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yvesfogel
/
chelomac

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

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

  • Libraries
  • Diffusers

    How to use yvesfogel/chelomac 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("yvesfogel/chelomac")
    
    prompt = "This is a photo of CHELOMAC wearing a blue shirt, with a friendly smile, against a neutral gray background. The CHELOMAC has a relaxed posture, with soft, even lighting highlighting the details."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
chelomac / sample
3.24 MB
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  • 2 contributors
History: 1 commit
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yvesfogel
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