Which AI Image Model Should You Use? 8 Options for Creating and Revising Images

Quick picks

• Seedream 5.0 Pro in Dreamina: a starting model for original visuals plus controlled edits, design content and multilingual text.
• GPT Image 2.5: a candidate for a detailed brief that will develop through targeted instructions. Flare and Sunburst are distinct API options; ChatGPT presents Images 2.5 as a product experience.
• Nano Banana 2 / Nano Banana Pro: a candidate for reference-led creation and photo changes in Gemini. The Lite model has different limits.
• Midjourney V8.2: a candidate for style exploration with moodboards, personalization and an accompanying Edit Model.
• Ideogram 4.5: a candidate for iterative image changes and a dedicated Precise Edit route.
• Ideogram Vector: choose it when the deliverable should be scalable, editable SVG artwork.
• Firefly Image 5: consider Adobe's own image model when its creative workflow and commercial-use conditions fit the project.
• FLUX.2 [klein] 4B: choose it when a locally managed, openly licensed generation-and-editing workflow is worth the setup.

The practical comparison

Model and access details were reviewed in October 2026. A model's published capability is a reason to shortlist it; this is not a same-prompt performance ranking.

1. Seedream 5.0 Pro in Dreamina: creation and revision in one visual workflow

Why I would start here: Seedream 5.0 Pro suits a project in which the image has to communicate a design intent and then survive feedback. That includes campaign concepts, portraits, visual explanations and multilingual graphics, as well as a single attractive scene.

In the Dreamina image generator, identify the selected version before submitting. Describe the subject, composition, lighting and purpose. Where a supported reference or editing control is available, give it a concrete job: retain the cup's appearance, use another image's composition or change a specified object.

The useful control: the Pro guide documents model-directed content changes and sketch-guided editing. A sketch, colored block or instruction can communicate the intended change more directly than a long style description. Interface features remain separate from model claims: a named interactive control should be available in the route you are actually using.

A small edit is a better demonstration than a broad quality badge

In this archived Seedream 5.0 Pro example, the starting image is a fictional red travel cup on a wooden desk beside a pale notebook. It was generated in a Basic account on October 20, 2026.

The edit asked to change only the closed notebook to blue while retaining the cup, desk, camera angle and lighting. The downloaded result shows the requested blue notebook and broadly retains that composition. It also has a visible AI badge. These two files do not establish that every surrounding pixel remained identical.

Trade-off: a successful concept edit is not proof of exact product reproduction or universal access. For a real catalog item, compare dimensions, label, materials and color with the approved original. Dense text and pixel-precise layouts should receive manual finishing.

Access: US Dreamina users have 120 daily free credits under the current allowance, with actual quantities dependent on the selected output. Seedream 5.0 Lite is a documented Free option; that does not establish that every Pro feature is free. Use the actual model and quote for the task. The Pro resolution record also needs mode and plan qualification; a tier name should not become a universal native-4K promise.

2. GPT Image 2.5: instructions that develop across revisions

Why consider it: OpenAI's Images 2.5 release emphasizes reference fidelity, targeted changes and consistency across multiple editing turns. That makes it a sensible candidate when a brief evolves through instructions such as “keep the composition; move the light source; change only the headline.”

Which model are you choosing? ChatGPT offers the Images 2.5 experience. The API exposes GPT Image 2.5 Flare and Sunburst: Flare is positioned for general generation and editing, while Sunburst targets more detailed work with longer generation times. Those names should not be treated as two guaranteed buttons in every host app.

ChatGPT's surrounding features include Sketch and comments placed on images. A rough drawing can communicate a layout; a comment can identify the intended edit. These are useful interface controls, rather than evidence that the model will preserve every detail perfectly.

Trade-off: the advantage is an approachable revision conversation. The acceptance work remains concrete: after changing the headline, recheck the date, background, subject and any earlier edits. If your final asset needs editable text boxes or an exact production layout, plan a design-tool finishing step.

Access: Images 2.5 is available across ChatGPT tiers, but availability is not unlimited use. The free image allowance is separately limited and no fixed count is adopted here. API pricing and a third-party host's credits are separate from ChatGPT subscription benefits. The Flare or Sunburst selector labels available in Dreamina are third-party options, not Seedream models or a guarantee of identical provider settings.

3. Nano Banana 2 and Pro: match the model to the reference workload

Why consider them: Gemini's image workflow supports generating a new image, editing an uploaded picture and making a composition from multiple pictures. It is useful when the brief begins with existing visual material rather than text alone.

The deciding distinction: Google's current help separates three models. Nano Banana 2 Lite, used with Flash-Lite, is designed for quick images and basic ideas. It is not designed for multiple references or repeated edits. Nano Banana 2, used for image requests with Flash or Pro, accepts multiple references. Nano Banana Pro is available to Google AI plan users as a Redo with Pro option for additional detail.

