Seedance 2.5 - The Latest Video Generation Model Launched by ByteDance

What Is Seedance 2.5

Seedance 2.5 is a new-generationvideo generationmodel launched by ByteDance. It can generate 30 seconds of high-quality video in a single pass and supports multi-round extension, producing minutes of coherent narrative content. The model supports up to 30 images, 10 videos, and 10 audio clips as reference materials in a single input, comprehensively upgrading white-model reference, motion reference, and creative reference capabilities. The model adds precise timestamp editing and supports green-screen replacement, viewpoint adjustment, and targeted modifications, meeting the needs of professional scenarios such as film and television and advertising.

Main Features of Seedance 2.5

• 30-Second Long Narrative Generation: Generates 30 seconds of high-quality video in a single pass, supports multi-round extension, optimizes shot transitions and scene transitions, and reduces an "greasy feel."
• Multimodal Reference Input: Supports 30 images, 10 videos, and 10 audio clips as references in a single pass, comprehensively understanding image composition, style, characters, and props.
• White Model and Motion Reference: Supports untextured 3D white models to control spatial structure, subject pose, and camera movement, generating lighting and shadows that conform to physical laws.
• Precise Timestamp Editing: Uses timestamps to precisely control the story, viewpoint, camera movement, and rhythm during specific periods, enabling fine adjustments before and after generation.
• Green Screen and Viewpoint Editing: Maintains consistent physical effects of the subject when replacing scenes (clothing fluttering, lighting and shadows, gait), and supports independent adjustment of camera movement trajectories and image viewpoints.
• Industry Scenario Applications: Covers educational courseware generation, industrial simulation, embodied intelligence training data synthesis, and extreme scenario simulation for autonomous driving.
• Seedance 2.5 API Draft (Sample) Mode: Allows creators to quickly generate samples in 480P to validate ideas, and after confirmation, generate a 1080P native high-definition final video highly consistent with the sample with one click, greatly reducing the trial-and-error cost of multiple rounds of retries.

Technical Principles of Seedance 2.5

• Multimodal Reference Fusion Understanding: The model comprehensively parses the image composition, scene style, character features, and prop elements in the 30 images, 10 videos, and 10 audio clips input by the user. Through a cross-modal alignment mechanism, it maps the visual and auditory information in the reference materials to the generation target, achieving complex creative reproduction with multiple subjects, multiple scenes, and multiple shot changes.
• White Model Spatial Structure-Driven Generation: Based on the spatial structure, subject pose, motion trajectory, and camera position information of untextured 3D white models, the model constructs 3D spatial constraints and generates lighting effects that conform to real physical laws according to spatial geometric relationships, including light source direction, color temperature, intensity, and shadow casting, making the composition scheduling and lighting presentation of complex shots closer to expectations.
• Precise Timestamp Editing Control: The model supports timestamp-level audio and video content localization and targeted editing. Through temporal semantic understanding, it controls the story direction, image viewpoint, and camera movement rhythm during specific periods in the generation stage, and in the post-generation stage makes local modifications to characters, actions, sounds, or plot in specified segments while maintaining temporal coherence and realism before and after the modifications.
• Green Screen Physical Consistency Rendering
• : During the green screen scene replacement process, the model recalculates the physical effects on the character based on the physical rules of the target scene, including the direction of clothing fluttering, hair state, gait rhythm, and light-shadow interaction, ensuring harmonious unity between the subject and the new scene at the dynamic and optical levels.

How to use Seedance 2.5

• Choose the entry point: VisitJimengweb version, enter the video generation module and select the Seedance 2.5 model.
• Enter your idea: Describe the video content in the input box, and you can upload images, videos, and audio as multimodal reference materials.
• Extend the video: Use the "Extend Video" feature and specify the connection requirements, keeping the main character, scene style, and sound effects consistent.
• Precise editing: After generation, use timestamps to locate specific segments and make targeted modifications to characters, actions, sounds, or plot.
• Professional control: Upload a white model to control spatial structure and camera movement, or use green screen editing to replace the scene background and automatically match physical effects.

Seedance 2.5's core advantages

• Long-form narrative coherence: Generate 30 seconds in a single pass and support multiple rounds of extension, maintaining consistency in subject features, scene environment, and narrative rhythm, reducing splicing costs.
• High multimodal reference limits: Support up to 30 images, 10 videos, and 10 audio clips in a single pass, and can simultaneously reproduce multi-subject appearances and voices, enabling complex ensemble narratives.
• Precise timestamp control: Use timestamps to make targeted edits to characters, actions, sounds, or plot during specific time periods, with fine adjustments possible both before and after generation, reducing repeated generation costs.
• White model physical lighting: Generate light and shadow, shadows, and material reflections that conform to physical laws based on 3D white model spatial information, enhancing the professional film and television quality.
• Industry-grade editing consistency: When replacing scenes with a green screen, maintain harmonious unity of physical effects such as the direction of clothing fluttering, gait rhythm, and hair state.

Seedance 2.5 usage examples

R2V prompt: Extend the video, connecting with the content and subject of @Video 1 to continue generating a 30-second video, keeping the main character, scene, visual style, and sound effects consistent. A little boy holding a soccer ball runs along the train car. After the subway stops steadily, the side door opens, and he immediately rushes out, with the male lead in close pursuit. The two run all the way through the platform and onto the street, startling passersby. The male lead finally catches up and grabs him. The little boy looks up aggrieved, and the male lead gradually calms down, pats his head, and shows a helpless smile.

R2V prompt: Refer to @White Model 1 for camera movement, shot rhythm, shot size changes, subject trajectory, and camera scheduling. Refer to @Image 2 for the character's appearance, scene, materials, lighting, colors, and fairy-tale atmosphere, and render the white model as a dreamy, warm, children's fantasy-style 3D animated short film. The plot in order is: fantasy sky flight → cloud sea divine beast accompanying flight → dive into the sea → manta ray shuttling through the seabed → mirror-like space-time rift → picking stars in the universe → transform back into the room → father tucks in the blanket → close the picture book and freeze frame.

Comparison of Seedance 2.5 with similar competitors

Application scenarios of Seedance 2.5

• Film and television advertising production: The model can quickly generate cinematic-quality short films and advertising clips, supporting complex camera movements, multi-shot narratives, and one-take creation.
• Educational content transformation: Transform the historical background of texts and scientific principles into immersive video courseware, lowering the threshold for producing teaching materials.
• Industrial simulation training: Generate high-quality synthetic video data for robot perception and operation training and equipment assembly process demonstrations.
• Autonomous driving testing: Simulate low-frequency scenarios such as extreme weather and complex road conditions to provide diverse sample data for system testing and training.
• Creative content production: Supports complex artistic creation such as Peking opera performances, concerts, and children's fantasy animations, enabling the full process from idea to finished film.