Instructions to use wangjian21/VG_16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_16 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_16") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3c6f92afb0024f2db3353748d3d3a15a42fc13c11269c4105147bae3886a7282
- Size of remote file:
- 6.59 MB
- SHA256:
- c4be1b1f90dc386c500a45741817ebbe3c562c6fa2de9c148ba1b95476aadff6
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