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
Deploy MiniMax-H3-Image on ANY hardware with ultra-low cost!
#24
by Artiprocher - opened
Deploy MiniMax-H3-Image on ANY hardware with ultra-low cost!
https://modelscope.cn/models/DiffSynth-Studio/MiniMax-H3-Image-EntroPack
Fast, low-cost inference is now possible with EntroPack. Choose your checkpoint:
- 80GB VRAM: bf16_table_pruned.safetensors (Fully lossless pruned model)
- 24GB VRAM: dit_8bit_int8.safetensors (Near-lossless INT8 + ConvRot quantization)
- 8GB VRAM: dit_extreme_3bpp.safetensors (Extreme 3-bit quantized model)
ComfyUI workflows also available in the model repository. Try it now!