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 stage_b_bf16.safetensors from stabilityai/stable-cascade: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_bf16.safetensors
- Command line
-
hf download hf://stabilityai/stable-cascade/stage_b_bf16.safetensors
-
curl -L -o stage_b_bf16.safetensors https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_bf16.safetensors
3.13 GB
- Xet hash:
- 236ff2656401928f44a34be55848d441de103238ed3e798b26672df03816552e
- Size of remote file:
- 3.13 GB
- SHA256:
- 2c8d58b267678aecfa6705a0a0375c88613065a8a8d32ad3a4c3867f5461cb3a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.