README.md

---

license: mit

base_model: MiniMaxAI/MiniMax-H3

tags:

• comfyui

• workflow

• video

• audio

• text-to-video

• minimax-h3

• multishot

---

MiniMax-H3 Multishot Workflow

Chain multiple MiniMax-H3 shots into one continuous video with audio - in

one node. Each shot starts from the last frame of the previous one; the

duplicated seam frame and its 1/24s of audio are trimmed automatically.

The demo below was made by this workflow: 30 seconds, three chained shots

from one script, same presenter and same voice across both seams, rendered on

the Q5_1 GGUF.

Files

• H3_Multishot_AIO.json - easy mode: loaders > script box > one sampler

  node > save. Write one prompt per shot with --- between them, pick a

  shot count (0 = one shot per prompt, 1-8 forces it), queue.

• H3_Multishot_3chain_expert.json - the same pipeline exploded into three

  visible shot chains for per-stage tinkering.

Requirements

• ComfyUI v0.30.0+ (native MiniMax H3 support)

• The node pack: ComfyUI-H3-Multishot (Manager > Install via Git URL;

  includes the one-line ComfyUI-GGUF architecture patch)

• Models: MiniMax-H3 GGUF quants (Q5_1 for 24-32 GB cards, Q4_0

  for 16 GB) or the originals; text encoder + VAEs from

  Comfy-Org/MiniMax-H3

Notes

• frames_per_shot sits on H3's 17k+5 frame grid (243 = ~10.1s at 24 fps;

  362 = ~15.1s, the trained max).

• End every shot on what the NEXT shot expects to see - the chain hands each

  shot the previous final frame, and matching that bridge to the next shot's

  framing is what makes seams invisible.

• Malformed JSON scripts fail loudly instead of rendering the raw text.

v1.1 (2026-08-04)

• Image-to-video. The Multishot Sampler now takes an optional start_image. Connect a LoadImage and shot 1 starts from that frame, then chains as usual. Leave it unconnected for unchanged text-to-video behaviour - v1.0 graphs keep working.
• ~4x faster on 32GB cards. The text encoder is evicted before sampling. The Qwen3-VL encoder (16.5GB even at Q4) and the H3 DiT (25GB) do not co-fit on 32GB, so the DiT was loading partially and streaming 19GB from system RAM every step. Measured on an RTX 5090: **60 min -> ~15 min** for the same render.
• Text encoder GGUF + mmproj published: joeygambino/MiniMax-H3-encoder-GGUF. The mmproj sidecar is required for multi-shot, not just for reference images - shot chaining feeds the previous frame through the encoder's vision path.
• Render at H3's native resolution and upscale afterwards: native 1920x1088 measured worse than 960x544 in blind review and cost ~4x the time.

Node pack: ComfyUI-H3-Multishot

Support

Everything here is free and stays free. If it saved you a night of debugging, tips keep the 5090 warm:

• Buy me a coffee on Ko-fi
• Sponsor on GitHub
• Liberapay (recurring)