#!/usr/bin/env python3 """ install_swarmui.py Instala SwarmUI en Kaggle con ComfyUI backend, extensiones, modelos y configuraciones. """ import os import subprocess from pathlib import Path WORK_DIR = Path("/kaggle/working").resolve() SWARM_DIR = WORK_DIR / "SwarmUI" COMFY_DIR = SWARM_DIR / "dlbackend" / "ComfyUI" 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, show_progress: bool = False) -> None: """Descarga con wget.""" cmd = "wget" if quiet: cmd += " -q" if show_progress: cmd += " --show-progress" if output: cmd += f" -O {output}" cmd += f" {url}" _run(cmd) def aria2c(url: str, output: str, cwd: Path | None = None) -> None: """Descarga con aria2c.""" cmd = (f'aria2c --console-log-level=error -c -x 16 -s 16 -k 1M ' f'"{url}" -o {output}') _run(cmd, cwd=cwd) def clone(repo: str, cwd: Path | None = None) -> None: """Clona un repositorio git.""" _run(f"git clone {repo}", cwd=cwd) def main() -> None: os.chdir(WORK_DIR) # 1. Descargas iniciales y clonar SwarmUI wget("https://huggingface.co/datasets/Mightys/SwarmuiColab/resolve/main/scripts/download_magic.py") if not SWARM_DIR.exists(): clone("https://github.com/mcmonkeyprojects/SwarmUI") (SWARM_DIR / "Models").mkdir(parents=True, exist_ok=True) (SWARM_DIR / "dlbackend").mkdir(parents=True, exist_ok=True) _run("pip install aria2 gdown") # 2. Configuración de SwarmUI (Data) data_dir = SWARM_DIR / "Data" data_dir.mkdir(parents=True, exist_ok=True) os.chdir(data_dir) wget("https://huggingface.co/datasets/Mightys/Notebook_Scripts/resolve/main/Swarmui_Kaggle/Settings.fds", quiet=True, show_progress=True) wget("https://huggingface.co/datasets/Mightys/Notebook_Scripts/resolve/main/Swarmui_Kaggle/Backends.fds", quiet=True, show_progress=True) wget("https://huggingface.co/datasets/Mightys/Notebook_Scripts/resolve/main/Swarmui_Kaggle/Users.ldb", quiet=True, show_progress=True) # Autocompletions auto_dir = data_dir / "Autocompletions" auto_dir.mkdir(parents=True, exist_ok=True) os.chdir(auto_dir) wget("https://huggingface.co/datasets/Mightys/SwarmuiColab/resolve/main/Data/Autocompletions/danbooru_e621_merged.csv", quiet=True, show_progress=True) # 3. Instalar .NET os.chdir(WORK_DIR) wget("https://dot.net/v1/dotnet-install.sh", output="dotnet-install.sh") _run("chmod +x dotnet-install.sh") _run("./dotnet-install.sh --channel 8.0") # 4. Instalar Cloudflare tunnel wget("https://github.com/cloudflare/cloudflared/releases/download/2024.8.2/cloudflared-linux-amd64.deb", quiet=True, show_progress=True) _run("dpkg -i cloudflared-linux-amd64.deb") # 5. Clonar ComfyUI os.chdir(SWARM_DIR / "dlbackend") if not COMFY_DIR.exists(): clone("https://github.com/comfyanonymous/ComfyUI.git") else: _run("git pull", cwd=COMFY_DIR) # 6. Dependencias de ComfyUI os.chdir(COMFY_DIR) _run("uv pip install -r requirements.txt --no-progress") _run("uv pip install torch==2.9.1 torchvision==0.24.1 torchaudio xformers==0.0.33.post2 triton==3.5.1 " "--index-url https://download.pytorch.org/whl/cu128 --no-progress") _run("uv pip install ultralytics==8.3.216 onnxruntime gdown pickleshare insightface clip rembg numpy==2.3.0 " "--no-progress") # 7. Extensiones de SwarmUI ext_dir = SWARM_DIR / "src" / "Extensions" ext_dir.mkdir(parents=True, exist_ok=True) os.chdir(ext_dir) clone("https://github.com/jtreminio/SwarmUI-PromptBuilderExtension.git") clone("https://github.com/yoinked-h/MaHiRon-SwarmUI.git") # 8. SageAttention os.chdir(WORK_DIR) wheel = "sageattention-2.1.2-cp312-cp312-linux_x86_64.whl" wget(f"https://huggingface.co/datasets/WhiteAiZ/T4_SageAttention2_For_Google_Colab/resolve/main/python%203.12/{wheel}") _run(f"uv pip install {wheel}") # 9. Wildcards wild_dir = SWARM_DIR / "Data" / "Wildcards" wild_dir.mkdir(parents=True, exist_ok=True) os.chdir(wild_dir) aria2c("https://huggingface.co/datasets/Mightys/Notebook_Scripts/resolve/main/Wildcards/artist_tags_danbooru5000.txt", "5000-booru-artist.txt") # 10. Modelos YOLO (segmentación/adetailers) yolo_dir = SWARM_DIR / "Models" / "yolov8" yolo_dir.mkdir(parents=True, exist_ok=True) os.chdir(yolo_dir) yolo_models = [ ("https://huggingface.co/Anzhc/Anzhcs_YOLOs/resolve/main/Anzhc%20Eyes%20-seg-hd.pt", "Anzhc_Eyes-seg-hd.pt"), ("https://huggingface.co/Anzhc/Anzhcs_YOLOs/resolve/main/Anzhc%20Face%20seg%20640%20v3%20y11n.pt", "Anzhc_Face_seg_v3_y11n.pt"), ("https://huggingface.co/Anzhc/Anzhcs_YOLOs/resolve/main/Anzhc%20Breasts%20Seg%20v1%201024n.pt", "Anzhc_Breasts_Seg_v1_1024n.pt"), ("https://huggingface.co/Anzhc/Anzhcs_YOLOs/resolve/main/Anzhc%20HeadHair%20seg%20y8n.pt", "Anzhc_HeadHair_seg_y8n.pt"), ("https://huggingface.co/Nudimmud/adetailers/resolve/main/assdetailer-seg.pt", "assdetailer.pt"), ("https://huggingface.co/Bingsu/adetailer/resolve/main/face_yolov8n.pt", "face_yolov8n.pt"), ("https://huggingface.co/Bingsu/adetailer/resolve/main/face_yolov8m.pt", "face_yolov8m.pt"), ("https://huggingface.co/Bingsu/adetailer/resolve/main/hand_yolov8n.pt", "hand_yolov8n.pt"), ("https://huggingface.co/Bingsu/adetailer/resolve/main/hand_yolov8m.pt", "hand_yolov8m.pt"), ] for url, out in yolo_models: aria2c(url, out) # 11. VAE vae_dir = SWARM_DIR / "Models" / "VAE" vae_dir.mkdir(parents=True, exist_ok=True) os.chdir(vae_dir) # Nota: %download es una magic de IPython, aquí usamos wget directamente wget("https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/resolve/main/sdxl_vae.safetensors", quiet=True, show_progress=True) # 12. Gradio tunnel gradio_script = SWARM_DIR / "gradio-tunnel.py" if not gradio_script.exists(): wget("https://huggingface.co/datasets/Mightys/Notebook_Scripts/resolve/main/scripts/gradio-tunnel.py", output=str(gradio_script)) # 13. Parche de memoria (libmimalloc) print("🛠️ Instalando parche de memoria (libmimalloc.so.2.1)...") mimalloc_path = WORK_DIR / "libmimalloc.so.2.1" if not mimalloc_path.exists(): wget("https://huggingface.co/datasets/Mightys/Notebook_Scripts/resolve/main/libmimalloc.so.2.1", output=str(mimalloc_path)) print("✅ Parche descargado.") else: print("✅ Parche listo.") _run("pip install -q requests") # Limpiar y mensaje final os.system("clear" if os.name != "nt" else "cls") print("\n" + "=" * 50) print("🎉 Instalación completada") print("=" * 50) if __name__ == "__main__": main()