What is Face-generator?

Face Generator allows users to create photo‑realistic faces in real time by adjusting parameters such as gender, age, emotion, skin tone, hair style, and accessories. The engine is trained on a studio‑captured dataset that eliminates concerns about copyrighted likenesses and complies with privacy regulations.

Users can produce thousands of unique variants from a single template, making the tool suitable for creative design, e‑commerce personalization, academic research, and lineup simulation. Generated images are high resolution and can be used for commercial projects once licensed.

Face-generator pricing Paid

$1/photo $1

$5/photo $5

$7/photo $7

$9/photo $9

$2.5/photo $2.5

Yearly $199

Humans + human generator $199

Verify on the official pricing page.

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Face-generator user reviews

Based on 11 reviews, 90.9% of users recommend Face-generator, rated highly for value for money.

recommend

don't

11 reviews

Liked for

Worth the price 10 of 10

Quality results 7 of 10

Easy to use 5 of 10

All key features 4 of 10

Good integrations 2 of 10

Disliked for

Hard to use 1 of 1

Missing features 1 of 1

Lacks integrations 1 of 1

Would you recommend Face-generator?

Recommend this tool?

Face-generator's key features

Synthetic dataset generation for ML
Labeled ethically sourced photos
Consistent image sizes and formats
Bias-free dataset content
Rapid model development support
Easy data augmentation integration
Curated high-quality images

Face-generator use cases

Generate realistic customer avatars for e‑commerce product listings, using the tool’s full‑body, high‑resolution rendering to showcase outfits across varied gender, age, and skin tone options without needing custom photography
Create dynamic, photo‑realistic lineup simulations for sports or security training, leveraging the API’s adjustable gender, age, emotion, and accessories to model diverse crowds
Build a comprehensive, customizable facial dataset for machine learning research, accessing the licensed studio‑captured images with controlled variables such as emotion, hair, and skin tone for unbiased training