Instructions to use stabilityai/stable-cascade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-cascade 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", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download decoder_lite/diffusion_pytorch_model.safetensors from stabilityai/stable-cascade: direct link, hf CLI and curl.
- Browser
- Download file 2.8 GB
-
https://huggingface.co/stabilityai/stable-cascade/resolve/main/decoder_lite/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://stabilityai/stable-cascade/decoder_lite/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/stabilityai/stable-cascade/resolve/main/decoder_lite/diffusion_pytorch_model.safetensors
2.8 GB
- Xet hash:
- d9710be889241b80d8e15a1ef084be4fff0d709ea0d73e781921a986882166f3
- Size of remote file:
- 2.8 GB
- SHA256:
- 7dcb3fc8b1e3f2a1756503472043a7d6810003a418b60b08674633b20b452ffb
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