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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e8401898cd787411e6e4de871b689b4d02293b6b1e326ebc41ef24613702b243
- Size of remote file:
- 1.72 GB
- SHA256:
- 9a696e01b896bc87465090431d9ccd48e4d8ef7217e40c7120e1bada968b9f3a
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