MiniMaxAI/MiniMax-H3-Image-PE
text-generation model by MiniMaxAI
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Model card & documentation
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Use MiniMax-H3-Image directly via API. API docs: MiniMax-H3-Image-PE provides prompt expansion (PE) for MiniMax-H3-Image. It turns a short request into a detailed description of the intended image, together with an aspect-ratio recommendation for image generation. This repository covers two workflows: The examples below explain how to use MiniMax-H3-Image-PE and the image editing task prompt. Run the examples from a local copy of this repository so the relative prompt and script paths resolve correctly. We recommend SGLang with sglang>=0.5.23 and xgrammar>=0.2.7. SGLang reads the FP4 configuration from the checkpoint. XGrammar constrains the answer to the JSON schema, and the reasoning parser separates reasoning from the final answer. Load the task prompt and insert your instruction with .format(userquery): Send it with the system prompt and request parameters: The included client performs the same request and checks the response: The examples load the defaults from prompt/t2i/requestparams.json: With --reasoning-parser qwen3, message.content contains the JSON…
Read the full model card ↗ · Preview checked 2026-11-12T10:23:14.344Z
Inside the original model card — Document outline
- MiniMax-H3-Image-PE
- Online API
- Introduction
- How to use T2I PE
- Serve MiniMax-H3-Image-PE
- Expand a prompt
- Request parameters
- Output
- How to use Image editing PE
- Inputs
- Assemble the message
- Output
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Model overview
MiniMaxAI/MiniMax-H3-Image-PE is a text-generation model repository published by MiniMaxAI on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 1,668
- Cumulative likes
- 63
- Hugging Face trending score
- 63
- Reported safetensors parameters
- 27,356,728,560
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-08T15:35:23.000Z
- Last modified
- 2026-11-10T15:16:06.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen3.8-27B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-14T06:56:53.534Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.