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xgemstarx
/
hope_grey_model

Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
flux
flux-diffusers
template:sd-lora
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Diffusers

    How to use xgemstarx/hope_grey_model 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("xgemstarx/hope_grey_model")
    
    prompt = "a photo of xjhopex"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
hope_grey_model
2.06 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
xgemstarx's picture
xgemstarx
End of training
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  • .gitattributes
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  • README.md
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  • pytorch_lora_weights.safetensors
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