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gauravparajuli
/
task2_demo

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

Instructions to use gauravparajuli/task2_demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use gauravparajuli/task2_demo with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("gauravparajuli/task2_demo", 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

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  • feature_extractor
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  • safety_checker
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.16 kB
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  • model_index.json
    643 Bytes
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  • submission_task2.py
    11.1 kB
    Upload submission_task2.py over 1 year ago