Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+def generate_image(prompt, num_inference_steps=50):
+    # Kendi modelinizi yükleyin
+    base_model = StableDiffusionPipeline.from_pretrained("codermert/mert_flux", torch_dtype=torch.float16)
+    base_model.to("cuda")
+
+    # Flux LoRA modelini yükleyin
+    lora_model_id = "lucataco/flux-dev-lora"
+    base_model.load_lora_weights(lora_model_id)
+
+    # Resmi oluşturun
+    image = base_model(prompt, num_inference_steps=num_inference_steps).images[0]
+    
+    return image
+
+iface = gr.Interface(
+    fn=generate_image,
+    inputs=[
+        gr.Textbox(label="Prompt"),
+        gr.Slider(minimum=1, maximum=100, step=1, label="Number of Inference Steps", value=50)
+    ],
+    outputs=gr.Image(label="Generated Image"),
+    title="Mert Flux Image Generator",
+    description="Generate images using Mert Flux model and Flux LoRA"
+)
+
+iface.launch()