GPT Image 2 + Seedance 2 Workflow
ποΈ Description
A video ad generation workflow described by Raphael Guilhem on LinkedIn. It chains two models in a pipeline where the storyboard from the image model is the prompt for the video model β eliminates guessing and credit waste.
Key insight: itβs not about βuse AIβ but about sequencing models. GPT Image 2 for visual intent (storyboard as a single grid image β like old nanobanana), Seedance 2 for motion with continuity preserved between frames.
π Links
- Original LinkedIn post β Raphael Guilhem
- Awesome Nano Banana Pro Prompts β related prompt library for Nano Banana Pro (Google); the YouMind collection also has a GPT Image 2 collection
π§© Pipeline (3 steps)
- Brief + packshot β feed the workflow a creative brief and a product image
- GPT Image 2 β storyboard β generates frame-by-frame as a single image grid; review before spending credits on video
- Seedance 2 β video β storyboard as prompt, each frame becomes a clip; the model knows exactly what you want because you designed it precisely
Output: a video ad where every frame is intentional. No guessing, no credit waste, no βletβs try againβ.
π§© Why it works
- Temporal consistency β Seedance 2 maintains product detail between cuts (previous tools lost jewelry facets between frames)
- Spatial structure preservation β the pipeline preserves the structure from the reference frame in a way earlier video tools couldnβt
- Camera control β respects camera path intention (smooth dolly, consistent horizon), which was an AI video pain point
- Economics of revision β in a traditional shoot, revision = reshoot. Here, revision = updating the prompt
π§© Use cases (from comments)
- Luxury / jewelry commercials β temporal consistency good enough for the brand
- Architectural flythrough (AEC) β Sketchup β stakeholder-ready video in half a day (instead of a week with a visualization specialist)
- Product photography with animation β instead of a static packshot
β οΈ Open question: interior vs exterior β indoor lighting control is still hard for AI video (most tools struggle with professional architectural).
π Further reading
- Awesome Nano Banana Pro Prompts β prompt library for Google Nano Banana Pro (alternative image model)
- Agentic Systems β broader context for multi-model pipelines
- Open Design β bundles the same stack: gpt-image-2 + Seedance 2.0 + HyperFrames as built-in media generation with a prompt gallery (93 prompts)
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