Update app.py

app.py

@@ -10,12 +10,8 @@ from diffusers import DiffusionPipeline, StableDiffusionXLPipeline, EDMEulerSche
 from huggingface_hub import hf_hub_download
 from huggingface_hub import InferenceClient
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
-dtype = torch.float16
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
-
-repo = "fluently/Fluently-XL-Final"
-pipe = StableDiffusionXLPipeline.from_pretrained(repo, torch_dtype=torch.float16, vae=vae)
+pipe = StableDiffusionXLPipeline.from_pretrained("RunDiffusion/Juggernaut-XL-v9", torch_dtype=torch.float16, vae=vae)
 pipe.load_lora_weights("KingNish/Better-Image-XL-Lora", weight_name="example-03.safetensors", adapter_name="lora")
 pipe.set_adapters("lora")
 pipe.to("cuda")