_ipfs_client.py
View File

@ -1,26 +0,0 @@
#!/usr/bin/python
from pathlib import Path
async def test_connection(ipfs_client):
await ipfs_client.connect(
'/ip4/169.197.140.154/tcp/4001/p2p/12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv')
peers = await ipfs_client.peers()
assert '12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv' in [p['Peer'] for p in peers]
async def test_add_and_pin_file(ipfs_client):
test_file = Path('hello_world.txt')
with open(test_file, 'w+') as file:
file.write('Hello Skynet!')
file_info = await ipfs_client.add(test_file)
file_cid = file_info['Hash']
pin_resp = await ipfs_client.pin(file_cid)
assert file_cid in pin_resp
test_file.unlink()