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orrzohar
/
BLIP3o-4B-Diffusion-Decoder

Diffusers
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EmuVisualGenerationPipeline
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xet
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Instructions to use orrzohar/BLIP3o-4B-Diffusion-Decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use orrzohar/BLIP3o-4B-Diffusion-Decoder with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("orrzohar/BLIP3o-4B-Diffusion-Decoder", 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
BLIP3o-4B-Diffusion-Decoder
5.83 GB
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  • 1 contributor
History: 17 commits
orrzohar's picture
orrzohar
Upload safety_checker_none/config.json with huggingface_hub
b8a9536 verified 6 months ago
  • feature_extractor
    Upload feature_extractor/preprocessor_config.json with huggingface_hub 6 months ago
  • safety_checker_none
    Upload safety_checker_none/config.json with huggingface_hub 6 months ago
  • scheduler
    Upload scheduler/scheduler_config.json with huggingface_hub 6 months ago
  • tokenizer
    Upload tokenizer/tokenizer.json with huggingface_hub 6 months ago
  • unet
    Upload unet/config.json with huggingface_hub 6 months ago
  • vae
    Upload vae/diffusion_pytorch_model.bf16.safetensors with huggingface_hub 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    4.16 kB
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  • model_index.json
    607 Bytes
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  • pipeline_llava_gen.py
    11 kB
    Upload pipeline_llava_gen.py with huggingface_hub 6 months ago