Instructions to use wangjian21/VG_300e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_300e 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_300e") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ced385b7c9b9f361a098b1021280a8a921a8993338040cee96d840b97055b639
- Size of remote file:
- 6.59 MB
- SHA256:
- c34a90e2c5eeaea297d25f6afd14f394b0e75f4ecaa537f310ad6c25d484c27e
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