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import os | |
os.environ["INSIGHTFACE_HOME"] = "/data/.insightface" | |
os.makedirs("/data/.insightface", exist_ok=True) | |
os.environ["MPLCONFIGDIR"] = "/tmp/matplotlib" | |
os.makedirs("/tmp/matplotlib", exist_ok=True) | |
print("INSIGHTFACE_HOME set to:", os.environ.get("INSIGHTFACE_HOME")) | |
from deepface import DeepFace | |
from PIL import Image | |
import insightface | |
import numpy as np | |
def extract_face_prompt(img_path): | |
# Load image as numpy array | |
img = Image.open(img_path).convert("RGB") | |
img_np = np.array(img) | |
# DeepFace analysis | |
deepface_result = DeepFace.analyze( | |
img_path, actions=['age', 'gender', 'race', 'emotion'], enforce_detection=False | |
) | |
if isinstance(deepface_result, list): | |
result = deepface_result[0] | |
else: | |
result = deepface_result | |
age = result['age'] | |
gender = result['dominant_gender'] | |
race = result['dominant_race'] | |
emotion = result['dominant_emotion'] | |
# InsightFace analysis | |
# model = insightface.app.FaceAnalysis(name='buffalo_l', providers=['CPUExecutionProvider']) | |
model = insightface.app.FaceAnalysis( | |
name='buffalo_l', | |
providers=['CPUExecutionProvider'], | |
root=os.environ.get("INSIGHTFACE_HOME", "/data/.insightface") | |
) | |
model.prepare(ctx_id=0) | |
faces = model.get(img_np) | |
face_attrs = {} | |
if faces: | |
face = faces[0] | |
face_attrs['glasses'] = face.get('glass', 0) > 0 | |
face_attrs['beard'] = face.get('beard', 0) > 0 | |
face_attrs['mustache'] = face.get('mustache', 0) > 0 | |
attr_parts = [] | |
if face_attrs.get('glasses'): | |
attr_parts.append("wearing glasses") | |
if face_attrs.get('beard'): | |
attr_parts.append("has a beard") | |
if face_attrs.get('mustache'): | |
attr_parts.append("has a mustache") | |
attr_str = ", ".join(attr_parts) if attr_parts else "" | |
prompt = ( | |
f"A chibi-style digital sticker of a {gender.lower()} with {race} skin, " | |
f"{'smiling' if emotion=='happy' else emotion}, approximately {age} years old" | |
) | |
if attr_str: | |
prompt += f", {attr_str}" | |
prompt += ", closeup, cute, expressive face, white outline, transparent background" | |
return prompt | |