Firered Image | Edit | v1.1

Firered Image Edit v1.1 Overview

FireRed Image Edit v1.1 introduces improved image editing features and enhanced performance for a smoother editing experience.

The operation edits supplied image references using a written instruction and exposed generation controls.

Firered Image Edit v1.1 from FireRed is available through each::labs in the image-edit family. Required fields are prompt, image_urls.

image_size: Output image size preset. num_inference_steps: Number of denoising steps.

Use the Firered Image Edit v1.1 API when you need this transformation or analysis as a repeatable step in an application or creative pipeline. The sections below distinguish the required material, adjustable controls and checks that matter before delivery.

Capabilities

• The operation edits supplied image references using a written instruction and exposed generation controls.
• image_size: Output image size preset.
• num_inference_steps: Number of denoising steps.
• guidance_scale: Classifier-free guidance scale.
• image_urls: URLs of the images to edit.

Use Cases for Firered Image Edit v1.1

Firered Image Edit v1.1 is useful when this specific operation fits between source preparation and delivery. These scenarios show how it can support different parts of a working pipeline.

Creators

Revise a product scene. Use a representative source or a concise brief, then inspect the result before preparing a larger set of assets.

Design and marketing teams

Restyle a reference illustration. Compare the result with the intended message, composition and destination. Keep reviewable versions of the source and output.

Developers

Prepare alternative visual treatments for a design review. Inspect the actual returned value before connecting it to another step, and keep the chosen request settings with the result.

Start with a clear definition of the desired result and use the exposed controls to reach it. Keep any additional generation, editing or application logic in separate steps so that the effect of this operation remains easy to review.

Tips and Tricks

Make the main subject, composition, lighting and intended visual style unambiguous. When references are available, state which details should be retained and which should change. Start with one clear creative direction before adding several competing requests.

• num_inference_steps: Number of denoising steps.
• guidance_scale: Classifier-free guidance scale.

• Example direction: “Replace the background with a softly lit studio; keep the subject, colors and framing unchanged.”
• Example direction: “Make the lighting warmer while preserving the main subject and its visible details.”

Compare one deliberate adjustment at a time. Inspect the part of the result affected by that change, then check the rest of the asset or response for unwanted side effects before reusing the settings.

Technical Specifications

• Result type: array.
• Required fields: prompt, image_urls.
• image_size: string; options square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9; default "square_hd".
• output_format: string; options jpeg, png; default "png".
• prompt: string.
• num_inference_steps: integer; default 30; minimum 1; maximum 50.

image_urls: URLs of the images to edit.

Values must use the types and accepted options listed in the parameter reference. A displayed default does not remove a required-field requirement. Choose a supported output setting for this entry rather than borrowing a preset from a related model.

Things to Be Aware Of

Review lettering, small structures, edges and any requested product details at the intended display size. An attractive first impression is not enough to establish that a visual matches its brief.

Optional settings are not necessarily interchangeable with those on another entry in the same family. Use the accepted names, types and values shown for this operation.

For media-based inputs, supply a directly retrievable file URL rather than a page containing the asset. Keep the source available while processing. Check the final content in the destination player, editor or application, not only the request status.

Key Considerations

Check edited boundaries, text and unchanged details; the version name alone does not establish a measured improvement over another model.

Per-megapixel pricing: $0.0325/MP (ceil rounding).

Prepare prompt, image_urls before starting. Optional settings include image_size, num_inference_steps, guidance_scale. Keep these settings aligned with the intended delivery, especially when a later step expects a particular type or format.

Run a representative request before scaling to a larger collection. Judge the result against the source and the brief, and account for all generated outputs or usage-sensitive options when estimating a batch.

Limitations

• image_size: allowed values: ["square_hd", "square", "portrait_4_3", "portrait_16_9", "landscape_4_3", "landscape_16_9"].
• num_inference_steps: minimum: 1; maximum: 50.

Unsupported parameters do not establish additional capabilities. A generated result can differ from the intended brief, so review detail and consistency before publication.