https://youtu.be/SUJkkT6XLHI 
 
This workflow focuses on a Larry Turbo LoRA acceleration route for MiniMax H3. It is aimed at users who want a compact, fast image-to-video setup with a turbo sampler strategy and a simple structure that is easy to test. 
 
The active chain uses a MiniMax H3 pruned INT8 ConvRot model, a Qwen3-VL MiniMax INT8 ConvRot text encoder, MiniMax H3 video and audio VAEs, and an enabled Larry Turbo LoRA. The graph is centered on a 16:9 output route and a short-step sampling setup. 
 
This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. 
 
Main features: 
 
- Larry Turbo LoRA is enabled on the reachable generation path 
- MiniMax H3 pruned INT8 ConvRot model route for lighter execution 
- Qwen3-VL MiniMax INT8 ConvRot text encoding 
- Euler sampling with a beta 6-step schedule 
- 16:9 widescreen resolution selector for video creation 
- Clean single-output SaveVideo route 
- Good fit for fast image-to-video speaking or character motion tests 
 
Suggested workflow: 
 
Use one clear starting image and keep the subject framed cleanly. Because this is a turbo route, test conservative prompts first: stable face, controlled hand motion, light camera movement, and a short spoken line if audio is used. If motion becomes too loose, reduce prompt complexity before changing the model path. 
 
For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. 
 
RunningHub Workflow 
 
Try the workflow online right now - no installation required. 
Workflow: https://www.runninghub.ai/post/2086333407625596929?inviteCode=rh-v1111 
 
If the results meet your expectations, you can later deploy it locally for customization. 
 
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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/BV17nuU6xE3g/ 
 
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打开下方链接即可在线体验，无需安装。 
工作流：https://www.runninghub.ai/post/2086333407625596929?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。 
 
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B站视频（中国大陆及亚太地区） 
 
如果你在中国大陆或亚太地区，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/BV17nuU6xE3g/ 
 
我会在夸克网盘持续更新模型资源： 
https://pan.quark.cn/s/07bdc81784ce

MiniMax H3 Larry Turbo Workflow

02_minimax-h3-larry-turbo-workflow.json

v1.0

<div data-youtube-video="https://youtu.be/SUJkkT6XLHI"><iframe src="https://www.youtube.com/embed/SUJkkT6XLHI" width="853" height="480" allowfullscreen></iframe></div> 
RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2086411713435492353?inviteCode=rh-v1111
<h2>MiniMax H3 Larry Turbo Acceleration — MiniMax H3 Larry Turbo Acceleration</h2>
A MiniMax H3 video graph from episode 291, part of the six-times-acceleration series that compares model tier, LoRA, attention and cache settings.
<h2>Saved configuration</h2>
21 nodes / 27 links. UNET <code>minimax_h3_fl2va_pruned_int8_convrot.safetensors</code>; CLIP <code>qwen3vl_32b_minimax_h3_int8_convrot</code>; video fp16/audio fp32 VAEs; turbo-v4 LoRA at 1; euler + beta 6 steps denoise 1; one LoadImage.
<h2>How to use</h2>
The minimal Larry route: one pruned-int8 model, one turbo LoRA, six euler/beta steps. If you want the shortest working H3 image-to-video graph in this set, this is it — the trade-off is that it bakes in a single speed/quality point.
<h2>Limits and not-verified items</h2>
No inference was run for this listing: no speed, VRAM, quality, audio-sync or acceleration-factor claim is made. The "6x" in the episode title is the author's description and was not independently measured. Values are quoted from the saved nodes. H3 weights, LoRAs, encoder and VAEs are not bundled; check their licenses separately. The graph notes credit the official Comfy-Org/MiniMax-H3 model files; preserved as-is, no originality claim. The cover image is a promotional still, not a frame produced by this graph.
Tutorial: <a href="https://www.youtube.com/watch?v=SUJkkT6XLHI" rel="ugc">YouTube</a> · <a href="https://www.bilibili.com/video/BV17nuU6xE3g" rel="ugc">Bilibili</a>. Workflows supplied through AI-KSK; verify workflow, node, model, LoRA and cover rights separately. No blanket commercial or redistribution license is asserted.

MiniMax H3 Larry Turbo Acceleration

<div data-youtube-video="https://youtu.be/SUJkkT6XLHI"></div> 
RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2086411713435492353?inviteCode=rh-v1111
MiniMax H3 Larry Turbo Acceleration — MiniMax H3 Larry Turbo Acceleration
A MiniMax H3 video graph from episode 291, part of the six-times-acceleration series that compares model tier, LoRA, attention and cache settings.
Saved configuration
21 nodes / 27 links. UNET <code>minimax_h3_fl2va_pruned_int8_convrot.safetensors</code>; CLIP <code>qwen3vl_32b_minimax_h3_int8_convrot</code>; video fp16/audio fp32 VAEs; turbo-v4 LoRA at 1; euler + beta 6 steps denoise 1; one LoadImage.
How to use
The minimal Larry route: one pruned-int8 model, one turbo LoRA, six euler/beta steps. If you want the shortest working H3 image-to-video graph in this set, this is it — the trade-off is that it bakes in a single speed/quality point.
Limits and not-verified items
No inference was run for this listing: no speed, VRAM, quality, audio-sync or acceleration-factor claim is made. The "6x" in the episode title is the author's description and was not independently measured. Values are quoted from the saved nodes. H3 weights, LoRAs, encoder and VAEs are not bundled; check their licenses separately. The graph notes credit the official Comfy-Org/MiniMax-H3 model files; preserved as-is, no originality claim. The cover image is a promotional still, not a frame produced by this graph.
Tutorial: <a href="https://www.youtube.com/watch?v=SUJkkT6XLHI" rel="ugc">YouTube</a> · <a href="https://www.bilibili.com/video/BV17nuU6xE3g" rel="ugc">Bilibili</a>. Workflows supplied through AI-KSK; verify workflow, node, model, LoRA and cover rights separately. No blanket commercial or redistribution license is asserted.

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