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j4c03m1ll
/
crispychristy2

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

Instructions to use j4c03m1ll/crispychristy2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use j4c03m1ll/crispychristy2 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("j4c03m1ll/crispychristy2")
    
    prompt = "CRISPYCHRISTY sitting on her couch --d 99"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
crispychristy2
193 MB
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  • 1 contributor
History: 2 commits
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j4c03m1ll
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  • sample
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  • .gitattributes
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  • README.md
    1.19 kB
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  • crispychristy-000004.safetensors
    39.8 MB
    xet
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  • crispychristy-000008.safetensors
    39.8 MB
    xet
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  • crispychristy-000012.safetensors
    39.8 MB
    xet
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  • crispychristy.safetensors
    39.8 MB
    xet
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  • dataset.toml
    267 Bytes
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  • sample_prompts.txt
    156 Bytes
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  • train.sh
    1.26 kB
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