Text-to-Image
MiniMax H3
Diffusers
Safetensors
English
image-to-image
image-editing
image-generation
Instructions to use MiniMaxAI/MiniMax-H3-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MiniMaxAI/MiniMax-H3-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3-Image", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Test, comparison with the original MiniMax H3
#9
by Pvok - opened
Thanks for the model, it's really impressive!
Here's a quick comparison with the original MiniMax H3.
The level of detail has improved significantly, and it now feels like a fully capable image generation model. This is what we were missing.
The only thing I've noticed is that character likeness seems slightly worse. The video model still does a better job of preserving character identity and resemblance.
Which is a bit of a shame, since that was one of the model's strong points.



