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easydata2022
/
pose-control-lora

Text-to-Image
Diffusers
flux
flux-diffusers
control-lora
diffusers-training
lora
Model card Files Files and versions
xet
Community

Instructions to use easydata2022/pose-control-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use easydata2022/pose-control-lora 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("easydata2022/pose-control-lora")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
pose-control-lora
68.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
easydata2022's picture
easydata2022
End of training
1569fe3 verified 4 months ago
  • .gitattributes
    1.57 kB
    End of training 4 months ago
  • README.md
    1.1 kB
    End of training 4 months ago
  • pytorch_lora_weights.safetensors
    66.5 MB
    xet
    End of training 4 months ago
  • val_1_0_0.png
    2.4 MB
    xet
    End of training 4 months ago