Instructions to use wangjian21/VG_14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_14 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_14") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5bddbce7f2ae03c43288f5177196d1ee5781b0a4bb70eae5ed65000906ff0c6c
- Size of remote file:
- 6.59 MB
- SHA256:
- 188fa82fbadb47fd56faa06ccfb13f2d909aa21b7fdbb6c2935cc4b4e3844e41
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