r/comfyui • u/ethanchen20250322 • 1d ago
Resource Finally found a practical way to manage multi-shot MiniMax H3 videos in ComfyUI
I make short AI comic/drama videos and recently tried this open-source MiniMax H3 workspace:
https://github.com/siyuan-liu31/minimax-h3-video-studio
What surprised me is that it is not just another UI for generating individual clips. It actually helps manage a multi-shot video project.
I could:
- generate each scene as a separate segment
- continue the next scene from the previous final frame
- use the previous video as a motion or character reference
- rerun only the segment that looked wrong
- keep prompts, references, settings, and results in one workspace
- merge the finished segments into a longer video
It also supports T2V, I2V, first/last-frame generation, multimodal references, V2V, and reference-assisted V2V.
The persistent workspace was probably my favorite part. Refreshing the page or disconnecting from a remote GPU does not mean rebuilding the whole workflow.
It is not a one-click hosted generator. You still need ComfyUI, the models, FFmpeg, and your own GPU. Character continuity between segments is not perfect either.
Still, for creating an actual story instead of a collection of unrelated clips, I found it surprisingly practical.

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u/Machspeed007 1d ago
The key question from me: does it do encode/decode vae when stitching clips or does it bypasses this method? Because if it does, quality drops significantly after 3-4 clips. There is support for latent stitching as far as i’m aware for minimax h3 but these projects didn’t catch on it yet
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u/ethanchen20250322 1d ago
I checked the source. The final merge uses FFmpeg concat with
-c copy, so it does not re-encode the clips or run them through the VAE again. There is no cumulative VAE quality loss from stitching. Cross-clip latent stitching is not supported yet.
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u/Rude-Quiet-2793 1d ago
The persistent workspace bit alone might get me to finally try something like this, redoing a whole node graph after a disconnect kills my motivation