Merge pull request #26 from guilledk/worker_upgrade_reloaded

Worker upgrade reloaded

.dockerignore

@@ -7,3 +7,4 @@ outputs
 *.egg-info
 **/*.key
 **/*.cert
+.venv

.gitignore

@@ -1,4 +1,4 @@
-skynet.ini
+skynet.toml
 .python-version
 hf_home
 outputs
@@ -9,5 +9,5 @@ secrets
 **/*.cert
 docs
 ipfs-docker-data
-ipfs-docker-staging
+ipfs-staging
 weights

README.md

@@ -1,30 +1,104 @@
 # skynet
-### decentralized compute platform
+<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)
 
-To launch a worker:
 ```
 # create and edit config from template
-cp skynet.ini.example skynet.ini
+cp skynet.toml.example skynet.toml
 
-# create python virtual envoirment 3.10+
+# install poetry package manager
-python3 -m venv venv
+curl -sSL https://install.python-poetry.org | python3 -
 
-# enable envoirment
+# install
-source venv/bin/activate
+poetry install
 
-# install requirements
+# enable environment
-pip install -r requirements.txt
+poetry shell
-pip install -r requirements.cuda.0.txt
-pip install -r requirements.cuda.1.txt
-pip install -r requirements.cuda.2.txt
-
-# install skynet
-pip install -e .
 
 # 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
+```

build_docker.sh

@@ -1,7 +0,0 @@
-docker build \
-    -t skynet:runtime-cuda \
-    -f docker/Dockerfile.runtime+cuda .
-
-docker build \
-    -t skynet:runtime \
-    -f docker/Dockerfile.runtime .

docker/Dockerfile.runtime

@@ -2,15 +2,24 @@ 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
 
-copy requirements.txt requirements.txt
+env POETRY_VIRTUALENVS_PATH /skynet/.venv
-copy pytest.ini ./
-copy setup.py ./
-copy skynet ./skynet
 
-run pip install \
+run poetry install
-    -e . \
-    -r requirements.txt
 
-copy tests ./
+workdir /root/target
+
+copy docker/entrypoint.sh /entrypoint.sh
+entrypoint ["/entrypoint.sh"]
+
+cmd ["skynet", "--help"]

docker/Dockerfile.runtime+cuda

@@ -1,29 +0,0 @@
-from nvidia/cuda:11.7.0-devel-ubuntu20.04
-from python:3.11
-
-env DEBIAN_FRONTEND=noninteractive
-
-run apt-get update && \
-    apt-get install -y ffmpeg libsm6 libxext6
-
-workdir /skynet
-
-copy requirements.cuda* ./
-
-run pip install -U pip ninja
-run pip install -v -r requirements.cuda.0.txt
-run pip install -v -r requirements.cuda.1.txt
-run pip install -v -r requirements.cuda.2.txt
-
-copy requirements.txt requirements.txt
-copy pytest.ini pytest.ini
-copy setup.py setup.py
-copy skynet skynet
-
-run pip install -e . -r requirements.txt
-
-env PYTORCH_CUDA_ALLOC_CONF max_split_size_mb:128
-env NVIDIA_VISIBLE_DEVICES=all
-env HF_HOME /hf_home
-
-copy tests tests

docker/Dockerfile.runtime+cuda-py310

@@ -0,0 +1,46 @@
+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"]

docker/Dockerfile.runtime+cuda-py311

@@ -0,0 +1,46 @@
+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"]

docker/Dockerfile.runtime+frontend

@@ -0,0 +1,25 @@
+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"]

docker/build_docker.sh

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

docker/entrypoint.sh

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

docker/push_docker.sh

@@ -0,0 +1,5 @@
+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

launch_ipfs.sh

@@ -0,0 +1,36 @@
+#!/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

poetry.toml

@@ -0,0 +1,2 @@
+[virtualenvs]
+in-project = true

pyproject.toml

@@ -0,0 +1,67 @@
+[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'

requirements.cuda.0.txt

@@ -1,9 +0,0 @@
-scipy
-triton
-accelerate
-transformers
-huggingface_hub
-diffusers[torch]>=0.18.0
-invisible-watermark
-torch==1.13.0+cu117
---extra-index-url https://download.pytorch.org/whl/cu117

requirements.cuda.1.txt

@@ -1 +0,0 @@
-git+https://github.com/facebookresearch/xformers.git@main#egg=xformers

requirements.cuda.2.txt

@@ -1,2 +0,0 @@
-basicsr
-realesrgan

requirements.txt

@@ -1,15 +0,0 @@
-pytz
-trio
-asks
-numpy
-pdbpp
-Pillow
-triopg
-pytest
-docker
-aiohttp
-psycopg2-binary
-pyTelegramBotAPI
-discord.py
-
-py-leap@git+https://github.com/guilledk/py-leap.git@v0.1a14

setup.py

@@ -1,21 +0,0 @@
-from setuptools import setup, find_packages
-
-from skynet.constants import VERSION
-
-setup(
-    name='skynet',
-    version=VERSION,
-    description='Decentralized compute platform',
-    author='Guillermo Rodriguez',
-    author_email='guillermo@telos.net',
-    packages=find_packages(),
-    entry_points={
-        'console_scripts': [
-            'skynet = skynet.cli:skynet',
-            'txt2img = skynet.cli:txt2img',
-            'img2img = skynet.cli:img2img',
-            'upscale = skynet.cli:upscale'
-        ]
-    },
-    install_requires=['click']
-)

skynet.ini.example

@@ -1,38 +0,0 @@
-[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
-
-[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.toml.example

@@ -0,0 +1,47 @@
+# 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'
+

skynet/cli.py

@@ -6,25 +6,12 @@ import random
 
 from functools import partial
 
-import trio
-import asks
 import click
-import asyncio
-import requests
 
-from leap.cleos import CLEOS
+from leap.sugar import Name, asset_from_str
-from leap.sugar import collect_stdout, Name, asset_from_str
-from leap.hyperion import HyperionAPI
 
-from skynet.ipfs import AsyncIPFSHTTP
-
-
-from .db import open_new_database
 from .config import *
-from .nodeos import open_cleos, open_nodeos
 from .constants import *
-from .frontend.telegram import SkynetTelegramFrontend
-from .frontend.discord import SkynetDiscordFrontend
 
 
 @click.group()
@@ -44,7 +31,11 @@ def skynet(*args, **kwargs):
 @click.option('--seed', '-S', default=None)
 def txt2img(*args, **kwargs):
     from . import utils
-    _, hf_token, _, _ = init_env_from_config()
+
+    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()
@@ -59,7 +50,10 @@ def txt2img(*args, **kwargs):
 @click.option('--seed', '-S', default=None)
 def img2img(model, prompt, input, output, strength, guidance, steps, seed):
     from . import utils
-    _, hf_token, _, _ = init_env_from_config()
+    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,
@@ -87,47 +81,55 @@ def upscale(input, output, model):
 @skynet.command()
 def download():
     from . import utils
