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Omnihuman 1.5

avatar-ugc
replicate
video

Bytedance family

Ready
Run the model to preview output.

README

# Omnihuman 1.5 High-fidelity AI avatar generation for professional video. ## Overview Omnihuman 1.5 represents a significant leap forward in the domain of AI-driven avatar synthesis, specifically engineered for marketing professionals and creative agencies who require hyper-realistic human representations. Unlike generic video generation models, Omnihuman 1.5 is optimized for precise facial expressions, natural lip-syncing, and fluid body movement, making it an ideal solution for digital human integration in advertising campaigns. By leveraging advanced neural rendering techniques, this model allows users to transform simple text prompts into high-quality video content featuring lifelike avatars. Whether you are creating personalized customer outreach videos, training modules, or social media content, Omnihuman 1.5 ensures that the output maintains a consistent, professional aesthetic that bridges the gap between synthetic media and live-action production. ## Use Cases * Personalized Video Marketing: Generate thousands of unique, personalized video messages for email marketing campaigns at scale. * Corporate Training & Onboarding: Create engaging, consistent instructors for internal training programs without the need for recurring studio time. * Social Media Content Creation: Rapidly produce short-form video content featuring consistent brand ambassadors for TikTok, Instagram Reels, and YouTube Shorts. * Multilingual Localization: Adapt marketing videos for global markets by generating avatar speech in multiple languages with perfect lip-syncing. * Virtual Influencer Campaigns: Launch and maintain virtual brand representatives that can interact with audiences across digital platforms. * Interactive Customer Support: Develop dynamic video responses for automated customer service interfaces to improve user engagement. ## Parameters To generate content with Omnihuman 1.5, you must provide a text-based prompt that defines the avatar's appearance, action, and speech content. Please refer to the API schema provided in the integration dashboard for specific constraints regarding input length, resolution settings, and character limits. ## Tips for Best Results * Be Descriptive: When writing your prompt, include specific details about the avatar's attire, background environment, and emotional tone to ensure the model captures your brand identity. * Focus on Clarity: For the best lip-sync results, ensure your script is clearly articulated and free of complex jargon or ambiguous acronyms. * Maintain Consistency: Use the same base prompt structure across multiple generations to maintain visual consistency for a series of videos. * Optimize for Length: Keep your input scripts concise; shorter, punchy segments often yield higher-quality motion and expression stability than long-form monologues. * Test Lighting Cues: If the model supports environment descriptors, experiment with lighting keywords like "soft studio lighting" or "cinematic daylight" to match your existing brand assets. ## About Omnihuman 1.5 is powered by the fal-ai infrastructure, utilizing the cutting-edge Bytedance Omnihuman architecture. This model lineage is built upon state-of-the-art research in generative adversarial networks and diffusion-based video synthesis, designed specifically to address the high-fidelity requirements of the modern creative industry. By integrating this model through Pixloop, users gain access to enterprise-grade performance and scalability for all their synthetic media production needs.

Parameters

Model input reference derived from preset schema.

NameTypeRequiredDefaultDescription
seedintegerNonullRandom seed for reproducible generation.
audioaudioYesnullInput audio file (MP3, WAV, etc.). Duration must be less than 35 seconds. If the audio exceeds 35 seconds, an error will be generated and the generation will fail.
imageimageYesnullInput image containing a human subject, face or character.
promptstringNonullOptional prompt for precise control of the scene, movements, camera movements, etc. Supports Chinese, English, Japanese, Korean, Spanish, and Indonesian.
fast_modebooleanNofalseEnable fast mode to speed up generation by sacrificing some effects.