Instructions to use wangjian21/VG_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_10 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_10") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 69ad2c3ace5e1d1e6640e59f9265b56eb8ded47cab4c72b91460f053659b62fa
- Size of remote file:
- 531 kB
- SHA256:
- 4207851ee612c8548fa050683c5aef5dec1b14ba7718aa88505ace5e43105f2f
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