Instructions to use SY573M404/f222-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SY573M404/f222-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SY573M404/f222-diffusers", 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:
- 0f87cd19a9a2d5d5b5da268de8760481576edbc0a522eca3454d0dc23033eb40
- Size of remote file:
- 492 MB
- SHA256:
- 76e6fa541231ed2bc46e2f346ebde4f7f960dc440331853175cb2fdef9393a02
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