Add application file

Dockerfile

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+FROM nvidia/cuda:12.4.1-base-ubuntu22.04
+ENV DEBIAN_FRONTEND noninteractive
+ENV CMDARGS --listen
+
+RUN apt-get update -y && \
+	apt-get install -y curl libgl1 libglib2.0-0 python3-pip python-is-python3 git && \
+	apt-get clean && \
+	rm -rf /var/lib/apt/lists/*
+
+COPY requirements_docker.txt requirements_versions.txt /tmp/
+RUN pip install --no-cache-dir -r /tmp/requirements_docker.txt -r /tmp/requirements_versions.txt && \
+	rm -f /tmp/requirements_docker.txt /tmp/requirements_versions.txt
+RUN pip install --no-cache-dir xformers==0.0.23 --no-dependencies
+RUN curl -fsL -o /usr/local/lib/python3.10/dist-packages/gradio/frpc_linux_amd64_v0.2 https://cdn-media.huggingface.co/frpc-gradio-0.2/frpc_linux_amd64 && \
+	chmod +x /usr/local/lib/python3.10/dist-packages/gradio/frpc_linux_amd64_v0.2
+
+RUN adduser --disabled-password --gecos '' user && \
+	mkdir -p /content/app /content/data
+
+COPY entrypoint.sh /content/
+RUN chown -R user:user /content
+
+WORKDIR /content
+USER user
+
+COPY --chown=user:user . /content/app
+RUN mv /content/app/models /content/app/models.org
+
+CMD [ "sh", "-c", "/content/entrypoint.sh ${CMDARGS}" ]

