Update app.py

app.py

@@ -19,9 +19,9 @@ vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype
 repo = "fluently/Fluently-XL-Final"
 
 pipe_best = StableDiffusionXLPipeline.from_pretrained(repo, torch_dtype=torch.float16, vae=vae)
-pipe_best.load_lora_weights("ehristoforu/dalle-3-xl-v2", weight_name="dalle-3-xl-lora-v2.safetensors", adapter_name="dalle2")
+pipe_best.load_lora_weights("ehristoforu/dalle-3-xl-v2", weight_name="dalle-3-xl-lora-v2.safetensors", adapter_name="dalle")
 pipe_best.load_lora_weights("KingNish/Better-Image-XL-Lora", weight_name="example-03.safetensors", adapter_name="lora")
-pipe_best.set_adapters(["lora","0.5"], adapter_weights=[1.5, 0.7])
+pipe_best.set_adapters(["lora","dalle"], adapter_weights=[1.5, 0.7])
 pipe_best.to("cuda")
 
 pipe_ori = StableDiffusionXLPipeline.from_pretrained(repo, torch_dtype=torch.float16, vae=vae)