commit
1068d3fde4
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@ -1 +1 @@
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version = '2.5.3'
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version = '2.5.4'
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14
launch.py
14
launch.py
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@ -21,6 +21,7 @@ import fooocus_version
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from build_launcher import build_launcher
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from modules.launch_util import is_installed, run, python, run_pip, requirements_met, delete_folder_content
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from modules.model_loader import load_file_from_url
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from modules.util import get_file_from_folder_list
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REINSTALL_ALL = False
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TRY_INSTALL_XFORMERS = False
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@ -80,12 +81,13 @@ if args.gpu_device_id is not None:
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os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_device_id)
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print("Set device to:", args.gpu_device_id)
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if args.hf_mirror is not None :
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if args.hf_mirror is not None:
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os.environ['HF_MIRROR'] = str(args.hf_mirror)
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print("Set hf_mirror to:", args.hf_mirror)
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from modules import config
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from modules.hash_cache import init_cache
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os.environ["U2NET_HOME"] = config.path_inpaint
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os.environ['GRADIO_TEMP_DIR'] = config.temp_path
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@ -114,9 +116,9 @@ def download_models(default_model, previous_default_models, checkpoint_downloads
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return default_model, checkpoint_downloads
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if not args.always_download_new_model:
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if not os.path.exists(os.path.join(config.paths_checkpoints[0], default_model)):
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if not os.path.isfile(get_file_from_folder_list(default_model, config.paths_checkpoints)):
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for alternative_model_name in previous_default_models:
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if os.path.exists(os.path.join(config.paths_checkpoints[0], alternative_model_name)):
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if os.path.isfile(get_file_from_folder_list(alternative_model_name, config.paths_checkpoints)):
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print(f'You do not have [{default_model}] but you have [{alternative_model_name}].')
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print(f'Fooocus will use [{alternative_model_name}] to avoid downloading new models, '
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f'but you are not using the latest models.')
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@ -126,11 +128,13 @@ def download_models(default_model, previous_default_models, checkpoint_downloads
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break
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for file_name, url in checkpoint_downloads.items():
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load_file_from_url(url=url, model_dir=config.paths_checkpoints[0], file_name=file_name)
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model_dir = os.path.dirname(get_file_from_folder_list(file_name, config.paths_checkpoints))
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load_file_from_url(url=url, model_dir=model_dir, file_name=file_name)
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for file_name, url in embeddings_downloads.items():
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load_file_from_url(url=url, model_dir=config.path_embeddings, file_name=file_name)
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for file_name, url in lora_downloads.items():
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load_file_from_url(url=url, model_dir=config.paths_loras[0], file_name=file_name)
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model_dir = os.path.dirname(get_file_from_folder_list(file_name, config.paths_loras))
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load_file_from_url(url=url, model_dir=model_dir, file_name=file_name)
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for file_name, url in vae_downloads.items():
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load_file_from_url(url=url, model_dir=config.path_vae, file_name=file_name)
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@ -1223,6 +1223,8 @@ def worker():
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height, width, _ = async_task.enhance_input_image.shape
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# input image already provided, processing is skipped
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steps = 0
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yield_result(async_task, async_task.enhance_input_image, current_progress, async_task.black_out_nsfw, False,
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async_task.disable_intermediate_results)
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all_steps = steps * async_task.image_number
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@ -1,3 +1,9 @@
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# [2.5.4](https://github.com/lllyasviel/Fooocus/releases/tag/v2.5.4)
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* Fix validation for default_ip_image_* and default_inpaint_mask_sam_model
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* Fix enhance mask debugging in combination with image sorting
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* Fix loading of checkpoints and LoRAs when using multiple directories in config and then switching presets
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# [2.5.3](https://github.com/lllyasviel/Fooocus/releases/tag/v2.5.3)
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* Only load weights from non-safetensors files, preventing harmful code injection
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