Instructions to use Disty0/sote-diffusion-cascade-decoder_pre-alpha0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/sote-diffusion-cascade-decoder_pre-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-decoder_pre-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
- Draw Things
- DiffusionBee
- Xet hash:
- a9491ad4e61b29e922ab0b280bd15338e050ba474384ef1879d70819244d6337
- Size of remote file:
- 3.13 GB
- SHA256:
- 0fdf7e13d2a5352e5293f47419f3c2eceec31813f3b0029f7478f15cd52235e3
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