Instructions to use lora-library/artdecodsgn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/artdecodsgn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/artdecodsgn") prompt = "Artdecodesign" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 89019ae0b51bf90b5214f478f495ae24a72e6e8470077f56795f057d24f756cc
- Size of remote file:
- 3.42 MB
- SHA256:
- 91c0f96a7878e0a3392c6cd78104595956395f90db72e73adc4671b8caf552f6
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