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MiniMax H3 VDN Hero Shot

Updated: Oct 7, 2026

comfyuiworkflowsworkflow

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01_minimax-h3-vdn-hero-shot.json

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Type
Workflows
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23

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Published

Oct 7, 2026

Base Model

MiniMax H3

Hash
AutoV2
A378454042
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Generation, training and LoRA distribution on Civitai are covered by Civitai’s own license agreement with MiniMax. If you download these weights and run them yourself, your use is instead governed by the MiniMax H3 Community License Agreement, whose grant excludes the European Union, the United Kingdom, the Republic of Korea and the United States of America.

MiniMax H3

01_minimax-h3-vdn-hero-shot.png


Main features:
- MiniMax H3 VDN workflow for high-quality second-pass product showcase hero shots.
- Uses the OpenVDN/vdn-minimax-h3 model path with a low 8-NFE pass and a high 4-NFE refinement pass.
- Includes learned latent 2x upscaling toward approximately 1920x1088 output.
- Uses separate video and audio VAE components and preserves or audits generated audio according to the connected H3 nodes.
- Supports image references, a source video input, frame/FPS inspection, trimming, and an approximately 1080p 24 fps AV output.

Suggested workflow:
1. Load the source video and reference images required by the graph.
2. Run the low-resolution VDN pass, then apply the learned latent upscale.
3. Run the high-quality VDN refinement pass and the connected audio conditioning/reconciliation chain.
4. Review the decoded preview and save the final AV result.

Dependencies and limitations:
- Requires the MiniMax H3 ComfyUI custom nodes and the referenced H3 VAE, CLIP, UNET, and latent-upscaler files.
- The graph is configured around the supplied model filenames and a 24 fps, approximately 1080p output path; changing these assets may require node adjustments.
- Any bypass or side branch not connected to the final output is not treated as an enabled feature.

RunningHub:
https://www.runninghub.ai/zh-cn/post/2107778471853326337?inviteCode=rh-v1111
Bilibili:
https://www.bilibili.com/video/BV1AsHy6nEPR/
RunningHub registration:
https://www.runninghub.ai/?inviteCode=rh-v1111