app.py

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+import os
+import ssl
+import sys
+
+print('[System ARGV] ' + str(sys.argv))
+
+root = os.path.dirname(os.path.abspath(__file__))
+sys.path.append(root)
+os.chdir(root)
+
+os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
+os.environ["PYTORCH_MPS_HIGH_WATERMARK_RATIO"] = "0.0"
+if "GRADIO_SERVER_PORT" not in os.environ:
+    os.environ["GRADIO_SERVER_PORT"] = "7865"
+
+ssl._create_default_https_context = ssl._create_unverified_context
+
+import platform
+import fooocus_version
+
+from build_launcher import build_launcher
+from modules.launch_util import is_installed, run, python, run_pip, requirements_met, delete_folder_content
+from modules.model_loader import load_file_from_url
+
+REINSTALL_ALL = False
+TRY_INSTALL_XFORMERS = False
+
+
+def prepare_environment():
+    torch_index_url = os.environ.get('TORCH_INDEX_URL', "https://download.pytorch.org/whl/cu121")
+    torch_command = os.environ.get('TORCH_COMMAND',
+                                   f"pip install torch==2.1.0 torchvision==0.16.0 --extra-index-url {torch_index_url}")
+    requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
+
+    print(f"Python {sys.version}")
+    print(f"Fooocus version: {fooocus_version.version}")
+
+    if REINSTALL_ALL or not is_installed("torch") or not is_installed("torchvision"):
+        run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True)
+
+    if TRY_INSTALL_XFORMERS:
+        if REINSTALL_ALL or not is_installed("xformers"):
+            xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.23')
+            if platform.system() == "Windows":
+                if platform.python_version().startswith("3.10"):
+                    run_pip(f"install -U -I --no-deps {xformers_package}", "xformers", live=True)
+                else:
+                    print("Installation of xformers is not supported in this version of Python.")
+                    print(
+                        "You can also check this and build manually: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers#building-xformers-on-windows-by-duckness")
+                    if not is_installed("xformers"):
+                        exit(0)
+            elif platform.system() == "Linux":
+                run_pip(f"install -U -I --no-deps {xformers_package}", "xformers")
+
+    if REINSTALL_ALL or not requirements_met(requirements_file):
+        run_pip(f"install -r \"{requirements_file}\"", "requirements")
+
+    return
+
+
+vae_approx_filenames = [
+    ('xlvaeapp.pth', 'https://huggingface.co/lllyasviel/misc/resolve/main/xlvaeapp.pth'),
+    ('vaeapp_sd15.pth', 'https://huggingface.co/lllyasviel/misc/resolve/main/vaeapp_sd15.pt'),
+    ('xl-to-v1_interposer-v4.0.safetensors',
+     'https://huggingface.co/mashb1t/misc/resolve/main/xl-to-v1_interposer-v4.0.safetensors')
+]
+
+
+def ini_args():
+    from args_manager import args
+    return args
+
+
+prepare_environment()
+build_launcher()
+args = ini_args()
+
+if args.gpu_device_id is not None:
+    os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_device_id)
+    print("Set device to:", args.gpu_device_id)
+
+if args.hf_mirror is not None : 
+    os.environ['HF_MIRROR'] = str(args.hf_mirror)
+    print("Set hf_mirror to:", args.hf_mirror)
+
+from modules import config
+from modules.hash_cache import init_cache
+os.environ["U2NET_HOME"] = config.path_inpaint
+
+os.environ['GRADIO_TEMP_DIR'] = config.temp_path
+
+if config.temp_path_cleanup_on_launch:
+    print(f'[Cleanup] Attempting to delete content of temp dir {config.temp_path}')
+    result = delete_folder_content(config.temp_path, '[Cleanup] ')
+    if result:
+        print("[Cleanup] Cleanup successful")
+    else:
+        print(f"[Cleanup] Failed to delete content of temp dir.")
+
+
+def download_models(default_model, previous_default_models, checkpoint_downloads, embeddings_downloads, lora_downloads, vae_downloads):
+    for file_name, url in vae_approx_filenames:
+        load_file_from_url(url=url, model_dir=config.path_vae_approx, file_name=file_name)
+
+    load_file_from_url(
+        url='https://huggingface.co/lllyasviel/misc/resolve/main/fooocus_expansion.bin',
+        model_dir=config.path_fooocus_expansion,
+        file_name='pytorch_model.bin'
+    )
+
+    if args.disable_preset_download:
+        print('Skipped model download.')
+        return default_model, checkpoint_downloads
+
+    if not args.always_download_new_model:
+        if not os.path.exists(os.path.join(config.paths_checkpoints[0], default_model)):
+            for alternative_model_name in previous_default_models:
+                if os.path.exists(os.path.join(config.paths_checkpoints[0], alternative_model_name)):
+                    print(f'You do not have [{default_model}] but you have [{alternative_model_name}].')
+                    print(f'Fooocus will use [{alternative_model_name}] to avoid downloading new models, '
+                          f'but you are not using the latest models.')
+                    print('Use --always-download-new-model to avoid fallback and always get new models.')
+                    checkpoint_downloads = {}
+                    default_model = alternative_model_name
+                    break
+
+    for file_name, url in checkpoint_downloads.items():
+        load_file_from_url(url=url, model_dir=config.paths_checkpoints[0], file_name=file_name)
+    for file_name, url in embeddings_downloads.items():
+        load_file_from_url(url=url, model_dir=config.path_embeddings, file_name=file_name)
+    for file_name, url in lora_downloads.items():
+        load_file_from_url(url=url, model_dir=config.paths_loras[0], file_name=file_name)
+    for file_name, url in vae_downloads.items():
+        load_file_from_url(url=url, model_dir=config.path_vae, file_name=file_name)
+
+    return default_model, checkpoint_downloads
+
+
+config.default_base_model_name, config.checkpoint_downloads = download_models(
+    config.default_base_model_name, config.previous_default_models, config.checkpoint_downloads,
+    config.embeddings_downloads, config.lora_downloads, config.vae_downloads)
+
+config.update_files()
+init_cache(config.model_filenames, config.paths_checkpoints, config.lora_filenames, config.paths_loras)
+
+from webui import *

requirements.txt

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+torchsde==0.2.6
+einops==0.8.0
+transformers==4.42.4
+safetensors==0.4.3
+accelerate==0.32.1
+pyyaml==6.0.1
+pillow==10.4.0
+scipy==1.14.0
+tqdm==4.66.4
+psutil==6.0.0
+pytorch_lightning==2.3.3
+omegaconf==2.3.0
+gradio==3.41.2
+pygit2==1.15.1
+opencv-contrib-python-headless==4.10.0.84
+httpx==0.27.0
+onnxruntime==1.18.1
+timm==1.0.7
+numpy==1.26.4
+tokenizers==0.19.1
+packaging==24.1
+rembg==2.0.57
+groundingdino-py==0.4.0
+segment_anything==1.0