-    _, hf_token, _, _ = init_env_from_config()
+    config = load_skynet_toml()
-    utils.download_all_models(hf_token)
+    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(
-    '--account', '-A', default=None)
-@click.option(
-    '--permission', '-P', default=None)
-@click.option(
-    '--key', '-k', default=None)
-@click.option(
-    '--node-url', '-n', default='https://skynet.ancap.tech')
 @click.option(
     '--reward', '-r', default='20.0000 GPU')
 @click.option('--jobs', '-j', default=1)
-@click.option('--model', '-m', default='prompthero/openjourney')
+@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=512)
+@click.option('--width', '-w', default=1024)
-@click.option('--height', '-h', default=512)
+@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(
-    account: str,
-    permission: str,
-    key: str | None,
-    node_url: str,
     reward: str,
     jobs: int,
     **kwargs
 ):
-    key, account, permission = load_account_info(
+    import trio
-        'user', key, account, permission)
+    from leap.cleos import CLEOS
 
-    node_url, _, _, _ = load_endpoint_info('user', node_url=node_url)
+    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'])
 
-    with open_cleos(node_url, key=key) as cleos:
     async def enqueue_n_jobs():
         for i in range(jobs):
             if not kwargs['seed']:
@@ -137,7 +139,6 @@ def enqueue(
                 'method': 'diffuse',
                 'params': kwargs
             })
-                binary = kwargs['binary_data']
 
             res = await cleos.a_push_action(
                 'telos.gpu',
@@ -152,30 +153,23 @@ def enqueue(
                 account, key, permission,
             )
             print(res)
+
     trio.run(enqueue_n_jobs)
 
 
 @skynet.command()
 @click.option('--loglevel', '-l', default='INFO', help='Logging level')
-@click.option(
-    '--account', '-A', default='telos.gpu')
-@click.option(
-    '--permission', '-P', default='active')
-@click.option(
-    '--key', '-k', default=None)
-@click.option(
-    '--node-url', '-n', default='https://skynet.ancap.tech')
 def clean(
     loglevel: str,
-    account: str,
-    permission: str,
-    key: str | None,
-    node_url: str,
 ):
-    key, account, permission = load_account_info(
+    import trio
-        'user', key, account, permission)
+    from leap.cleos import CLEOS
 
-    node_url, _, _, _ = load_endpoint_info('user', node_url=node_url)
+    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)
@@ -190,10 +184,10 @@ def clean(
     )
 
 @skynet.command()
-@click.option(
+def queue():
-    '--node-url', '-n', default='https://skynet.ancap.tech')
+    import requests
-def queue(node_url: str):
+    config = load_skynet_toml()
-    node_url, _, _, _ = load_endpoint_info('user', node_url=node_url)
+    node_url = load_key(config, 'skynet.user.node_url')
     resp = requests.post(
         f'{node_url}/v1/chain/get_table_rows',
         json={
@@ -206,11 +200,11 @@ def queue(node_url: str):
     print(json.dumps(resp.json(), indent=4))
 
 @skynet.command()
-@click.option(
-    '--node-url', '-n', default='https://skynet.ancap.tech')
 @click.argument('request-id')
-def status(node_url: str, request_id: int):
+def status(request_id: int):
-    node_url, _, _, _ = load_endpoint_info('user', node_url=node_url)
+    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={
@@ -223,26 +217,16 @@ def status(node_url: str, request_id: int):
     print(json.dumps(resp.json(), indent=4))
 
 @skynet.command()
-@click.option(
-    '--account', '-a', default='telegram')
-@click.option(
-    '--permission', '-p', default='active')
-@click.option(
-    '--key', '-k', default=None)
-@click.option(
-    '--node-url', '-n', default='https://skynet.ancap.tech')
 @click.argument('request-id')
-def dequeue(
+def dequeue(request_id: int):
-    account: str,
+    import trio
-    permission: str,
+    from leap.cleos import CLEOS
-    key: str | None,
-    node_url: str,
-    request_id: int
-):
-    key, account, permission = load_account_info(
-        'user', key, account, permission)
 
-    node_url, _, _, _ = load_endpoint_info('user', node_url=node_url)
+    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(
@@ -261,29 +245,24 @@ def dequeue(
 
 
 @skynet.command()
-@click.option(
-    '--account', '-a', default='telos.gpu')
-@click.option(
-    '--permission', '-p', default='active')
-@click.option(
-    '--key', '-k', default=None)
-@click.option(
-    '--node-url', '-n', default='https://skynet.ancap.tech')
 @click.option(
     '--token-contract', '-c', default='eosio.token')
 @click.option(
     '--token-symbol', '-S', default='4,GPU')
 def config(
-    account: str,
-    permission: str,
-    key: str | None,
-    node_url: str,
     token_contract: str,
     token_symbol: str
 ):
-    key, account, permission = load_account_info(
+    import trio
-        'user', key, account, permission)
+    from leap.cleos import CLEOS
-    node_url, _, _, _ = load_endpoint_info('user', node_url=node_url)
+
+    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(
@@ -301,26 +280,18 @@ def config(
 
 
 @skynet.command()
-@click.option(
-    '--account', '-a', default='telegram')
-@click.option(
-    '--permission', '-p', default='active')
-@click.option(
-    '--key', '-k', default=None)
-@click.option(
-    '--node-url', '-n', default='https://skynet.ancap.tech')
 @click.argument('quantity')
-def deposit(
+def deposit(quantity: str):
-    account: str,
+    import trio
-    permission: str,
+    from leap.cleos import CLEOS
-    key: str | None,
-    node_url: str,
-    quantity: str
-):
-    key, account, permission = load_account_info(
-        'user', key, account, permission)
 
-    node_url, _, _, _ = load_endpoint_info('user', node_url=node_url)
+    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(
@@ -345,6 +316,8 @@ def run(*args, **kwargs):
 
 @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
@@ -352,6 +325,8 @@ def db():
 
 @run.command()
 def nodeos():
+    from .nodeos import open_nodeos
+
     logging.basicConfig(filename='skynet-nodeos.log', level=logging.INFO)
     with open_nodeos(cleanup=False):
         ...
