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
- Draw Things
- DiffusionBee
- Xet hash:
- aee4de19ef20cb14ac85b351df84db01be547bad97a0372c7a5f2e4a693c9bcd
- Size of remote file:
- 492 MB
- SHA256:
- 9cea0ad7c8e8c077f487c19a454943943b4e010f76db6fda360ce1f2e981eb9e
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