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_c_bf16.safetensors from stabilityai/stable-cascade: direct link, hf CLI and curl.
- Browser
- Download file 7.18 GB
-
https://huggingface.co/stabilityai/stable-cascade/resolve/refs%2Fpr%2F44/stage_c_bf16.safetensors
- Command line
-
hf download hf://stabilityai/stable-cascade@refs/pr/44/stage_c_bf16.safetensors
-
curl -L -o stage_c_bf16.safetensors https://huggingface.co/stabilityai/stable-cascade/resolve/refs%2Fpr%2F44/stage_c_bf16.safetensors
7.18 GB
- Xet hash:
- 70ca2a01487bcecba9c34a625ad11458455f1eef4b5e9d2b9dab5925e407f36c
- Size of remote file:
- 7.18 GB
- SHA256:
- dfe24009fc881011f350d08d9d13be13a1a3b3cbfed667435efe0fd419aca099
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