Instructions to use Disty0/sote-diffusion-cascade_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_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_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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- eb3a23e3991a48f527c6200b8b1e1e1efa2003bba1db34b5463c9ad91915cbd5
- Size of remote file:
- 608 MB
- SHA256:
- 891f2369f0cf4c591c546639a966729440ff77f7956e857996d80edb510fc984
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