<div data-youtube-video="https://youtu.be/RhszI-72alU"><iframe src="https://www.youtube.com/embed/RhszI-72alU" width="853" height="480" allowfullscreen></iframe></div> 
 
This workflow combines a character image, a reference video, and a matching video audio track. It is intended for replacing the original visual identity while retaining the useful motion, staging, and sound relationship from the reference sequence. 
 
The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and video output chain shown in the JSON. 
 
Main features: 
 
- MiniMax H3 FL2VA diffusion model with connected video and audio VAE routes 
- MiniMaxH3ReferenceToVideo conditioning for image, video, and paired audio references 
- Character image controls identity and visual design 
- Reference video controls movement, camera blocking, and scene rhythm 
- Paired audio keeps timing and sound behavior aligned with the reference sequence 
- Connected 9:16 portrait widescreen resolution at the 0.4 megapixel setting 
- SaveVideo output preserves the generated visual and audio result 
 
Suggested workflow: 
 
Give each source a single role: image for identity, video for motion and staging, and its paired audio for timing and sound behavior. Explicitly state what must be replaced and what may be retained. Test with a short sequence before adding complex camera choreography. 
 
⚡ RunningHub Workflow 
 
Try the workflow online right now - no installation required. 
👉 Workflow: https://www.runninghub.ai/post/2084608990058733569?inviteCode=rh-v1111 
 
If the results meet your expectations, you can later deploy it locally for customization. 
 
🎁 Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! 
 
📵 Bilibili Updates (Mainland China &amp; Asia-Pacific) 
 
If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. 
📵 Bilibili Video: https://www.bilibili.com/video/BV1MrMk69Ejk/ 
 
☕ Support Me on Ko-fi 
 
If you find my content helpful and want to support future creations, you can buy me a coffee. 
Every bit of support helps me keep creating. 
👉 Ko-fi: https://ko-fi.com/aiksk 
 
📬 Business Contact 
 
For collaboration or inquiries, please contact aiksk95 on WeChat. 
 
⚡ 打开下方链接即可在线体验，无需安装。 
👉 工作流：https://www.runninghub.ai/post/2084608990058733569?inviteCode=rh-v1111 
 
如果你觉得效果理想，也可以在本地进行自定义部署。 
 
🎁 粉丝福利：注册即可领取 1000 积分，每日登录再领 100 积分，体验 4090 与 48 GB 超大显存性能。 
 
📵 B站视频（中国大陆及亚洲地区） 
 
如果你在中国大陆或亚洲地区，可以通过下面的视频查看工作流的实测效果与创作思路。 
📵 B站视频：https://www.bilibili.com/video/BV1MrMk69Ejk/ 
 
我会在夸克网盘持续更新模型资源： 
👉 https://pan.quark.cn/s/07bdc81784ce

MiniMax H3 Character-Video-Audio R2V

<div data-youtube-video="https://youtu.be/RhszI-72alU"></div> 
 
This workflow combines a character image, a reference video, and a matching video audio track. It is intended for replacing the original visual identity while retaining the useful motion, staging, and sound relationship from the reference sequence. 
 
The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and video output chain shown in the JSON. 
 
Main features: 
 
- MiniMax H3 FL2VA diffusion model with connected video and audio VAE routes 
- MiniMaxH3ReferenceToVideo conditioning for image, video, and paired audio references 
- Character image controls identity and visual design 
- Reference video controls movement, camera blocking, and scene rhythm 
- Paired audio keeps timing and sound behavior aligned with the reference sequence 
- Connected 9:16 portrait widescreen resolution at the 0.4 megapixel setting 
- SaveVideo output preserves the generated visual and audio result 
 
Suggested workflow: 
 
Give each source a single role: image for identity, video for motion and staging, and its paired audio for timing and sound behavior. Explicitly state what must be replaced and what may be retained. Test with a short sequence before adding complex camera choreography. 
 
⚡ RunningHub Workflow 
 
Try the workflow online right now - no installation required. 
👉 Workflow: https://www.runninghub.ai/post/2084608990058733569?inviteCode=rh-v1111 
 
If the results meet your expectations, you can later deploy it locally for customization. 
 
🎁 Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! 
 
📵 Bilibili Updates (Mainland China &amp; Asia-Pacific) 
 
If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. 
📵 Bilibili Video: https://www.bilibili.com/video/BV1MrMk69Ejk/ 
 
☕ Support Me on Ko-fi 
 
If you find my content helpful and want to support future creations, you can buy me a coffee. 
Every bit of support helps me keep creating. 
👉 Ko-fi: https://ko-fi.com/aiksk 
 
📬 Business Contact 
 
For collaboration or inquiries, please contact aiksk95 on WeChat. 
 
