Instructions to use CompVis/stable-diffusion-v1-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/stable-diffusion-v1-3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-3", 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:
- 96271847fb2d7a61129327e50a97d19a2ffccd328382efd50fc1a732a9874ad8
- Size of remote file:
- 246 MB
- SHA256:
- 77795e2023adcf39bc29a884661950380bd093cf0750a966d473d1718dc9ef4e
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