@@ -359,38 +334,29 @@ def nodeos():
 @run.command()
 @click.option('--loglevel', '-l', default='INFO', help='Logging level')
 @click.option(
-    '--config-path', '-c', default='skynet.ini')
+    '--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_ini(file_path=config_path)
+    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.dgpu' in config
+    assert 'skynet' in config
+    assert 'dgpu' in config['skynet']
 
-    trio.run(open_dgpu_node, config['skynet.dgpu'])
+    trio.run(open_dgpu_node, config['skynet']['dgpu'])
 
 
 @run.command()
 @click.option('--loglevel', '-l', default='INFO', help='logging level')
-@click.option(
-    '--account', '-a', default='telegram')
-@click.option(
-    '--permission', '-p', default='active')
-@click.option(
-    '--key', '-k', default=None)
-@click.option(
-    '--hyperion-url', '-y', default=f'https://testnet.{DEFAULT_DOMAIN}')
-@click.option(
-    '--node-url', '-n', default=f'https://testnet.{DEFAULT_DOMAIN}')
-@click.option(
-    '--ipfs-url', '-i', default=DEFAULT_IPFS_LOCAL)
-@click.option(
-    '--ipfs-gateway-url', '-I', default=None)
 @click.option(
     '--db-host', '-h', default='localhost:5432')
 @click.option(
@@ -399,26 +365,43 @@ def dgpu(
     '--db-pass', '-u', default='password')
 def telegram(
     loglevel: str,
-    account: str,
-    permission: str,
-    key: str | None,
-    hyperion_url: str,
-    ipfs_url: str,
-    ipfs_gateway_url: str,
-    node_url: str,
     db_host: str,
     db_user: str,
     db_pass: str
 ):
+    import asyncio
+    from .frontend.telegram import SkynetTelegramFrontend
+
     logging.basicConfig(level=loglevel)
 
-    _, _, tg_token, _ = init_env_from_config()
+    config = load_skynet_toml()
+    tg_token = load_key(config, 'skynet.telegram.tg_token')
 
-    key, account, permission = load_account_info(
+    key = load_key(config, 'skynet.telegram.key')
-        'telegram', key, account, permission)
+    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')
 
-    node_url, _, ipfs_gateway_url, ipfs_url = load_endpoint_info(
+    try:
-        'telegram', node_url=node_url, ipfs_gateway_url=ipfs_gateway_url)
+        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(
@@ -430,7 +413,9 @@ def telegram(
             db_host, db_user, db_pass,
             ipfs_url,
             remote_ipfs_node=ipfs_gateway_url,
-            key=key
+            key=key,
+            explorer_domain=explorer_domain,
+            ipfs_domain=ipfs_domain
         )
 
         async with frontend.open():
@@ -442,20 +427,6 @@ def telegram(
 
 @run.command()
 @click.option('--loglevel', '-l', default='INFO', help='logging level')
-@click.option(
-    '--account', '-a', default='discord')
-@click.option(
-    '--permission', '-p', default='active')
-@click.option(
-    '--key', '-k', default=None)
-@click.option(
-    '--hyperion-url', '-y', default=f'https://testnet.{DEFAULT_DOMAIN}')
-@click.option(
-    '--node-url', '-n', default=f'https://testnet.{DEFAULT_DOMAIN}')
-@click.option(
-    '--ipfs-url', '-i', default=DEFAULT_IPFS_LOCAL)
-@click.option(
-    '--ipfs-gateway-url', '-I', default=DEFAULT_IPFS_REMOTE)
 @click.option(
     '--db-host', '-h', default='localhost:5432')
 @click.option(
@@ -464,26 +435,38 @@ def telegram(
     '--db-pass', '-u', default='password')
 def discord(
     loglevel: str,
-    account: str,
-    permission: str,
-    key: str | None,
-    hyperion_url: str,
-    ipfs_url: str,
-    ipfs_gateway_url: str,
-    node_url: str,
     db_host: str,
     db_user: str,
     db_pass: str
 ):
+    import asyncio
+    from .frontend.discord import SkynetDiscordFrontend
+
     logging.basicConfig(level=loglevel)
 
-    _, _, _, dc_token = init_env_from_config()
+    config = load_skynet_toml()
+    dc_token = load_key(config, 'skynet.discord.dc_token')
 
-    key, account, permission = load_account_info(
+    key = load_key(config, 'skynet.discord.key')
-        'discord', key, account, permission)
+    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')
 
-    node_url, _, ipfs_gateway_url, ipfs_url = load_endpoint_info(
+    ipfs_gateway_url = load_key(config, 'skynet.discord.ipfs_gateway_url')
-        'discord', node_url=node_url, ipfs_gateway_url=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(
@@ -495,7 +478,9 @@ def discord(
             db_host, db_user, db_pass,
             ipfs_url,
             remote_ipfs_node=ipfs_gateway_url,
-            key=key
+            key=key,
+            explorer_domain=explorer_domain,
+            ipfs_domain=ipfs_domain
         )
 
         async with frontend.open():
@@ -507,24 +492,28 @@ def discord(
 @run.command()
 @click.option('--loglevel', '-l', default='INFO', help='logging level')
 @click.option('--name', '-n', default='skynet-ipfs', help='container name')
-def ipfs(loglevel, 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):
+    with open_ipfs_node(name=name, peers=peer):
         ...
