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:
- 96e315937f828c4dbda4a88d3990bbffe8c2c08a1d1a4aceaaf0f4f85ee4ce5b
- Size of remote file:
- 6.59 MB
- SHA256:
- e2c9b0c9cf66e071094aa53948768985d9b7d0662513edcfe9c49d53dcf64b92
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