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joerose
/
msct-sct

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

Instructions to use joerose/msct-sct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use joerose/msct-sct 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("joerose/msct-sct")
    
    prompt = "An image meme of $sct standing in front of a whiteboard that says “rebrand = personality + pain”. $sct is holding a marker like a TED Talk speaker. Plain background."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
msct-sct
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  • 1 contributor
History: 2 commits
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joerose
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3a65c57 verified about 1 year ago
  • sample
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  • .gitattributes
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  • README.md
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  • dataset.toml
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  • msct-sct-000004.safetensors
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  • msct-sct-000008.safetensors
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  • msct-sct.safetensors
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  • sample_prompts.txt
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  • train.sh
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