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", torch_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:
- 789cbb3accbf09acb95f532af6ff3a820ec90a09c214c8a96808f00873015266
- Size of remote file:
- 6.59 MB
- SHA256:
- 393981aad81ae63616b3cc7552db29f49910a89feaa44ce3cd4fc76abc7aa0df
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