Update app.py

app.py

@@ -5,7 +5,6 @@ model_1 = gr.load("models/pimpilikipilapi1/NSFW_master")
 model_2 = gr.load("models/DiegoJR1973/NSFW-TrioHMH-Flux")
 model_3 = gr.load("models/prashanth970/flux-lora-uncensored")
 
-
 default_negative_prompt = (
     "Extra limbs, Extra fingers or toes, Disfigured face, Distorted hands, Mutated body parts, "
     "Missing limbs, Asymmetrical features, Blurry face, Poor anatomy, Incorrect proportions, Crooked eyes, "
@@ -19,33 +18,42 @@ default_negative_prompt = (
 )
 
 
-def generate_image_model_1(prompt, negative_prompt):
-    prompt += " 2k"
+def process_image(model, prompt, negative_prompt=None, supports_negative_prompt=True):
     try:
-        return model_1(prompt, negative_prompt=negative_prompt)
-    except TypeError:
-        return model_1(prompt)
+        if "master" in str(model):
+            prompt += " 2k"
+        elif "Diego" in str(model):
+            prompt += " 8k"
+        else:
+            prompt += " 10k"
 
-def generate_image_model_2(prompt, negative_prompt):
-    prompt += " 8k"
-    try:
-        return model_2(prompt, negative_prompt=negative_prompt)
-    except TypeError:
-        return model_2(prompt)
 
-def generate_image_model_3(prompt, negative_prompt):
-    prompt += " 10k"
-    try:
-        return model_3(prompt, negative_prompt=negative_prompt)
+        if supports_negative_prompt and negative_prompt:
+            return model(prompt, negative_prompt=negative_prompt)
+        else:
+            return model(prompt)
     except TypeError:
-        return model_3(prompt)
+        return model(prompt)
+
+
+def generate_images(prompt, negative_prompt):
+
+    output_1 = process_image(model_1, prompt, negative_prompt, True)
+    output_2 = process_image(model_2, prompt, negative_prompt, False)
+    output_3 = process_image(model_3, prompt, negative_prompt, True)
+
+    outputs = []
+    for output in [output_1, output_2, output_3]:
+        if isinstance(output, tuple):
+            outputs.append(None)
+        else:
+            outputs.append(output)
+
+    return outputs
 
+# Gradio Interface
 interface = gr.Interface(
-    fn=lambda prompt, negative_prompt: (
-        generate_image_model_1(prompt, negative_prompt),
-        generate_image_model_2(prompt, negative_prompt),
-        generate_image_model_3(prompt, negative_prompt)
-    ),
+    fn=generate_images,
     inputs=[
         gr.Textbox(label="Type your prompt here: ✍️", placeholder="Describe what you want..."),
         gr.Textbox(label="Negative prompt:", value=default_negative_prompt),
@@ -60,4 +68,4 @@ interface = gr.Interface(
     description="⚠️ Sorry for the inconvenience. The model is currently running on the CPU, which might affect performance. We appreciate your understanding.",
 )
 
-interface.launch()
+interface.launch(share=True)