Digital Humans 4

Next-generation AI platform generating cinematic 1080P videos from text or images. Wan 2.7 AI Video Generator is a next-generation AI video creation platform that converts text prompts and images into cinematic 1080P videos. It specializes in photo-to-real-human-video generation, allowing users to animate portraits with natural facial expressions, synchronized speech, and organic body movements. The platform utilizes advanced temporal diffusion models and features breakthroughs in motion dynamics, audio synthesis, and frame-level creative controls, making it a comprehensive tool for high-quality video production without the need for filming or actors.

Cinematic AI video generator for high-fidelity text-to-video and image-to-video creation. HappyHorse is an advanced AI video generation platform designed for cinematic text-to-video and image-to-video creation. Built on the HappyHorse 1.0 model, it features a unified multimodal architecture that processes text, video, and audio tokens together. The platform is recognized for its high prompt fidelity, smooth human-centric motion, and consistency in character and scene generation. It utilizes a 40-layer single-stream self-attention Transformer and an efficient 8-step inference process to deliver high-quality, production-ready clips, making it a powerful tool for creators, marketers, and production teams looking for professional AI-driven storytelling.

Create Highly Realistic AI Virtual Characters AI Character Generator is a tool built to solve one very specific problem in AI image and video generation: character consistency. Most generative tools today can create impressive individual images, but as soon as you try to generate the same character again — in a different scene, outfit, or medium — the identity quickly drifts. Facial structure changes, proportions shift, and the result no longer feels like the same person. We built AI Character Generator to focus on that missing piece. With AI Character Generator, users can create fictional virtual characters and generate consistent photos and videos of the same character across different contexts. The system uses reference images as identity anchors, preserving core visual traits such as facial structure, proportions, and overall appearance, while allowing controlled variation in pose, environment, clothing, and lighting. The goal is not to create perfect or overly stylized faces. Instead, we aim for characters that feel natural, believable, and visually coherent, whether the reference style is photorealistic, illustrated, or stylized. If the reference image is realistic, the output stays realistic. If the reference is stylized, the style is preserved. The character remains the same. AI Character Generator is designed for creators, designers, brands, and storytellers who need repeatable characters for content, visual narratives, and creative experimentation — without constantly fighting identity drift or rebuilding characters from scratch. We also place clear boundaries on how this technology is used. All characters generated on the platform are fictional virtual personas and are not intended to represent real individuals. The system is designed to discourage impersonation, unauthorized likeness generation, and deceptive use. High visual quality should not come at the cost of trust or responsibility. It’s about giving creators a reliable way to work with **fictional characters that stay consistent, expressive, and under control.

The real-time face layer for AI products. Anam is the real-time face layer for AI products. Anam provides real-time AI avatar models, streaming infrastructure and APIs that enable developers to add expressive, photorealistic faces to conversational AI products. Build customer-facing AI agents, coaches, trainers, interviewers and guides that can listen, respond and react in real time, with low-latency streaming and flexible APIs and SDKs designed for production.