SEEDANCE 1.0 PRO

Seedance 1.0 Pro is a high-quality, image-to-video generation model developed by Bytedance. Its primary function is to transform static images into dynamic, natural-looking videos, making it an ideal tool for content creators, marketers, and creative professionals seeking to bring still visuals to life with sophisticated motion synthesis. The model supports both image and text inputs, which are processed to produce realistic video outputs along with structured JSON information.

Key Capabilities:

Seedance 1.0 Pro excels at generating smooth, physically plausible movement from a single image while preserving the original scene's visual fidelity and temporal consistency across frames. The model's understanding of complex scenes and object relationships allows for the creation of realistic motion patterns that respect physical constraints, such as proper object interactions and believable camera dynamics.

The model is well-suited for various creative scenarios, including:

• Portrait photos: animating facial expressions and subtle personal movements.
• Landscape scenes: simulating natural phenomena like flowing water, swaying trees, or moving skies.
• Product shots: demonstrating rotation or transition sequences for marketing visuals.
• Abstract artwork: adding custom motion effects for engaging social content.

Technical Details:

Inputs:

• Image: The primary input, provided as a URL linking to an image file (accepted formats include jpg, jpeg, png, webp, gif, avif).
• Prompt: An optional text prompt describing the desired motion or scene transformation (e.g., "A skier glides over fresh snow, joyously smiling while kicking up large clouds of snow as he turns...").

Configurable Parameters:

• Aspect Ratio: Choose from 21:9, 16:9, 4:3, 1:1, 3:4, 9:16, or auto.
• Camera Fixed: Set to true or false to control whether the camera position remains static during animation.
• Duration: Select video lengths between 2 and 12 seconds, with a default of 5 seconds.
• Enable Safety Checker: Option to enable model safety checks for content.
• End Image URL: Optionally specify an image that the video should end on, defaulting to none if not provided.
• Resolution: Output in 480p (faster, lower quality), 720p (balance), or 1080p (high quality; specific to the Pro version).
• Seed: Control generation randomness for reproducible outputs or set to random.

Outputs:

• Video: The resulting animated video, provided as an MP4 accessible via URL. Standard output includes HD (1080p) quality for the Pro model.
• JSON: Structured data including details like the seed used for generation.

Quality and Performance:

Seedance 1.0 Pro generates videos up to 1080p resolution, with standard video frame rates, and creates dynamic, fluid motion that maintains natural appearance and physical realism. It accommodates a wide dynamic range of motion control, ensuring stable outputs even with large-scale movements. Generation time varies based on scene complexity and server load.

Best Practices and Considerations:

• Use input images with good lighting and clear subjects for optimal results.
• Compose input images with intended motion in mind to better leverage model capabilities.
• Start with default settings and adjust parameters gradually to achieve the desired effect.
• Experiment with different configurations for motion, duration, and resolution to find the best fit for your content needs.

Implementation and Support:

Seedance 1.0 Pro is accessible via the fal.ai client libraries for JavaScript, Python, Swift, Java, Kotlin, and Dart (Flutter), making integration into various development environments straightforward. Detailed documentation, code samples, and reference implementations are available through the official documentation portal.

Limitations:

While Seedance excels at producing high-quality motion from single images, generation speed and video length are influenced by input resolution and scene complexity. Videos are typically limited to a maximum of 12 seconds. For optimal performance, best practices around source image quality and parameter tuning should be followed.