Instructions to use diffusers/stable-diffusion-variants with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/stable-diffusion-variants with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/stable-diffusion-variants", 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
Download unet/diffusion_pytorch_model.non_ema.bin from diffusers/stable-diffusion-variants: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/diffusers/stable-diffusion-variants/resolve/main/unet/diffusion_pytorch_model.non_ema.bin
- Command line
-
hf download hf://diffusers/stable-diffusion-variants/unet/diffusion_pytorch_model.non_ema.bin
-
curl -L -o diffusion_pytorch_model.non_ema.bin https://huggingface.co/diffusers/stable-diffusion-variants/resolve/main/unet/diffusion_pytorch_model.non_ema.bin
3.44 GB
- Xet hash:
- 013b38249c223d01ddfcebfdf032df48156a9a33500c371f52d2e6a0a78a7be7
- Size of remote file:
- 3.44 GB
- SHA256:
- 5bba12a61ab5520e9e0bdedbed0736c2642a6ac21ded2996970ff91e00e521b6
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