Update app.py

app.py

@@ -1,13 +1,11 @@
 import gradio as gr
 import numpy as np
 import random
-
-# import spaces #[uncomment to use ZeroGPU]
 from diffusers import DiffusionPipeline
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
+model_repo_id = "stabilityai/sdxl-turbo"
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -20,8 +18,6 @@ pipe = pipe.to(device)
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
-
-# @spaces.GPU #[uncomment to use ZeroGPU]
 def infer(
     prompt,
     negative_prompt,
@@ -31,25 +27,35 @@ def infer(
     height,
     guidance_scale,
     num_inference_steps,
+    num_images,  # নতুন প্যারামিটার: কতগুলো ইমেজ জেনারেট করতে হবে
     progress=gr.Progress(track_tqdm=True),
 ):
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-
-    generator = torch.Generator().manual_seed(seed)
-
-    image = pipe(
-        prompt=prompt,
-        negative_prompt=negative_prompt,
-        guidance_scale=guidance_scale,
-        num_inference_steps=num_inference_steps,
-        width=width,
-        height=height,
-        generator=generator,
-    ).images[0]
-
-    return image, seed
-
+    # ৪টি ইমেজ জেনারেট করার জন্য
+    images = []
+    seeds_used = []
+    
+    for i in range(num_images):
+        if randomize_seed:
+            current_seed = random.randint(0, MAX_SEED)
+        else:
+            current_seed = seed + i  # প্রতিটি ইমেজের জন্য আলাদা সিড
+            
+        generator = torch.Generator().manual_seed(current_seed)
+
+        image = pipe(
+            prompt=prompt,
+            negative_prompt=negative_prompt,
+            guidance_scale=guidance_scale,
+            num_inference_steps=num_inference_steps,
+            width=width,
+            height=height,
+            generator=generator,
+        ).images[0]
+        
+        images.append(image)
+        seeds_used.append(current_seed)
+        
+    return images, seeds_used
 
 examples = [
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
@@ -62,11 +68,16 @@ css = """
     margin: 0 auto;
     max-width: 640px;
 }
+.gallery {
+    display: grid;
+    grid-template-columns: repeat(2, 1fr);
+    gap: 10px;
+}
 """
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown(" # Text-to-Image Gradio Template")
+        gr.Markdown(" # Text-to-Image Gradio Template (4 Images)")
 
         with gr.Row():
             prompt = gr.Text(
@@ -76,12 +87,24 @@ with gr.Blocks(css=css) as demo:
                 placeholder="Enter your prompt",
                 container=False,
             )
-
             run_button = gr.Button("Run", scale=0, variant="primary")
 
-        result = gr.Image(label="Result", show_label=False)
+        # ৪টি ইমেজ দেখানোর জন্য Gallery কম্পোনেন্ট
+        gallery = gr.Gallery(label="Generated Images", elem_classes="gallery")
+        
+        # ব্যবহৃত সিডগুলো দেখানোর জন্য
+        seed_info = gr.Textbox(label="Seeds Used")
 
         with gr.Accordion("Advanced Settings", open=False):
+            # নতুন অপশন: কতগুলো ইমেজ জেনারেট করতে চান
+            num_images = gr.Slider(
+                label="Number of Images",
+                minimum=1,
+                maximum=10,
+                step=1,
+                value=4,  # ডিফল্ট ৪টি ইমেজ
+            )
+            
             negative_prompt = gr.Text(
                 label="Negative prompt",
                 max_lines=1,
@@ -105,7 +128,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=1024,
                 )
 
                 height = gr.Slider(
@@ -113,7 +136,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,  # Replace with defaults that work for your model
+                    value=1024,
                 )
 
             with gr.Row():
@@ -122,7 +145,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=0.0,  # Replace with defaults that work for your model
+                    value=0.0,
                 )
 
                 num_inference_steps = gr.Slider(
@@ -130,10 +153,11 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=2,  # Replace with defaults that work for your model
+                    value=2,
                 )
 
         gr.Examples(examples=examples, inputs=[prompt])
+        
     gr.on(
         triggers=[run_button.click, prompt.submit],
         fn=infer,
@@ -146,9 +170,10 @@ with gr.Blocks(css=css) as demo:
             height,
             guidance_scale,
             num_inference_steps,
+            num_images,  # নতুন ইনপুট যোগ করা হয়েছে
         ],
-        outputs=[result, seed],
+        outputs=[gallery, seed_info],  # আউটপুট হিসেবে Gallery এবং seed_info
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()