Instructions to use Disty0/sote-diffusion-cascade_alpha0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/sote-diffusion-cascade_alpha0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/sote-diffusion-cascade_alpha0", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 79e2877f22aa45207baa571cdb62f5df2a26a501502dac409d11219e780693d9
- Size of remote file:
- 1.39 GB
- SHA256:
- ce73a6f7c77eb438a9e494250b3a9a6b1d4e8b1e716d2235dcf399c28b17cc62
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