GPT Image 2,
running your whole video.
Framesail puts GPT Image 2 to work as a video generator's image engine — every character reference, storyboard panel, and shot still in your project can render on it. You don't prompt it one image at a time; you hand the pipeline a script and it draws the film.
Not a prompt box
What GPT Image 2 does inside a video pipeline.
A long-form video is hundreds of images that have to agree with each other. Framesail gives GPT Image 2 the three jobs where that agreement is won or lost — and wires each one to the script to video pipeline so the output is a film, not a folder of pictures.
01
Character & environment references
Generated once, approved, then locked. Every later shot renders against the reference instead of reimagining the character — that's what keeps a cast on-model across a long-form video.
02
Storyboard panels
The AI Director breaks your script into shots and GPT Image 2 draws each panel — framing, blocking, and style, timed to the voiceover. You review the plan before anything expensive renders.
03
Shot stills
Panels become the full-resolution stills your video models animate. Quality tier is your call — draft cheap, then spend where the frame carries the video.
References lock via character consistency, panels come from the AI storyboard generator, and the stills feed the video models. GPT Image 2 is the draftsman; the pipeline is the studio.
The cost dial
Quality tiers, real costs.
GPT Image 2 runs about 25 to 80 credits per image inside Framesail, depending on the quality tier you pick — low for storyboard drafts and bulk panels, high for the frames that carry the video. On the $24 Creator plan's 12,000 monthly credits, that's roughly 150 to 480 GPT Image 2 stills a month. Orientation is per shot: landscape, portrait, or square.
Bring your own keys
Rather pay OpenAI directly? On the BYOK plan your GPT Image 2 renders bill at OpenAI's own rates — no platform credit ceiling.
Model stack
One model per job. Swap it when it's not.
GPT Image 2 draws the stills. Motion runs on Veo, Kling, Seedance, Hailuo, or Wan; scripts on GPT or Claude; voice on ElevenLabs or MiniMax. When a render disappoints, you swap the model — not the platform.
Script
3 providers
GPT-5.4
OpenAI
Swap model
Image
2 providers
Nano Banana Pro
Swap model
Video
5 providers
Seedance 2 Pro
ByteDance
Swap model
Gemini OmnisoonVoice
2 providers
ElevenLabs v3
ElevenLabs
Swap model
The field moves fast — as new frontier models ship, they land right here.
Your stack
GPT-5.4 · Nano Banana Pro · Seedance 2 Pro · ElevenLabs v3
Same picker, different strengths
GPT Image 2 vs. Nano Banana Pro for video stills.
GPT Image 2's edge is the quality dial: a 25-credit low tier that makes drafting a whole storyboard cheap, and a high tier for hero frames. Nano Banana Pro — Google's Gemini 3 Pro image model — bills at a flat rate per image. Both render against the same locked references and the same style definition, so switching costs nothing but the render.
Which one draws your style better isn't something a landing page can tell you. Define the style, render the same shot on both, keep the winner. The picker exists so that test costs two images — not two subscriptions.
Model questions
GPT Image 2, answered straight.
Is GPT Image 2 free to use?
Not anywhere, honestly — it's a paid OpenAI model. Inside Framesail it starts around 25 credits per image on the low quality tier and runs up to about 80 on high. On the bring-your-own-keys plan, your GPT Image 2 renders bill at OpenAI's own rates instead of platform credits.
Can GPT Image 2 make videos?
Not by itself — it's an image model. Framesail is what turns its output into video: GPT Image 2 draws the character references, storyboard panels, and shot stills, then video models like Veo, Kling, or Seedance animate those stills into segments that cut together against the voiceover. That's the difference between this page and a prompt box.
GPT Image 2 or Nano Banana Pro — which should I pick?
Both sit in the same picker, so you don't have to decide from a sales page. GPT Image 2 gives you a quality dial — cheap tiers for bulk storyboard work, high for hero frames. Nano Banana Pro (Google's Gemini 3 Pro image model) bills at a flat rate. Which one draws your style better is an empirical question: render the same shot on both and keep the winner.
Can I use my own OpenAI API key?
Yes — that's the bring-your-own-keys plan. You connect your own OpenAI account, GPT Image 2 renders bill to it directly at OpenAI's rates, and there's no platform credit ceiling. The pipeline, storyboard, and character locking work the same either way.
What GPT Image 2 settings does Framesail expose?
Quality (low, medium, or high — which is also the cost dial, roughly 25 to 80 credits per image) and orientation (landscape, portrait, or square). Everything else — the prompts, references, and style language each shot renders with — comes from your project's style definition and storyboard, and you can edit any of it.
More on the main FAQ page.
Hand GPT Image 2 a script.
Start with one brief. Character references, storyboard, stills, motion, voice — one pipeline, with GPT Image 2 doing the drawing.
GPT Image 2 is an OpenAI model. Framesail is an independent product and is not affiliated with or endorsed by OpenAI; model names are trademarks of their respective owners. Credit figures reflect Framesail's model pricing as of July 2026.