496766edd7
* add vae approx download * files * files * files * i * i * i * i * i * i * i * i * i * i
108 lines
3.9 KiB
Python
108 lines
3.9 KiB
Python
import os
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import sys
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import platform
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import fooocus_version
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from modules.launch_util import is_installed, run, python, \
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run_pip, repo_dir, git_clone, requirements_met, script_path, dir_repos
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from modules.model_loader import load_file_from_url
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from modules.path import modelfile_path, lorafile_path, vae_approx_path, fooocus_expansion_path
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REINSTALL_ALL = False
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def prepare_environment():
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torch_index_url = os.environ.get('TORCH_INDEX_URL', "https://download.pytorch.org/whl/cu118")
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torch_command = os.environ.get('TORCH_COMMAND',
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f"pip install torch==2.0.1 torchvision==0.15.2 --extra-index-url {torch_index_url}")
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requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
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xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.20')
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comfy_repo = os.environ.get('COMFY_REPO', "https://github.com/comfyanonymous/ComfyUI")
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comfy_commit_hash = os.environ.get('COMFY_COMMIT_HASH', "2bc12d3d22efb5c63ae3a7fc342bb2dd16b31735")
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print(f"Python {sys.version}")
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print(f"Fooocus version: {fooocus_version.version}")
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comfyui_name = 'ComfyUI-from-StabilityAI-Official'
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git_clone(comfy_repo, repo_dir(comfyui_name), "Inference Engine", comfy_commit_hash)
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sys.path.append(os.path.join(script_path, dir_repos, comfyui_name))
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if REINSTALL_ALL or not is_installed("torch") or not is_installed("torchvision"):
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run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True)
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if REINSTALL_ALL or not is_installed("xformers"):
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if platform.system() == "Windows":
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if platform.python_version().startswith("3.10"):
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run_pip(f"install -U -I --no-deps {xformers_package}", "xformers", live=True)
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else:
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print("Installation of xformers is not supported in this version of Python.")
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print(
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"You can also check this and build manually: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers#building-xformers-on-windows-by-duckness")
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if not is_installed("xformers"):
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exit(0)
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elif platform.system() == "Linux":
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run_pip(f"install -U -I --no-deps {xformers_package}", "xformers")
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if REINSTALL_ALL or not requirements_met(requirements_file):
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run_pip(f"install -r \"{requirements_file}\"", "requirements")
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return
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model_filenames = [
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('sd_xl_base_1.0_0.9vae.safetensors',
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'https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0_0.9vae.safetensors'),
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('sd_xl_refiner_1.0_0.9vae.safetensors',
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'https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0_0.9vae.safetensors')
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]
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lora_filenames = [
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('sd_xl_offset_example-lora_1.0.safetensors',
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'https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors')
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]
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vae_approx_filenames = [
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('taesdxl_decoder.pth',
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'https://huggingface.co/lllyasviel/misc/resolve/main/taesdxl_decoder.pth')
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]
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def download_models():
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for file_name, url in model_filenames:
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load_file_from_url(url=url, model_dir=modelfile_path, file_name=file_name)
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for file_name, url in lora_filenames:
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load_file_from_url(url=url, model_dir=lorafile_path, file_name=file_name)
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for file_name, url in vae_approx_filenames:
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load_file_from_url(url=url, model_dir=vae_approx_path, file_name=file_name)
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load_file_from_url(
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url='https://huggingface.co/lllyasviel/misc/resolve/main/fooocus_expansion.bin',
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model_dir=fooocus_expansion_path,
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file_name='pytorch_model.bin'
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)
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return
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def clear_comfy_args():
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argv = sys.argv
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sys.argv = [sys.argv[0]]
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import comfy.cli_args
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sys.argv = argv
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def cuda_malloc():
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import cuda_malloc
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prepare_environment()
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clear_comfy_args()
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# cuda_malloc()
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download_models()
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from webui import *
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