Update Swarmui_Kaggle/install_swarmui.py

Swarmui_Kaggle/install_swarmui.py

@@ -1,174 +1,175 @@
-#!/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__":
+#!/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")
+    clone("https://github.com/mcmonkeyprojects/sd-dynamic-thresholding")
+
+    # 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()