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MiniMaxAI
/
MiniMax-H3-Image

Text-to-Image
MiniMax H3
Diffusers
Safetensors
English
image-to-image
image-editing
image-generation
Model card Files Files and versions
xet
Community
12

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
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Q&A About the License

pinned
โค๏ธ๐Ÿ‘ 12
2
#3 opened about 21 hours ago by
ryanlee-dev

error with demo

#11 opened about 2 hours ago by
witcherderivia

The results using the BF16 model with the full text encoder are pretty good.

#10 opened about 3 hours ago by
fengjunwei

Test, comparison with the original MiniMax H3

๐Ÿ‘ 5
#9 opened about 4 hours ago by
Pvok

Is there a workflow planned transferring latent embeddings for image to video?

#7 opened about 7 hours ago by
testamentaddress01

Raw weights for LoRA training

๐Ÿ‘ 4
1
#6 opened about 16 hours ago by
stablellama

2 step lora

๐Ÿคฏ๐Ÿ‘ 6
1
#5 opened about 19 hours ago by
akhaliq

Thanks!

๐Ÿš€โค๏ธ 6
2
#4 opened about 21 hours ago by
Dunc4n1dah0
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