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ParisNeo
/
MiniMax-H3-FL2VA-FP8

Image-to-Video
Diffusers
Safetensors
English
MiniMaxH3ModularPipeline
vllm
vllm-omni
fp8
text-to-video
minimax
quantized
lollms
Model card Files Files and versions
xet
Community

Instructions to use ParisNeo/MiniMax-H3-FL2VA-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ParisNeo/MiniMax-H3-FL2VA-FP8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image, export_to_video
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ParisNeo/MiniMax-H3-FL2VA-FP8", dtype=torch.bfloat16, device_map="cuda")
    pipe.to("cuda")
    
    prompt = "A man with short gray hair plays a red electric guitar."
    image = load_image(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
    )
    
    output = pipe(image=image, prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
MiniMax-H3-FL2VA-FP8 / tokenizer
11.5 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
ParisNeo's picture
ParisNeo
Upload FP8 quantized MiniMax-H3 FL2VA partition with compliant model card
2c4f8e9 verified 3 days ago
  • merges.txt
    1.67 MB
    Upload FP8 quantized MiniMax-H3 FL2VA partition with compliant model card 3 days ago
  • tokenizer.json
    7.03 MB
    Upload FP8 quantized MiniMax-H3 FL2VA partition with compliant model card 3 days ago
  • tokenizer_config.json
    11 kB
    Upload FP8 quantized MiniMax-H3 FL2VA partition with compliant model card 3 days ago
  • vocab.json
    2.78 MB
    Upload FP8 quantized MiniMax-H3 FL2VA partition with compliant model card 3 days ago