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linoyts
/
poptart_lora_v1

Text-to-Image
Diffusers
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
template:sd-lora
Model card Files Files and versions
xet
Community
1

Instructions to use linoyts/poptart_lora_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use linoyts/poptart_lora_v1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("linoyts/poptart_lora_v1")
    
    prompt = "a <s0><s1> pack of pop tarts in the flavor of ramen"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
poptart_lora_v1
390 MB
Ctrl+K
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  • 1 contributor
History: 13 commits
linoyts's picture
linoyts HF Staff
Update README.md
45eed84 verified about 2 years ago
  • .gitattributes
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  • README.md
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  • image (126).png
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  • image_0.png
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  • poptart_lora_v1.safetensors
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  • poptart_lora_v1_emb.safetensors
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  • pytorch_lora_weights.safetensors
    186 MB
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