Update app.py

app.py

@@ -41,9 +41,7 @@ footer {
 
 repo_nsfw_classifier = pipeline("image-classification", model="Falconsai/nsfw_image_detection")
 
-repo_default = DiffusionPipeline.from_pretrained("fluently/Fluently-XL-Final", device=DEVICE, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
-repo_default.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
-repo_default.set_adapters(["base"], adapter_weights=[0.7])
+repo_default = DiffusionPipeline.from_pretrained("fluently/Fluently-XL-Final", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
 
 # repo_large = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, add_watermarker=False, revision="refs/pr/1")
 # repo_large.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
@@ -101,6 +99,10 @@ def generate(input=DEFAULT_INPUT, filter_input="", negative_input=DEFAULT_NEGATI
     else:
         steps_set = 25
         guidance_set = 7
+        print("1")
+        repo.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
+        repo.set_adapters(["base"], adapter_weights=[0.7])
+        print(2)
 
     if not steps:
         steps = steps_set