TestingRef2va / README.md

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  1. Update README.md

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  1. Cache the conditioner client with functools.cache, tidy comments

    multimodalart HF Staff
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  2. Let gradio_client forward the caller's ZeroGPU token itself instead of pinning one by hand

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  3. Bill the conditioner call to the requesting user's own ZeroGPU token, never an org token

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  4. Pay for the conditioner call with the first ZeroGPU identity that can: the caller's token, this Space's HF_TOKEN, then none

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  5. Fall back to an anonymous conditioner call when the forwarded ZeroGPU token is refused

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  6. Forward the caller's ZeroGPU token to the conditioner so one request bills as one request

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  7. Load the AoTI packages from the public multimodalart/minimax-h3-aoti, move the upsample toggle under the prompt

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  8. Migrate to canonical diffusers PR 14371 + public MiniMaxAI/MiniMax-H3 weights, add prompt upsampling toggle

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  1. Update README.md

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  2. The keyframe half moved to multimodalart/minimax-h3

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  3. Update README.md

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  4. Point at the public multimodalart/qwen3vl-conditioner, called without a token

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  5. A real person as the subject reference (Pexels, Oliver Dohrn)

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  6. Real speech for the audio example: LibriSpeech dev-clean 1462-170145-0022

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  7. Dynamic GPU duration from the packed sequence, cached examples, torchaudio note

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  8. Rename to MiniMax-H3 Reference; describe the tab order and image slots

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  9. Describe the reference tabs

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  10. MiniMax-H3 ref2va, the denoising half of the split deployment

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  11. initial commit

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