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:
- 3bd5b40a0851043779b18e439ab54dc51ac787ed7e2dffe9f6983b73e7ddfbd1
- Size of remote file:
- 1.22 GB
- SHA256:
- 1bf4e3c0da74811cbcf5d88009e4e8c5d433daa624a3cf86d68acc3305f0df0b
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