Update app.py

app.py

@@ -1,11 +1,13 @@
 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"
+model_repo_id = "stabilityai/sdxl-turbo"  # Replace to the model you would like to use
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -18,6 +20,8 @@ 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,
@@ -27,35 +31,25 @@ def infer(
     height,
     guidance_scale,
     num_inference_steps,
-    num_images,  # নতুন প্যারামিটার: কতগুলো ইমেজ জেনারেট করতে হবে
     progress=gr.Progress(track_tqdm=True),
 ):
-    # 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
+    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
+
 
 examples = [
     "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
@@ -68,16 +62,11 @@ 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 (4 Images)")
+        gr.Markdown(" # Text-to-Image Gradio Template")
 
         with gr.Row():
             prompt = gr.Text(
@@ -87,24 +76,12 @@ with gr.Blocks(css=css) as demo:
                 placeholder="Enter your prompt",
                 container=False,
             )
+
             run_button = gr.Button("Run", scale=0, variant="primary")
 
-        # 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")
+        result = gr.Image(label="Result", show_label=False)
 
         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,
@@ -128,7 +105,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,
+                    value=1024,  # Replace with defaults that work for your model
                 )
 
                 height = gr.Slider(
@@ -136,7 +113,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,
+                    value=1024,  # Replace with defaults that work for your model
                 )
 
             with gr.Row():
@@ -145,7 +122,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=0.0,
+                    value=0.0,  # Replace with defaults that work for your model
                 )
 
                 num_inference_steps = gr.Slider(
@@ -153,11 +130,10 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=2,
+                    value=2,  # Replace with defaults that work for your model
                 )
 
         gr.Examples(examples=examples, inputs=[prompt])
-        
     gr.on(
         triggers=[run_button.click, prompt.submit],
         fn=infer,
@@ -170,10 +146,10 @@ with gr.Blocks(css=css) as demo:
             height,
             guidance_scale,
             num_inference_steps,
-            num_images,  # নতুন ইনপুট যোগ করা হয়েছে
         ],
-        outputs=[gallery, seed_info],  # আউটপুট হিসেবে Gallery এবং seed_info
+        outputs=[result, seed],
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()
+ইসলাম ধর্ম গ্রহণ করেন