Upload install_swarmui_lightning.py

Swarmui_Lightning/install_swarmui_lightning.py

@@ -0,0 +1,127 @@
+#!/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()