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", 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:
- 3196af27ef21a2b53c2c75bc74fe3c20e54d82b4f56daf9f0a474b4b8d12f93d
- Size of remote file:
- 572 kB
- SHA256:
- a55c6a372f04cee054227141e981b5f26616e065de1ba0dff33e8302e9d0bf5e
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