video-generation

To generate videos, you create JSON-formatted structured prompts specifying content, style, and technical details, optionally include reference images for guidance, and execute an automated Python script to produce the final video output.

In AIGC video creation, reference images guide the generation process by serving as visual guidance or acting as the first and last frame of the video to ensure specific subject and style details are maintained.

Yes, video generation allows you to control output specifications like aspect ratio by defining these technical details within the JSON-formatted structured prompts before executing the automated Python script.

Yes, you need a Python environment to execute the automated video generation script, which requires the requests dependency to handle the API interactions and process your structured JSON prompts.

The best way to structure prompts for specific video styles is using JSON format to explicitly define content, style, and technical specifications, enabling precise control over the AIGC video generation process.

Limitations include relying on Python script execution and the requests dependency, meaning reference images are strictly used as guidance or as the first and last frame rather than for continuous frame-by-frame video editing.