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
Poor name. Its hard to find information about it due to it being confused with h3 vision model
#27
by BrokeAmerican - opened
For the image generation they should of called it something besides h3.
This is simply a derivative model based on the H3 video model. The next release will be the H3.1 video model, and we may then see an H3.1 image model as well. The purpose is to make it easier to maintain consistent assets across the entire video production process.
This is simply a derivative model based on the H3 video model. The next release will be the H3.1 video model, and we may then see an H3.1 image model as well. The purpose is to make it easier to maintain consistent assets across the entire video production process.
H3.1 video model when? soon or it takes sometime?