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MiniMax H3 Multi-Character Swap in Images | ComfyUI

Updated: Nov 11, 2026

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MiniMax_H3_Multi-Character_Swap_in_Images_ComfyUI.zip

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Nov 11, 2026

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Replace one to four characters in a still image using separate references.

Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning - you still choose inputs, prompts, and settings.

Open preloaded workflow on RunComfy

Open preloaded workflow on RunComfy (browser)

Why RunComfy first
- Fewer missing-node surprises - run the graph in a managed environment before you mirror it locally.
- Quick GPU tryout - useful if your local VRAM or install time is the bottleneck.
- Matches the published JSON - the zip follows the same runnable workflow you can open on RunComfy.

When downloading for local ComfyUI makes sense - you want full control over models on disk, batch scripting, or offline runs.

How to use (local ComfyUI)
1. Load inputs (images/video/audio) in the marked loader nodes.
2. Set prompts, resolution, and seeds; start with a short test run.
3. Export from the Save / Write nodes shown in the graph.

Expectations - First run may pull large weights; cloud runs may require a free RunComfy account.


Overview

Swap up to four people in a still image. You provide a reference for each character. Match references to scene order. Specify each person's position. Guide identity, clothing, and lighting. Review faces, poses, and backgrounds after rendering.

Important nodes:

Key nodes in the MiniMax H3 Multi-Character Swap workflow

  • MiniMaxH3ReferenceToVideo (#39)
    Turns the scene image, ordered character references, and assembled prompt into H3 conditioning and a starting latent. In the tested configuration, the sampler uses the Fizgig single-frame latent instead. The final chain selects and saves an image; the node name does not make this a video-swap workflow.

  • Settings (#328)
    Controls character count (1–4), reference size, Use Fizgig, Custom size, and Reinforce relight. Start with the saved defaults and change one setting at a time when comparing results.

  • FizgigH3StillLatent (#205)
    Creates a single-frame latent inside the Create prompt subgraph. The saved workflow uses this latent and retains its original standard VAEDecode node, followed by ImageFromBatch and SaveImage. The examples were rendered with that graph. The plugin also provides a separate Still Decode node, which is not used here. Fizgig H3 Still project

  • Create prompt (#303)
    Assembles the instruction string from pose descriptions, identity instructions, and your extra notes. It also supplies the image dimensions and the Fizgig latent. If mapping is off, refine the input descriptions and regenerate; the Preview group shows the resulting text rather than serving as the source of those instructions.

  • SamplerCustomAdvanced (#15)
    Drives the denoising process using the loaded guider and scheduler. For consistency across iterations, keep your seed fixed during comparisons; switch it only when exploring variations after you are happy with identity and placement.

Notes

MiniMax H3 Multi-Character Swap in Images | ComfyUI - see RunComfy page for the latest node requirements.