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+from diffusers import StableDiffusionImg2ImgPipeline
+from PIL import Image
+import torch
+import face_recognition
+import numpy as np
+
+# Load the face image you want to "generate look-alikes" for
+target_image = Image.open("target_face.jpg").convert("RGB")
+
+# Load Stable Diffusion (use a model fine-tuned for faces!)
+pipe = StableDiffusionImg2ImgPipeline.from_pretrained(
+    "SG161222/Realistic_Vision_V5.1_noVAE", 
+    torch_dtype=torch.float16
+).to("cuda")
+
+# Generate a look-alike image
+prompt = "portrait photo of a person with similar facial features"
+generator = torch.manual_seed(42)
+
+output = pipe(
+    prompt=prompt,
+    image=target_image,
+    strength=0.7,
+    guidance_scale=7.5,
+    num_inference_steps=30,
+    generator