Instructions to use stabilityai/stable-cascade-prior with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-cascade-prior with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-cascade-prior", 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
Download figures/collage_1.jpg from stabilityai/stable-cascade-prior: direct link, hf CLI and curl.
- Browser
- Download file 1.51 MB
-
https://huggingface.co/stabilityai/stable-cascade-prior/resolve/main/figures/collage_1.jpg
- Command line
-
hf download hf://stabilityai/stable-cascade-prior/figures/collage_1.jpg
-
curl -L -o collage_1.jpg https://huggingface.co/stabilityai/stable-cascade-prior/resolve/main/figures/collage_1.jpg
1.51 MB

- Xet hash:
- 308bbedb8bae2dc48ead05a24288a120bc2607aaa7d1d6bd9291f399b10745e1
- Size of remote file:
- 1.51 MB
- SHA256:
- ec5fbc465bd5fa24755689283aca45478ce546a20af8ebcc068962b72a341e0b
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