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H3 Character Sheet Designer for ComfyUI -Image Generation

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H3_Character_Sheet_Designer_wf.json

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Type
Workflows
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334

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Published

Oct 4, 2026

Base Model

MiniMax H3

Hash
AutoV2
2885C78FAC
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Generation, training and LoRA distribution on Civitai are covered by Civitai’s own license agreement with MiniMax. If you download these weights and run them yourself, your use is instead governed by the MiniMax H3 Community License Agreement, whose grant excludes the European Union, the United Kingdom, the Republic of Korea and the United States of America.

MiniMax H3

665090120-c56b09f1-f5bc-41da-84cc-18da76556691.png

H3 Character Sheet Designer for ComfyUI

Create character sheets from a reference image using MiniMax H3’s built-in reference conditioning and prompt understanding. Select the views you need, adjust the output size, and optionally add English prompts for clothing or other details.

No character-sheet LoRA is required. This Designer is the only custom node in the included workflow; generation uses ComfyUI Core nodes. You’ll need a compatible ComfyUI build and the H3 diffusion model, text encoder, and video VAE. Models are not included.

Installation

Open a terminal in your ComfyUI/custom_nodes folder and run:

git clone https://github.com/ukr8b3g-cmyk/H3-Character-Sheet-Designer.git

Restart ComfyUI and refresh the browser page. Download the official workflow, load it into ComfyUI, and select your reference image and models.

English Part prompts are recommended. Hand and footwear close-ups are optional; start without them unless needed. Results may require prompt adjustments. To generate a single view, select only that view and queue manually.

A simple, intuitive character-sheet designer using the MiniMax H3 models available through ComfyUI’s official templates. FL2VA can work well for straightforward character sheets. If you want to change clothing, colors, or other details, consider trying the official Ref2VA model from Comfy-Org. A Hybrid model is also linked in the workflow notes as an optional alternative. Results vary by model, reference image, and prompt.

For model links, examples, and full instructions, see the GitHub README.