GPT Image 2.6: AI Image Generation, Editing & Creative Workflows
Explore GPT Image 2.6Imgtovid AI Team
6 min read
Creating an image is only the first step in many visual projects. Product photography may require background adjustments, marketing graphics need to fit different layouts, and creative assets often go through multiple rounds of refinement before they are ready to use.
GPT Image 2.6 brings image generation and editing together in a more flexible workflow. It supports text-to-image creation, reference-based editing, multiple output formats, and different generation settings.
On ImgToVid, you can choose between GPT Image 2.6 Flare and Sunburst, refine images with reference materials, and prepare visual assets for subsequent AI video creation.
This guide covers the essential features, practical workflows, and settings to help you get more from GPT Image 2.6.
GPT Image 2.6: An Overview
GPT Image 2.6 is an AI image generation and editing model series designed for creating and refining visual content.
It supports several common creative tasks:
Text-to-Image: Generate photographs, illustrations, product visuals, and creative concepts from text prompts.
Image Editing: Modify backgrounds, objects, composition, and selected details in existing images.
Reference-Based Creation: Use reference images to guide subject appearance, environments, and visual styles.
GIF and SVG Generation: Create animated or vector-based visual assets for supported workflows.
Rather than treating every generation as a standalone result, you can build on existing images through targeted instructions and successive edits.
You can access the model through the GPT Image 2.6 page on ImgToVid.
Generate Images with More Precise Prompts
A useful image prompt should explain what to create, how to arrange the scene, and what the final image needs to achieve.
A practical prompt structure includes four elements:
Element | What to Describe |
|---|---|
Subject & Setting | Main subject and surrounding environment |
Composition | Camera angle, subject placement, and framing |
Visual Style | Lighting, colors, materials, and artistic direction |
Requirements | Aspect ratio, intended use, and elements to preserve or exclude |
Example: Travel Photography
Prompt:
Create a photorealistic travel photograph of a traditional Chinese water town in the early morning. Show a stone bridge crossing a calm canal, whitewashed houses with dark tiled roofs, and a few travelers walking along the riverside. Include subtle water reflections and light morning mist. Use natural daylight, balanced architectural composition, and realistic environmental details. Wide 16:9 landscape composition, authentic Chinese architecture, no text or watermark.
Why it works:
Defines the main architectural and environmental elements.
Establishes the relationship between the bridge, canal, and travelers.
Specifies lighting and camera composition.
Includes a clear aspect ratio for website banners and editorial covers.
For a series of related images, maintain consistent instructions for color, lighting, composition, and visual style while changing the main subject or setting.
Edit Existing Images with Reference Materials
When an image is already close to the desired result, targeted editing is often more practical than generating a completely new one.
ImgToVid supports image references and editing with up to 16 editing reference images. Mask and markup tools can also help identify specific areas for modification, depending on the available Create workflow.
Common Editing Tasks
Task | Example Instruction |
|---|---|
Background Replacement | Replace the background while preserving the original subject and lighting details. |
Object Replacement | Change only the selected object and keep surrounding elements unchanged. |
Composition Adjustment | Reposition the subject and extend the background to create negative space. |
Detail Refinement | Improve selected textures, shadows, or other local details. |
Working with Multiple References
Different images can provide different types of visual information. For example:
Reference A: Subject appearance and clothing.
Reference B: Background and environment.
Reference C: Color palette and photographic style.
A clear instruction helps define how these references should be used:
Use Reference A for the subject's appearance, Reference B for the environment, and Reference C for the overall color palette. Create a cohesive image while maintaining the subject's recognizable features.
Tips for Consistent Editing
For more predictable results, keep each editing instruction focused:
Identify exactly what needs to change.
Specify which elements must remain unchanged.
Use regional selection when available.
Review each result before starting another edit.
For product packaging, logos, and precise text, always inspect the final image manually. AI editing does not guarantee pixel-level preservation.
Models, Generation Settings & Output Formats
Choosing the right model and output settings helps match generation workflows to different creative requirements.
Flare vs. Sunburst
ImgToVid currently offers two GPT Image 2.6 model options.
