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]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
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ByteDance/SDXL-Lightning