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Update app.py
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app.py
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@@ -107,7 +107,9 @@ print("=" * 80)
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print("Downloading LTX-2.3 distilled model + Gemma + IC-LoRAs...")
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print("=" * 80)
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checkpoint_path = hf_hub_download(repo_id=LTX_MODEL_REPO, filename="ltx-2.3-22b-distilled.safetensors")
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spatial_upsampler_path = hf_hub_download(repo_id=LTX_MODEL_REPO, filename="ltx-2.3-spatial-upscaler-x2-1.0.safetensors")
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gemma_root = snapshot_download(repo_id=GEMMA_REPO)
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@@ -143,9 +145,9 @@ def build_pipeline(lora_name: str) -> ICLoraPipeline:
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spatial_upsampler_path=spatial_upsampler_path,
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gemma_root=gemma_root,
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# loras=[lora],
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quantization=QuantizationPolicy.fp8_scaled_mm()
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)
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return pipe
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print("Downloading LTX-2.3 distilled model + Gemma + IC-LoRAs...")
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print("=" * 80)
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# checkpoint_path = hf_hub_download(repo_id=LTX_MODEL_REPO, filename="ltx-2.3-22b-distilled.safetensors")
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checkpoint_path = hf_hub_download(repo_id="linoyts/ltx-2.3-22b-distilled-motion-track-control-fused", filename="ltx-2.3-22b-distilled-motion-track-control-fused.safetensors")
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spatial_upsampler_path = hf_hub_download(repo_id=LTX_MODEL_REPO, filename="ltx-2.3-spatial-upscaler-x2-1.0.safetensors")
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gemma_root = snapshot_download(repo_id=GEMMA_REPO)
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spatial_upsampler_path=spatial_upsampler_path,
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gemma_root=gemma_root,
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# loras=[lora],
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loras=[],
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quantization=QuantizationPolicy.fp8_cast(),
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#quantization=QuantizationPolicy.fp8_scaled_mm()
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)
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return pipe
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