Instructions to use wangjian21/VG_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_4 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_4") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 24d8964d027bf2acedf5fa7cc0d799e93e1f12949798eaa9d821ab91e466499c
- Size of remote file:
- 6.59 MB
- SHA256:
- e8e1ac806d2d25c8c51e2c6ce13df5e6dfd6435666db9c92639d43b49df7d1d2
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