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=[0.7])
 
 repo_customs = {
     "Default": repo_default,
@@ -74,23 +74,31 @@ def generate(input=DEFAULT_INPUT, filter_input="", negative_input=DEFAULT_NEGATI
     repo = repo_customs[model or "Default"]
     filter_input = filter_input or ""
     negative_input = negative_input or DEFAULT_NEGATIVE_INPUT
+    steps_set = steps
+    guidance_set = guidance
     seed = get_seed(seed)
 
     print(input, filter_input, negative_input, model, height, width, steps, guidance, number, seed)
-
+    
     if model == "Realistic":   
-        steps = (not steps or steps < 0 and 30) or steps
-        guidance = (not guidance or guidance < 0 and 7) or guidance
+        steps_set = 30
+        guidance_set = 7
     elif model == "Anime":   
-        steps = (not steps or steps < 0 and 16) or steps
-        guidance = (not guidance or guidance < 0 and 7) or guidance
+        steps_set = 16
+        guidance_set = 7
     elif model == "Pixel":   
-        steps = (not steps or steps < 0 and 8) or steps
-        guidance = (not guidance or guidance < 0 and 1.5) or guidance
+        steps_set = 4
+        guidance_set = 1.5
+    elif model == "Large":   
+        steps_set = 16
+        guidance_set = 3
     else:
-        steps = (not steps or steps < 0 and 16) or steps
-        guidance = (not guidance or guidance < 0 and 3) or guidance
-        
+        steps_set = 16
+        guidance_set = 3
+
+    steps = (not steps_set or steps_set < 0 and steps_set) or steps
+    guidance = (not guidance_set or guidance_set < 0 and guidance_set) or guidance
+    
     repo.to(DEVICE)
     
     parameters  = {