Anime Is Cooked. Seedance 2.5 + Claude Is Freaky Good!
Demonstrates a practical, budget-conscious workflow for indie filmmakers leveraging Seedance 2.5's multi-shot prompt adherence and character sheet inputs for animated story-driven content.
What this lesson covers
Adrian details his process for creating a short anime cinematic sequence using Seedance 2.5 on Kie AI combined with Claude for script prompting. He explains character sheet generation, dialogue prompt structuring, audio cloning features, and strategies for managing rendering costs.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 02:16 ↗
Kie AI's playground provides API access to Seedance 2.5 without requiring complex agent setups or MCP connectors.
- 03:32 ↗
Supplying Seedance 2.5 with reference character sheets rather than complete background renders yields better background generation and overall stylistic consistency.
- 07:22 ↗
Rendering initial generation tests at 480p resolution minimizes credit usage while validating shot prompts before committing to higher resolutions.
- 08:04 ↗
Uploading a 15-second MP3 clip to reference audio URLs maintains vocal tone consistency across multiple character video renders.
Workflow outlined in the video
- Use Claude or an equivalent LLM to brainstorm narrative concepts and write detailed character sheet descriptions.
- Generate character sheet images in the desired art style using an image generator like GPT image models or Magnific.
- Reference character images in the Seedance 2.5 prompt using image handles to maintain style consistency across shots.
- Execute initial test renders at 480p resolution in Kie AI to economically verify motion and prompt adherence.
- Upload a reference voice audio MP3 URL to enforce consistent character voice timbre across video clips.
- Re-render selected final shots in 720p or 1080p and assemble the clips on an editing timeline.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
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1,198 views captured 27 September 2026. ReelStack recommendation score: 22/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
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- 25% freshness: 14/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 71/100; likes + 4× comments, smoothed with a 500-view neutral prior