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:
- 681cb84caf1f0e82f1e1f9e6e727104089c61dc24515fb77357c05b330e93aa2
- Size of remote file:
- 6.59 MB
- SHA256:
- db41d994809e5f8529e671aba0c50a43f81da4cb8f97d94a9ad9f0fe22a251dc
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