Instructions to use wangjian21/VG_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_4 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_4") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 0a698ad41f1fbc08dd6f9095e6de02ee0ab4a821da1d1ae15fc16d169a58767c
- Size of remote file:
- 583 kB
- SHA256:
- 2867459c029c52cb8d1e48f8be805d77e67116466f6ba7d0789b26bf5af1c0dc
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