otherimage-genRuns locally33.1B DiT (card)
MiniMax-H3-Image: Specs, License & How to Run
Official MiniMax 16MP T2I+edit checkpoint. 6-step no-CFG. Geo-limited Community License.

- License
- other
- Parameters
- 33.1B DiT (card)
- HF likes
- 400 (2026-11-11)
- First seen
- 2026-11-03
TL;DR. MiniMax-H3-Image is a image-gen model from MiniMax. Parameters: 33.1B DiT (card).License: other. It is listed under Midjourney.
| Developer | MiniMax |
|---|---|
| Type | image-gen |
| Architecture | MiniMaxH3DiTModel (config: 50 layers, 56 heads, hidden 5376, FFN 14336, audio_enabled false). Card: 33.1B dense single-stream DiT, H3 architecture without audio layers; MiniMax-H3 (Qwen3-VL) text encoder unchanged (model_index.json loads MiniMaxAI/MiniMax-H3 text_encoder/). Unified text-to-image and image editing; up to 16 reference images; distilled to 6 sampling steps (6 NFEs), guidance_scale 1. Distinct from P-H3-Image (Pruna 8-step 8 MP MiniMax-H3 still-image pack) and Pika H3 Flex (video). |
| Parameters | 33.1B DiT (card) |
| Modalities | image, text |
| Languages | en |
| License | other — LICENSE title is MiniMax-H3-Image COMMUNITY LICENSE AGREEMENT (release / license date 10 November 2026). Hugging Face cardData.license is other / license_name minimax-h3-image-community-license-agreement. Grant is limited to the Applicable Territory (worldwide excluding the European Union, the United Kingdom, the Republic of Korea, and the United States of America). LICENSE §V.4 also bars using, reproducing, modifying, distributing, or displaying the Works or their Outputs outside that territory. §IV: yearly Annualized Revenue over USD 1 million, or providing Hosted Service(s) to Third Parties, needs prior written MiniMax authorization via platform.minimax.io/console/license. Commercial product UIs must prominently display “MiniMax-H3-Image”. Optional MiniMax-H3-Image-PE is part of this model and follows the same agreement (starting weights Qwen3.8-27B are Apache-2.0). Not legal advice. |
| Hardware | 14.7 GiB peak (vLLM-Omni 1-GPU DLO recipe, vendor) — Card Model Zoo size 68.65 GB for this image repo (transformer/ 66.28 GB, vae/ 2.34 GB, small heads/tokenizer). Text encoder is a separate ~66.7 GB MiniMax-H3 download. Hugging Face usedStorage on MiniMaxAI/MiniMax-H3-Image is 204,002,730,228 bytes (~190 GiB) because transformer_diffusers/ and vae_diffusers/ also sit in the tree. vLLM-Omni recipe (vendor): 1-GPU DLO 14.7 GiB peak / 8.3 s at 2048²; 1-GPU text-encoder offload 73.4 GiB / 3.2 s; 4×H200 Ulysses 81.3 GiB / 0.88 s. Peak VRAM is not independently measured. Datacenter-class at native 16 MP. (not independently tested) |
| Hugging Face likes | 400 (as of 2026-11-11) |
| Model card | https://huggingface.co/MiniMaxAI/MiniMax-H3-Image |
| First seen | 2026-11-03 |
MiniMax-H3-Image is MiniMax’s official still-image checkpoint for text-to-image and image editing. Official hosts we opened on 2026-11-11: the ungated card MiniMaxAI/MiniMax-H3-Image (created 2026-11-03T06:34:36Z; last modified 2026-11-11T00:30:36Z; 400 likes / 667 downloads), LICENSE (MiniMax-H3-Image Community License Agreement, 10 November 2026), optional prompt expander MiniMaxAI/MiniMax-H3-Image-PE (30 likes / 0 downloads; created 2026-11-08T15:35:23Z), text encoder host MiniMaxAI/MiniMax-H3, the research blog MiniMax H3-Image: Bringing 4K Image Generation into the 10-Second Era (dated 2026-11-11), GitHub mirror MiniMax-AI/MiniMax-H3-Image, the vLLM-Omni recipe MiniMaxAI/MiniMax-H3-Image, and ComfyUI’s 10 November 2026 note MiniMax H3 Image is now available in ComfyUI. API gated was false. Hugging Face pipeline_tag is text-to-image. library_name is minimax-h3. Tags include image-to-image and image-editing.
