Upload ComfyUI_Colab.py

ComfyUI_Colab.py

@@ -0,0 +1,207 @@
+import os
+import sys
+import subprocess
+import zipfile
+from huggingface_hub import hf_hub_download
+from huggingface_hub.utils import (
+    RepositoryNotFoundError,
+    EntryNotFoundError,
+    HfHubHTTPError,
+    LocalEntryNotFoundError
+)
+
+def run_command(command):
+    """Run a shell command and print its output"""
+    process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, universal_newlines=True)
+    for line in process.stdout:
+        print(line, end='')
+    process.wait()
+    return process.returncode
+
+def install_comfyui():
+    """First-time installation of ComfyUI and models to Google Drive"""
+    # Mount Google Drive
+    print("Mounting Google Drive...")
+    from google.colab import drive
+    drive.mount('/content/drive')
+    
+    # Create ComfyUI directory in Google Drive
+    COMFYUI_DRIVE_PATH = "/content/drive/MyDrive/ComfyUI"
+    os.makedirs(COMFYUI_DRIVE_PATH, exist_ok=True)
+    
+    # Clone ComfyUI repository
+    print("\nCloning ComfyUI repository...")
+    run_command("git clone https://github.com/comfyanonymous/ComfyUI /content/ComfyUI")
+    
+    # Create and activate virtual environment
+    print("\nSetting up virtual environment...")
+    run_command("cd /content/ComfyUI && python -m venv venv")
+    run_command("source /content/ComfyUI/venv/bin/activate && pip install --upgrade pip")
+    
+    # Install PyTorch and dependencies
+    print("\nInstalling PyTorch and dependencies...")
+    run_command("source /content/ComfyUI/venv/bin/activate && pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121")
+    
+    # Install additional packages
+    print("\nInstalling additional packages...")
+    packages = [
+        "insightface", "onnxruntime-gpu", "wheel", "setuptools", "packaging", "ninja",
+        "accelerate", "diffusers", "transformers", "mediapipe>=0.10.8", "huggingface-hub",
+        "omegaconf", "einops", "opencv-python", "face-alignment", "decord",
+        "ffmpeg-python>=0.2.0", "safetensors", "soundfile", "pytorch-lightning",
+        "deepspeed", "flash-attn", "triton==3.2.0"
+    ]
+    
+    for package in packages:
+        run_command(f"source /content/ComfyUI/venv/bin/activate && pip install {package}")
+    
+    # Install requirements.txt
+    run_command("source /content/ComfyUI/venv/bin/activate && pip install -r /content/ComfyUI/requirements.txt")
+    
+    # Install SageAttention
+    print("\nInstalling SageAttention...")
+    run_command("cd /content && git clone https://github.com/thu-ml/SageAttention")
+    run_command("cd /content/SageAttention && export MAX_JOBS=4 && python setup.py install")
+    
+    # Create model directories
+    print("\nCreating model directories...")
+    model_dirs = ["checkpoints", "controlnet", "clip", "vae", "loras"]
+    for dir_name in model_dirs:
+        os.makedirs(os.path.join(COMFYUI_DRIVE_PATH, "models", dir_name), exist_ok=True)
+    
+    # Download models
+    print("\nDownloading models...")
+    BASE_DOWNLOAD_DIR = os.path.join(COMFYUI_DRIVE_PATH, "models")
+    
+    def download_and_process_item(repo_id, local_dir, filename, extract_and_delete=False, repo_type=None):
+        try:
+            print(f"Downloading {filename}...")
+            file_path = hf_hub_download(
+                repo_id=repo_id,
+                filename=filename,
+                repo_type=repo_type,
+                local_dir=local_dir
+            )
+            
+            if extract_and_delete and filename.endswith('.zip'):
+                print(f"Extracting {filename}...")
