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xiaohui2022
/
DB_SD_dog2_converted

Text-to-Image
Diffusers
StableDiffusionPipeline
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xet
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4

Instructions to use xiaohui2022/DB_SD_dog2_converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use xiaohui2022/DB_SD_dog2_converted with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("xiaohui2022/DB_SD_dog2_converted", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
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Add `scale_factor` to vae config.

#3 opened over 3 years ago by
valhalla

Add `clip_sample=False` to scheduler to make model compatible with DDIM.

#2 opened over 3 years ago by
patrickvonplaten

Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default

#1 opened over 3 years ago by
patrickvonplaten
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