⚡ 打开下方链接即可在线体验，无需安装。 
👉 工作流：https://www.runninghub.ai/post/2084608990058733569?inviteCode=rh-v1111 
 
如果你觉得效果理想，也可以在本地进行自定义部署。 
 
🎁 粉丝福利：注册即可领取 1000 积分，每日登录再领 100 积分，体验 4090 与 48 GB 超大显存性能。 
 
📵 B站视频（中国大陆及亚洲地区） 
 
如果你在中国大陆或亚洲地区，可以通过下面的视频查看工作流的实测效果与创作思路。 
📵 B站视频：https://www.bilibili.com/video/BV1MrMk69Ejk/ 
 
我会在夸克网盘持续更新模型资源： 
👉 https://pan.quark.cn/s/07bdc81784ce

minimaxH3Character_v10.json

v1.0

<div data-youtube-video="https://youtu.be/RhszI-72alU"><iframe src="https://www.youtube.com/embed/RhszI-72alU" width="853" height="480" allowfullscreen></iframe></div> 
RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2084608990058733569?inviteCode=rh-v1111
<h2>MiniMax H3 R2V-05 character image + video with paired audio</h2>
A MiniMax H3 omni-modal video graph exported from episode 288. 37 nodes / 47 links. Character images + LoadVideo -&gt; Video Slice -&gt; GetVideoComponents (the clip's own audio) + LoadAudio. 9:16 at 0.4 MP, 5 s.
<h2>Saved configuration</h2>
<ul>
<li>UNETLoader <code>minimax_h3_fl2va_bf16.safetensors</code>; CLIPLoader <code>qwen3vl_32b_minimax_h3_int8_convrot.safetensors</code> (type minimax); VAELoader video <code>minimax_h3_video_vae_fp16.safetensors</code> + audio <code>minimax_h3_audio_vae_fp32.safetensors</code>.</li>
<li>The saved graphs contain no LoRA nodes.</li>
<li>Sampling: <code>KSamplerSelect</code> res_multistep with <code>BasicScheduler</code> simple, 20 steps, denoise 1; <code>SamplerCustomAdvanced</code> for the custom chain.</li>
<li>Conditioning: <code>MiniMaxH3ImageToVideo</code> / <code>MiniMaxH3ReferenceToVideo</code> saved at 1344x768 / 124 / match where present; ResolutionSelector and duration values are quoted per item above; output goes to SaveVideo prefix <code>video/MiniMax_H3</code>.</li>
</ul>
<h2>How to use</h2>
Here the reference video's paired audio is part of the input; the GetVideoComponents branch is what separates the picture track from the paired sound.
<h2>Limits and not-verified items</h2>
No inference was run for this listing: no speed, VRAM, audio-sync or quality claim is made. Values are quoted from the saved nodes. The graph's notes link the official Comfy-Org/MiniMax-H3 model files and the MiniMax blog; those notes are preserved and this listing does not claim to be the original template author. Weights, encoder and VAEs are not bundled; check their licenses separately. The cover image is a promotional still, not a frame produced by this graph.
Tutorial: <a href="https://www.youtube.com/watch?v=RhszI-72alU" rel="ugc">YouTube</a> · <a href="https://www.bilibili.com/video/BV1MrMk69Ejk" rel="ugc">Bilibili</a>. Workflows supplied through AI-KSK; verify workflow, node, model, image/audio and cover rights separately. No blanket commercial or redistribution license is asserted.

R2V-05 Character Image + Video + Paired Audio

<div data-youtube-video="https://youtu.be/RhszI-72alU"></div> 
RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2084608990058733569?inviteCode=rh-v1111
MiniMax H3 R2V-05 character image + video with paired audio
A MiniMax H3 omni-modal video graph exported from episode 288. 37 nodes / 47 links. Character images + LoadVideo -&gt; Video Slice -&gt; GetVideoComponents (the clip's own audio) + LoadAudio. 9:16 at 0.4 MP, 5 s.
Saved configuration
<ul>
<li>UNETLoader <code>minimax_h3_fl2va_bf16.safetensors</code>; CLIPLoader <code>qwen3vl_32b_minimax_h3_int8_convrot.safetensors</code> (type minimax); VAELoader video <code>minimax_h3_video_vae_fp16.safetensors</code> + audio <code>minimax_h3_audio_vae_fp32.safetensors</code>.</li>
<li>The saved graphs contain no LoRA nodes.</li>
<li>Sampling: <code>KSamplerSelect</code> res_multistep with <code>BasicScheduler</code> simple, 20 steps, denoise 1; <code>SamplerCustomAdvanced</code> for the custom chain.</li>
<li>Conditioning: <code>MiniMaxH3ImageToVideo</code> / <code>MiniMaxH3ReferenceToVideo</code> saved at 1344x768 / 124 / match where present; ResolutionSelector and duration values are quoted per item above; output goes to SaveVideo prefix <code>video/MiniMax_H3</code>.</li>
</ul>
How to use
Here the reference video's paired audio is part of the input; the GetVideoComponents branch is what separates the picture track from the paired sound.
Limits and not-verified items
No inference was run for this listing: no speed, VRAM, audio-sync or quality claim is made. Values are quoted from the saved nodes. The graph's notes link the official Comfy-Org/MiniMax-H3 model files and the MiniMax blog; those notes are preserved and this listing does not claim to be the original template author. Weights, encoder and VAEs are not bundled; check their licenses separately. The cover image is a promotional still, not a frame produced by this graph.
Tutorial: <a href="https://www.youtube.com/watch?v=RhszI-72alU" rel="ugc">YouTube</a> · <a href="https://www.bilibili.com/video/BV1MrMk69Ejk" rel="ugc">Bilibili</a>. Workflows supplied through AI-KSK; verify workflow, node, model, image/audio and cover rights separately. No blanket commercial or redistribution license is asserted.

Files with SHA256: 04922ffb925a8e2018b338acb33b59c534641b2f027ae69a613233f0a7a128dc