Instructions to use wangjian21/VG_14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_14 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_14") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 4c6a951fe550e451fcf7f98132fcbf12c1d1f548dd07c49331c3053fb2dffaf6
- Size of remote file:
- 544 kB
- SHA256:
- d05962303e6f5f76ccf7c242c98600137cd04bd141c16135c37ef3e51ca9424a
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