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Gemneye
/
D0rota

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use Gemneye/D0rota with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Gemneye/D0rota 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("Gemneye/D0rota")
    
    prompt = "D0rota a woman wearing an elegant dark green dress stands at a bustling evening gala, laughing and holding a champagne flute while chatting with friends."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
D0rota
3.93 GB
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  • 1 contributor
History: 3 commits
Gemneye's picture
Gemneye
Upload D0rota_Qwen.safetensors
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  • .gitattributes
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  • D0rota-Flux-3000.safetensors
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  • D0rota_Qwen.safetensors
    1.18 GB
    xet
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  • README.md
    622 Bytes
    initial commit 6 months ago