mirror of https://github.com/skygpu/skynet.git
Move skynet.utils to skynet.dgpu submodule
parent
cebbd1059e
commit
a652fdd781
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@ -45,7 +45,7 @@ def skynet(*args, **kwargs):
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@click.option('--steps', '-s', default=26)
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@click.option('--seed', '-S', default=None)
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def txt2img(*args, **kwargs):
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from . import utils # TODO? why here, import cycle?
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from skynet.dgpu import utils
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config = load_skynet_toml()
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set_hf_vars(config.dgpu.hf_token, config.dgpu.hf_home)
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@ -70,7 +70,7 @@ def txt2img(*args, **kwargs):
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@click.option('--steps', '-s', default=26)
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@click.option('--seed', '-S', default=None)
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def img2img(model, prompt, input, output, strength, guidance, steps, seed):
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from . import utils
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from skynet.dgpu import utils
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config = load_skynet_toml()
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set_hf_vars(config.dgpu.hf_token, config.dgpu.hf_home)
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utils.img2img(
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@ -98,7 +98,7 @@ def img2img(model, prompt, input, output, strength, guidance, steps, seed):
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@click.option('--steps', '-s', default=26)
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@click.option('--seed', '-S', default=None)
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def inpaint(model, prompt, input, mask, output, strength, guidance, steps, seed):
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from . import utils
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from skynet.dgpu import utils
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config = load_skynet_toml()
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set_hf_vars(config.dgpu.hf_token, config.dgpu.hf_home)
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utils.inpaint(
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@ -119,7 +119,7 @@ def inpaint(model, prompt, input, mask, output, strength, guidance, steps, seed)
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@click.option('--output', '-o', default='output.png')
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@click.option('--model', '-m', default='weights/RealESRGAN_x4plus.pth')
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def upscale(input, output, model):
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from . import utils
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from skynet.dgpu import utils
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utils.upscale(
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img_path=input,
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output=output,
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@ -128,7 +128,7 @@ def upscale(input, output, model):
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@skynet.command()
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def download():
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from . import utils
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from skynet.dgpu import utils
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config = load_skynet_toml()
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set_hf_vars(config.dgpu.hf_token, config.dgpu.hf_home)
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utils.download_all_models(config.dgpu.hf_token, config.dgpu.hf_home)
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@ -19,7 +19,7 @@ from skynet.dgpu.errors import (
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DGPUInferenceCancelled,
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)
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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
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from skynet.dgpu.utils import crop_image, convert_from_cv2_to_image, convert_from_image_to_cv2, convert_from_img_to_bytes, init_upscaler, pipeline_for
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def prepare_params_for_diffuse(
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@ -23,7 +23,7 @@ from diffusers import (
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)
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from huggingface_hub import login
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from .constants import MODELS
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from skynet.constants import MODELS
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# Hack to fix a changed import in torchvision 0.17+, which otherwise breaks
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# basicsr; see https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/13985
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