WAN V2.6 TEXT TO VIDEO

Wan v2.6 Text to Video is a state-of-the-art text-to-video generation model that converts detailed written prompts into high-quality video content. Developed as part of the fal.ai platform, this model allows users to create custom videos by describing scenes, actions, and narratives using natural language. Wan v2.6 is designed to deliver visually compelling results, incorporating advanced features like multi-shot segmentation, photorealistic rendering, customizable aspect ratios, and seamless integration with audio.

The primary input modality for Wan v2.6 is text, supporting both English and Chinese prompts up to 800 characters in length. The model enables users to define the structure and flow of videos through an intuitive shot-based prompt format. For multi-shot videos, users can specify an overall description followed by shot-by-shot instructions with precise timing, such as: 'Shot 1 [0-3s] ... Shot 2 [3-6s] ...'. This flexibility is ideal for crafting narrative-driven videos, trailers, or mini-stories where scene transitions and timing are crucial.

Wan v2.6 supports video durations of 5, 10, or 15 seconds. Aspect ratios are highly configurable, with options including 16:9, 9:16, 1:1, 4:3, and 3:4, allowing creators to tailor output to their desired format, whether for cinematic, social, or mobile applications. Output resolutions are available in 720p and 1080p, ensuring high-definition results suitable for modern viewing standards.

Integration with audio is a key feature. Users can provide a background audio file via a publicly accessible URL (WAV or MP3 format up to 15MB and 3-30 seconds in length). The model synchronizes the video with the provided audio; if the audio is shorter than the specified video duration, the latter portion of the video will be silent, while if the audio is longer, it will be truncated to fit the video.

Several advanced settings are available. The model supports prompt expansion, leveraging large language models (LLMs) to rewrite and enhance short prompts for richer outputs (though this may increase processing time). Additionally, intelligent multi-shot segmentation, when enabled, produces videos with coherent scene transitions aligned with the prompt’s narrative structure. A safety checker can be activated to enforce content guidelines and minimize inappropriate outputs. Users can also specify negative prompts (up to 500 characters) to define what content should be avoided in the generated videos.

An example documented use case demonstrates the model’s ability to create a mini-trailer: a 3D fox character moves through multiple detailed scenes, each shot defined with specific visual style instructions (such as macro close-ups, wide shots, and cinematic lighting). The prompt format supports both single coherent scenes and multi-shot narratives with clear visual transitions.

Wan v2.6 delivers high video fidelity, supporting descriptors like 'extreme photoreal 4K' and 'cinematic lighting' within prompts, although the output resolution is capped at 1080p. The model is suitable for both commercial and partner use, with an accessible API and playground for experimentation. The model's interface offers straightforward controls for aspect ratio, duration, resolution, audio, and more, making it flexible for a wide range of creative applications.

Main technical considerations documented include:

• Video durations supported: 5, 10, or 15 seconds.
• Aspect ratios: 16:9, 9:16, 1:1, 4:3, 3:4.
• Resolution: 720p or 1080p output.
• Audio files: WAV or MP3, up to 15MB, 3-30 seconds duration.
• Prompt: Up to 800 characters, English or Chinese; shot-based segmentation supported.
• Negative prompt: Up to 500 characters to specify undesired content.
• Advanced controls: Prompt expansion (LLM-based), intelligent multi-shot support, safety checker toggle.

Limitations and best practices:

• Only 720p and 1080p resolutions are supported; 480p and other lower tiers are not available.
• Audio duration must be matched manually, as extra audio will be truncated, and insufficient audio will result in silence.
• Multi-shot segmentation relies on having prompt expansion enabled.

Wan v2.6 is targeted at users seeking an efficient and highly configurable way to transform text descriptions into visually rich video clips, with application across fields such as marketing, entertainment, and creative storytelling—provided the requirements are consistent with the above-documented parameters.