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tirthadagr8
/
T2I_UNet

Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Model card Files Files and versions
xet
Community

Instructions to use tirthadagr8/T2I_UNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use tirthadagr8/T2I_UNet with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("tirthadagr8/T2I_UNet", dtype=torch.bfloat16, device_map="cuda")
    
    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
T2I_UNet
2.88 GB
Ctrl+K
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  • 1 contributor
History: 11 commits
tirthadagr8's picture
tirthadagr8
Upload diffusion_pytorch_model.safetensors
9dbe563 verified 9 months ago
  • feature_extractor
    Upload 13 files 9 months ago
  • scheduler
    Update scheduler/scheduler_config.json 9 months ago
  • text_encoder
    Upload 13 files 9 months ago
  • tokenizer
    Upload 13 files 9 months ago
  • unet
    Upload diffusion_pytorch_model.safetensors 9 months ago
  • vae
    Upload 13 files 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    24 Bytes
    initial commit 9 months ago
  • model_index.json
    421 Bytes
    Update model_index.json 9 months ago