Comparison | Flare | Sunburst |
|---|---|---|
Main Focus | Faster generation | Image quality and editing consistency |
Recommended Tasks | Initial concepts and creative exploration | Detailed visuals and iterative editing |
Workflow | Explore different directions | Refine selected results |
Flare is the default option on ImgToVid and is suitable for testing initial ideas. Sunburst can be selected when more attention is needed for visual details and successive editing.
Actual results may vary depending on the prompt and generation settings.
Resolution and Quality
The current GPT Image 2.6 page provides three resolution options and five quality levels.
Setting | Available Options |
|---|---|
Resolution | 1K, 2K, 4K |
Quality | Low, Medium, High, XHigh, Max |
For initial concepts, start with a lower quality setting and focus on composition. Once the image is finalized, consider increasing the resolution or quality to match the intended use.
Supported Output Formats
Different formats serve different purposes. ImgToVid currently provides the following output options:
Format | Text-to-Image | Image Editing | Typical Use |
|---|---|---|---|
PNG | Yes | Yes | Graphics and transparent assets |
JPEG | Yes | Yes | Photography and product images |
WebP | Yes | Yes | Website visuals |
GIF | Yes | β | Simple animated content |
SVG | Yes | β | Scalable vector graphics |
From Image Generation to AI Video
A generated image can serve as more than a finished visual asset. It can also become the starting point for an AI video project.
Before converting an image into a video, consider three factors:
Subject Clarity: Keep the main subject visually distinct from the background.
Movement Space: Leave enough room for planned actions or camera movement.
Visual Consistency: Maintain natural perspective, lighting, and spatial relationships.
Example: Prepare an Image for Video
Image Prompt:
Create a cinematic wide-angle photograph of a traditional stone pathway winding through a lush Chinese mountain landscape. Include a wooden pavilion beside the path and a traveler looking toward the distant valley. Keep the pathway clearly visible, with natural vegetation, layered mountains, and soft afternoon sunlight. Realistic travel photography, 16:9 composition.
Video Prompt:
The camera slowly moves forward along the stone pathway toward the wooden pavilion. The traveler takes a few natural steps while nearby tree branches move gently in the breeze. Distant clouds drift slowly across the mountain ridges. Preserve the original architecture, landscape, and character appearance. Smooth cinematic camera movement and realistic motion.
A Simple Image-to-Video Workflow
Create: Generate or edit a suitable image with GPT Image 2.6.
Prepare: Check the composition, subject details, and available movement space.
Animate: Upload the image to an Image-to-Video model.
Refine: Adjust movement and camera instructions based on the generated video.
GPT Image 2.6 handles the creation and refinement of static images, while Image-to-Video models generate motion. Combining the two workflows makes it easier to develop visual concepts into dynamic content.
Explore Image-to-Video on ImgToVid
Frequently Asked Questions
What is GPT Image 2.6?
GPT Image 2.6 is an AI image generation and editing model series that supports text-to-image creation, reference-based workflows, and editing of existing images.
What is the difference between Flare and Sunburst?
Flare focuses on faster generation and creative exploration, while Sunburst is positioned for image quality and iterative editing workflows.
What resolutions and quality settings are available on ImgToVid?
The current page provides 1K, 2K, and 4K resolution options, along with Low, Medium, High, XHigh, and Max quality settings.
Can GPT Image 2.6 use multiple reference images?
Yes. The ImgToVid editing workflow supports up to 16 reference images. The way these images are used depends on the specific editing task.
Can GPT Image 2.6 generate GIFs and SVGs?
Yes. Both are listed as text-to-image output formats on ImgToVid. Image editing currently supports PNG, JPEG, and WebP.
Can GPT Image 2.6 images be used for commercial projects?
Commercial usage rights depend on ImgToVid's terms of service, subscription plan, and applicable licensing conditions. You should also ensure that uploaded reference materials are properly licensed.
Create with GPT Image 2.6 on ImgToVid
From generating original images to refining existing visuals and preparing assets for video production, GPT Image 2.6 offers a flexible workflow for different creative projects.
Choose between Flare and Sunburst, adjust the generation settings, and refine your results with reference-based editing.
Start creating with GPT Image 2.6 on ImgToVid.