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", torch_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:
- d72abfd0b11aa602f2934c9c8628f3911ba839b6423608dc90e1560c1ee7454f
- Size of remote file:
- 580 kB
- SHA256:
- fb9e9f3b9c1a2de90ac18fe1471995f2363fa8b576caecc943a177165433592f
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