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karel-ml6
/
indu

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionInstructPix2PixPipeline
stable-diffusion
stable-diffusion-diffusers
instruct-pix2pix
diffusers-training
lora
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use karel-ml6/indu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use karel-ml6/indu with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("karel-ml6/pix2pix", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("karel-ml6/indu")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
indu
8.65 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
karel-ml6's picture
karel-ml6
End of training
3bdba86 verified about 1 year ago
  • checkpoint-10
    End of training about 1 year ago
  • feature_extractor
    End of training about 1 year ago
  • logs
    End of training about 1 year ago
  • scheduler
    End of training about 1 year ago
  • text_encoder
    End of training about 1 year ago
  • tokenizer
    End of training about 1 year ago
  • unet
    End of training about 1 year ago
  • vae
    End of training about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    946 Bytes
    End of training about 1 year ago
  • model_index.json
    638 Bytes
    End of training about 1 year ago
  • pytorch_lora_weights.safetensors
    3.36 MB
    xet
    End of training about 1 year ago