Instructions to use wangjian21/VG_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wangjian21/VG_10") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a3763e76c94be1bca12cb1873127f5e11293ea7398dd394c5c15f678fe4ce513
- Size of remote file:
- 6.59 MB
- SHA256:
- 5c3bfa26b640ed2b81d89cdd0f1ffa4299eb382892a4f00b4f203794f622562e
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