Create model.safetensors

model.safetensors

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+import torch
+from diffusers import StableDiffusionPipeline
+import gradio as gr
+
+# --------------------------
+#  MODEL YÜKLEME
+# --------------------------
+# Module *hiçbir yere bağlı değildir*
+# Kendi Space dosyan: /model.safetensors
+
+pipe = StableDiffusionPipeline.from_single_file(
+    "model.safetensors",
+    torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
+    safety_checker=None
+)
+
+if torch.cuda.is_available():
+    pipe = pipe.to("cuda")
+
+# --------------------------
+#  GÖRSEL ÜRETİM FONKSİYONU
+# --------------------------
+def generate(prompt, width, height, steps):
+    image = pipe(
+        prompt,
+        num_inference_steps=steps,
+        width=width,
+        height=height
+    ).images[0]
+    return image
+
+# --------------------------
+#  GRADIO ARAYÜZÜ
+# --------------------------
+with gr.Blocks(theme="soft") as demo:
+    gr.Markdown("# 🎨 Kendi Modelinden Görsel Üreten Bot\nTamamen Bağımsız • Bağlantısız")
+
+    prompt = gr.Textbox(label="Prompt", placeholder="ör: futuristic city, ultra detailed")
+    width  = gr.Slider(256, 2048, value=512, step=8, label="Genişlik")
+    height = gr.Slider(256, 2048, value=512, step=8, label="Yükseklik")
+    steps  = gr.Slider(10, 80, value=30, step=1, label="Steps")
+
+    btn = gr.Button("Görsel Üret")
+    output = gr.Image(label="Üretilen Görsel")
+
+    btn.click(generate, inputs=[prompt, width, height, steps], outputs=output)
+
+demo.launch()