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
Download assets/showcase_hero.jpg from MiniMaxAI/MiniMax-H3-Image: direct link, hf CLI and curl.
- Browser
- Download file 1.26 MB
-
https://huggingface.co/MiniMaxAI/MiniMax-H3-Image/resolve/main/assets/showcase_hero.jpg
- Command line
-
hf download hf://MiniMaxAI/MiniMax-H3-Image/assets/showcase_hero.jpg
-
curl -L -o showcase_hero.jpg https://huggingface.co/MiniMaxAI/MiniMax-H3-Image/resolve/main/assets/showcase_hero.jpg
1.26 MB

- Xet hash:
- c83dd7969f6ceabc14911bc7e56368e0b401eb2d3a7560e950204cb3d112569e
- Size of remote file:
- 1.26 MB
- SHA256:
- fbcb0a3292548856d4906dfd7b22a7608da8d118357ae07ae417a9931dfcc8c7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.