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Yntec
/
SCMix

Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Style
Getsc
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Diffusers

    How to use Yntec/SCMix with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Yntec/SCMix", 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
SCMix / unet
5.16 GB
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  • 1 contributor
History: 1 commit
Yntec's picture
Yntec
Adding `diffusers` weights of this model (#1)
47e5600 over 2 years ago
  • config.json
    1.74 kB
    Adding `diffusers` weights of this model (#1) over 2 years ago
  • diffusion_pytorch_model.fp16.safetensors
    1.72 GB
    xet
    Adding `diffusers` weights of this model (#1) over 2 years ago
  • diffusion_pytorch_model.safetensors
    3.44 GB
    xet
    Adding `diffusers` weights of this model (#1) over 2 years ago