<div data-youtube-video="https://youtu.be/K6HI-iuMXeg"><iframe src="https://www.youtube.com/embed/K6HI-iuMXeg" width="853" height="480" allowfullscreen></iframe></div> 
 
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

MiniMax H3 VDN Hero Shot

<div data-youtube-video="https://youtu.be/K6HI-iuMXeg"></div> 
 
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

Files with SHA256: 633ee6c62fed0d0412b7e85d62744a9ddf5681b2c7562e6f2bdfcd36895f4bc8