Instructions to use finnstrom3693/wuerstchen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use finnstrom3693/wuerstchen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("finnstrom3693/wuerstchen", 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:
- 852b89a3f692a29f394370b4ec68411aa76f5d6f393ff4eaa415241a1a816250
- Size of remote file:
- 2.11 GB
- SHA256:
- 5691820999485b22f413b27c9643ebd7464294cf765f9f372ba2c46ec144ccc6
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