Instructions to use wangjian21/VG_100e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/VG_100e 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_100e") prompt = "Van Gogh's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 30bb41e6b310aa1a3298400aa7c6333e361a2afd87a8032510bb918b055ee3ea
- Size of remote file:
- 618 kB
- SHA256:
- 02db3fb62c310c3727573d804842042d1c9143e39f54d0b5f3beeb3b2a387326
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