Update app.py

app.py

@@ -1,20 +1,24 @@
 import gradio as gr
 import random
 
-# prashanth970/flux-lora-uncensored
-# DiegoJR1973/NSFW-TrioHMH-Flux
-model = gr.load("models/pimpilikipilapi1/NSFW_master")
+# Load each model separately
+model1 = gr.load("models/pimpilikipilapi1/NSFW_master")
+model2 = gr.load("models/prashanth970/flux-lora-uncensored")
+model3 = gr.load("models/DiegoJR1973/NSFW-TrioHMH-Flux")
 
-def generate_image(text, seed, width, height, guidance_scale, num_inference_steps):
+def generate_images(text, seed, width, height, guidance_scale, num_inference_steps):
     if seed is not None:
         random.seed(seed)
 
-    result_image = model(text)
-    
+    # Generate images using each model
+    result_image1 = model1(text)
+    result_image2 = model2(text)
+    result_image3 = model3(text)
+
+    # Print parameters for debugging
     print(f"Width: {width}, Height: {height}, Guidance Scale: {guidance_scale}, Inference Steps: {num_inference_steps}")
     
-    return result_image
-
+    return result_image1, result_image2, result_image3
 
 def randomize_parameters():
     seed = random.randint(0, 999999)
@@ -25,9 +29,8 @@ def randomize_parameters():
     
     return seed, width, height, guidance_scale, num_inference_steps
 
-
 interface = gr.Interface(
-    fn=generate_image,
+    fn=generate_images,
     inputs=[
         gr.Textbox(label="Type here your imagination:", placeholder="Type or click an example..."),
         gr.Slider(label="Seed", minimum=0, maximum=999999, step=1),
@@ -36,9 +39,12 @@ interface = gr.Interface(
         gr.Slider(label="Guidance Scale", minimum=0.1, maximum=20.0, step=0.1, value=3.0),
         gr.Slider(label="Number of inference steps", minimum=1, maximum=40, step=1, value=28),
     ],
-    outputs=gr.Image(label="Generated Image"),
-    description="Sorry for the inconvenience. The model is currently running on the CPU, which might affect performance. We appreciate your understanding.",
+    outputs=[
+        gr.Image(label="Output 01"),
+        gr.Image(label="Output 02"),
+        gr.Image(label="Output 03")
+    ],
+    description="Generate images with three different models. Please note that the models are running on the CPU, which might affect performance. Thank you for your patience!",
 )
 
-
-interface.launch()
+interface.launch()