Arc2Face

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Arc2Face is an Open Source image generation tool that creates ID-consistent human faces. It offers precise expression generation, even for rare or asymmetric facial expressions, built on Stable Diffusion.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Arc2Face?

Arc2Face is an open-source foundation model designed for generating high-quality, ID-consistent human faces. Built on top of Stable Diffusion, it can create images of any subject given only its ArcFace embedding within seconds. The model is trained on the large-scale WebFace42M dataset, offering superior ID similarity compared to existing models. Arc2Face also features an Expression Adapter for precise expression control, allowing users to generate faces with rare, asymmetric, subtle, or extreme expressions using FLAME blendshape parameters. Additionally, it supports ControlNet for pose control and LCM-LoRA for faster inference, making it a versatile tool for researchers and developers in facial synthesis.

Best used for

Ideal for researchers and developers who need to generate highly realistic and ID-consistent human faces, control facial expressions with precision, and manipulate facial poses. Especially valuable for projects requiring detailed facial synthesis and deepfake research.

Common actions

generate human faces

control facial expressions

control facial pose

accelerate image generation

face swappinggithub copilot"AI Agents"open-sourcelow-code/no-codeworkflowsdeepfakeautomated workflowcollaboration

Capabilities

Key features

ID-consistent face generation
Precise expression control
Pose control with ControlNet
LCM-LoRA acceleration
Built on Stable Diffusion
Trained on WebFace42M

Target Audience

ai/ml researchersdevelopersgame developersvfx artists

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the primary advantage of Arc2Face for face generation?

Arc2Face's primary advantage is its ability to generate ID-consistent human faces, ensuring that the generated images maintain the identity of the subject while allowing for precise control over facial expressions and poses. This is crucial for applications requiring high fidelity to a specific individual.

Can Arc2Face generate rare or asymmetric facial expressions?

Yes, Arc2Face, especially with its Expression Adapter extension, is designed to generate any subject under any facial expression, including rare, asymmetric, subtle, or extreme ones. It achieves this through blendshape-guided diffusion.

How does Arc2Face achieve faster inference?

Arc2Face supports LCM-LoRA acceleration, which allows users to reduce the sampling steps to as few as 2-4. This significantly speeds up the inference process, making it possible to generate images much faster, albeit with a slight potential drop in quality.

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