Instructions to use wangjian21/VG_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_12 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_12") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7a054c1c60bc7fe3d482483b2fbf05043c3cdea2425c9dd80bee20407af65484
- Size of remote file:
- 6.59 MB
- SHA256:
- 341e5aaa4cbd683b05a7a55b71cee7e4ceeebf3d58f805ff23a3ebdad5f45e8a
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