+                with zipfile.ZipFile(file_path, 'r') as zip_ref:
+                    zip_ref.extractall(local_dir)
+                os.remove(file_path)
+                print(f"Extracted and removed {filename}")
+            
+            return True
+        except Exception as e:
+            print(f"Error downloading {filename}: {str(e)}")
+            return False
+    
+    # Download tasks
+    flux_dev_tasks = [
+        # ControlNet models
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "Flux-Union-Pro2.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "controlnet")},
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "Flux1-controlnet-upscaler-Jasperai-fp8.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "controlnet")},
+        # CLIP models
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "clip_l.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "clip")},
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "clip")},
+        # VAE models
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "ae.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "vae")},
+        # LoRA models
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "comfyui_portrait_lora64.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "loras")},
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "Maya_Lora_v1_000002500.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "loras")},
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "more_details.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "loras")},
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "FameGrid_Bold_SDXL_V1.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "loras")},
+        # Checkpoints
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "epicrealism_naturalSinRC1VAE.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "checkpoints")},
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "epicrealism_pureEvolutionV3.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "checkpoints")},
+        {"repo_id": "simwalo/FluxDevFP8", "repo_type": "dataset", "filename": "epicrealismXL_vxviLastfameRealism.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "checkpoints")}
+    ]
+    
+    wanskyreels_tasks = [
+        {"repo_id": "simwalo/WanSkyReelsFP8", "repo_type": "dataset", "filename": "wan2.1-fp8.safetensors", "local_dir": os.path.join(BASE_DOWNLOAD_DIR, "checkpoints")}
+    ]
+    
+    custom_nodes_tasks = [
+        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "PersonMaskUltraV2.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
+        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "insightface.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
+        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "liveportrait.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
+        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "rembg.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
+        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "LLM.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
+        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "sams.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True},
+        {"repo_id": "simwalo/custom_nodes", "repo_type": "dataset", "filename": "ComfyUI-LatentSyncWrapper.zip", "local_dir": os.path.join(COMFYUI_DRIVE_PATH, "custom_nodes"), "extract_and_delete": True}
+    ]
+    
+    # Download all models
+    for task in flux_dev_tasks + wanskyreels_tasks + custom_nodes_tasks:
+        download_and_process_item(**task)
+    
+    # Copy ComfyUI to Google Drive
+    print("\nCopying ComfyUI to Google Drive...")
+    run_command(f"cp -r /content/ComfyUI/* {COMFYUI_DRIVE_PATH}/")
+    
+    print("\nInstallation complete! You can now use the startup function to run ComfyUI.")
+
+def start_comfyui():
+    """Start ComfyUI using the installation from Google Drive"""
+    # Mount Google Drive
+    print("Mounting Google Drive...")
+    from google.colab import drive
+    drive.mount('/content/drive')
+    
+    # Set paths
+    COMFYUI_DRIVE_PATH = "/content/drive/MyDrive/ComfyUI"
+    COMFYUI_LOCAL_PATH = "/content/ComfyUI"
+    
+    # Create local directory
+    os.makedirs(COMFYUI_LOCAL_PATH, exist_ok=True)
+    
+    # Copy ComfyUI from Drive to local
+    print("\nCopying ComfyUI from Google Drive...")
+    run_command(f"cp -r {COMFYUI_DRIVE_PATH}/* {COMFYUI_LOCAL_PATH}/")
+    
+    # Create and activate virtual environment
+    print("\nSetting up virtual environment...")
+    run_command(f"cd {COMFYUI_LOCAL_PATH} && python -m venv venv")
+    run_command(f"source {COMFYUI_LOCAL_PATH}/venv/bin/activate && pip install --upgrade pip")
+    
+    # Install PyTorch and dependencies
+    print("\nInstalling PyTorch and dependencies...")
+    run_command(f"source {COMFYUI_LOCAL_PATH}/venv/bin/activate && pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121")
+    
+    # Install additional packages
+    print("\nInstalling additional packages...")
+    packages = [
+        "insightface", "onnxruntime-gpu", "wheel", "setuptools", "packaging", "ninja",
+        "accelerate", "diffusers", "transformers", "mediapipe>=0.10.8", "huggingface-hub",
+        "omegaconf", "einops", "opencv-python", "face-alignment", "decord",
+        "ffmpeg-python>=0.2.0", "safetensors", "soundfile", "pytorch-lightning",
+        "deepspeed", "flash-attn", "triton==3.2.0"
+    ]
+    
+    for package in packages:
+        run_command(f"source {COMFYUI_LOCAL_PATH}/venv/bin/activate && pip install {package}")
+    
+    # Install requirements.txt
+    run_command(f"source {COMFYUI_LOCAL_PATH}/venv/bin/activate && pip install -r {COMFYUI_LOCAL_PATH}/requirements.txt")
+    
+    # Install SageAttention
+    print("\nInstalling SageAttention...")
+    run_command("cd /content && git clone https://github.com/thu-ml/SageAttention")
+    run_command("cd /content/SageAttention && export MAX_JOBS=4 && python setup.py install")
+    
+    # Start ComfyUI
+    print("\nStarting ComfyUI...")
+    run_command(f"cd {COMFYUI_LOCAL_PATH} && source venv/bin/activate && python main.py --fast --use-pytorch-cross-attention --listen")
+
+if __name__ == "__main__":
+    print("ComfyUI Google Colab Helper")
+    print("1. First-time installation (saves to Google Drive)")
+    print("2. Quick startup (uses existing installation from Google Drive)")
+    
+    choice = input("Enter your choice (1 or 2): ")
+    
+    if choice == "1":
+        install_comfyui()
+    elif choice == "2":
+        start_comfyui()
+    else:
+        print("Invalid choice. Please enter 1 or 2.")