Instructions to use wangjian21/VG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG 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") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 9ef8351f02739f1dfd60f9de6d41a729a75411b4f18d4a17082082a97dbd19c4
- Size of remote file:
- 585 kB
- SHA256:
- 4f704eceb18d982fa09682b4fa7462680d3b99867e074a757d6daf4eb01e78d4
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