#!/usr/bin/env python3 """ install_swarmui_lightning.py Instala SwarmUI en Lightning.ai con ComfyUI backend, extensiones y dependencias. """ import os import subprocess from pathlib import Path BASE_DIR = Path("/teamspace/studios/this_studio").resolve() SWARM_DIR = BASE_DIR / "SwarmUI" COMFY_DIR = SWARM_DIR / "dlbackend" / "ComfyUI" NODES_DIR = COMFY_DIR / "custom_nodes" def _run(cmd: str, cwd: Path | None = None) -> None: """Ejecuta un comando shell.""" print(f"+ {cmd}") subprocess.run(cmd, shell=True, check=False, cwd=cwd) def wget(url: str, output: str | None = None, quiet: bool = False) -> None: """Descarga con wget.""" cmd = "wget" if quiet: cmd += " -q" if output: cmd += f" -O {output}" cmd += f" {url}" _run(cmd) def clone(repo: str, cwd: Path | None = None) -> None: """Clona un repositorio git.""" _run(f"git clone {repo}", cwd=cwd) def main() -> None: # 1. Sistema: .NET, aria2, ffmpeg _run("sudo apt-get update") _run("sudo apt-get install -y dotnet-sdk-8.0") _run("sudo apt install aria2 -q") _run("sudo apt install ffmpeg -y") # 2. Descargar on_start.sh lightning_dir = BASE_DIR / ".lightning_studio" lightning_dir.mkdir(parents=True, exist_ok=True) on_start = lightning_dir / "on_start.sh" if on_start.exists(): on_start.unlink() wget("https://huggingface.co/datasets/Mightys/Notebook_Scripts/resolve/main/Swarmui_Lightning/on_start.sh", output=str(on_start)) os.chdir(BASE_DIR) # 3. Clonar SwarmUI y descargas auxiliares if not SWARM_DIR.exists(): clone("https://github.com/mcmonkeyprojects/SwarmUI") wget("https://huggingface.co/datasets/Mightys/Notebook_Scripts/resolve/main/Swarmui_Lightning/gestor_swarm.py", quiet=True) wget("https://huggingface.co/datasets/Mightys/Notebook_Scripts/resolve/main/scripts/download_magic.py", quiet=True) wget("https://huggingface.co/datasets/Mightys/Notebook_Scripts/resolve/main/libmimalloc.so.2.1", quiet=True) wget("https://huggingface.co/datasets/Mightys/Notebook_Scripts/resolve/main/Swarmui_Lightning/symb.py", quiet=True) # 4. Preparar directorios y clonar ComfyUI _run("sudo apt install git python3-pip -y") (SWARM_DIR / "dlbackend").mkdir(parents=True, exist_ok=True) os.chdir(SWARM_DIR / "dlbackend") if not COMFY_DIR.exists(): clone("https://github.com/comfyanonymous/ComfyUI.git") # 5. Dependencias de ComfyUI os.chdir(COMFY_DIR) _run("uv pip install torch==2.9.1 torchvision==0.24.1 xformers==0.0.33.post2 triton==3.5.1 " "--index-url https://download.pytorch.org/whl/cu128 --no-progress") _run("uv pip install rembg ultralytics==8.3.216 onnxruntime gdown pickleshare insightface clip numpy==2.3.0 " "--no-progress") _run("uv pip install -r requirements.txt --no-progress") # 6. SageAttention wheel = "sageattention-2.1.2-cp312-cp312-linux_x86_64.whl" wget("https://huggingface.co/datasets/WhiteAiZ/T4_SageAttention2_For_Google_Colab/resolve/main/python%203.12/" + wheel) _run(f"uv pip install {wheel}") # 7. Custom nodes de ComfyUI NODES_DIR.mkdir(parents=True, exist_ok=True) os.chdir(NODES_DIR) clone("https://github.com/Comfy-Org/ComfyUI-Manager.git") clone("https://github.com/crystian/ComfyUI-Crystools.git") clone("https://github.com/city96/ComfyUI-GGUF.git") clone("https://github.com/rgthree/rgthree-comfy.git") # 8. Instalar requirements de cada nodo nodes_reqs = [ "ComfyUI-Manager", "ComfyUI-Crystools", "ComfyUI-GGUF", "rgthree-comfy", ] for node in nodes_reqs: node_path = NODES_DIR / node if (node_path / "requirements.txt").exists(): os.chdir(node_path) _run("uv pip install -r requirements.txt --no-progress") # 9. Limpieza y enlaces simbólicos _run("rm -rf /teamspace/studios/this_studio/.cache") (SWARM_DIR / "Models").mkdir(parents=True, exist_ok=True) os.chdir(BASE_DIR) # Ejecutar symb.py si existe symb_path = BASE_DIR / "symb.py" if symb_path.exists(): _run(f"python {symb_path}") # Mensaje final os.system("clear" if os.name != "nt" else "cls") print("\n" + "=" * 50) print("🎉 Instalación completada") print("=" * 50) if __name__ == "__main__": main()