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:
- 757e795bc4bc26550a6b383a93d077f35f17948264d63f2ea6f456e55b78b954
- Size of remote file:
- 6.59 MB
- SHA256:
- 7d040f01a8b3e2e3953949e4675411711ffa9d982286e639d2e78ff6d0c6eba6
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