Instructions to use MnLgt/lucia_wing_chair_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MnLgt/lucia_wing_chair_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-inpainting", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MnLgt/lucia_wing_chair_lora") prompt = "sks chair" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- 8405c1a592ba2b08f9b3151a854b97dd83a25fe5c4532d19ef351ca49329044f
- Size of remote file:
- 14.3 kB
- SHA256:
- 54112c672aeaf2153530c126957fd614cf89b9aa7ee009963a34cd386dca3d46
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