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krissTewari
/
sd-kvasir-image-final

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

Instructions to use krissTewari/sd-kvasir-image-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use krissTewari/sd-kvasir-image-final with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("krissTewari/sd-kvasir-image-final")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee

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  • checkpoint-14000
    End of training about 1 year ago
  • checkpoint-28000
    End of training about 1 year ago
  • checkpoint-28500
    End of training about 1 year ago
  • .gitattributes
    1.71 kB
    End of training about 1 year ago
  • README.md
    1.2 kB
    End of training about 1 year ago
  • image_0.png
    394 kB
    xet
    End of training about 1 year ago
  • image_1.png
    413 kB
    xet
    End of training about 1 year ago
  • image_2.png
    432 kB
    xet
    End of training about 1 year ago
  • image_3.png
    842 Bytes
    xet
    End of training about 1 year ago
  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
    End of training about 1 year ago
  • submission_task2.py
    11.1 kB
    Update submission_task2.py about 1 year ago