Instructions to use sanaa-11/stable-cascade-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sanaa-11/stable-cascade-decoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sanaa-11/stable-cascade-decoder", 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
- Xet hash:
- d9710be889241b80d8e15a1ef084be4fff0d709ea0d73e781921a986882166f3
- Size of remote file:
- 2.8 GB
- SHA256:
- 7dcb3fc8b1e3f2a1756503472043a7d6810003a418b60b08674633b20b452ffb
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