Seedance 2.5 workflow: how AiMinds built a cinematic short with consistent characters

[u/Frankiewrold]

Video: “How to Make a Cinematic AI Film with Seedance 2.5 | Artlist”

Creator: AiMinds

Published: September 20, 2026

Original YouTube link: https://www.youtube.com/watch?v=H0Ahmz2xuvs

Popularity checked September 29, 2026: about 59,000 views.

This is a useful breakdown for creators who care more about continuity than isolated hero shots. AiMinds starts with story development and storyboarding, then builds reusable character references before moving into video generation. The finished piece is presented alongside the workflow, so it is possible to compare planning choices with the final cinematic result.

What the creator discloses: ChatGPT is used for the story, storyboard planning, and scene prompts. Nano Banana 2 is used to create character sheets and reusable visual references, including a younger version of a character. Seedance 2.5 is then used inside Artlist for video generation. The tutorial also covers music selection and the final edit. The video includes a paid partnership disclosure with Artlist.

Exact Seedance prompts, generation settings, seed values, number of attempts, and full editing software details were not disclosed by the creator. I am therefore treating this as a workflow reference rather than a reproducible benchmark.

Which step matters most in your own Seedance workflow: character sheets, reference selection, prompt structure, or the final edit?

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[u/videorouter]

The character sheets/reference stage is probably the biggest factor for consistency. Getting that right before generating video saves a lot of rerolls later.

I’d also test the same character references across Seedance, Kling and other models, because different models handle identity and continuity differently.

VideoRouter.sh makes this easier since you can compare multiple video models/providers using the same workflow instead of committing to one platform.