Update app.py

app.py

@@ -44,8 +44,8 @@ repo_pixel.load_lora_weights("nerijs/pixel-art-xl", adapter_name="base2")
 repo_pixel.set_adapters(["base", "base2"], adapter_weights=[1, 1])
 
 repo_large = StableDiffusionXLPipeline.from_pretrained("Corcelio/mobius", vae=vae, controlnet=controlnet, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
-# repo_large.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
-# repo_large.set_adapters(["base"], adapter_weights=[0.7])
+repo_large.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
+repo_large.set_adapters(["base"], adapter_weights=[0.5])
 
 repo_customs = {
     "Default": repo_default,
@@ -90,8 +90,8 @@ def generate(input=DEFAULT_INPUT, filter_input="", negative_input=DEFAULT_NEGATI
         steps_set = 8
         guidance_set = 1.5
     elif model == "Large":   
-        steps_set = 24
-        guidance_set = 3
+        steps_set = 16
+        guidance_set = 7
     else:
         steps_set = 16
         guidance_set = 3