Upload 3 files

README.md

@@ -1,12 +1,10 @@
 ---
-title: Res
-emoji: 📉
-colorFrom: red
-colorTo: yellow
+title: Virtual Try-On
+emoji: "👕"
+colorFrom: pink
+colorTo: purple
 sdk: gradio
-sdk_version: 5.47.0
+sdk_version: "3.37"
 app_file: app.py
 pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---

app.py

@@ -0,0 +1,65 @@
+import gradio as gr
+from PIL import Image
+import torch
+from diffusers import StableDiffusionInpaintPipeline
+
+device = "cpu"
+
+MODEL_ID = "runwayml/stable-diffusion-inpainting"
+pipe = StableDiffusionInpaintPipeline.from_pretrained(
+    MODEL_ID,
+    torch_dtype=torch.float32
+)
+pipe = pipe.to(device)
+
+def tryon(person_img, cloth_img, prompt="A photo of the person wearing the selected clothing, realistic, photorealistic"):
+    if person_img is None or cloth_img is None:
+        return None
+
+    person = person_img.convert("RGB")
+    cloth = cloth_img.convert("RGBA")
+
+    pw, ph = person.size
+    cw, ch = cloth.size
+
+    scale = 0.6 * pw / cw
+    new_w = max(10, int(cw * scale))
+    new_h = max(10, int(ch * scale))
+    cloth_resized = cloth.resize((new_w, new_h), Image.LANCZOS)
+
+    alpha = cloth_resized.split()[-1]
+    mask = Image.new("L", (pw, ph), 0)
+
+    x = int((pw - new_w) / 2)
+    y = int(ph * 0.18)
+    mask.paste(alpha, (x, y))
+
+    composite = person.copy()
+    composite.paste(cloth_resized, (x, y), cloth_resized)
+
+    result = pipe(
+        prompt=prompt,
+        image=composite,
+        mask_image=mask,
+        guidance_scale=7.5,
+        num_inference_steps=30
+    ).images[0]
+
+    return result
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 👕 AI Kıyafet Giydirme\nFotoğrafını ve kıyafet resmini yükle, sonucu gör!")
+
+    with gr.Row():
+        with gr.Column():
+            person_in = gr.Image(type="pil", label="Kullanıcı Fotoğrafı")
+            cloth_in = gr.Image(type="pil", label="Kıyafet Fotoğrafı (PNG, şeffaf arka plan)")
+            prompt_in = gr.Textbox(label="Prompt (opsiyonel)", placeholder="Açıklama ekleyebilirsin...")
+            btn = gr.Button("Giydir")
+        with gr.Column():
+            out = gr.Image(type="pil", label="Sonuç")
+
+    btn.click(fn=tryon, inputs=[person_in, cloth_in, prompt_in], outputs=out)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

@@ -0,0 +1,7 @@
+gradio==3.37
+torch
+diffusers
+transformers
+accelerate
+safetensors
+pillow