dagloop5 commited on
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1 Parent(s): faa17d2

Update app.py

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  1. app.py +3 -3
app.py CHANGED
@@ -257,7 +257,7 @@ class LTX23DistilledA2VPipeline(DistilledPipeline):
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  # Model repos
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  LTX_MODEL_REPO = "Lightricks/LTX-2.3"
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- GEMMA_REPO ="google/gemma-3-12b-it-qat-q4_0-unquantized"
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  # Download model checkpoints
@@ -270,8 +270,8 @@ spatial_upsampler_path = hf_hub_download(repo_id=LTX_MODEL_REPO, filename="ltx-2
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  gemma_root = snapshot_download(repo_id=GEMMA_REPO)
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  # >>> ADD: download and prepare LoRA descriptor
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- print("Downloading LoRA for this Space (dagloop5/LoRA:LoRA.safetensors)...")
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- lora_path = hf_hub_download(repo_id="dagloop5/LoRA", filename="LoRA.safetensors")
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  # Create a descriptor object that the LTX loader expects.
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  # initial strength is set to 1.0; we'll mutate `.strength` at runtime from the UI slider.
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  lora_descriptor = LoraPathStrengthAndSDOps(lora_path, 1.0, LTXV_LORA_COMFY_RENAMING_MAP)
 
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  # Model repos
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  LTX_MODEL_REPO = "Lightricks/LTX-2.3"
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+ GEMMA_REPO ="rahul7star/gemma-3-12b-it-heretic"
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  # Download model checkpoints
 
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  gemma_root = snapshot_download(repo_id=GEMMA_REPO)
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  # >>> ADD: download and prepare LoRA descriptor
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+ print("Downloading LoRA for this Space (dagloop5/LoRA:LoRA2.safetensors)...")
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+ lora_path = hf_hub_download(repo_id="dagloop5/LoRA", filename="LoRA2.safetensors")
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  # Create a descriptor object that the LTX loader expects.
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  # initial strength is set to 1.0; we'll mutate `.strength` at runtime from the UI slider.
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  lora_descriptor = LoraPathStrengthAndSDOps(lora_path, 1.0, LTXV_LORA_COMFY_RENAMING_MAP)