This identification page hangs off open Midjourney-class alternatives. That mapping is editorial. We have no sourced bake-off against Midjourney.
It is not P-H3-Image (Pruna’s earlier still-image pack of MiniMax-H3, 8 steps, ~8 MP). Head-to-head facts: MiniMax-H3-Image vs P-H3-Image. It is also not Pika H3 Flex (video+audio adapters on MiniMax-H3). P-H3-Image already has P-H3-Image vs FLUX 3 Image Klein; this page does not duplicate that pairing.
The card’s “strongest instruction following among open-source models” sentence and the blog’s “under 10 seconds” / “5× the speed of mainstream alternatives” lines stay vendor.
What we verified (2026-11-11)
| Field | Value | Source |
|---|---|---|
| Host | huggingface.co/MiniMaxAI/MiniMax-H3-Image (not gated) | HF API |
| Created / last modified | 2026-11-03T06:34:36Z / 2026-11-11T00:30:36Z | same |
| Likes / downloads | 400 / 667 | same |
| License tag + file | other / minimax-h3-image-community-license-agreement |
HF cardData + LICENSE |
| LICENSE date | 10 November 2026 | LICENSE |
| Pipeline tag | text-to-image | HF API |
| Base model tag | MiniMaxAI/MiniMax-H3 (finetune) | HF tags |
| Transformer class | MiniMaxH3DiTModel (50 layers, 56 heads, hidden 5376, audio_enabled false) |
transformer/config.json |
| Params (card) | 33.1B dense DiT | README |
| Model Zoo size (this repo) | 68.65 GB | README table |
| Text encoder | MiniMax-H3 Qwen3-VL, ~66.7 GB, loaded from MiniMaxAI/MiniMax-H3 text_encoder/ |
README + model_index.json |
| usedStorage (this card) | 204,002,730,228 bytes (~190 GiB) | HF API |
| Sampling | 6 steps (6 NFEs), guidance_scale 1, no negative prompt |
README |
| Resolution | Native ~16 MP without an upscaler; working range ~4–20 MP | README |
| Editing | Up to 16 reference images | README |
| Optional PE | MiniMaxAI/MiniMax-H3-Image-PE, NVFP4, 17.9 GB, 30 likes | Model Zoo + HF API |
model_index.json still points the text encoder at MiniMaxAI/MiniMax-H3 text_encoder/. Hugging Face siblings on this card also list text_encoder/ shards plus transformer_diffusers/ and vae_diffusers/. That is why usedStorage (~190 GiB) is larger than the Model Zoo 68.65 GB label. We keep both quotes.
LICENSE date is 10 November 2026. The research blog HTML we opened is dated 2026-11-11. Hugging Face createdAt is 2026-11-03. Identification uses those three dates as they appear.
Native sizes (copied from the card)
The card says the effective working range is about 4 MP to 20 MP, and that it generally gives the best results at around 16 MP. Listed ~16 MP sizes (width × height):
| Aspect ratio | Size |
|---|---|
| 1:1 | 4096×4096 |
| 4:3 / 3:4 | 4736×3552 / 3552×4736 |
| 3:2 / 2:3 | 5024×3360 / 3360×5024 |
| 16:9 / 9:16 | 5472×3072 / 3072×5472 |
| 21:9 | 6272×2688 |
No upscaler is in that loop. Other aspect ratios at ~16 MP are allowed; those five rows are the card’s common list.
How to run (from official cards, not tested)
Card download:
hf download MiniMaxAI/MiniMax-H3-Image
hf download MiniMaxAI/MiniMax-H3 --include "text_encoder/*"
# optional prompt expander
hf download MiniMaxAI/MiniMax-H3-Image-PE
Recommended serving frameworks copied from the README: SGLang, vLLM-Omni, diffusers, ComfyUI.
