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title: "GPT Image 2.5 Flare Edit"
description: "OpenAI GPT Image 2.5 Flare Edit, fast multi-image edit and composite. Wire up to 10 images (Image 1..10) plus an optional mask; the prompt describes the change. Good at placing a real product into a generated scene with the label intact. Same price as Sunburst Edit: draft here, ship on Sunburst Edit. Prefer one edit from the clean source over edits of edits, which add noise and drift, and repeat the preserve list in every edit prompt."
updated: 2026-10-20
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# GPT Image 2.5 Flare Edit

**Node type:** `edit:openai_gpt_image_2_5_flare_edit`  
**Category:** `edit`

## Description

GPT Image 2.5 Flare Edit is OpenAI's fast tier for editing and compositing images: wire up to 10 images into **Image 1** onward, add an optional **Mask**, write the change in **Prompt**, and run the node. It is good at placing a real product into a generated scene with the label intact. Repeat the list of things to keep in every edit prompt. Set **Background** to auto, transparent or opaque, and the output to jpeg, png or webp. It costs about 20 credits per image, the same as the [GPT Image 2.5 Sunburst Edit node](/docs/nodes/edit--openai_gpt_image_2_5_sunburst_edit), so draft here and ship the final frame there.

## Pricing

- **Cost:** ~20 credits per images

## Variant family

- **Family:** `gpt-image-2.5-flare`
- **Is primary:** no
- **All variants:** `generate:openai_gpt_image_2_5_flare_text_to_image`, `edit:openai_gpt_image_2_5_flare_edit`

## Canvas ports

These appear as port handles on the left side of the node.

| ID         | Label       | Details                         |
| ---------- | ----------- | ------------------------------- |
| `prompt`   | **Prompt**  | `TEXT` _(required)_ · multiline |
| `image1`   | **Image 1** | `IMAGE` _(required)_            |
| `mask_url` | **Mask**    | `IMAGE`                         |

## Sidebar config

These render as form fields in the right-side config panel when the node is selected.

| ID                   | Label                  | Details                                                                                                                                                                                                                                                                                                                                                                                |
| -------------------- | ---------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `quality`            | **Quality**            | `TEXT` · options: `low`, `medium`, `high`, `xhigh`, `max`                                                                                                                                                                                                                                                                                                                              |
| `image_size`         | **Image Size**         | `IMAGE_SIZE` · options: `custom`, `square_hd`, `portrait_4_3`, `landscape_4_3`, `auto`, +1 — Match input keeps the first image’s resolution, rounded to 16px. Sizes are scaled to fit 0.66 to 8.29 megapixels and a 3840px edge. Inputs wider or taller than 3:1 need cropping or a custom output size. Custom sizes above 2560x1440 are experimental and can come out over-sharpened. |
| `num_images`         | **Number of Images**   | `NUMBER` · `1…4`                                                                                                                                                                                                                                                                                                                                                                       |
| `output_format`      | **Output Format**      | `TEXT` · options: `jpeg`, `png`, `webp`                                                                                                                                                                                                                                                                                                                                                |
| `background`         | **Background**         | `TEXT` · options: `auto`, `transparent`, `opaque`                                                                                                                                                                                                                                                                                                                                      |
| `output_compression` | **Output Compression** | `NUMBER` · `0…100`                                                                                                                                                                                                                                                                                                                                                                     |
| `sync_mode`          | **Sync Mode**          | `BOOLEAN`                                                                                                                                                                                                                                                                                                                                                                              |

## Outputs

| ID       | Label                | Type    |
| -------- | -------------------- | ------- |
| `images` | **Generated Images** | `IMAGE` |

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_Auto-generated from the Wireflow node registry._

Last updated: 2026-10-20

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Documentation index: fetch https://www.wireflow.ai/llms.txt for the full list of Wireflow docs.