Instructions to use W-Shuoyan/OSDEnhancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use W-Shuoyan/OSDEnhancer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("W-Shuoyan/OSDEnhancer", 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

- Xet hash:
- 59235cf83920e1bb91fb8f5cc21b571b31db62f8a7acef3e657493771babd373
- Size of remote file:
- 1.16 MB
- SHA256:
- b2a872bc3b480c51f6523fa305be13f368f44d039f3192722f6c369deb6ca2ce
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