Seaweed by ByteDance: TikTok-Native AI Video Generator for F

Generate Videos from Text Descriptions

Seaweed is a foundational video generation model that creates videos of various resolutions, aspect ratios, and durations from text descriptions. It learns world representation from massive amounts of multi-modal data including video, image, and text.

Create diverse video content directly from your written prompts.

First-Frame and Transition Control

Seaweed offers enhanced controls by allowing users to provide an image as the first frame, directing the model to generate the rest of the video with consistent motion and style. It can also condition on both the first and last frames to create interesting transition videos.

Achieve precise visual aesthetics and creative direction for your videos.

Generate Videos from Reference Images

The model can be finetuned to generate videos based on reference images, including human references, object references, or a combination of multiple reference images, synthesizing them into dynamic video sequences.

Flexible input options for creating videos from existing visual assets.

Human-Centric Video from Audio

Seaweed is adapted to generate content conditioned on audio inputs by Omnihuman, enabling realistic human characters that match the voice in the audio, with synchronized lip movements and body gestures.

Create lifelike talking characters with perfect audio-video sync.

Generate Audio and Video Together

Seaweed can generate both audio and video simultaneously, with the audio synced to reflect the action, scene, tone, rhythm, and style of the video, complementing the visual storytelling.

Produce a seamless multimedia experience with synchronized sound.

Long Shots, Stories, and High Resolution

Seaweed natively generates single shots lasting 20 seconds (extendable up to a minute), supports consistent multi-shot long-form stories with global and per-shot descriptions, and natively generates up to 1280x720 resolution, upsamplable to 2K QHD (2560x1440).

Create extended, high-resolution narratives with continuity across scenes.

• 7B Parameter Foundational ModelSeaweed is a video generation foundational model with approximately 7 billion parameters, trained using compute equivalent to 1,000 H100 GPUs. It learns world representations from massive multi-modal data including video, image, and text, enabling generation of videos at various resolutions, aspect ratios, and durations from text descriptions.
• Multi-Modal Generation CapabilitiesSeaweed supports generating videos from text, from a first frame image, from first and last frames for transitions, and from reference images (human, object, or multiple references). It can also be conditioned on audio inputs (via Omnihuman) for realistic human characters with synchronized lip movements and gestures, and can generate audio synced with video.
• Long and Consistent StorytellingSeaweed natively generates single shots up to 20 seconds and can extend to one minute. It supports consistent multi-shot long-form stories with global and per-shot text descriptions, as demonstrated by a 27-shot example. It also supports high-resolution generation up to 1280x720 natively, upsampling to 2K QHD (2560x1440), and real-time generation at 1280x720 and 24fps.
• Advanced Research and World SimulationSeaweed enables precise camera control via defined trajectories and serves as a foundation for world simulation research. It can be post-trained on synthetic CGI video to enhance physical consistency while preserving photorealism, and supports super-resolution upsampling and restoration via SeedVR.

• Research Effort, Not a Commercial ProductSeaweed is presented as a research effort (short for 'Seed-Video') for building a foundational model for video generation. The webpage showcases generated videos and highlights capabilities, but does not indicate availability as a commercial service, API, or product. No pricing, sign-up, or usage details are provided.
• No Independent Verification of Performance ClaimsThe page states capabilities such as 'highly adept at generating lifelike human characters' and 'excels at generating a wide variety of landscapes' but these are qualitative claims from the research team. No benchmarks, user reviews, or third-party evaluations are provided to substantiate these assertions.
• Specific Technical Details May Be Context-DependentThe model's capabilities (e.g., 20-second single shot, 1280x720 resolution, real-time generation) are stated as supported, but the page does not specify hardware requirements, inference times, or conditions under which these are achieved. The 'real-time' claim is not quantified with latency or system specifications.
• References to Other Research Are Not DetailedThe page mentions integrations with Omnihuman, Phantom, Long-Context-Tuning, VideoAuteur, SeedVR, CameraCtrl-II, and SimDrop, but provides no details on how these are integrated, their maturity, or whether they are publicly available. These are research references, not confirmed product integrations.

Text-to-Video Generation

Seaweed generates videos from text descriptions, supporting various resolutions, aspect ratios, and durations. It excels at creating lifelike human characters with diverse actions, gestures, and emotions, as well as detailed landscapes for storytelling.

Image-to-Video with First/Last Frame Control

Users can provide an image as the first frame to direct the model to generate the rest of the video with consistent motion and style. The model can also condition on both first and last frames to create transition videos, giving full control over visual aesthetics.

Reference-Based Video Synthesis

Seaweed can be finetuned to generate videos based on reference images, including human, object, or multiple reference images. This allows synthesizing dynamic video sequences from flexible input options, ideal for creative direction.

Audio-Conditioned Human-Centric Generation

Through Omnihuman, Seaweed generates realistic human characters that match audio input, with synchronized lip movements and body gestures. It also supports generating audio and video together, with audio synced to the action, scene, tone, rhythm, and style of the video.

Define the exact aI Video Automation Tools workflow Seaweed by ByteDance: TikTok-Native AI Video Generator for F should support.

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