Instructions to use atacanpolat/livingRoomLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use atacanpolat/livingRoomLoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/SDXL-Lightning", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("atacanpolat/livingRoomLoRA") prompt = "<lora:JJsLivingRoom_XL:1>, ((Living Room)) ((best quality)),((masterpiece)),((realistic)), , indoors,cup,pillow,no humans,window,chair,table,sunlight,plant,curtains,scenery,couch,wooden floor,potted plant,television,carpet,rug,reflection,glass,bottle," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
livingRoomLoRA

- Prompt
- <lora:JJsLivingRoom_XL:1>, ((Living Room)) ((best quality)),((masterpiece)),((realistic)), , indoors,cup,pillow,no humans,window,chair,table,sunlight,plant,curtains,scenery,couch,wooden floor,potted plant,television,carpet,rug,reflection,glass,bottle,
- Negative Prompt
- logo, text,word,cropped,low quality,normal quality,username,watermark,signature,blurry,soft,soft line,sketch,ugly,logo,pixelated,lowres, FastNegative
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for atacanpolat/livingRoomLoRA
Base model
ByteDance/SDXL-Lightning