Speak v2: Speech-to-Video Generation Model

Edited by Segmind Team on September 21, 2025.

What is Speak v2?

Speak v2 is a premium speech-to-video generation AI model developed by Higgsfield. It works flawlessly to transform static visual and basic audio assets into dynamic storytelling via a realistic, synchronized talking avatar video. The output is a super-realistic audio-visual synced generative video that mirrors natural facial expressions and speech patterns. Speak v2 offers high flexibility over the creative process to maintain the video's style and quality through multiple layers of parameters that can be modified and adapted at any level of workflow. This next-gen AI model empowers users to craft video avatars for various creative fields and use cases.

Key Features Speak v2

• It produces videos with exceptional realism, accuracy in lip-sync, and natural facial expressions
• It supports custom image inputs and audio files (MP3 format)
• It provides adjustable video quality settings (high/mid) for different use cases
• It has customizable video duration options (5, 10, or 15 seconds)
• It comes with a prompt enhancement capability for optimized expressions
• It can render reproducible results through seed parameter control
• It includes seamless API integration with a structured response format

Best Use Cases

• Virtual Presenters: It is ideal to create professional videos with a spokesperson avatar for corporate communications
• Educational Content: It can be utilized to generate engaging teacher avatars for e-learning platforms
• Marketing Materials: It can produce customized video advertisements with consistent messaging
• Digital Avatars: It makes it convenient to build interactive character animations for gaming and entertainment
• Social Media Content: Creative teams can design dynamic talking-head videos for social platforms
• Multilingual Content: It makes it possible to generate videos with synchronized translations for mass reach

Prompt Tips and Output Quality

• Use clear, high-quality reference images for a realistic avatar animation
• Provide detailed prompts describing desired emotional expressions and speaking style for the avatar/ video
• Enable prompt enhancement for more balanced and natural expressions
• Consider using "high" quality setting for client-facing content
• Experiment with different seeds to find the most appealing animation style
• Keep audio inputs clean and well-articulated for better lip-sync results

FAQs

How do I achieve the best lip-sync quality? High-quality audio input with clear articulation will generate better results, and enabling the high-quality setting will further enhance the result. Your reference image should have a clear, front-facing shot of the face for better visual fidelity.

Can I control the speaking style and expressions? Yes, Speak v2 gives space to control the speaking style and expressions; you can use detailed prompts and the enhance_prompt parameter to adapt these aspects. Furthermore, clearly explain the desired emotional state and speaking style in your prompt for more precise control.

What image formats work best with Speak v2? The model accepts image URLs, but high-resolution, well-lit, front-facing photos can generate even better quality output. Always provide a reference image with a clearly visible face that is centered.

How can I ensure consistent results across multiple generations? If you use the seed parameter, it will maintain consistency throughout the workflow and multiple generations. The same seed value will produce similar animation patterns (when other inputs remain unchanged).

What's the maximum video duration possible? Speak v2 supports video durations of 5, 10, or 15 seconds; longer durations are available for more extensive content needs.