Update app.py
Browse files
app.py
CHANGED
@@ -12,31 +12,31 @@ from huggingface_hub import hf_hub_download
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# 1. Define Hugging Face dataset + weights
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# =========================================
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HF_DATASET_REPO = "roll-ai/FloVD-weights" # your dataset repo on HF
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WEIGHT_FILES = {
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}
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def download_weights():
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download_weights()
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# =========================================
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# 2. Import the FloVD generation pipeline
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# 1. Define Hugging Face dataset + weights
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# =========================================
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# HF_DATASET_REPO = "roll-ai/FloVD-weights" # your dataset repo on HF
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# WEIGHT_FILES = {
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# "ckpt/FVSM/FloVD_FVSM_Controlnet.pt": "FVSM/FloVD_FVSM_Controlnet.pt",
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# "ckpt/OMSM/selected_blocks.safetensors": "OMSM/selected_blocks.safetensors",
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# "ckpt/OMSM/pytorch_lora_weights.safetensors": "OMSM/pytorch_lora_weights.safetensors",
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# "ckpt/others/depth_anything_v2_metric_hypersim_vitb.pth": "others/depth_anything_v2_metric_hypersim_vitb.pth"
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# }
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# def download_weights():
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# print("π Downloading model weights via huggingface_hub...")
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# for hf_path, local_rel_path in WEIGHT_FILES.items():
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# local_path = Path("ckpt") / local_rel_path
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# if not local_path.exists():
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# print(f"π₯ Downloading {hf_path}")
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# hf_hub_download(
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# repo_id=HF_DATASET_REPO,
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# repo_type="dataset",
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# filename=hf_path,
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# local_dir="./"
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# )
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# else:
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# print(f"β
Already exists: {local_path}")
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# download_weights()
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# =========================================
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# 2. Import the FloVD generation pipeline
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