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:
- 9715d44a42a4116fd0c959ebf3ff2a2d26ba9509bcba95f0aa29e0057031a300
- Size of remote file:
- 571 kB
- SHA256:
- cd3e8b5d4db6f41bb02695c7e30886a415011780036d4c7120b51186a51c9799
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