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:
- 0bc4d67484fdb5d44fa15e69061823b121f2509be9fd1eefd9c0b9a183044c77
- Size of remote file:
- 4.42 MB
- SHA256:
- 26bc62c5ae41a2c45b7c94cfa234b0408cab9ac2ea4377f78115d83082c77755
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