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GPT Image 2.6 · Coming soon

GPT Image 2.6

Make the people, props and scene agree.

Prepare GPT Image 2.6 briefs for group scenes, character references and object placement. Use the current Wan2.7 Image workspace to explore a scene you can check.

Image Generation Settings

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0/5000 characters

Prompt Ideas for Wan2.7 ImageClick to load
Rainy group sceneObject placementCharacter views

Create a cinematic rainy-street photograph of exactly three adult friends. Left: woman in a red raincoat holding a food tray. Center: man in a dark teal jacket holding a clear umbrella. Right: man in a mustard-yellow jacket reading a folded map. Keep each face and body distinct, hands anatomically believable, wet reflections coherent and the group clearly separated from background pedestrians.

No Results Yet

Enter a prompt and click Start Generating Free to create your first image.

GPT Image 2.6 is Coming soon here. The connected workspace currently submits image tasks to Wan2.7 Image.

WHAT IS GPT IMAGE 2.6?

A model topic, with a connected workspace alongside it.

GPT Image 2.6 is the model name explored on this page. Wan27Image provides the current image workflow, using Wan2.7 Image for text generation and reference edits. The separate 2.6 entry is disabled until a verified integration is available; selecting it does not switch engines.

FROM BRIEF TO IMAGE

Give each person, prop and position a clear role.

Build a GPT Image 2.6 scene brief as a set of visible relationships. Count the people, assign their wardrobe and place each important object before describing the atmosphere.

Three friends in a rainy urban scene with distinct wardrobe and positions

01MULTI-PERSON SCENES

Assign each person a place in the frame.

For a rainy-street scene with friends, define who stands where and what each person wears. Add expressions, weather and lighting after those identities are clear.

Check every face, hand and body overlap; a cinematic mood can hide structural errors.

Character reference sheet with several views and consistent clothing cues

02CHARACTER REFERENCES

Carry recognizable details between views.

Describe the face, jacket, hair and key accessory that must remain recognizable. Use your own reference for edits and compare these details in each image rather than assuming separate requests share memory.

Reference editing does not guarantee an identical identity in every new composition.

Still-life composition demonstrating specified object positions

03OBJECT PLACEMENT

Name the objects before adding the style.

List the required objects and their left-to-right or near-to-far relationships. A simple still life is easier to inspect when the count and placement are part of the prompt.

Count the visible objects and check contacts, shadows and overlaps.

MADE FOR YOUR NEXT TASK

From a scene idea to a reviewable visual brief.

Prepare the decisions that a storyboard, character sheet or product arrangement needs to communicate.

Filmmaker arranging printed rainy-street references and a yellow-coat wardrobe cue

STORYBOARD ARTISTS

Plan the scene before expanding the sequence.

Explore a shot with a named character, wardrobe and location; record the details that later frames should retain.

Character reference views showing wardrobe and recognizable accessories

CHARACTER DESIGNERS

Collect the features that define the character.

Use a reference sheet to discuss silhouette, clothing and distinctive accessories with your team.

Objects arranged in a clear spatial still life

VISUAL MERCHANDISERS

Settle the arrangement before dressing the scene.

Specify object counts and positions before experimenting with surfaces, background or light.

THREE STEPS TO GET STARTED

Choose. Describe. Review.

Prepare a GPT Image 2.6 task and create with a model available in your workspace.

  1. 01

    Choose a model and a mode.

    Use the connected Wan2.7 Image model. Choose text-to-image for a new scene or edit mode for one reference image. GPT Image 2.6 remains Coming soon.

  2. 02

    Add the brief and check the settings.

    Write the subject, composition, exact text and details to preserve. Add a reference for editing, then review the settings and credit estimate before generating.

  3. 03

    Inspect the example, then review your own result.

    Open the example at full size and compare its text, objects and layout with the brief. When your own image is complete, review it before downloading or continuing to edit.

Pricing

Simple, Transparent Pricing

Choose a plan or credit pack, with credits shown before checkout.

LIMITED TIME: Save up to 50%

Choose Subscription Plan

Basic

Perfect for individuals and light users

$7.50/mo

Billed annually at $90.00

Save 50%

INCLUDES

  • 300 credits / month
  • Wan 2.7 Image access
  • ~75 Nano Banana
  • ~150 Z-Image Turbo
  • ~37 Nano Banana Pro
  • ~21 Nano Banana 2
Standard cost:$0.100/img
Z Image cost:$0.050/img
Pro 1K/2K cost:$0.20/img
Pro 4K cost:$0.35/img
MOST POPULAR

Pro

For professional creators and teams

$19.50/mo

Billed annually at $234.00

Save 50%

INCLUDES

  • 1600 credits / month
  • Wan 2.7 Image access
  • ~400 Nano Banana
  • ~800 Z-Image Turbo
  • ~200 Nano Banana Pro
  • ~114 Nano Banana 2
Standard cost:$0.049/img
Z Image cost:$0.024/img
Pro 1K/2K cost:$0.10/img
Pro 4K cost:$0.17/img

Max

Designed for large enterprises and professional studios

$80.00/mo

Billed annually at $960.00

Save 50%

INCLUDES

  • 9200 credits / month
  • Wan 2.7 Image access
  • ~2300 Nano Banana
  • ~4600 Z-Image Turbo
  • ~1150 Nano Banana Pro
  • ~657 Nano Banana 2
Standard cost:$0.035/img
Z Image cost:$0.017/img
Pro 1K/2K cost:$0.07/img
Pro 4K cost:$0.12/img

BEFORE YOU CREATE

GPT Image 2.6 questions, answered.

Can I generate with GPT Image 2.6 here?

GPT Image 2.6 remains Coming soon and cannot submit requests. The current image workspace uses Wan2.7 Image. Its output should be evaluated as that model's result, rather than a 2.6 preview.

How much does an image cost?

The workspace displays a credit estimate based on the selected available model and settings. Review it before submitting. No GPT Image 2.6 price is offered here while it is Coming soon.

Do I need to upload an image?

Text-to-image starts from a written prompt. Reference editing needs an uploaded image and a description of the change. Separate the intended edit from the details you want to preserve.

Which reference files can I upload?

Upload one JPEG, PNG or WebP reference in edit mode. Use a clear image that you have permission to upload; describe the change separately from the details to preserve.

Which format will I download?

Download uses the image file supplied by the completed result. Check the resulting file type; the download button does not promise format conversion. A GPT Image 2.6 output format has not been configured here.

What happens if generation fails?

Open task history to inspect the status and error. Failed charged tasks follow the existing credit-return process; partial results are handled according to the task record. A refund is confirmed when its status is recorded. Contact support if the task and balance disagree.

Can I draw markup directly in this generator?

This workspace supports text and reference images, without a dedicated markup drawing or submission control. Describe the target region in words. A GPT Image 2.6 markup workflow needs a verified integration before it can be enabled here.

KEEP CREATING

Find the next tool for your image.

Wan2.7 Image

Open the dedicated workspace for generation and reference edits.

Open Wan2.7 Image

Prompt gallery

Explore starting points for subjects, composition and visual direction.

Browse the prompt gallery

Image tools

Find the available tools and model guides for your next task.

Explore image tools

START WITH ONE CLEAR IDEA

A coherent scene starts with clear relationships.

Describe the people and objects first, then place them in the frame. Use a reference when the next image needs to retain a recognizable character or item.

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