Notebook_Scripts / Swarmui_Lightning /install_swarmui_lightning.py
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Upload install_swarmui_lightning.py
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#!/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 simb贸licos
_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("馃帀 Instalaci贸n completada")
print("=" * 50)
if __name__ == "__main__":
main()