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:
- 99f518fb88d9a80fbba7c0b92774c78687a7657869f290ab68ea44fc9f08330c
- Size of remote file:
- 1.72 GB
- SHA256:
- 99d5187fadb9df08adc9398f555eb70d7fb953f44a6ceff1c704a77ba0b86cae
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