For a simple concept, Lite may be sufficient. For a person, a room and a style reference combined in one brief, the intended workload points toward 2 or Pro. Repeatedly submitting that reference-heavy task to Lite is not a fair test of all Nano Banana models.

Trade-off: the choice is partly a Gemini mode and plan decision. Pro regeneration also depends on the applicable image quota; paying does not eliminate usage limits. In Gemini, current downloads are 1K without an AI plan and 2K with one. Editing requires an adult account.

Keep the host attached to the name. Flow and other apps can expose a different model lineup or different controls. A Gemini help page should not be used to promise the same entitlement in Dreamina or another platform.

4. Midjourney V8.2: art direction with a separate Edit Model

Why consider it: Midjourney is worth shortlisting when you want to develop an aesthetic across concepts: a moodboard, a visual language, a style reference or a personalized direction. V8.2 is the current default version in the documentation reviewed for this guide.

The useful control: current Midjourney is more than a prompt followed by a reroll. The Edit Model works with V8.1 and V8.2 and supports written changes, generation with up to four reference images, and the Editor's inpainting and outpainting. Quick Edit returns an image to the prompt workflow; Open Editor supports targeted changes.

This replaces older reference and retexturing paths for these versions. An old tutorial's Omni Reference instructions should not be assumed to describe the V8.2 route. Style Reference, moodboards and personalization remain useful ways to guide the look. Raw reduces Midjourney's added creative styling when the prompt needs more influence.

Trade-off: decide whether you want the model to contribute an aesthetic or follow a neutral product brief. Those are different creative expectations. Also check compatibility before building a repeatable process: the Edit Model is not compatible with the tile parameter, and its results are not currently compatible with Remix.

Access: Midjourney's website and Discord service require a paid plan; Basic is USD 10 per month on monthly billing. HD generation and subsequent editing can use different processing paths. A subscription buys access and GPU time, not an unlimited guarantee that every reference combination will work.

5. Ideogram 4.5: a model to shortlist for successive image changes

Why consider it: Ideogram 4.5 explicitly targets image editing, with examples covering color, text modification, products, interiors, architecture and reframing. It is a useful candidate when you already have an image you like and expect several focused revisions.

The useful control: its current model page distinguishes Generate, using a prompt and up to five optional reference images, from Precise Edit, changing part of an existing image. Both API routes offer four quality modes. The model page also describes editing a high-resolution crop and reinserting it into the original, a different process from shrinking the entire source to a small working image.

Those are vendor-documented capabilities. Claims on that page about outperforming competing models are not adopted as results from our own comparison. Review the edited boundaries, color and texture after every operation, including areas that should be unchanged.

Trade-off: a good raster editing model does not automatically produce an editable design document. Ideogram's Layerize Text feature is a separate workspace process; the Vector model below is a separate output route again.

Access: web-app plans and API prices should not be merged. For example, the published API Medium quality rate is USD 0.06 per image for the listed generation and Precise Edit routes. That is an API unit, not a promise that a free app account receives the same configuration. Eligible Free sign-ins receive 30 weekly credits, with public generations; confirm the selected model's actual access before submitting private work.

6. Ideogram Vector: when SVG is part of the brief

Why consider it: if the deliverable is a logo concept, label illustration or print graphic that needs editable shapes, output format can outweigh photographic detail. Ideogram Vector supports text-to-vector generation and image-to-vector conversion, producing editable SVG artwork.

Ideogram's Vector model page, captured October 28, 2026. The illustration is the vendor's example, not an output from our comparison.

The useful control: you can refine individual shapes and colors in a vector editor after export. That is a materially different handoff from receiving a flat image with letters painted into it.

Trade-off: SVG artwork does not make a mark legally cleared or a wordmark typographically finished. Review paths, small-size legibility, letter spacing and production requirements. Choose this route for a vector deliverable; choose a raster model when natural photographic texture is central.

Access: Vector is a distinct model and export workflow. The existence of a free Ideogram account or weekly credits should not be read as confirmed free access to every Vector generation and export option.

7. Firefly Image 5: Adobe's own model within a broader platform

Why consider it: Firefly is a useful environment when generation feeds an Adobe design process. Its current image model selector includes Adobe's Image 3, Image 4, Image 4 Ultra and Image 5 alongside partner models. Image 5 generates one image per operation; Image 4 generates four variations.

The useful control: the documented generation workflow offers content type, aspect ratio and supported composition or style references, with settings varying by model. A composition reference concerns structure; a style reference concerns appearance. They should not be treated as identical ways to preserve a real product.

