Instructions to use wujia/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wujia/out with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wujia/out") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e41b27bf144e5cfb20abad653a5a4a1f8e10b6383717ca0d64b51388fff2dcdd
- Size of remote file:
- 3.29 MB
- SHA256:
- 7575b2fff8c026e3e77421f18a20daf660a705c72c57e5a6c1e4c53fa965ab97
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