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multimodalart
/
MiniMax-H3-Pruned

Image-Text-to-Video
Diffusers
Safetensors
text-to-video
image-to-video
text-to-audio-video
image-to-audio-video
reference-to-audio-video
audio-video-generation
multimodal
lora
Model card Files Files and versions
xet
Community

Instructions to use multimodalart/MiniMax-H3-Pruned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use multimodalart/MiniMax-H3-Pruned 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", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("multimodalart/MiniMax-H3-Pruned")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
MiniMax-H3-Pruned
133 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 38 commits
multimodalart's picture
multimodalart HF Staff
Answer time_embedder.linear_1.weight.dtype for diffusers before #14398
1a0ef5e verified 7 days ago
  • text_encoder
    Add truncated text encoder (decoder layers 0-50) and point the index at it 7 days ago
  • transformer
    Answer time_embedder.linear_1.weight.dtype for diffusers before #14398 7 days ago
  • transformer_ref
    Answer time_embedder.linear_1.weight.dtype for diffusers before #14398 7 days ago
  • .gitattributes
    1.52 kB
    initial commit 14 days ago
  • README.md
    27.5 kB
    Answer time_embedder.linear_1.weight.dtype for diffusers before #14398 7 days ago
  • modular_model_index.json
    2.9 kB
    Add truncated text encoder (decoder layers 0-50) and point the index at it 7 days ago