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Upload README.md with huggingface_hub

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  ---
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- title: LTX 2.4 Prompt Enhancer
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- emoji: 🐨
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- colorFrom: indigo
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  colorTo: blue
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  sdk: gradio
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- sdk_version: 6.20.0
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- python_version: '3.12'
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  app_file: app.py
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  pinned: false
 
 
 
 
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
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  ---
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+ title: LTX-2.4 Prompt Enhancer
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+ emoji:
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+ colorFrom: green
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  colorTo: blue
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  sdk: gradio
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+ sdk_version: 6.13.0
 
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  app_file: app.py
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  pinned: false
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+ hardware: zero-a10g
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+ short_description: Gemma-4 prompt enhancer for LTX-2.4 (called by the demos)
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+ models:
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+ - google/gemma-4-E2B-it
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  ---
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+ # LTX-2.4 Prompt Enhancer
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+
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+ Standalone Gemma-4 (`google/gemma-4-E2B-it`) prompt enhancer for LTX-2.4. Expands a short user
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+ prompt into a detailed audio-visual caption in the model's training-caption style, exactly
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+ replicating `diffusers`' `LTX2Pipeline.enhance_prompt` (system prompt by mode, greedy decoding
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+ with `no_repeat_ngram_size=3`).
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+
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+ Kept as a separate ZeroGPU Space so the enhancer (and its `torchvision` dependency) stays off the
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+ main 22B video Space's memory budget — the LTX-2.4 video demos call this over `gradio_client`.
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+ Add a first-frame image to enhance for image-to-video.