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Autodraft
/
CM2000112

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

Instructions to use Autodraft/CM2000112 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Autodraft/CM2000112 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Autodraft/CM2000112", 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
  • Draw Things
  • DiffusionBee
CM2000112 / external /llite /tools
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  • 3 contributors
History: 1 commit
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jayparmr
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  • cache_latents.py
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  • cache_text_encoder_outputs.py
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  • canny.py
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  • convert_diffusers20_original_sd.py
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  • detect_face_rotate.py
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  • merge_models.py
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  • original_control_net.py
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  • resize_images_to_resolution.py
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  • show_metadata.py
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