 
 @run.command()
 @click.option('--loglevel', '-l', default='INFO', help='logging level')
-@click.option(
+def pinner(loglevel):
-    '--ipfs-rpc', '-i', default='http://127.0.0.1:5001')
+    import trio
-@click.option(
+    from leap.hyperion import HyperionAPI
-    '--hyperion-url', '-y', default='http://127.0.0.1:42001')
+    from .ipfs import AsyncIPFSHTTP
-def pinner(loglevel, ipfs_rpc, hyperion_url):
     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_rpc)
+    ipfs_node = AsyncIPFSHTTP(ipfs_url)
     hyperion = HyperionAPI(hyperion_url)
 
     pinner = SkynetPinner(hyperion, ipfs_node)

skynet/config.py

@@ -1,117 +1,33 @@
 #!/usr/bin/python
 
 import os
-import json
+import toml
 
 from pathlib import Path
-from configparser import ConfigParser
-from re import sub
 
 from .constants import DEFAULT_CONFIG_PATH
 
 
-def load_skynet_ini(
+class ConfigParsingError(BaseException):
-    file_path=DEFAULT_CONFIG_PATH
+    ...
-):
+
-    config = ConfigParser()
+
-    config.read(file_path)
+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 init_env_from_config(
+def set_hf_vars(hf_token: str, hf_home: str):
-    hf_token: str | None = None,
-    hf_home: str | None = None,
-    tg_token: str | None = None,
-    dc_token: str | None = None,
-    file_path=DEFAULT_CONFIG_PATH
-):
-    config = load_skynet_ini(file_path=file_path)
-
-    if 'HF_TOKEN' in os.environ:
-        hf_token = os.environ['HF_TOKEN']
-
-    elif 'skynet.dgpu' in config:
-        sub_config = config['skynet.dgpu']
-        if 'hf_token' in sub_config:
-            hf_token = sub_config['hf_token']
     os.environ['HF_TOKEN'] = hf_token
-
-    if 'HF_HOME' in os.environ:
-        hf_home = os.environ['HF_HOME']
-
-    elif 'skynet.dgpu' in config:
-        sub_config = config['skynet.dgpu']
-        if 'hf_home' in sub_config:
-            hf_home = sub_config['hf_home']
     os.environ['HF_HOME'] = hf_home
-
-    if 'TG_TOKEN' in os.environ:
-        tg_token = os.environ['TG_TOKEN']
-    elif 'skynet.telegram' in config:
-        sub_config = config['skynet.telegram']
-        if 'token' in sub_config:
-            tg_token = sub_config['token']
-
-    if 'DC_TOKEN' in os.environ:
-        dc_token = os.environ['DC_TOKEN']
-    elif 'skynet.discord' in config:
-        sub_config = config['skynet.discord']
-        if 'token' in sub_config:
-            dc_token = sub_config['token']
-
-    return hf_home, hf_token, tg_token, dc_token
-
-
-def load_account_info(
-    _type: str,
-    key: str | None = None,
-    account: str | None = None,
-    permission: str | None = None,
-    file_path=DEFAULT_CONFIG_PATH
-):
-    config = load_skynet_ini(file_path=file_path)
-
-    type_key = f'skynet.{_type}'
-
-    if type_key in config:
-        sub_config = config[type_key]
-        if not key and 'key' in sub_config:
-            key = sub_config['key']
-
-        if not account and 'account' in sub_config:
-            account = sub_config['account']
-
-        if not permission and 'permission' in sub_config:
-            permission = sub_config['permission']
-
-    return key, account, permission
-
-
-def load_endpoint_info(
-    _type: str,
-    node_url: str | None = None,
-    hyperion_url: str | None = None,
-    ipfs_url: str | None = None,
-    ipfs_gateway_url: str | None = None,
-    file_path=DEFAULT_CONFIG_PATH
-):
-    config = load_skynet_ini(file_path=file_path)
-
-    type_key = f'skynet.{_type}'
-
-    if type_key in config:
-        sub_config = config[type_key]
-        if not node_url and 'node_url' in sub_config:
-            node_url = sub_config['node_url']
-
-        if not hyperion_url and 'hyperion_url' in sub_config:
-            hyperion_url = sub_config['hyperion_url']
-
-        if not ipfs_url and 'ipfs_url' in sub_config:
-            ipfs_url = sub_config['ipfs_url']
-
-        if not ipfs_gateway_url and 'ipfs_gateway_url' in sub_config:
-            ipfs_gateway_url = sub_config['ipfs_gateway_url']
-
-    return node_url, hyperion_url, ipfs_gateway_url, ipfs_url

skynet/constants.py

@@ -1,22 +1,24 @@
 #!/usr/bin/python
 
-VERSION = '0.1a11'
+VERSION = '0.1a12'
 
 DOCKER_RUNTIME_CUDA = 'skynet:runtime-cuda'
 
 MODELS = {
-    'prompthero/openjourney':                   { 'short': 'midj'},
+    'prompthero/openjourney':                   {'short': 'midj',        'mem': 6},
-    'runwayml/stable-diffusion-v1-5':           { 'short': 'stable'},
+    'runwayml/stable-diffusion-v1-5':           {'short': 'stable',      'mem': 6},
-    'stabilityai/stable-diffusion-2-1-base':    { 'short': 'stable2'},
+    'stabilityai/stable-diffusion-2-1-base':    {'short': 'stable2',     'mem': 6},
-    'snowkidy/stable-diffusion-xl-base-0.9':    { 'short': 'stablexl0.9'},
+    'snowkidy/stable-diffusion-xl-base-0.9':    {'short': 'stablexl0.9', 'mem': 8.3},
-    'stabilityai/stable-diffusion-xl-base-1.0': { 'short': 'stablexl'},
+    'Linaqruf/anything-v3.0':                   {'short': 'hdanime',     'mem': 6},
-    'Linaqruf/anything-v3.0':                   { 'short': 'hdanime'},
+    'hakurei/waifu-diffusion':                  {'short': 'waifu',       'mem': 6},
-    'hakurei/waifu-diffusion':                  { 'short': 'waifu'},
+    'nitrosocke/Ghibli-Diffusion':              {'short': 'ghibli',      'mem': 6},
-    'nitrosocke/Ghibli-Diffusion':              { 'short': 'ghibli'},
+    'dallinmackay/Van-Gogh-diffusion':          {'short': 'van-gogh',    'mem': 6},
-    'dallinmackay/Van-Gogh-diffusion':          { 'short': 'van-gogh'},
+    'lambdalabs/sd-pokemon-diffusers':          {'short': 'pokemon',     'mem': 6},
-    'lambdalabs/sd-pokemon-diffusers':          { 'short': 'pokemon'},
+    'Envvi/Inkpunk-Diffusion':                  {'short': 'ink',         'mem': 6},
-    'Envvi/Inkpunk-Diffusion':                  { 'short': 'ink'},
+    'nousr/robo-diffusion':                     {'short': 'robot',       'mem': 6},
-    'nousr/robo-diffusion':                     { 'short': 'robot'}
+
+    # default is always last
+    'stabilityai/stable-diffusion-xl-base-1.0': {'short': 'stablexl',    'mem': 8.3},
 }
 
 SHORT_NAMES = [
@@ -158,15 +160,14 @@ DEFAULT_GUIDANCE = 7.5
 DEFAULT_STRENGTH = 0.5
 DEFAULT_STEP = 28
 DEFAULT_CREDITS = 10
-DEFAULT_MODEL = list(MODELS.keys())[4]
+DEFAULT_MODEL = list(MODELS.keys())[-1]
 DEFAULT_ROLE = 'pleb'
 DEFAULT_UPSCALER = None
 
-DEFAULT_CONFIG_PATH = 'skynet.ini'
+DEFAULT_CONFIG_PATH = 'skynet.toml'
 
