Create python.py

python.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+import time
+
+# MODELLER
+MODELS = {
+    "Realistic": "visionpy_realistic",
+    "Anime": "visionpy_anime"
+}
+
+# MODEL YÜKLEME
+def load_model(mode):
+    pipe = StableDiffusionPipeline.from_pretrained(
+        MODELS[mode],
+        torch_dtype=torch.float16
+    ).to("cuda")
+    # Hız optimizasyonu
+    # xFormers destekleniyorsa uncomment:
+    # pipe.enable_xformers_memory_efficient_attention()
+    return pipe
+
+# ANA ÜRETİM FONKSİYONU
+def generate(prompt, mode, res):
+    pipe = load_model(mode)
+    start_time = time.time()
+
+    # Çözünürlük
+    if res == "512p":
+        w, h = 512, 512
+        steps = 20
+    elif res == "1024p":
+        w, h = 1024, 1024
+        steps = 25
+    else:
+        w, h = 512, 512
+        steps = 20
+
+    image = pipe(prompt, height=h, width=w, num_inference_steps=steps, guidance_scale=7.5).images[0]
+
+    elapsed = time.time() - start_time
+    return image, f"{elapsed:.2f} saniyede üretildi!"
+
+# GRADIO ARAYÜZÜ
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown(
+        "<h1 style='text-align:center'>🌟 Hh — VisionPy Ultra HD (11s Mode)</h1>"
+        "<p style='text-align:center'>Anime / Realistic Modları, 512-1024p hızlı üretim, Light Theme</p>"
+    )
+
+    with gr.Row():
+        prompt = gr.Textbox(label="Prompt", placeholder="ör: fantastik şehir ultra yüksek çözünürlük")
+        mode = gr.Dropdown(["Realistic", "Anime"], label="Mod")
+        res = gr.Dropdown(["512p", "1024p"], label="Çözünürlük (Hızlı Mod)")
+
+    out = gr.Image(label="Sonuç")
+    time_label = gr.Label(label="Üretim Süresi")
+
+    btn = gr.Button("ÜRET")
+    btn.click(generate, inputs=[prompt, mode, res], outputs=[out, time_label])
+
+demo.launch()