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PricedAsh
/
tomato-model

Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Model card Files Files and versions
xet
Community
1

Instructions to use PricedAsh/tomato-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use PricedAsh/tomato-model with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("PricedAsh/tomato-model", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of a 00_21 tomato plant"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
tomato-model / checkpoint-2000 /text_encoder
1.36 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
PricedAsh's picture
PricedAsh
26677baf010cfeddf64d86c6e6251c765eb96dfe457cbeb2223f01079beb7f45
49f2357 almost 3 years ago
  • config.json
    610 Bytes
    fefcd40056bcefde437f7c4d81cda0441bdf9e347752047f123ed713577b0a57 almost 3 years ago
  • pytorch_model.bin
    1.36 GB
    xet
    26677baf010cfeddf64d86c6e6251c765eb96dfe457cbeb2223f01079beb7f45 almost 3 years ago