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anic87
/
well

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use anic87/well with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use anic87/well with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("anic87/well", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of sks well-differentiated-adenocarcinoma"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
well
26.1 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
anic87's picture
anic87
End of training
5e21846 about 3 years ago
  • checkpoint-1000
    End of training about 3 years ago
  • checkpoint-500
    End of training about 3 years ago
  • feature_extractor
    End of training about 3 years ago
  • logs
    End of training about 3 years ago
  • safety_checker
    End of training about 3 years ago
  • scheduler
    End of training about 3 years ago
  • text_encoder
    End of training about 3 years ago
  • tokenizer
    End of training about 3 years ago
  • unet
    End of training about 3 years ago
  • vae
    End of training about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    602 Bytes
    End of training about 3 years ago
  • model_index.json
    584 Bytes
    End of training about 3 years ago