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:
- 7f6c7f4b687a4b84184583089533c5b76adb4a8d4c886b3ac6fb5daf747dff55
- Size of remote file:
- 1.4 kB
- SHA256:
- 3474221847d4f346854c7187736289d8f1a6871cc53ace732ecbfcff42171d9e
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