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iamkaikai
/
MiniMax-H3-Single-Frame-VAE-500K

Diffusers
MiniMax H3
vae
decoder
image-reconstruction
single-frame
experimental
Model card Files Files and versions
xet
Community
2

Instructions to use iamkaikai/MiniMax-H3-Single-Frame-VAE-500K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use iamkaikai/MiniMax-H3-Single-Frame-VAE-500K with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("iamkaikai/MiniMax-H3-Single-Frame-VAE-500K", 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
MiniMax-H3-Single-Frame-VAE-500K
9.74 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
iamkaikai's picture
iamkaikai
Delete vae
eada4e7 verified 2 months ago
  • examples
    Add T2I results gallery 2 months ago
  • source-fixtures-hard-v1
    Add fixed hard generation suite and visual analysis 2 months ago
  • source-fixtures
    Initial release: 500K single-frame decoder 2 months ago
  • README.md
    16.7 kB
    Add T2I results gallery 2 months ago
  • example-prompts.json
    2.25 kB
    Initial release: 500K single-frame decoder 2 months ago
  • hard-example-prompts-v1.json
    5 kB
    Add fixed hard generation suite and visual analysis 2 months ago
  • load_decoder.py
    2.2 kB
    Initial release: 500K single-frame decoder 2 months ago
  • minimax_h3_single_frame_decoder_500k.safetensors
    9.69 GB
    xet
    Initial release: 500K single-frame decoder 2 months ago
  • requirements.txt
    155 Bytes
    Initial release: 500K single-frame decoder 2 months ago