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dataautogpt3
/
CALAMITY

Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
Model card Files Files and versions
xet
Community
1

Instructions to use dataautogpt3/CALAMITY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use dataautogpt3/CALAMITY with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("dataautogpt3/CALAMITY", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "7-Vectors, glitched skyline, high rise ruins, retrowave, occult, glitching, retrofuturistic, glitch art, artifacts, circuitry demon, glitched screen, synthetic, english, scanlines, chromatic aberration, bad quality, red-pink, crt, vhs, noise, grain, highly detailed, 4k, synthetic anime"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
CALAMITY
14.1 GB
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  • 1 contributor
History: 11 commits
dataautogpt3's picture
dataautogpt3
Update README.md
229fc28 verified almost 2 years ago
  • assets
    Upload ink.png almost 2 years ago
  • scheduler
    Upload 19 files almost 2 years ago
  • text_encoder
    Upload 19 files almost 2 years ago
  • text_encoder_2
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  • tokenizer
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  • tokenizer_2
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  • unet
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  • vae
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  • .gitattributes
    1.9 kB
    Upload ink.png almost 2 years ago
  • CALAMITY.safetensors
    7.14 GB
    xet
    Upload 19 files almost 2 years ago
  • README.md
    5.5 kB
    Update README.md almost 2 years ago
  • model_index.json
    712 Bytes
    Upload 19 files almost 2 years ago