 DEFAULT_INITAL_MODELS = [
-    'prompthero/openjourney',
+    'stabilityai/stable-diffusion-xl-base-1.0'
-    'runwayml/stable-diffusion-v1-5'
 ]
 
 DATE_FORMAT = '%B the %dth %Y, %H:%M:%S'
@@ -182,10 +183,13 @@ CONFIG_ATTRS = [
     'upscaler'
 ]
 
-DEFAULT_DOMAIN = 'skygpu.net'
+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'

skynet/db/functions.py

@@ -43,6 +43,7 @@ CREATE TABLE IF NOT EXISTS skynet.user_config(
     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)
@@ -165,6 +166,15 @@ async def open_database_connection(
         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)
 

skynet/dgpu/__init__.py

@@ -2,6 +2,9 @@
 
 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
@@ -10,7 +13,18 @@ from skynet.dgpu.network import SkynetGPUConnector
 async def open_dgpu_node(config: dict):
     conn = SkynetGPUConnector(config)
     mm = SkynetMM(config)
+    daemon = SkynetDGPUDaemon(mm, conn, config)
 
-    async with conn.open() as conn:
+    api = None
-        await (SkynetDGPUDaemon(mm, conn, config)
+    if 'api_bind' in config:
-            .serve_forever())
+        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()

skynet/dgpu/compute.py

@@ -3,31 +3,43 @@
 # Skynet Memory Manager
 
 import gc
-from hashlib import sha256
-import json
 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
 
-from skynet.utils import convert_from_bytes_and_crop, convert_from_cv2_to_image, convert_from_image_to_cv2, convert_from_img_to_bytes, init_upscaler, pipeline_for
+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,
-    binary: bytes | None = None
+    input_type: str,
+    binary = None
 ):
-    image = None
-    if binary:
-        image = convert_from_bytes_and_crop(binary, 512, 512)
-
     _params = {}
-    if image:
+    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'])
@@ -51,6 +63,10 @@ class SkynetMM:
             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)
@@ -75,7 +91,9 @@ class SkynetMM:
     ):
         logging.info(f'loading model {model_name}...')
         if force or len(self._models.keys()) == 0:
-            pipe = pipeline_for(model_name, image=image)
+            pipe = pipeline_for(
+                model_name, image=image, cache_dir=self.cache_dir)
+
             self._models[model_name] = {
                 'pipe': pipe,
                 'generated': 0,
@@ -97,7 +115,8 @@ class SkynetMM:
             gc.collect()
             torch.cuda.empty_cache()
 
-            pipe = pipeline_for(model_name, image=image)
+            pipe = pipeline_for(
+                model_name, image=image, cache_dir=self.cache_dir)
 
             self._models[model_name] = {
                 'pipe': pipe,
@@ -122,38 +141,61 @@ class SkynetMM:
 
     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':
-                    image = None
+                    arguments = prepare_params_for_diffuse(
-
+                        params, input_type, binary=binary)
-                    arguments = prepare_params_for_diffuse(params, binary)
                     prompt, guidance, step, seed, upscaler, extra_params = arguments
                     model = self.get_model(params['model'], 'image' in extra_params)
 
-                    image = model(
+                    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 = image.convert('RGB')
+                                input_img = output.convert('RGB')
                                 up_img, _ = self.upscaler.enhance(
                                     convert_from_image_to_cv2(input_img), outscale=4)
 
-                        image = convert_from_cv2_to_image(up_img)
+                                output = convert_from_cv2_to_image(up_img)
 
-                    img_raw = convert_from_img_to_bytes(image)
+                            output_binary = convert_from_img_to_bytes(output)
-                    img_sha = sha256(img_raw).hexdigest()
 
-                    return img_sha, img_raw
+                        case _:
+                            raise DGPUComputeError(f'Unsupported output type: {output_type}')
+
+                    output_hash = sha256(output_binary).hexdigest()
 
                 case _:
                     raise DGPUComputeError('Unsupported compute method')
@@ -164,3 +206,5 @@ class SkynetMM:
 
         finally:
             torch.cuda.empty_cache()
+
+        return output_hash, output

skynet/dgpu/daemon.py

@@ -1,17 +1,35 @@
 #!/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__(
@@ -27,27 +45,120 @@ class SkynetDGPUDaemon:
             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 = await self.conn.get_work_requests_last_hour()
+                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']
 
-                    my_results = [res['id'] for res in (await self.conn.find_my_results())]
-                    if rid not in my_results:
-                        statuses = await self.conn.get_status_by_request_id(rid)
-
-                        if len(statuses) == 0:
-
                     # parse request
                     body = json.loads(req['body'])
+                    model = body['params']['model']
 
-                            binary = await self.conn.get_input_data(req['binary_data'])
+                    # 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'])
@@ -70,17 +181,40 @@ class SkynetDGPUDaemon:
 
                             else:
                                 try:
-                                    img_sha, img_raw = self.mm.compute_one(
+                                    output_type = 'png'
-                                        body['method'], body['params'], binary=binary)
+                                    if 'output_type' in body['params']:
+                                        output_type = body['params']['output_type']
 
-                                    ipfs_hash = await self.conn.publish_on_ipfs(img_raw)
+                                    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
+                                                )
+                                            )
 
-                                    await self.conn.submit_work(rid, request_hash, img_sha, ipfs_hash)
+                                        case _:
-                                    break
+                                            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:

skynet/dgpu/errors.py

@@ -3,3 +3,6 @@
 
 class DGPUComputeError(BaseException):
     ...
