Instructions to use wangjian21/VG_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_8 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_8") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 441a21b1884fa3d19c70902dd4f6d989302b5941b5e3fdc052796c4eea360e40
- Size of remote file:
- 6.59 MB
- SHA256:
- e8c0fad2bb24d66c04fc19bf43d075fee3a04e3001999b5c7f7b7d45b34f82c5
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