Instructions to use Disty0/sotediffusion-wuerstchen3-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/sotediffusion-wuerstchen3-decoder 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/sotediffusion-wuerstchen3-decoder", 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:
- 89be8f717e19bd97a841d2a8c036a75ab00ebf734fc4570361c4f13cce7e5ad7
- Size of remote file:
- 3.13 GB
- SHA256:
- cd729c16fe27ef3366463d8a34e54f0fabc73f06a955c381711df85d0dc9f77f
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