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:
- 1f013a2eff8a67c62c5e8b24270be54ee3102ff7e1c7b60ed7b3d787272ceaae
- Size of remote file:
- 507 kB
- SHA256:
- c02cf68b7f7c0c3f27418839da48057b9cb3933ca77c4ba74a5caddd2adf64c5
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