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:
- 526fcd1cfb90045fe4dba535fb179beceb1b1fcf62fe38825b58d4378506e109
- Size of remote file:
- 3.42 MB
- SHA256:
- 19f18114753d7400081c8fe3387efb30d6958f83b36ca69c27b1671bd8a64612
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