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Concise 2-sentence description (model first, then inputs)

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  1. app.py +3 -4
app.py CHANGED
@@ -179,10 +179,9 @@ def generate(subject, scene, soundscape, music, raw_prompt, img1, img2, img3,
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  HEADER = """
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  <div class="fh-header">
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  <h1>FastH3 路 <span class="fh-accent">OmniRef</span> reference-to-video</h1>
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- <p>Give it one or more <b>reference images</b> (and, optionally, a <b>reference audio</b> clip), then
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- describe the <b>subject</b> and the <b>scene</b>. The FastVideo FastH3 OmniRef student generates a short
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- <b>video with a matching soundtrack</b> in eight fused forwards, keeping your reference subject. Your
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- words are assembled into the model's six-section H3 prompt format automatically.</p>
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  <div class="fh-pills">
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  <a href="https://huggingface.co/FastVideo/FastH3-OmniRef-NVFP4-QAD" target="_blank">FastH3 OmniRef</a>
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  <a href="https://github.com/hao-ai-lab/FastVideo" target="_blank">FastVideo</a>
 
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  HEADER = """
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  <div class="fh-header">
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  <h1>FastH3 路 <span class="fh-accent">OmniRef</span> reference-to-video</h1>
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+ <p>FastH3 OmniRef is FastVideo's 8-step reference-to-video student that turns reference images plus a
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+ prompt into a short clip with a matching soundtrack. Add one or more reference images (and optional audio),
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+ describe the subject and scene, and the prompt is assembled into the model's six-section H3 format for you.</p>
 
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  <div class="fh-pills">
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  <a href="https://huggingface.co/FastVideo/FastH3-OmniRef-NVFP4-QAD" target="_blank">FastH3 OmniRef</a>
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  <a href="https://github.com/hao-ai-lab/FastVideo" target="_blank">FastVideo</a>