New node for audio-guided video prompts (LTX): takes a ComfyUI AUDIO clip + free-text motion notes and outputs (1) a rendered energy-envelope IMAGE with beat/segment markers so the vision model can see the audio shape, and (2) an audio_summary STRING with duration, tempo/beats (librosa optional), per-segment energy + 8n+1-snapped frame counts + stage hints + the notes. Wire waveform_image -> Judge.reference_image and audio_summary -> Judge.user_prompt (chat mode, json_output) for beat-aligned LTX JSON. librosa optional (energy envelope + segments work without it). Registered in __init__; README workflow added. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
16 lines
627 B
Plaintext
16 lines
627 B
Plaintext
# Qwen3-VL needs transformers >= 4.57. The newer natively-multimodal Qwen3.5/3.6
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# abliterated models need a recent transformers exposing AutoModelForMultimodalLM
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# (upgrade transformers if a Qwen3.5/3.6 model fails to load).
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transformers>=4.57.0
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huggingface_hub # auto-download of models by repo id / alias
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torch
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pillow
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numpy
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# for precision=nf4 (4-bit) — needed to run the 30B-A3B abliterated judge on 32 GB:
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bitsandbytes
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# optional, for the Audio Prompt Guide node — adds tempo (BPM) + beat times
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# (energy envelope + segments work without it):
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# librosa
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# optional, for faster attention on the RTX 5090:
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# flash-attn
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