+
+class DGPUInferenceCancelled(BaseException):
+    ...

skynet/dgpu/network.py

@@ -1,23 +1,28 @@
 #!/usr/bin/python
 
-from functools import partial
 import io
 import json
-from pathlib import Path
 import time
 import logging
 
-import asks
+from pathlib import Path
-from PIL import Image
+from functools import partial
 
-from contextlib import asynccontextmanager as acm
+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_DOMAIN
+from skynet.constants import DEFAULT_IPFS_DOMAIN
 
-from skynet.dgpu.errors import DGPUComputeError
 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):
@@ -25,8 +30,11 @@ async def failable(fn: partial, ret_fail=None):
         return await fn()
 
     except (
+        OSError,
+        json.JSONDecodeError,
         asks.errors.RequestTimeout,
-        json.JSONDecodeError
+        asks.errors.BadHttpResponse,
+        anyio.BrokenResourceError
     ):
         return ret_fail
 
@@ -44,11 +52,19 @@ class SkynetGPUConnector:
         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):
@@ -98,6 +114,36 @@ class SkynetGPUConnector:
         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(
@@ -193,31 +239,74 @@ class SkynetGPUConnector:
         )
 
     # IPFS helpers
-
+    async def publish_on_ipfs(self, raw, typ: str = 'png'):
-    async def publish_on_ipfs(self, raw_img: bytes):
+        Path('ipfs-staging').mkdir(exist_ok=True)
         logging.info('publish_on_ipfs')
-        img = Image.open(io.BytesIO(raw_img))
-        img.save('ipfs-docker-staging/image.png')
 
+        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('ipfs-docker-staging/image.png'))
+        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) -> bytes:
+    async def get_input_data(self, ipfs_hash: str) -> tuple[bytes, str]:
-        if ipfs_hash == '':
+        input_type = 'none'
-            return b''
 
-        resp = await get_ipfs_file(f'https://ipfs.{DEFAULT_DOMAIN}/ipfs/{ipfs_hash}/image.png')
+        if ipfs_hash == '':
-        if not resp:
+            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 resp.raw
+        return input_data, input_type

skynet/frontend/__init__.py

@@ -1,5 +1,7 @@
 #!/usr/bin/python
 
+import random
+
 from ..constants import *
 
 
@@ -15,10 +17,14 @@ class ConfigUnknownAlgorithm(BaseException):
 class ConfigUnknownUpscaler(BaseException):
     ...
 
+class ConfigUnknownAutoConfSetting(BaseException):
+    ...
+
 class ConfigSizeDivisionByEight(BaseException):
     ...
 
 
+
 def validate_user_config_request(req: str):
     params = req.split(' ')
 
@@ -78,6 +84,18 @@ def validate_user_config_request(req: str):
                         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')
@@ -92,3 +110,22 @@ def validate_user_config_request(req: str):
         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

skynet/frontend/discord/__init__.py

@@ -45,7 +45,9 @@ class SkynetDiscordFrontend:
         db_pass: str,
         ipfs_url: str,
         remote_ipfs_node: str,
-        key: str
+        key: str,
+        explorer_domain: str,
+        ipfs_domain: str
     ):
         # self.token = token
         self.account = account
@@ -58,6 +60,8 @@ class SkynetDiscordFrontend:
         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)
@@ -169,7 +173,7 @@ class SkynetDiscordFrontend:
             return False
 
         enqueue_tx_id = res['transaction_id']
-        enqueue_tx_link = f'[**Your request on Skynet Explorer**](https://explorer.{DEFAULT_DOMAIN}/v2/explore/transaction/{enqueue_tx_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(
@@ -241,8 +245,48 @@ class SkynetDiscordFrontend:
         await message.edit(embed=embed)
 
         # attempt to get the image and send it
-        ipfs_link = f'https://ipfs.{DEFAULT_DOMAIN}/ipfs/{ipfs_hash}/image.png'
+        results = {}
-        resp = await get_ipfs_file(ipfs_link)
+        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(

skynet/frontend/discord/utils.py

@@ -81,11 +81,12 @@ def generate_reply_caption(
     params: dict,
     tx_hash: str,
     worker: str,
-    reward: str
+    reward: str,
+    explorer_domain: str
 ):
     explorer_link = discord.Embed(
         title='[SKYNET Transaction Explorer]',
-        url=f'https://explorer.{DEFAULT_DOMAIN}/v2/explore/transaction/{tx_hash}',
+        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)

skynet/frontend/telegram/__init__.py

@@ -5,22 +5,22 @@ import random
 import logging
 import asyncio
 
-from PIL import Image
+from PIL import Image, UnidentifiedImageError
 from json import JSONDecodeError
 from decimal import Decimal
 from hashlib import sha256
 from datetime import datetime
-from contextlib import ExitStack, AsyncExitStack
+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.types import InputMediaPhoto
 from telebot.async_telebot import AsyncTeleBot
 
-from skynet.db import open_new_database, open_database_connection
+from skynet.db import open_database_connection
 from skynet.ipfs import get_ipfs_file, AsyncIPFSHTTP
 from skynet.constants import *
 
@@ -44,7 +44,9 @@ class SkynetTelegramFrontend:
         db_pass: str,
         ipfs_node: str,
         remote_ipfs_node: str | None,
-        key: str
+        key: str,
+        explorer_domain: str,
+        ipfs_domain: str
     ):
         self.token = token
         self.account = account
@@ -56,6 +58,8 @@ class SkynetTelegramFrontend:
         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)
@@ -161,7 +165,7 @@ class SkynetTelegramFrontend:
         enqueue_tx_id = res['transaction_id']
         enqueue_tx_link = hlink(
             'Your request on Skynet Explorer',
-            f'https://explorer.{DEFAULT_DOMAIN}/v2/explore/transaction/{enqueue_tx_id}'
+            f'https://{self.explorer_domain}/v2/explore/transaction/{enqueue_tx_id}'
         )
 
         await self.append_status_message(
@@ -222,7 +226,7 @@ class SkynetTelegramFrontend:
 
         tx_link = hlink(
             'Your result on Skynet Explorer',
-            f'https://explorer.{DEFAULT_DOMAIN}/v2/explore/transaction/{tx_hash}'
+            f'https://{self.explorer_domain}/v2/explore/transaction/{tx_hash}'
         )
 
         await self.append_status_message(
@@ -234,14 +238,51 @@ class SkynetTelegramFrontend:
         )
 
         caption = generate_reply_caption(
-            user, params, tx_hash, worker, reward)
+            user, params, tx_hash, worker, reward, self.explorer_domain)
 
         # attempt to get the image and send it
-        ipfs_link = f'https://ipfs.{DEFAULT_DOMAIN}/ipfs/{ipfs_hash}/image.png'
+        results = {}
-        resp = await get_ipfs_file(ipfs_link)
+        ipfs_link = f'https://{self.ipfs_domain}/ipfs/{ipfs_hash}'
+        ipfs_link_legacy = ipfs_link + '/image.png'
 
-        if not resp or resp.status_code != 200:
+        async def get_and_set_results(link: str):
-            logging.error(f'couldn\'t get ipfs hosted image at {ipfs_link}!')