Card SGLang one-GPU line:
sglang serve --model-path MiniMaxAI/MiniMax-H3-Image --host 0.0.0.0 --port 30000 --warmup-mode off
Card vLLM-Omni one-GPU line:
vllm serve MiniMaxAI/MiniMax-H3-Image --omni --host 0.0.0.0 --port 8000
Request contract copied from the README: /v1/images/generations (JSON) for text-to-image; /v1/images/edits (multipart) for references. size is required. num_inference_steps must be 6. guidance_scale must be 1. Other values return HTTP 400. negative_prompt is rejected. Prompts are truncated at 4096 tokens.
The MiniMax API turns a short prompt into a detailed English description with H3-Image-Context-IR before generation. Local alternative: optional MiniMax-H3-Image-PE. forkalt has no PE page; PE is an optional expander on this checkpoint, not a separate product listing.
ComfyUI: the 10 November 2026 Comfy blog says MiniMax H3 Image runs natively (T2I and Edit templates). Comfy-Org/MiniMax-H3-Image is a repack of these weights, not a third identification page.
Hosted platform.minimax.io and Hailuo are API / product SKUs. Blog Standard / Highspeed multipliers and “50–70% of comparable mainstream offerings” are not a statement about the weight files. forkalt has not served the shards.
Vendor speed and memory (self-reported)
Not a forkalt measurement. Copied labels only.
11 November 2026 MiniMax blog: a 4K (4096×4096) image “in under 10 seconds,” “at up to 5× the speed of mainstream alternatives.” Those comparators are unnamed.
vLLM-Omni recipe MiniMaxAI/MiniMax-H3-Image, H200 rows as printed there: 1 GPU with text-encoder offload 73.4 GiB peak / 3.2 s at 2048²; 1 GPU DLO (DiT + text encoder) 14.7 GiB / 8.3 s; 4 GPU Ulysses 81.3 GiB / 0.88 s. The same recipe’s intro also prints a 2720×1536 image “in about 0.8 s” on 4×H200. That recipe’s overview says “up to nine reference images” and “2K-class canvases.” Identification of the weights follows the MiniMax card (16 refs, native ~16 MP). The recipe rows stay vendor serving notes.
License
LICENSE is the MiniMax-H3-Image Community License Agreement (10 November 2026). Hugging Face cardData.license is other. We do not invent a more specific SPDX id. This is a different file from the August 2026 MiniMax H3 Community License on P-H3-Image.
Paraphrase only, not legal advice:
- Applicable Territory is worldwide excluding the European Union, the United Kingdom, the Republic of Korea, and the United States of America. Use outside that territory is not authorized by this agreement (contact MiniMax for a separate license).
- LICENSE §V.4: you may not use, reproduce, modify, distribute, or display the Works or their Outputs outside the Applicable Territory.
- §IV.1: Annualized Revenue of you and/or affiliates over USD 1 million, or providing Hosted Service(s) to any Third Parties, requires prior written MiniMax authorization (platform.minimax.io/console/license).
- §IV.2: prominently display “MiniMax-H3-Image” on commercial product UIs. §III.3 encourages “Powered by MiniMax-H3-Image”.
- You may not use the Works or Outputs to improve any other AI model other than MiniMax-H3-Image or its Model Derivatives.
- MiniMax-H3-Image-PE is part of MiniMax-H3-Image and follows this agreement. The LICENSE additional note says PE is derived from Qwen3.8-27B (Apache-2.0). That Apache grant on the starting weights does not replace this Community License for PE.
This $1 million / Hosted Service trigger is stricter than the $20 million yearly-revenue clause on the older MiniMax H3 Community License used by P-H3-Image. Do not mix the two files.
What we did not invent
- Photorealism / instruction-following / “under 10 seconds” / “5×” stay vendor.
- vLLM-Omni latency and peak-VRAM rows stay vendor. We have not measured 4096².
- We do not rank MiniMax-H3-Image against P-H3-Image, FLUX 3 Image Klein, Qwen-Image-2.1-Turbo, MOSS-Image, Iris-3B, or Midjourney.
