OpenAI · Image models
GPT Image 2
OpenAI GPT Image 2 is the image model Scenema uses when a shot needs strict prompt adherence and precise on-screen text.
200 credits on signup, then weekly refills through your first month. No credit card required.
GPT Image 2 on Scenema
GPT Image 2 is OpenAI’s image model, released in April 2026 and introduced with a reasoning pass that plans the image before rendering it. Scenema hosts GPT Image 2 for both keyframe generation and reference image generation. The model is the option Scenema operators reach for when a shot depends on a dense, multi-clause prompt or on legible in-frame text, since GPT Image 2 renders text with roughly 99 percent accuracy across Latin, Japanese, Korean, Hindi, Bengali, Arabic, and other scripts. Scenema exposes GPT Image 2 at up to 1080p in 16:9 and 9:16.
Specifications
GPT Image 2 specifications on Scenema
- Supports
- Text to image, Image to image
- Resolution
- Up to 1080p
- Aspect ratios
- 16:9 and 9:16
- Quality tier
- High
Distinctive
What makes GPT Image 2 distinctive
GPT Image 2 reasons before rendering.
OpenAI’s model runs a reasoning pass over the prompt before generating the image, which is what drives its instruction following on multi-element scenes and layered compositions. Scenema uses that behaviour for keyframes with heavy blocking instructions.
GPT Image 2 renders in-frame text with roughly 99 percent accuracy.
Multilingual text rendering across Latin, Japanese, Korean, Hindi, Bengali, Arabic, and more survives from keyframe into video, without a separate typography pass.
GPT Image 2 serves as a keyframe generator and a reference image generator on Scenema.
Both roles run through the same OpenAI model, so a project can standardise on GPT Image 2 when the shot list depends on strict prompt adherence.
GPT Image 2 handles style range from photorealism to illustration.
The model was trained for broad stylistic range, so a Scenema shot list can shift between photoreal and stylised looks without swapping models.
Use cases
Use cases for GPT Image 2
GPT Image 2 anchors a keyframe with a dense multi-clause prompt.
The reasoning pass keeps element counts, positions, and named subjects in the right places when a shot description runs long.
GPT Image 2 renders a keyframe with readable signage or dialogue text.
In-frame typography arrives correct on the first pass, which matters when the video shot has to preserve the text.
GPT Image 2 produces character reference images with fine facial detail.
The model’s photoreal mode gives Scenema clean reference plates for the entity manifest.
GPT Image 2 renders a shot in a specific illustrated or graphic style.
Style fidelity across illustration, poster, and UI mockup aesthetics fits shot lists that mix mediums.
Compare
How GPT Image 2 compares to other image models
See where GPT Image 2 slots in the lineup on the axes that matter most.
| Model | Best for | Max resolution | Inputs | Quality tier |
|---|---|---|---|---|
| Nano Banana 2 | Google Nano Banana 2 is the default image model behind every Scenema keyframe and reference image. | Up to 1080p | Text to image, Image to image | High |
| Seedream 4 | ByteDance Seedream 4 is the image model Scenema reaches for when a shot needs several candidate keyframes in one pass. | Up to 1080p | Text to image, Image to image | High |
| GPT Image 2 | OpenAI GPT Image 2 is the image model Scenema uses when a shot needs strict prompt adherence and precise on-screen text. | Up to 1080p | Text to image, Image to image | High |
| Flux 2 Klein 9B | Black Forest Labs Flux 2 Klein 9B is the fast, distilled image model Scenema uses for high-volume keyframe and reference passes. | Up to 1080p | Text to image, Image to image | Standard |
| Z-Image Turbo | Alibaba Tongyi Z-Image Turbo is the fast text-to-image model Scenema uses for reference image generation only. | Up to 1080p | Text to image | Standard |
Where it fits
Where Scenema uses GPT Image 2
Scenema runs a highly optimized workflow and uses the best model for the style and for each task under the hood. You choose the quality and the resolution. Here is where GPT Image 2 fits and where a different model does.
- 1
Scenema uses GPT Image 2 when the prompt is long and layered.
GPT Image 2 runs a reasoning pass before rendering, so prompts with stacked constraints on subject, wardrobe, setting, lighting, and camera actually follow the brief. For scenes described in a full paragraph rather than a keyword list, this is the model that reads the whole prompt.
- 2
Scenema uses GPT Image 2 when the shot has legible text in a non-Latin script.
In-frame text renders at about 99% accuracy across Latin, Japanese, Korean, Hindi, Bengali, and Arabic. For international ads, packaging shots, or scenes set in a specific writing system, the text comes out correct rather than approximated.
- 3
Scenema uses GPT Image 2 when the style call is unusual.
The model covers a wide stylistic range, from photographic to illustrated to graphic. If a scene asks for a specific visual treatment that other models default away from, GPT Image 2 holds the style through the composition.
- 4
Scenema uses a different model when you need a 1:1 square keyframe.
GPT Image 2 only outputs 16:9 and 9:16. For square deliverables, Nano Banana 2 supports 1:1 alongside the widescreen and vertical ratios.
- 5
Scenema uses a different model when you are generating high volumes of keyframes.
The reasoning pass makes GPT Image 2 slower per generation. For bulk keyframe passes across a long timeline, Flux 2 Klein 9B renders in about 4 inference steps and clears the queue much faster.
FAQ
Frequently asked questions about GPT Image 2
How does Scenema use GPT Image 2 inside a project?+
Scenema uses GPT Image 2 for both keyframe generation and reference image generation. The image the model returns is either the still that seeds video for a shot, or the reference plate saved to the entity manifest.
When does Scenema use GPT Image 2 over the default?+
When the shot depends on strict adherence to a long prompt, or on legible in-frame text. GPT Image 2 is Scenema’s strongest image model on those two axes.
What resolutions and aspect ratios does Scenema expose for GPT Image 2?+
Up to 1080p, in 16:9 and 9:16. Scenema does not expose 1:1 for GPT Image 2.
Does GPT Image 2 support image-to-image on Scenema?+
Yes. An operator can pass a reference image alongside a prompt to iterate on a locked keyframe.
Who built GPT Image 2?+
OpenAI. The model is available as gpt-image-2 in the OpenAI API and shipped to consumers as ChatGPT Images 2.0 in April 2026.
Related
Other image models on Scenema
Nano Banana 2
Google- Google’s Gemini 3.1 Flash Image model.
- Up to 5 consistent characters and 14 reference objects per generation.
- Default keyframe and reference image generator on Scenema.
Seedream 4
ByteDance- ByteDance’s image model with unified text-to-image and image editing.
- Batch mode returns 4 candidate images per prompt, with identity held across the batch.
- Keyframe and reference image generator on Scenema.
Flux 2 Klein 9B
Black Forest Labs- Black Forest Labs’ distilled 9-billion-parameter Flux 2 variant.
- Renders a full image in about 4 inference steps.
- High-throughput keyframe and reference image generator on Scenema.
Z-Image Turbo
Alibaba Tongyi- Alibaba Tongyi Lab’s 6-billion-parameter distilled text-to-image model.
- Sub-second inference, text-to-image only, roughly 8-step photorealism.
- Reference image generator on Scenema, not used for keyframes.
Start generating with GPT Image 2 in Scenema
GPT Image 2 is available on the Scenema free tier. Sign up and start your first explainer. Scenema uses it wherever it fits the style and the shot.
200 credits on signup, then weekly refills through your first month. No credit card required.