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Description
Character.AI has introduced AvatarFX, an innovative AI-driven tool for video generation that is currently in a closed beta phase. This groundbreaking technology transforms static images into engaging, long-form videos, complete with synchronized lip movements, gestures, and facial expressions. AvatarFX accommodates a wide range of visual styles, from 2D animated characters to 3D cartoon figures and even non-human faces such as those of pets. It ensures high temporal consistency in movements of the face, hands, and body, even over longer video durations, resulting in smooth and natural animations. In contrast to conventional text-to-image generation techniques, AvatarFX empowers users to produce videos directly from pre-existing images, providing enhanced control over the final product. This tool is particularly advantageous for augmenting interactions with AI chatbots, allowing for the creation of realistic avatars capable of speaking, expressing emotions, and participating in lively conversations. Interested users can apply for early access via Character.AI's official platform, paving the way for a new era in digital avatar creation and interaction. As users experiment with AvatarFX, the potential applications in storytelling, entertainment, and education could revolutionize how we perceive and interact with digital content.
Description
HunyuanVideo-Avatar allows for the transformation of any avatar images into high-dynamic, emotion-responsive videos by utilizing straightforward audio inputs. This innovative model is based on a multimodal diffusion transformer (MM-DiT) architecture, enabling the creation of lively, emotion-controllable dialogue videos featuring multiple characters. It can process various styles of avatars, including photorealistic, cartoonish, 3D-rendered, and anthropomorphic designs, accommodating different sizes from close-up portraits to full-body representations. Additionally, it includes a character image injection module that maintains character consistency while facilitating dynamic movements. An Audio Emotion Module (AEM) extracts emotional nuances from a source image, allowing for precise emotional control within the produced video content. Moreover, the Face-Aware Audio Adapter (FAA) isolates audio effects to distinct facial regions through latent-level masking, which supports independent audio-driven animations in scenarios involving multiple characters, enhancing the overall experience of storytelling through animated avatars. This comprehensive approach ensures that creators can craft richly animated narratives that resonate emotionally with audiences.
API Access
Has API
API Access
Has API
Integrations
Gradio
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Character.AI
Founded
2021
Country
United States
Website
character.ai/video
Vendor Details
Company Name
Tencent-Hunyuan
Country
United States
Website
github.com/Tencent-Hunyuan/HunyuanVideo-Avatar