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:
- 1fa0d6f279a020bade6ffef583b000cf338d66e383d35e9a092c2dd7a80697a4
- Size of remote file:
- 586 kB
- SHA256:
- c060bf1f523cad1e225b5b0d06374d7c992e58de80e36fa5e23f8a2df4b92ab4
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