Update app.py

app.py

@@ -1,3 +1,51 @@
+import gradio as gr
+import numpy as np
+import random
+from diffusers import DiffusionPipeline
+import torch
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+MAX_SEED = np.iinfo(np.int32).max
+MAX_IMAGE_SIZE = 1024
+
+pipe = DiffusionPipeline.from_pretrained(
+    "stabilityai/sdxl-turbo", 
+    torch_dtype=torch.float16, 
+    variant="fp16", 
+    use_safetensors=True
+)
+pipe.enable_xformers_memory_efficient_attention()
+pipe = pipe.to(device)
+
+def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
+    try:
+        if randomize_seed:
+            seed = random.randint(0, MAX_SEED)
+        
+        generator = torch.Generator(device=device).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
+    except Exception as e:
+        return f"An error occurred: {e}"
+
+examples = [
+    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
+    "An astronaut riding a green horse",
+    "A delicious ceviche cheesecake slice",
+]
+
+css = """
 #col-container {
     margin: 0 auto;
     max-width: 520px;
@@ -5,44 +53,127 @@
 
 /* Кнопки */
 .gr-button {
-    background-color: #5271FF !important; /* Основной цвет кнопки */
-    border-color: #5271FF !important; /* Граница кнопки */
-    color: white !important; /* Цвет текста кнопки */
+    background-color: #5271FF !important;
+    border-color: #5271FF !important;
+    color: white !important;
 }
 
 .gr-button:hover,
 .gr-button:focus,
 .gr-button:active {
-    background-color: #3e5ac0 !important; /* Цвет кнопки при наведении или нажатии */
+    background-color: #3e5ac0 !important;
     border-color: #3e5ac0 !important;
 }
 
 /* Ползунки */
 .gr-slider .noUi-connect {
-    background: #5271FF !important; /* Цвет заполненной части ползунка */
+    background: #5271FF !important;
 }
 
 .gr-slider .noUi-handle {
-    border-color: #5271FF !important; /* Цвет рукоятки ползунка */
+    border-color: #5271FF !important;
 }
 
 .gr-slider .noUi-handle:focus,
 .gr-slider .noUi-handle:active {
-    border-color: #3e5ac0 !important; /* Цвет рукоятки при фокусе или нажатии */
+    border-color: #3e5ac0 !important;
 }
 
 /* Чекбоксы */
 .gr-checkbox label::before {
-    border-color: #5271FF !important; /* Цвет границы чекбокса */
+    border-color: #5271FF !important;
 }
 
 .gr-checkbox input[type=checkbox]:checked + label::before {
-    background-color: #5271FF !important; /* Цвет фона чекбокса при выборе */
+    background-color: #5271FF !important;
 }
 
 /* Текстовые поля и другие элементы */
 input[type="text"]:focus,
 textarea:focus {
-    border-color: #5271FF !important; /* Цвет границы текстовых полей при фокусе */
-    outline: none !important; /* Убирает стандартный outline */
+    border-color: #5271FF !important;
+    outline: none !important;
 }
+"""
+
+power_device = "GPU" if torch.cuda.is_available() else "CPU"
+
+with gr.Blocks(css=css) as demo:
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown(f"""
+        # ZeroGPU Text-to-Image Gradio Template
+        Currently running on {power_device}.
+        """)
+        
+        with gr.Row():
+            prompt = gr.Text(
+                label="Prompt",
+                show_label=False,
+                max_lines=1,
+                placeholder="Enter your prompt",
+                container=False,
+            )
+            run_button = gr.Button("Run", scale=0)
+        
+        result = gr.Image(label="Result", show_label=False)
+
+        with gr.Accordion("Advanced Settings", open=False):
+            negative_prompt = gr.Text(
+                label="Negative prompt",
+                max_lines=1,
+                placeholder="Enter a negative prompt",
+                visible=True,
+            )
+            seed = gr.Slider(
+                label="Seed",
+                minimum=0,
+                maximum=MAX_SEED,
+                step=1,
+                value=0,
+            )
+            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+            
+            with gr.Row():
+                width = gr.Slider(
+                    label="Width",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=512,
+                )
+                height = gr.Slider(
+                    label="Height",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=512,
+                )
+            
+            with gr.Row():
+                guidance_scale = gr.Slider(
+                    label="Guidance scale",
+                    minimum=0.0,
+                    maximum=10.0,
+                    step=0.1,
+                    value=7.5,
+                )
+                num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=50,
+                    step=1,
+                    value=25,
+                )
+        
+        gr.Examples(
+            examples=examples,
+            inputs=[prompt]
+        )
+
+    run_button.click(
+        fn=infer,
+        inputs=[prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+        outputs=[result]
+    )
+
+demo.queue().launch()