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:
- 17576b77cecec839ac2a24710184ee30e74e459b29dcfb2de3f07915cc5de3e8
- Size of remote file:
- 1.39 GB
- SHA256:
- 9efaa04c511b370dce8261ebe88be9a5bf50536dd3525fa25286d957c2285e88
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