https://youtu.be/SUJkkT6XLHI 
 
This workflow is a LightX2V Turbo-style MiniMax H3 acceleration setup. It is made for quick image-to-video experiments where low step count and fast iteration matter more than a long, heavy render chain. 
 
The graph uses a MiniMax H3 pruned INT8 ConvRot model, a Qwen3-VL MiniMax INT8 ConvRot text encoder, MiniMax H3 video and audio VAEs, and a compact turbo sampling path. The connected scheduler is a simple 4-step route with er_sde sampling. 
 
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: 
 
- LightX2V Turbo acceleration route for MiniMax H3 testing 
- MiniMax H3 pruned INT8 ConvRot model connection 
- Qwen3-VL MiniMax encoder and MiniMax H3 VAEs are wired into the output path 
- Simple 4-step schedule for very fast iteration 
- er_sde sampler selection in the connected sampler branch 
- 16:9 widescreen output route 
- Best used for quick motion previews and prompt screening before heavier renders 
 
Suggested workflow: 
 
Use this workflow as an early screening pass. Test whether the character, camera move, and broad motion direction work before moving to a heavier workflow. Keep facial acting and hand motion simple on the first run, then increase detail only after the image identity and motion rhythm stay stable. 
 
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/2086424094640648194?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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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/2086424094640648194?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 LightX2V Turbo

03_minimax-h3-lightx2v-turbo.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/2086332815146311681?inviteCode=rh-v1111
<h2>MiniMax H3 Lightx2V Turbo Acceleration — MiniMax H3 LightX2V 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; LoRA <code>minimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy.safetensors</code> at 0.75; <code>KSamplerSelect</code> er_sde + <code>BasicScheduler</code> simple, 4 steps, denoise 1; one LoadImage.
<h2>How to use</h2>
The LightX2V route: a different turbo LoRA at 0.75 strength, er_sde sampling and only 4 steps. Note the strength is not 1.0 — that is the saved value, and changing it changes the speed/quality point rather than just the timing.
<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 LightX2V Turbo Acceleration

<div data-youtube-video="https://youtu.be/SUJkkT6XLHI"></div> 
RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2086332815146311681?inviteCode=rh-v1111
MiniMax H3 Lightx2V Turbo Acceleration — MiniMax H3 LightX2V 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; LoRA <code>minimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy.safetensors</code> at 0.75; <code>KSamplerSelect</code> er_sde + <code>BasicScheduler</code> simple, 4 steps, denoise 1; one LoadImage.
How to use
The LightX2V route: a different turbo LoRA at 0.75 strength, er_sde sampling and only 4 steps. Note the strength is not 1.0 — that is the saved value, and changing it changes the speed/quality point rather than just the timing.
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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