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Running on Zero
Running on Zero
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README.md
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title: LTX
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sdk: gradio
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sdk_version: 6.
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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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title: LTX-2.4 Prompt Enhancer
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emoji: ✨
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colorFrom: green
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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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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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# LTX-2.4 Prompt Enhancer
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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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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.
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