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 vqgan/diffusion_pytorch_model.bf16.safetensors from stabilityai/stable-cascade: direct link, hf CLI and curl.
- Browser
- Download file 36.8 MB
-
https://huggingface.co/stabilityai/stable-cascade/resolve/main/vqgan/diffusion_pytorch_model.bf16.safetensors
- Command line
-
hf download hf://stabilityai/stable-cascade/vqgan/diffusion_pytorch_model.bf16.safetensors
-
curl -L -o diffusion_pytorch_model.bf16.safetensors https://huggingface.co/stabilityai/stable-cascade/resolve/main/vqgan/diffusion_pytorch_model.bf16.safetensors
36.8 MB
- Xet hash:
- f7a2107a4d553a4631b12c615c1206f8503ffcc9e50f06e58948d90222a8718d
- Size of remote file:
- 36.8 MB
- SHA256:
- 3ac32fab5177329dac907b2480c8c00aeefc712dfd92c2d52263a9c64b426b26
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.