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:
- 14b0aa7cd5c883e599cc3890bdd63fed2ec76c5c2e88d831a7a250ccfff3c1b5
- Size of remote file:
- 3.29 MB
- SHA256:
- 55d43a9bac833e3583855a4e6513970979127f028110301ba2adca2077c61b88
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