Update app.py

app.py

@@ -1,7 +1,128 @@
-import gradio as gr
+import os
+import sys
+import ssl
 
-def greet(name):
-    return "Hello " + name + "!!"
+print('[System ARGV] ' + str(sys.argv))
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+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
+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==0.0.20')
+            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-v3.1.safetensors',
+     'https://huggingface.co/lllyasviel/misc/resolve/main/xl-to-v1_interposer-v3.1.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)
+
+
+from modules import config
+
+def download_models():
+    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
+
+    if not args.always_download_new_model:
+        if not os.path.exists(os.path.join(config.path_checkpoints, config.default_base_model_name)):
+            for alternative_model_name in config.previous_default_models:
+                if os.path.exists(os.path.join(config.path_checkpoints, alternative_model_name)):
+                    print(f'You do not have [{config.default_base_model_name}] 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 latest models.')
+                    print('Use --always-download-new-model to avoid fallback and always get new models.')
+                    config.checkpoint_downloads = {}
+                    config.default_base_model_name = alternative_model_name
+                    break
+
+    for file_name, url in config.checkpoint_downloads.items():
+        load_file_from_url(url=url, model_dir=config.path_checkpoints, file_name=file_name)
+    for file_name, url in config.embeddings_downloads.items():
+        load_file_from_url(url=url, model_dir=config.path_embeddings, file_name=file_name)
+    for file_name, url in config.lora_downloads.items():
+        load_file_from_url(url=url, model_dir=config.path_loras, file_name=file_name)
+
+    return
+
+
+download_models()
+
+
+from webui import *