Descriptions:
Dan Kieft presents a full prompting course for Seedance 2.0, the AI video generation model, built around one central technique: “timeline prompting,” which structures a 15-second generation as a timestamped shot list that combines subject description, wardrobe, environment, mood, color palette, and style markers into a single prompt. Seedance then renders this as a coherent multi-shot sequence from one generation pass.
The workflow centers on a downloadable MD template file used inside Claude or ChatGPT to translate plain-language scene descriptions into properly structured Seedance prompts. Reference images — character sheets, props, environmental assets — can be tagged and passed alongside the prompt to maintain visual consistency across characters and shots. Kieft also covers credit management: generating at 480p or 720p to validate a prompt before committing to 1080p, which burns through credits significantly faster.
The video includes an honest assessment of where Seedance 2.0 excels (fight choreography, multi-character consistency, physical action sequences) and where it still struggles (in-video text rendering, occasional narrative logic failures between shots). A practical post-production technique is demonstrated: generating multiple variations of the same scene, selecting the best individual shots, and compositing them into a final seamless clip — a workflow the presenter notes is standard behind the polished showcase videos circulating online.
📺 Source: Dan Kieft · Published May 02, 2026
🏷️ Format: Tutorial Demo
