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character_reference_sheet_prompt.pdf
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Kumar
A mixed reference-driven workflow that builds one stable model reference, creates selected GPT Image 2 start frames, uses Seedance for the speaking anchor shot, then cuts multiple Kling inserts into the final edit.
This breakdown is built around one main speech clip. First create the model reference image from the standard character reference sheet PDF, then generate only the stills needed for the key inserts, animate the dialogue shot in Seedance 2.0, animate the supporting editorial inserts in Kling 3.0, and assemble the final result around the main speaking timeline.
Reference Sheet PDFGPT Image 2Seedance 2.0Kling 3.0CapCut
Workflow
- 1Start by turning the base character setup into a cleaner reusable model reference with the standard reference-sheet PDF.
- 2Create only the stills needed to anchor the main speech shot and the supporting editorial inserts before any video generation begins.
- 3Use Seedance 2.0 for the speaking anchor shot, then generate the supporting editorial inserts in Kling 3.0.
- 4Build the final edit around the main Seedance speech clip, then cut the supporting Kling inserts into that base timeline.
Final montage
36.9 MB • 1440×2560 • 0:19
Breakdown Step
1. Model reference image
Start by turning the base character setup into a cleaner reusable model reference with the standard reference-sheet PDF.
The workflow begins with the usual `character_reference_sheet_prompt.pdf` scaffold, which is used to create the model reference image for the man.
That model reference becomes the identity anchor for the later GPT Image 2 stills, keeping the face, hair, glasses, skin tone, and overall editorial presence stable across the breakdown.
Notes
- The PDF is treated as the reusable reference-sheet scaffold rather than a separately authored prompt block.
Continue the breakdown
Continue with the complete breakdown.
You’ve seen the final result, workflow, and first production step. AVM members can continue through the complete project.
3 more steps12 more prompts22 more assets
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