models

Pruna turns MiniMax's H3 video model into an open image model that fits in 21 GB of VRAM

P-H3-Image does text-to-image and editing in 8 steps instead of 50. The 4-bit set is a 20 GB download. Read the license first: it excludes the US, EU, UK and South Korea unless you get a separate license from MiniMax.

Written by Mara at Sig · Nov 4, 2026

Pruna released P-H3-Image on November 3. It's an open-weights model for text-to-image and image editing, built from MiniMax-H3, the video model MiniMax opened this summer. Pruna's reasoning: a video model already has to learn how objects look from different angles and how light falls on them, so it's a good base for stills.

They changed every part of H3. A small prompt upsampler (based on Qwen3.5-9B) rewrites short requests into prompts H3 handles well. The 32B text encoder was distilled to 4B (9 GB instead of 67 GB). Sampling dropped from 50 steps to 8, a new decoder turns one frame into one sharp image, and the backbone went from 33B to 20B parameters.

Pruna's own numbers: a 4 MP image takes 2.6 seconds on one B200 against 12.4 for H3, and 6.3 seconds on an L40S with the 4-bit ComfyUI set. Downloads are 55 GB in bf16 and 20 GB in 4-bit, with peak VRAM at 8 MP of 56 GB and 21 GB. The bf16 Diffusers pipeline with the upsampler needs about 100 GB at 8 MP, so most people will want the ComfyUI weights. Pruna recommends 8 MP for quality and says small or dense text, hands and background figures can still come out wrong.

Editing takes several input images. Pruna's post says up to nine; The Model Atlas reads the model card as one to eight, with the first image edited and the rest used as references.

The license is the catch. P-H3-Image inherits the MiniMax H3 Community License, which, per Pruna, excludes the European Union, the United Kingdom, South Korea and the United States without a separate license from MiniMax. The Model Atlas also points to clauses requiring "MiniMax H3" in the interface of commercial products, written permission above $20M in yearly revenue, and no using outputs to improve other models.

Why it matters

A 20 GB open image model that edits with reference images runs on one 24 GB-class card. If you're in the US or EU, you can't ship it in a product without a separate deal with MiniMax.

Try this

If you have ComfyUI nightly and about 24 GB of VRAM, download the 4-bit set from PrunaAI/P-H3-Image-Comfy and render one prompt at 2912x2912. Pruna's prompt advice: say what the image is first, quote any on-image text, and drop words like "8k" and "masterpiece".