Instructions to use wangjian21/VG_200e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_200e 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_200e") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- ab3912e36a2d1e7e5ed1be64b44bfafbd383f12578b6671df74edd67fffc8fef
- Size of remote file:
- 614 kB
- SHA256:
- 425dded0dbec31341d1054394611a60d0ac26f7d4f40266ad1850dc4273fe619
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