Dockerfile

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