Update app.py

app.py

@@ -1,43 +1,45 @@
+#model1 = gr.load("models/pimpilikipilapi1/NSFW_master")
+#model2 = gr.load("models/DiegoJR1973/NSFW-TrioHMH-Flux")
+#model3 = gr.load("models/prashanth970/flux-lora-uncensored")
+
 import gradio as gr
+import random
+import os
 
 
-model1 = gr.load("models/pimpilikipilapi1/NSFW_master")
-model2 = gr.load("models/DiegoJR1973/NSFW-TrioHMH-Flux")
-model3 = gr.load("models/prashanth970/flux-lora-uncensored")
+model = gr.load("models/pimpilikipilapi1/NSFW_master")
 
-def generate_images(text):
+def generate_image(text, seed, width, height, guidance_scale, num_inference_steps):
+    if seed is not None:
+        random.seed(seed)
 
-    result_image1 = model1(text)
-    result_image2 = model2(text)
-    result_image3 = model3(text)
+    result_image = model(text)
     
-
-    print(f"Result from model1: {type(result_image1)} - {result_image1}")
-    print(f"Result from model2: {type(result_image2)} - {result_image2}")
-    print(f"Result from model3: {type(result_image3)} - {result_image3}")
+    print(f"Width: {width}, Height: {height}, Guidance Scale: {guidance_scale}, Inference Steps: {num_inference_steps}")
     
-    if isinstance(result_image1, tuple):
-        result_image1 = result_image1[0]
-    if isinstance(result_image2, tuple):
-        result_image2 = result_image2[0]
-    if isinstance(result_image3, tuple):
-        result_image3 = result_image3[0]
+    return result_image
+
+def randomize_parameters():
+    seed = random.randint(0, 999999)
+    width = random.randint(512, 2048)
+    height = random.randint(512, 2048)
+    guidance_scale = round(random.uniform(0.1, 20.0), 1)
+    num_inference_steps = random.randint(1, 40)
     
-
-    return result_image1, result_image2, result_image3
-
+    return seed, width, height, guidance_scale, num_inference_steps
 
 interface = gr.Interface(
-    fn=generate_images,
+    fn=generate_image,
     inputs=[
-        gr.Textbox(label="Type here your imagination:", placeholder="Type or click an example..."),
-    ],
-    outputs=[
-        gr.Image(label="Model 1 Output"),
-        gr.Image(label="Model 2 Output"),
-        gr.Image(label="Model 3 Output")
+        gr.Textbox(label="Type here your imagination:", placeholder="Type your prompt..."),
+        gr.Slider(label="Seed", minimum=0, maximum=999999, step=1),
+        gr.Slider(label="Width", minimum=512, maximum=2048, step=64, value=1024),
+        gr.Slider(label="Height", minimum=512, maximum=2048, step=64, value=1024),
+        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),
     ],
-    theme="huggingface",
+    outputs=gr.Image(label="Generated Image"),
+    theme="NoCrypt/miku",
     description="Sorry for the inconvenience. The model is currently running on the CPU, which might affect performance. We appreciate your understanding.",
 )