+            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,
@@ -250,17 +291,6 @@ class SkynetTelegramFrontend:
             )
             return True
 
-        png_img = resp.raw
-        with Image.open(io.BytesIO(resp.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()
-
         logging.info(f'success! sending generated image')
         await self.bot.delete_message(
             chat_id=status_msg.chat.id, message_id=status_msg.id)

skynet/frontend/telegram/handlers.py

@@ -9,7 +9,7 @@ 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.frontend import validate_user_config_request, perform_auto_conf
 from skynet.constants import *
 
 
@@ -149,6 +149,9 @@ def create_handler_context(frontend: 'SkynetTelegramFrontend'):
         user_config = {**user_row}
         del user_config['id']
 
+        if user_config['autoconf']:
+            user_config = perform_auto_conf(user_config)
+
         params = {
             'prompt': prompt,
             **user_config
@@ -209,12 +212,18 @@ def create_handler_context(frontend: 'SkynetTelegramFrontend'):
         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 > 512 or h > 512:
+            if w > user_config['width'] or h > user_config['height']:
                 logging.warning(f'user sent img of size {image.size}')
-                image.thumbnail((512, 512))
+                image.thumbnail(
+                    (user_config['width'], user_config['height']))
                 logging.warning(f'resized it to {image.size}')
 
             image_loc = 'ipfs-staging/image.png'
@@ -228,9 +237,6 @@ def create_handler_context(frontend: 'SkynetTelegramFrontend'):
 
         logging.info(f'mid: {message.id}')
 
-        user_config = {**user_row}
-        del user_config['id']
-
         params = {
             'prompt': prompt,
             **user_config
@@ -303,6 +309,8 @@ def create_handler_context(frontend: 'SkynetTelegramFrontend'):
             '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,

skynet/frontend/telegram/utils.py

@@ -67,11 +67,12 @@ def generate_reply_caption(
     params: dict,
     tx_hash: str,
     worker: str,
-    reward: str
+    reward: str,
+    explorer_domain: str
 ):
     explorer_link = hlink(
         'SKYNET Transaction Explorer',
-        f'https://explorer.{DEFAULT_DOMAIN}/v2/explore/transaction/{tx_hash}'
+        f'https://explorer.{explorer_domain}/v2/explore/transaction/{tx_hash}'
     )
 
     meta_info = prepare_metainfo_caption(tguser, worker, reward, params)

skynet/ipfs/docker.py

@@ -1,6 +1,5 @@
 #!/usr/bin/python
 
-import os
 import sys
 import logging
 
@@ -10,48 +9,14 @@ from contextlib import contextmanager as cm
 import docker
 
 from docker.types import Mount
-from docker.models.containers import Container
-
-
-class IPFSDocker:
-
-    def __init__(self, container: Container):
-        self._container = container
-
-    def add(self, file: str) -> str:
-        ec, out = self._container.exec_run(
-            ['ipfs', 'add', '-w', f'/export/{file}', '-Q'])
-        if ec != 0:
-            logging.error(out)
-        assert ec == 0
-
-        return out.decode().rstrip()
-
-    def pin(self, ipfs_hash: str):
-        ec, _ = self._container.exec_run(
-            ['ipfs', 'pin', 'add', ipfs_hash])
-        assert ec == 0
-
-    def connect(self, remote_node: str):
-        ec, out = self._container.exec_run(
-            ['ipfs', 'swarm', 'connect', remote_node])
-        if ec != 0:
-            logging.error(out)
-
-        assert ec == 0
-
-    def check_connect(self):
-        ec, out = self._container.exec_run(
-            ['ipfs', 'swarm', 'peers'])
-        if ec != 0:
-            logging.error(out)
-        assert ec == 0
-
-        return out.splitlines()
 
 
 @cm
-def open_ipfs_node(name='skynet-ipfs', teardown=False):
+def open_ipfs_node(
+    name: str = 'skynet-ipfs',
+    teardown: bool = False,
+    peers: list[str] = []
+):
     dclient = docker.from_env()
 
     container = None
@@ -59,13 +24,9 @@ def open_ipfs_node(name='skynet-ipfs', teardown=False):
         container = dclient.containers.get(name)
 
     except docker.errors.NotFound:
-        staging_dir = Path().resolve() / 'ipfs-docker-staging'
-        staging_dir.mkdir(parents=True, exist_ok=True)
-
         data_dir = Path().resolve() / 'ipfs-docker-data'
         data_dir.mkdir(parents=True, exist_ok=True)
 
-        export_target = '/export'
         data_target = '/data/ipfs'
 
         container = dclient.containers.run(
@@ -77,19 +38,15 @@ def open_ipfs_node(name='skynet-ipfs', teardown=False):
                 '5001/tcp': ('127.0.0.1', 5001)
             },
             mounts=[
-                Mount(export_target, str(staging_dir), 'bind'),
                 Mount(data_target, str(data_dir), 'bind')
             ],
             detach=True,
             remove=True
         )
 
+        uid, gid = 1000, 1000
+
         if sys.platform != 'win32':
-            uid = os.getuid()
-            gid = os.getgid()
-            ec, out = container.exec_run(['chown', f'{uid}:{gid}', '-R', export_target])
-            logging.info(out)
-            assert ec == 0
             ec, out = container.exec_run(['chown', f'{uid}:{gid}', '-R', data_target])
             logging.info(out)
             assert ec == 0
@@ -100,7 +57,13 @@ def open_ipfs_node(name='skynet-ipfs', teardown=False):
             if 'Daemon is ready' in log:
                 break
 
-    yield IPFSDocker(container)
+    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()

skynet/ipfs/pinner.py

