Instructions to use CompVis/stable-diffusion-v1-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/stable-diffusion-v1-1 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-v1-1", 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:
- 7017fac018f06d4bf66a62ee3c40b3c4afc53ab598085afcc43916c42d54c56e
- Size of remote file:
- 1.72 GB
- SHA256:
- a531a6220fa188d680c64969b52d4d55a586d8af7b48e4a91d4e53294c1c19c0
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