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cocktailpeanut
/
makima

Text-to-Image
Diffusers
flux
lora
template:sd-lora
fluxgym
Model card Files Files and versions
xet
Community

Instructions to use cocktailpeanut/makima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use cocktailpeanut/makima with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("cocktailpeanut/makima")
    
    prompt = "mkm is playing chess"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
makima
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  • 1 contributor
History: 3 commits
cocktailpeanut's picture
cocktailpeanut
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  • sample
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  • .gitattributes
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  • README.md
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  • dataset.toml
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  • makima-000004.safetensors
    39.8 MB
    xet
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  • makima-000008.safetensors
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    xet
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  • makima-000012.safetensors
    39.8 MB
    xet
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  • makima.safetensors
    39.8 MB
    xet
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  • sample_prompts.txt
    109 Bytes
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  • train.bat
    1.37 kB
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