@@ -85,9 +85,9 @@ class SkynetPinner:
         for _ in range(6):
             try:
                 with trio.move_on_after(5):
-                    resp = await self.ipfs_http.pin(cid)
+                    pins = await self.ipfs_http.pin(cid)
-                    if resp.status_code != 200:
+                    if cid not in pins:
-                        logging.error(f'error pinning {cid}:\n{resp.text}')
+                        logging.error(f'error pinning {cid}')
                         del self._pinned[cid]
 
                     else:

skynet/nodeos.py

@@ -4,44 +4,12 @@ import json
 import time
 import logging
 
-from datetime import datetime
 from contextlib import contextmanager as cm
 
 import docker
 
-from pytz import timezone
+from leap.cleos import CLEOS
-from leap.cleos import CLEOS, default_nodeos_image
+from leap.sugar import get_container, Symbol
-from leap.sugar import get_container, Symbol, random_string
-
-
-@cm
-def open_cleos(
-    node_url: str,
-    key: str | None
-):
-    vtestnet = None
-    try:
-        dclient = docker.from_env()
-        vtestnet = get_container(
-            dclient,
-            default_nodeos_image(),
-            name=f'skynet-wallet-{random_string(size=8)}',
-            force_unique=True,
-            detach=True,
-            network='host',
-            remove=True)
-
-        cleos = CLEOS(dclient, vtestnet, url=node_url, remote=node_url)
-
-        if key:
-            cleos.setup_wallet(key)
-
-        yield cleos
-
-    finally:
-        if vtestnet:
-            vtestnet.stop()
-
 
 
 @cm

skynet/utils.py

@@ -2,11 +2,14 @@
 
 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
@@ -15,14 +18,11 @@ from PIL import Image
 from basicsr.archs.rrdbnet_arch import RRDBNet
 from diffusers import (
     DiffusionPipeline,
-    StableDiffusionXLPipeline,
-    StableDiffusionXLImg2ImgPipeline,
-    StableDiffusionPipeline,
-    StableDiffusionImg2ImgPipeline,
     EulerAncestralDiscreteScheduler
 )
 from realesrgan import RealESRGANer
 from huggingface_hub import login
+import trio
 
 from .constants import MODELS
 
@@ -51,19 +51,23 @@ def convert_from_img_to_bytes(image: Image, fmt='PNG') -> bytes:
     return byte_arr.getvalue()
 
 
-def convert_from_bytes_and_crop(raw: bytes, max_w: int, max_h: int) -> Image:
+def crop_image(image: Image, max_w: int, max_h: int) -> Image:
-    image = convert_from_bytes_to_img(raw)
     w, h = image.size
     if w > max_w or h > max_h:
-        image.thumbnail((512, 512))
+        image.thumbnail((max_w, max_h))
 
     return image.convert('RGB')
 
 
-def pipeline_for(model: str, mem_fraction: float = 1.0, image=False) -> DiffusionPipeline:
+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.cuda.set_per_process_memory_fraction(mem_fraction)
     torch.backends.cuda.matmul.allow_tf32 = True
     torch.backends.cudnn.allow_tf32 = True
 
@@ -74,36 +78,54 @@ def pipeline_for(model: str, mem_fraction: float = 1.0, image=False) -> Diffusio
     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,
-        'safety_checker': None
+        'cache_dir': cache_dir,
+        'variant': 'fp16'
     }
 
-    if model == 'runwayml/stable-diffusion-v1-5':
+    match shortname:
+        case 'stable':
             params['revision'] = 'fp16'
 
-    if (model == 'stabilityai/stable-diffusion-xl-base-1.0' or
+    torch.cuda.set_per_process_memory_fraction(mem_fraction)
-        model == 'snowkidy/stable-diffusion-xl-base-0.9'):
-        if image:
-            pipe_class = StableDiffusionXLImg2ImgPipeline
-        else:
-            pipe_class = StableDiffusionXLPipeline
-    else:
-        if image:
-            pipe_class = StableDiffusionImg2ImgPipeline
-        else:
-            pipe_class = StableDiffusionPipeline
 
-    pipe = pipe_class.from_pretrained(
+    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()
 
-    return pipe.to('cuda')
+        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(
@@ -116,12 +138,6 @@ def txt2img(
     steps: int = 28,
     seed: Optional[int] = None
 ):
-    assert torch.cuda.is_available()
-    torch.cuda.empty_cache()
-    torch.cuda.set_per_process_memory_fraction(1.0)
-    torch.backends.cuda.matmul.allow_tf32 = True
-    torch.backends.cudnn.allow_tf32 = True
-
     login(token=hf_token)
     pipe = pipeline_for(model)
 
@@ -149,12 +165,6 @@ def img2img(
     steps: int = 28,
     seed: Optional[int] = None
 ):
-    assert torch.cuda.is_available()
-    torch.cuda.empty_cache()
-    torch.cuda.set_per_process_memory_fraction(1.0)
-    torch.backends.cuda.matmul.allow_tf32 = True
-    torch.backends.cudnn.allow_tf32 = True
-
     login(token=hf_token)
     pipe = pipeline_for(model, image=True)
 
@@ -195,12 +205,6 @@ def upscale(
     output: str = 'output.png',
     model_path: str = 'weights/RealESRGAN_x4plus.pth'
 ):
-    assert torch.cuda.is_available()
-    torch.cuda.empty_cache()
-    torch.cuda.set_per_process_memory_fraction(1.0)
-    torch.backends.cuda.matmul.allow_tf32 = True
-    torch.backends.cudnn.allow_tf32 = True
-
     input_img = Image.open(img_path).convert('RGB')
 
     upscaler = init_upscaler(model_path=model_path)
@@ -209,17 +213,26 @@ def upscale(
         convert_from_image_to_cv2(input_img), outscale=4)
 
     image = convert_from_cv2_to_image(up_img)
-
-
     image.save(output)
 
 
-def download_all_models(hf_token: str):
+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)
+        pipeline_for(model, cache_dir=hf_home)
-        print(f'DOWNLOADING IMAGE {model.upper()}')
-        pipeline_for(model, image=True)