- We do not treat P-H3-Image as a quantization of this card. Pruna published P-H3-Image from MiniMax-H3 before this official image checkpoint’s LICENSE date.
Related on this site: MiniMax-H3-Image vs P-H3-Image — P-H3-Image — P-H3-Image vs FLUX 3 Image Klein — FLUX 3 Image Klein — Qwen-Image-2.1-Turbo — MOSS-Image — Iris-3B — Fibo 2.0 (CC BY-NC) — Pika H3 Flex (same MiniMax-H3 family, video) — MiniMax M3.1 Flash (same lab, chat MoE, not an image DiT) — ComfyUI. Hub: Midjourney-class alternatives. Catalog: home. Corrections: contact.
Deploy options
- local: Hugging Face weights
- local: vLLM-Omni recipe
- local: SGLang (card serve line)
- local: ComfyUI native (Comfy blog, 2026-11-10)
- hosted: MiniMax API (separate SKU)
- hosted: Hailuo web app
Comparisons
FAQ
Are MiniMax-H3-Image weights public? Is this P-H3-Image?
Yes, the official weights are public. huggingface.co/MiniMaxAI/MiniMax-H3-Image is ungated (created 2026-11-03T06:34:36Z; last modified 2026-11-11T00:30:36Z; 400 likes / 667 downloads in the 2026-11-11 API check; pipeline_tag text-to-image; card license other / minimax-h3-image-community-license-agreement). This is MiniMax’s own still-image checkpoint. It is not /models/p-h3-image/ (Pruna’s earlier MiniMax-H3 still-image pack) and not /models/pika-h3-flex/ (video). Compare MiniMax-H3-Image vs P-H3-Image.
Can I use it in the EU, UK, South Korea, or the United States?
The MiniMax-H3-Image Community License’s Applicable Territory excludes the European Union, the United Kingdom, the Republic of Korea, and the United States of America unless you obtain a separate MiniMax license. LICENSE §V.4 also says you may not use, reproduce, modify, distribute, or display the Works or their Outputs outside that territory. Annualized revenue over USD 1 million, or providing Hosted Service(s) to Third Parties, needs prior written authorization. Commercial UIs must display “MiniMax-H3-Image”. Not legal advice.
How big is it, and does 16 MP run on a workstation?
Card: ~33.1B dense DiT, 6 steps, native ~16 MP. Image-repo Model Zoo size 68.65 GB plus a ~66.7 GB MiniMax-H3 text encoder. Optional PE is 17.9 GB NVFP4. Hugging Face usedStorage on this card is ~190 GiB (duplicate diffusers trees). vLLM-Omni’s own recipe names a 14.7 GiB 1-GPU DLO peak at 2048² and 73.4 GiB without DiT offload — vendor, not a forkalt measurement, and not a native 4096² figure. runsLocally means the weights exist on a hub.
Does it beat P-H3-Image, FLUX 3 Image Klein, or Midjourney?
We have no sourced bake-off. Card “strongest instruction following among open-source models” and the 11 November 2026 blog’s “under 10 seconds” / “5× the speed of mainstream alternatives” sentences stay vendor. See MiniMax-H3-Image vs P-H3-Image. P-H3-Image already has a vs against FLUX 3 Image Klein; this page does not duplicate that pairing.
Sources & verification
- https://huggingface.co/MiniMaxAI/MiniMax-H3-Image
- https://huggingface.co/MiniMaxAI/MiniMax-H3-Image/raw/main/LICENSE
- https://huggingface.co/MiniMaxAI/MiniMax-H3-Image-PE
- https://huggingface.co/MiniMaxAI/MiniMax-H3
- https://www.minimax.io/blog/minimax-h3-image
- https://github.com/MiniMax-AI/MiniMax-H3-Image
- https://recipes.vllm.ai/MiniMaxAI/MiniMax-H3-Image
- https://blog.comfy.org/p/minimax-h3-image-is-now-available
- https://platform.minimax.io/docs/guides/image-generation
License notes are not legal advice. Read the original LICENSE. Trademark & disclaimer.