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
- Draw Things
- DiffusionBee
- Xet hash:
- 8d7a1ddbc687fb8fd680ce15bfba8bbb0f942b521e163211e1a06a30bef95f50
- Size of remote file:
- 3.29 MB
- SHA256:
- c1ce96621121dcb1a2d847e36ce2c439323f7b434759213543dab32fcb7de51f
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