Instructions to use finnstrom3693/stable-cascade-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use finnstrom3693/stable-cascade-lite with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("finnstrom3693/stable-cascade-lite", 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:
- 5044596abff39ce60e77f1631b2750d9d893b70675c15810a24974ac3b549127
- Size of remote file:
- 1.4 GB
- SHA256:
- 31999bea614e34ff96d6f15b48c7ff87383254705794366e95472faf8589ca2b
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