GPT Image 2 adds character sheets and 10-shot storyboards before Seedance animation

• CuriousRefuge's workflow thread shows GPT Image 2 being used as a preproduction tool, not just a still-image model: one character sheet becomes a multi-shot Seedance 2.0 sequence, with consistency close enough to hold across short scenes.
• icreatelife's storyboard method pushes the same pattern into planning, using GPT Image 2 inside Adobe Firefly Boards to generate a color-coded eight-panel chase storyboard adapted by Claude from another creator's prompt.
• AllarHaltsonen's storyboard prompt and AllarHaltsonen's LTX Studio step turn a single image into a 10-shot board with camera notes, then pass that board into Seedance 2.0 for a full animated sequence.
• pzf_ai's album-cover thread pairs Claude with GPT Image 2 on Leonardo AI, splitting creative direction and typography from image execution, then finishing with pzf_ai's upscaler step to clean artifacts at output size.

You can inspect the image prompt and the Seedance prompt behind underwoodxie96's magazine-cover test, browse icreatelife's board screenshot for a fast storyboard format, and follow AllarHaltsonen's thread opener through Midjourney, GPT Image 2, storyboard generation, and Seedance animation. The striking part is how often GPT Image 2 sits in the middle of the workflow, between ideation and motion, rather than at the end.

CuriousRefuge's three examples, Dave, Reginald, and Vivian, all use the same structure: a single GPT Image 2 character reference goes in, then Seedance 2.0 turns it into a short cinematic clip.

According to CuriousRefuge's workflow thread, the consistency is "not 100%" and Seedance still hallucinates a little. That caveat is useful because the workflow still holds up as a shot-planning system even when identity lock is not perfect.

The repeatable pattern is simple:

• Generate one reference sheet in GPT Image 2.
• Feed that reference into Seedance 2.0.
• Use short cinematic sequences, where near-match consistency is good enough.
• Expect some drift, especially across multiple shots.

icreatelife used GPT Image 2 in Adobe Firefly Boards to build an eight-panel chase sequence after asking Claude to adapt Koda's original prompt to a new setup, a woman chasing a tortoise through New York City.

The board itself carries most of the story. It specifies shot type, action beat, and location across roughly 15 seconds:

1. Wide establishing shot on a busy sidewalk.
2. Side tracking shot as the chase starts.
3. 3/4 front angle at the crosswalk.
4. Overhead shot at the intersection.
5. Close action at the subway entrance.
6. Low angle in the subway corridor.
7. Hero side shot for the catch.
8. Wide payoff in a small city park.

That is a real shift in where the image model sits. icreatelife's storyboard method is not asking GPT Image 2 for one hero frame. It is asking for sequence grammar.

AllarHaltsonen's thread is the cleanest step-by-step recipe in the evidence set. The workflow starts with a Midjourney style reference, turns that frame photoreal with GPT Image 2, asks GPT Image 2 for a 10-shot storyboard, then animates the result in LTX Studio with Seedance 2.0.

The chain breaks down like this:

• Start image: Midjourney with --sref 2273339709, per AllarHaltsonen's starting-image step.
• Realism pass: GPT Image 2 rewrites the frame as photoreal while keeping the color grading and aspect ratio, per AllarHaltsonen's realism prompt.
• Board generation: GPT Image 2 creates a 10-shot storyboard with camera angles, SFX, lighting, and color-grade notes, per AllarHaltsonen's storyboard prompt.
• Animation: Seedance 2.0 in LTX Studio uses the storyboard as a start-frame reference and is told to adhere to the notes, per AllarHaltsonen's LTX Studio step.

What makes this workflow more than a prompt trick is the shot metadata. AllarHaltsonen's storyboard prompt explicitly asks for camera brands, lens choices, settings, lens flare, and handheld shake when needed. That turns GPT Image 2 into a lightweight previs tool.

underwoodxie96 posted a smaller version of the same idea: make a polished still in GPT Image 2, then hand it to Seedance 2.0 for motion.

The output here is not a full scene. It is a magazine-cover-style visual with subtle motion, hair movement, and title treatment. That matters because it shows the stack working on design surfaces too, not just cinematic clips.

A second post in the same thread pushed the look into anime-themed beach magazine covers, which suggests the style transfer is robust enough for repeatable editorial layouts rather than one-off demos.

pzf_ai's album-cover thread adds a different division of labor. Claude handles composition, mood, typography, and plain-English prompting, while GPT Image 2 on Leonardo AI handles image execution.

The workflow has two branches:

• If there is already an image, Claude analyzes composition, palette, and mood, then writes the title and layout prompt for GPT Image 2, according to pzf_ai's existing-image step.
• If there is no image yet, Claude proposes visual directions from the lyrics and genre, then writes the cover prompt before a second pass adds the title treatment, according to pzf_ai's no-image step.

The final production detail is new relative to the other examples: pzf_ai's upscaler step finishes the cover with Leonardo AI's Pro Upscaler to clean artifacts that become more visible at larger sizes. That makes GPT Image 2 part of a typography-and-finishing pipeline, not just a concept-art stage.