AvatarFX is a cutting-edge AI platform focused on interactive storytelling. Users can quickly generate vivid, realistic character videos by uploading images and selecting sounds. Its core technology is based on a DiT diffusion video generation model, enabling efficient generation of high-fidelity, temporally consistent videos, especially suitable for creations requiring multiple characters and dialogue scenes. The product is positioned to provide creators with tools to help them realize the limitless possibilities of their imagination.

OmniTalker is a unified framework proposed by Alibaba's Tongyi Lab with the aim of generating audio and video in real time to enhance human-computer interaction experiences. Its innovation lies in solving common issues in traditional text-to-speech and speech-driven video generation methods, such as out-of-sync audio-video, inconsistent styles, and system complexity. OmniTalker adopts a dual-branch diffusion transformer architecture, achieving high-fidelity audio-video outputs while maintaining efficiency. Its real-time inference speed reaches 25 frames per second, making it suitable for various interactive video chat applications and enhancing user experiences.

Orpheus TTS is an open-source text-to-speech system based on the Llama-3b model, aiming to provide more natural human speech synthesis. It boasts strong voice cloning and emotional expression capabilities, suitable for various real-time applications. This product is free and aims to provide developers and researchers with a convenient speech synthesis tool.

Spark-TTS is a highly efficient text-to-speech synthesis model based on large language models, featuring single-stream decoupled speech tokens. Leveraging the power of large language models, it directly reconstructs audio predicted from code, omitting the additional acoustic feature generation model, thus improving efficiency and reducing complexity. This model supports zero-shot text-to-speech synthesis, enabling cross-lingual and code-switching scenarios, making it ideal for speech synthesis applications requiring high naturalness and accuracy. It also supports virtual voice creation; users can generate different voices by adjusting parameters such as gender, pitch, and speaking rate. The model aims to address the inefficiencies and complexities of traditional speech synthesis systems, providing a highly efficient, flexible, and powerful solution for research and production. Currently, the model is primarily intended for academic research and legitimate applications such as personalized speech synthesis, assistive technologies, and language research.

Llasa is a text-to-speech (TTS) base model based on the Llama framework, designed for large-scale speech synthesis tasks. The model is trained using 160,000 hours of tokenized speech data and has efficient language generation capabilities and multilingual support. Its main advantages include powerful speech synthesis capabilities, low inference costs, and flexible framework compatibility. This model is suitable for education, entertainment, and commercial scenarios, providing users with high-quality speech synthesis solutions. This model is currently freely available on Hugging Face, aiming to promote the development and application of speech synthesis technology.

IndexTTS is a GPT-style text-to-speech (TTS) model primarily developed based on XTTS and Tortoise. It can correct Chinese pronunciation using pinyin and control pauses using punctuation marks. This system introduces a character-pinyin mixed modeling method in Chinese scenarios, significantly improving training stability, timbre similarity, and audio quality. Furthermore, it integrates BigVGAN2 to optimize audio quality. The model is trained on tens of thousands of hours of data and outperforms current popular TTS systems such as XTTS, CosyVoice2, and F5-TTS. IndexTTS is suitable for scenarios requiring high-quality speech synthesis, such as voice assistants and audiobooks, and its open-source nature makes it suitable for academic research and commercial applications.

Zonos is an advanced text-to-speech model that supports multiple languages and can generate natural speech based on text prompts along with speaker embeddings or audio prefixes. It also features voice cloning, allowing for accurate replication of a speaker's voice with just a few seconds of reference audio. The model delivers high-quality speech output (44kHz) and allows fine control over speech rate, pitch variation, audio quality, and emotional tone (such as happiness, fear, sadness, and anger). Zonos offers Python and Gradio interfaces for easy user onboarding and supports deployment through Docker. The model achieves a real-time factor of approximately 2 times on an RTX 4090, making it suitable for applications that require high-quality speech synthesis.

Developed by Zyphra, Zonos-v0.1-hybrid is an open-source text-to-speech model capable of generating highly natural speech based on text prompts. The model is trained on extensive English voice data, employing eSpeak for text normalization and phoneme processing, and predicting DAC tokens via a transformer or hybrid backbone network. It supports multiple languages, including English, Japanese, Chinese, French, and German, and allows for fine control over speech speed, pitch, audio quality, and emotion. Additionally, it features zero-shot voice cloning, requiring only 5 to 30 seconds of speech samples to achieve high-fidelity voice replication. The model operates with a real-time factor of about 2x on an RTX 4090, offering fast performance. It is equipped with an easy-to-use gradio interface and can be easily installed and deployed using Docker. Currently, the model is available on Hugging Face for free, but users need to deploy it themselves.

Llasa-1B is a text-to-speech model developed by the Audio Lab at the Hong Kong University of Science and Technology. Based on the LLaMA architecture and integrated with speech tokens from the XCodec2 codec, it converts text into natural and fluent speech. The model has been trained on 250,000 hours of Chinese and English speech data and supports generating speech from plain text, as well as utilizing given voice prompts for synthesis. Its main advantage is the ability to produce high-quality multilingual speech, making it suitable for various applications such as audiobooks and voice assistants. The model is licensed under CC BY-NC-ND 4.0, prohibiting commercial use.

ASMR AI is the first AI ASMR video generator with realistic binaural audio. It provides text-to-ASMR and image-to-ASMR content generation through Google Veo 3. It has functions for relaxation, sleep assistance, and stress relief.

LIP Sync AI is a revolutionary AI technology that uses the global audio perception engine to convert static photos into vivid conversational videos. Its main advantages lie in efficient and realistic generation effects, making photos have perfect lip synchronization. This product is positioned to provide users with high-quality lip-sync video generation services.

Seedance Pro is a professional AI video generation platform that creates high-quality video content using advanced AI technology. Its main advantages include smooth and stable motion generation, multi-shot story narration, diverse style expression, accurate prompt tracking, etc. It targets the creative video production field.

Veo3API.ai offers the most cost-effective Veo 3 API that supports generating 4K videos with synchronized audio from text and images. It has high scalability and stability, is affordable, and suits various video generation requirements.

Avido is an AI platform that can automatically generate videos, images, and titles, helping users create shareable content in minutes. Its main advantages include quick generation of high-quality videos, automatic generation of images and titles, applicability to content creation across different fields, and more.

Reel Rabbit is an AI video production platform that uses AI technology to quickly generate viral videos and help users increase traffic and brand exposure. It is positioned to save video production costs for brands and founders, offering affordable membership plans.

SpicyGen is an AI video generation tool that allows users to upload AI-generated images, describe actions, and let the AI generate unique and eye-catching video content. The main advantage of this tool is its ability to quickly transform static images into vivid animated videos, helping users easily create personalized video content. SpicyGen is positioned as a creative video production tool for creative designers, social media influencers, and content creators.

AI Stock Video is an inventory video platform based on artificial intelligence technology. It uses advanced deep learning models to quickly create unique videos that match descriptions, providing high-quality color grading, realistic lighting, and natural motion, without worrying about license issues.

AvatarFX is a cutting-edge AI platform focused on interactive storytelling. Users can quickly generate vivid, realistic character videos by uploading images and selecting sounds. Its core technology is based on a DiT diffusion video generation model, enabling efficient generation of high-fidelity, temporally consistent videos, especially suitable for creations requiring multiple characters and dialogue scenes. The product is positioned to provide creators with tools to help them realize the limitless possibilities of their imagination.