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
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: >- | |
| <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, | |
| parameters: | |
| negative_prompt: >- | |
| logo, text,word,cropped,low quality,normal | |
| quality,username,watermark,signature,blurry,soft,soft | |
| line,sketch,ugly,logo,pixelated,lowres, FastNegative | |
| output: | |
| url: images/livingroom_lora_exp1.png | |
| base_model: ByteDance/SDXL-Lightning | |
| instance_prompt: null | |
| # livingRoomLoRA | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/atacanpolat/livingRoomLoRA/tree/main) them in the Files & versions tab. | |