Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -6,6 +6,45 @@ warnings.filterwarnings("ignore")
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from ui_manager import UIManager
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def launch_final_blend_sceneweaver(share: bool = True, debug: bool = False):
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"""Launch SceneWeaver Application"""
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@@ -13,6 +52,9 @@ def launch_final_blend_sceneweaver(share: bool = True, debug: bool = False):
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print("✨ AI-Powered Image Background Generation")
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try:
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# Test imports first
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print("🔍 Testing imports...")
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try:
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@@ -21,13 +63,11 @@ def launch_final_blend_sceneweaver(share: bool = True, debug: bool = False):
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ui = UIManager()
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print("✅ UIManager instance created successfully")
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# Note: On Hugging Face Spaces, models
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# within @spaces.GPU decorated functions to comply with ZeroGPU requirements
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if os.getenv('SPACE_ID'):
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print("\n🔧 Detected Hugging Face Spaces environment")
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print("⚡ Models
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print("
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print(" Subsequent requests: ~11 steps (245s)")
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print()
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# Launch UI
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@@ -88,5 +128,4 @@ def main():
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raise
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if __name__ == "__main__":
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main()
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-
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from ui_manager import UIManager
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def preload_models_to_cache():
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"""
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Pre-download models to HuggingFace cache before GPU allocation.
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This runs on CPU and avoids downloading during @spaces.GPU execution.
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"""
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if not os.getenv('SPACE_ID'):
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return # Skip if not on Spaces
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print("📦 Pre-downloading models to cache (CPU only, no GPU usage)...")
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try:
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from diffusers import ControlNetModel
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import torch
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# Pre-download ControlNet models to cache
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models_to_cache = [
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("diffusers/controlnet-canny-sdxl-1.0", "Canny ControlNet"),
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("diffusers/controlnet-depth-sdxl-1.0", "Depth ControlNet"),
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]
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for model_id, model_name in models_to_cache:
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print(f" ⬇️ Downloading {model_name} ({model_id})...")
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try:
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_ = ControlNetModel.from_pretrained(
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model_id,
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torch_dtype=torch.float16,
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use_safetensors=True,
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local_files_only=False # Allow download
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)
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print(f" ✅ {model_name} cached")
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except Exception as e:
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print(f" ⚠️ {model_name} download failed (will retry on-demand): {e}")
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print("✅ Model pre-caching complete")
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except Exception as e:
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print(f"⚠️ Model pre-caching failed: {e}")
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print(" Models will be downloaded on first use instead.")
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def launch_final_blend_sceneweaver(share: bool = True, debug: bool = False):
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"""Launch SceneWeaver Application"""
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print("✨ AI-Powered Image Background Generation")
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try:
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# Pre-download models on Spaces to avoid downloading during GPU time
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preload_models_to_cache()
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# Test imports first
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print("🔍 Testing imports...")
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try:
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ui = UIManager()
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print("✅ UIManager instance created successfully")
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# Note: On Hugging Face Spaces, models are pre-cached at startup
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if os.getenv('SPACE_ID'):
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print("\n🔧 Detected Hugging Face Spaces environment")
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print("⚡ Models pre-cached - ready for fast inference")
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print(" Expected inference time: ~300-350s (with cached models)")
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print()
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# Launch UI
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raise
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if __name__ == "__main__":
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main()
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