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@ -5,6 +5,7 @@ import platform
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from modules.launch_util import commit_hash, fooocus_tag, is_installed, run, python, \
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from modules.launch_util import commit_hash, fooocus_tag, is_installed, run, python, \
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run_pip, repo_dir, git_clone, requirements_met, script_path, dir_repos
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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.model_loader import load_file_from_url
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from modules.path import modelfile_path
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REINSTALL_ALL = False
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REINSTALL_ALL = False
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@ -52,7 +53,6 @@ def prepare_environment():
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return
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return
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model_file_path = os.path.abspath('./model_files/')
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model_filenames = [
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model_filenames = [
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('sd_xl_base_1.0.safetensors', 'https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors'),
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('sd_xl_base_1.0.safetensors', 'https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors'),
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('sd_xl_refiner_1.0.safetensors', 'https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors')
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('sd_xl_refiner_1.0.safetensors', 'https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors')
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@ -61,7 +61,7 @@ model_filenames = [
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def download_models():
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def download_models():
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for file_name, url in model_filenames:
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for file_name, url in model_filenames:
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load_file_from_url(url=url, model_dir=model_file_path, file_name=file_name)
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load_file_from_url(url=url, model_dir=modelfile_path, file_name=file_name)
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return
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return
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3
modules/path.py
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3
modules/path.py
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@ -0,0 +1,3 @@
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import os
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modelfile_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../model_files'))
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20
webui.py
20
webui.py
@ -1,5 +1,19 @@
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print('hello word')
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import os
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from comfy.sd import load_checkpoint_guess_config
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from nodes import CheckpointLoader
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from nodes import (
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VAEDecode,
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KSamplerAdvanced,
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EmptyLatentImage,
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SaveImage,
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CLIPTextEncode,
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)
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print(CheckpointLoader)
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from modules.path import modelfile_path
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xl_base_filename = os.path.join(modelfile_path, 'sd_xl_base_1.0.safetensors')
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xl_refiner_filename = os.path.join(modelfile_path, 'sd_xl_refiner_1.0.safetensors')
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ckpts = load_checkpoint_guess_config(xl_base_filename)
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a = 0
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