For quick creation and iteration, GPT Image 2.5 Flare pairs the image quality and editing improvements of the 2.5 family with a faster generation path. In CawCut, Flare is available directly in the [Image Generation] node for both new images and image-to-image edits. It is a strong starting point for creator content, product concepts, and visual exploration where you want to compare directions quickly.
1. GPT Image 2.5 Flare Strengths
| Strength | Application |
|---|---|
| Fast generation for rapid iteration: OpenAI positions Flare as the default GPT Image 2.5 choice for most applications, with higher quality than GPT Image 2 at lower latency. | Explore several compositions, product settings, campaign concepts, or visual styles without waiting on a precision-focused pass for every draft. |
| High-quality creation and editing: Flare includes the GPT Image 2.5 improvements in quality and editing while prioritizing speed. | Move from a written creative brief to a usable social post, product visual, or polished concept image in fewer refinement cycles. |
| Reference fidelity: The 2.5 family better preserves subjects and distinctive features from reference photos. | Reimagine a person, character, or product in a different setting while keeping the recognizable subject anchored to the source image. |
| Focused image edits: The model is designed to make a requested change while preserving surrounding details, composition, and visual identity. | Update a background, product color, or small visual element without rebuilding an entire layout or campaign asset. |
| Refinement across a series of edits: The 2.5 family is designed to follow successive instructions while maintaining earlier changes. | Develop a visual through quick rounds of feedback, such as testing alternate backgrounds, styling, or supporting objects while retaining the chosen direction. |
For work where the most exact detail matters more than speed, compare Flare with GPT Image 2.5 Sunburst.
2. Choose a Generation Mode
Flare supports both Image Generation modes in CawCut:
| Mode | Choose it when | What to provide |
|---|---|---|
| [Text to Image] | You want a new visual from a written brief. | A clear description of the subject, layout, style, lighting, and intended format. |
| [Image to Image] | You want to edit, restyle, combine, or extend an existing visual direction. | A source image and an instruction that separates the requested change from details to preserve. |
The [Image Generation] node can generate multiple candidate images in one run. To learn about the controls and compare variants, see Image Generation.
3. Prepare Your Prompt and References
Flare's speed makes it useful for prompt iteration. Give it a brief that is specific enough to guide the layout, but leave room to explore options:
- Identify the main subject and the action or pose.
- Describe framing, background, color palette, lighting, and visual style.
- State the image format or destination, such as a square social post or a wide product banner.
- For text in an image, include the exact words in quotation marks and explain where they belong.
- When using a reference, explain what it controls: subject identity, product appearance, composition, palette, or style.
- For edits, state the target change and list key details that should remain unchanged.
Use a clean image where the source subject is visible. Avoid providing several references that suggest conflicting designs. If you want to edit only one feature, describe that feature directly and keep unrelated requests for a later pass.
4. CawCut Workflow and Settings
- Add an [Image Generation] node to a workflow.
- Select [Text to Image] or [Image to Image].
- Choose GPT Image 2.5 Flare from the model menu.
- Enter the prompt and add or connect a source image for image-to-image work.
- Choose an aspect ratio for your destination, such as [9:16] for vertical social content, [1:1] for square posts, or [16:9] for a landscape layout.
- Set resolution to [1K], [2K], or [4K] and select a quality level from [Low], [Medium], [High], [XHigh], or [Max].
- Choose a [Filled] or [Transparent] background and select how many candidate images to generate.
- Run the node and compare the images. Make a focused change to the prompt or reference when you want a different direction.
For a fuller explanation of image inputs and settings, see Image Generation. To use uploaded images or image groups elsewhere in the workflow, see Image and Image Group Nodes.
5. Limitations and Refinement
Flare is optimized for faster generation; Sunburst may be a better choice when an image needs extra precision and detailed editing. Like other image models, Flare can still misrender exact lettering, tiny product details, or complex layouts. Review text and brand-critical features before using an image in final materials.
| If you notice | Try this |
|---|---|
| The result is close but the layout is wrong | State the focal point, object positions, and reading order more directly. |
| An edit changes the subject or style | Restate the features that must remain unchanged, then describe only the specific edit. |
| Exact text is inaccurate | Quote the text exactly, reduce decorative elements around it, and inspect the final image at full size. |
| You need more control over a small detail | Switch to Sunburst for a precision-oriented pass, or make a narrower edit instruction. |
| You are unsure which direction works | Generate several variations with the same prompt, then refine the strongest composition. |
Check the CawCut credit estimate before generating larger output batches. For more model options, see Supported Models and Credits.