EACHLABS
Generates realistic talking videos by combining an input image and an audio file. Lip-syncs the character naturally to match the voice, producing smooth and lifelike results.
Avg Run Time: 160.000s
Model Slug: character-3
Playground
Input
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Output
Example Result
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API & SDK
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Readme
Overview
character-3 — Image-to-Video AI Model
character-3 from Eachlabs generates realistic talking videos by lip-syncing characters in input images to provided audio files, delivering smooth, lifelike results ideal for content creators needing natural voice-matched animations. Developed by Eachlabs as part of the eachlabs family, this image-to-video AI model excels in precise audio-visual synchronization, transforming static portraits into dynamic talking heads without chaotic motion or identity drift. Perfect for developers seeking a character-3 API to integrate high-fidelity lip-sync into apps, it supports short-form videos that maintain subject fidelity across styles from photorealistic to cinematic.
Technical Specifications
What Sets character-3 Apart
character-3 stands out in the eachlabs image-to-video lineup with native lip-sync that matches lip movements to audio inputs like dialogue or ambient sounds, enabling hyper-realistic talking character videos from a single image—unlike generic image-to-video models that struggle with audio coherence. This capability allows users to produce professional-grade clips for social media or demos in seconds, preserving facial details and expressions accurately.
Another key differentiator is its restrained motion control, generating stable animations up to 15 seconds at 720p or 1080p resolutions without the flickering or over-exaggerated movements common in competitors, supporting input formats like JPG, PNG, and audio files in MP3 or WAV. Users benefit from consistent, high-frame-rate outputs ideal for iterative workflows in AI talking head generator applications.
- Technical specs: Outputs video clips with synchronized audio; max 15s duration; 720p/1080p resolution; average processing under 150s for fast turnaround.
- Multi-shot support for coherent sequences, adapting to photorealistic or stylized inputs while anchoring to the original image's identity.
Key Considerations
- High-quality input images and clear audio files significantly improve output realism and lip-sync accuracy
- The model performs best with front-facing, well-lit portraits; side profiles or low-resolution images may reduce quality
- Audio should be free from background noise and distortion for optimal synchronization
- There is a trade-off between output resolution and generation speed; higher resolutions require more processing time and resources
- Overly long audio files may result in memory issues or degraded animation consistency
- Prompt engineering: Descriptive prompts or metadata (where supported) can help guide expression and emotion in the output
- Iterative refinement (re-running with adjusted inputs) is often necessary for professional-quality results
Tips & Tricks
How to Use character-3 on Eachlabs
Access character-3 through Eachlabs Playground by uploading an image (JPG/PNG up to 50MB) and audio file (MP3/WAV), adding optional motion prompts for refinements like head tilts. Via API or SDK, specify image URL, audio, duration (up to 15s), and resolution (720p/1080p) for high-quality MP4 outputs with perfect lip-sync—ideal for production workflows with fast inference times.
---Capabilities
- Generates realistic talking-head videos from a single image and audio file
- Delivers highly accurate lip-sync and expressive facial animation
- Maintains character identity and style across frames, even with challenging audio
- Supports a range of image styles, including photos, digital art, and stylized portraits
- Handles various languages and accents in audio input, with robust phoneme mapping
- Outputs are suitable for direct use in creative, educational, and professional video projects
What Can I Use It For?
Use Cases for character-3
For content creators producing YouTube explainers or TikTok skits, upload a portrait photo and a voiceover audio file—character-3 lip-syncs the mouth naturally to the speech, creating a seamless talking head video in 1080p that feels studio-recorded, saving hours on manual editing.
Marketers building personalized video ads can input product spokesperson images paired with custom scripts in WAV format; the model's precise audio sync and stable motion generate engaging promo clips up to 15 seconds, perfect for e-commerce campaigns targeting "lip sync AI video" searches.
Developers integrating a character-3 API for virtual avatars in apps provide user selfies and TTS audio—the result is lifelike animations with matched expressions, enabling scalable solutions for customer service bots or interactive storytelling without needing video teams.
Designers crafting mood boards or concept pitches use example prompts like "lip-sync this executive portrait to 'Welcome to our innovative solution, featuring cutting-edge tech' with subtle head nods and confident smile," yielding cinematic shorts that maintain lighting and framing fidelity for client presentations.
Things to Be Aware Of
- Some users report occasional artifacts around the mouth or jaw, especially with low-quality input images
- The model may struggle with extreme head poses, occlusions (e.g., hands near the mouth), or non-human faces
- Generation speed is highly dependent on hardware; consumer GPUs may experience longer processing times for high-res videos
- Consistency across long audio tracks can vary; shorter segments tend to yield more stable results
- Positive feedback highlights the model’s natural lip-sync and emotional expressiveness, especially for English and widely spoken languages
- Negative feedback includes occasional mismatches between audio emotion and facial expression, particularly for monotone or robotic voices
- Resource requirements are significant; users recommend at least 8–16GB GPU memory for smooth operation
- Some experimental features, such as multi-character scenes or background animation, are under active development and may be unstable
Limitations
- The model is primarily optimized for single, front-facing human portraits; performance drops with side profiles, group images, or non-human subjects
- Not suitable for real-time applications or live video due to processing latency and hardware demands
- May not accurately capture subtle emotional nuances in audio with heavy accents, background noise, or synthetic voices
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