Trade-off: select the actual Adobe model if Adobe's own-model training and commercial-use positioning is part of your reason for choosing it. A GPT Image or Google model inside Firefly remains a partner model. Adobe's own-model statements and any applicable indemnification should not be extended to every partner or plan.

Access: Firefly has limited free daily generation. Standard is USD 9.99 per month under the US monthly price reviewed here. Standard image generation, premium features and partner-model use do not all consume credits in the same way. Check the chosen model's treatment before interpreting “unlimited images” as every image operation.

8. FLUX.2 [klein] 4B: a specific local model, not a generic FLUX promise

Why consider it: FLUX.2 [klein] 4B supports text-to-image and multi-reference image editing, with a model available under Apache 2.0. Compatible ComfyUI and Diffusers workflows make it a candidate for local development or a production process you manage yourself.

The useful control: save the workflow, model files and settings together. The benefit is control over execution and configuration rather than dependence on a changing web selector. A reference-editing template must match this model; not every familiar control from another image workflow applies unchanged.

Trade-off: local use adds installation, memory management and maintenance. The model card describes approximately 13GB of GPU memory for its setup. Hardware requirements can change with configuration and optimization, so model-card feasibility is not a guarantee for an arbitrary laptop.

Access: there is no universal hosted daily quota when you run it yourself, but compute and operator time still cost money. The Apache 2.0 permission belongs to this 4B release; do not transfer it to every FLUX checkpoint or the differently licensed 9B models. The model card also warns that generated text can be inaccurate or distorted.

Choose for the asset you will actually deliver

Imagine a small café campaign with four deliverables: a realistic cup scene, a revised notebook color, a short launch headline and a scalable illustrated badge.

A realistic image brief deserves its own review of skin, materials, light and geometry. If those are your deciding requirements, compare the realistic image generators against the details in your actual subject.

Compare one image brief and one targeted revision

A useful comparison gives each model the same first job and the same follow-up. For the café concept, begin in Dreamina or another shortlisted route with this proposed brief:

Create a square editorial product concept: one fictional red travel cup with a black lid, standing on a wooden desk beside one closed pale notebook. Eye-level view, soft window light from the left, quiet neutral background. Keep the entire cup and notebook visible, with clear space above them for a headline added later. No lettering, extra cups or accessories.

Then save the selected original and request:

Change only the notebook cover from pale cream to medium blue. Keep the cup's shape, red color, black lid, position, desk, lighting and camera framing consistent. Add nothing.

These prompts are proposed comparison instructions; they were not run for this guide. Compare each revision against its own saved original. The question is whether the new color is correct and whether the cup, shadows and composition survive. A stronger first picture can still require more repair.

If you provide two images, state their roles explicitly: “Image 1 supplies the cup and arrangement. Image 2 supplies the color treatment only; do not copy its objects.” Use a route that accepts those references, rather than giving a second image a role the selected mode cannot use.

Keep the original file, revised file, exact model and host together. Note the requested change, unintended changes, actual output size and total generation/edit cost. That small record lets you choose for a repeatable result instead of remembering only the most attractive preview.

For a first comparison, keep the same prompt and references, then ask each shortlisted model for the same targeted revision. Evaluate the full image, not only the improved object. Record spelling, counts, identity, geometry, unwanted changes, usable resolution and the cost of getting an approved file.

FAQs

Which AI image model would you recommend for general creative work?

Start with Seedream 5.0 Pro in Dreamina when creation and controlled revision belong in one visual project. GPT Image 2.5 and Nano Banana 2 are useful alternatives for instruction-led editing; Midjourney is worth comparing when the aesthetic is central. The final choice depends on the specific input and output requirements.

Which model is best for text in images?

Seedream, GPT Image, Nano Banana and Ideogram belong on a text-focused shortlist, but documented text support is not a measured spelling-success rate. Compare the exact phrase, punctuation and layout. For dense or frequently changing copy, generated artwork plus editable typography is usually easier to maintain.

Can one model generate both photos and editable SVGs?

Do not assume so. A raster image that looks like a vector remains a raster image. Ideogram Vector is an explicit SVG route. Other models can make useful photographic or graphic concepts without producing editable shapes.

Can I use the result commercially?

Use the terms for the actual model, feature, host and plan, together with the rights in your inputs. For Dreamina, use output commercially where the applicable model, feature and plan terms permit it; free credits or output ownership alone do not establish that permission. Adobe's own models, partner models and a locally licensed FLUX release also need to retain their separate conditions.

Start with a model, then test the revision

Seedream in Dreamina is a useful first route for visual creation with references and planned revisions. Keep the alternatives tied to a reason: conversational edits, art direction, precise revision, vector output, Adobe integration or local execution.

The model that makes your favorite first image is only half the decision. Choose one that can also accept the next instruction and deliver the file your project needs.