Instructions to use wangjian21/VG_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_v2 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_v2") prompt = "Van Gogh" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- dbdd2ab7cb5f0c34583127086c6a3b6caa92d0804ae7af5539397f332a077481
- Size of remote file:
- 558 kB
- SHA256:
- 7c6f4be01681d3b9d99ff3fa72d03319c6ff954d8cc880ac66306e3d90c9bdb4
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