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keyurhirpara
/
text_to_WebPage

Text-to-Image
Diffusers
English
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use keyurhirpara/text_to_WebPage 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("keyurhirpara/text_to_WebPage")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee

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  • checkpoint-10
    End of training almost 2 years ago
  • checkpoint-20
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  • checkpoint-30
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  • checkpoint-40
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  • checkpoint-50
    End of training almost 2 years ago
  • .gitattributes
    1.66 kB
    End of training almost 2 years ago
  • README.md
    1.9 kB
    Update README.md almost 2 years ago
  • image_0.png
    936 kB
    End of training almost 2 years ago
  • image_1.png
    1.15 MB
    xet
    End of training almost 2 years ago
  • image_2.png
    1.12 MB
    xet
    End of training almost 2 years ago
  • image_3.png
    1.15 MB
    xet
    End of training almost 2 years ago
  • pytorch_lora_weights.safetensors
    11.8 MB
    xet
    End of training almost 2 years ago