Instructions to use wangjian21/VG_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_v2 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_v2") prompt = "Van Gogh" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 21957c20b7a23ae7819b79d837dfeccd075eadc7b76759b93b6e1d209df13671
- Size of remote file:
- 6.59 MB
- SHA256:
- 28096269491bf33172bef7fe8f990bdb1e4dba00a95f81f7aaab34f78cf1ef3b
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