Instructions to use wangjian21/VG_100e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_100e 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_100e") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 395ef28ae59276c37c55e79d6d7cd730812a8b8d2f8484cd4e78991354208ebe
- Size of remote file:
- 623 kB
- SHA256:
- a0117781bf42078de30bed402a9d2d8e8380277ad8a07bfae545640d2779726a
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