Ideogram 4.5 Edit.
- Ideogram
- Image to Image
- $0.008–$0.22 per image, depending on quality
Ideogram 4.5 Edit transforms images with text prompts, reference images and optional masks.
What Ideogram 4.5 Edit is good at.
Best forWhere it fits
Ideogram 4.5 Edit is useful when this specific operation fits between source preparation and delivery. These scenarios show how it can support different parts…
Limits and tipsMake 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…
Related modelView modelAlibaba | Qwen Image | 2.1 | Turbo | Image Edit
Run it on the same input to compare output, speed and price.
Model documentation
About this model
Ideogram 4.5 Edit transforms images with text prompts, reference images and optional masks. Create image variations for design and visual content on each::labs.
Overview
Ideogram 4.5 Edit Overview
Ideogram 4.5 Edit transforms images with text prompts, reference images and optional masks. Create image variations for design and visual content on each::labs.
Text instructions, a source image and optional edit references or masks steer the revision.
Ideogram 4.5 Edit from Ideogram is available through each::labs in the ideogram family. Required fields are prompt, image_url.
reference_image_urls: Up to four references plus the primary source, or three references plus the primary source and mask. mask_url: Mask matching the source dimensions.
Use the Ideogram 4.5 Edit 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
Capabilities
- Text instructions, a source image and optional edit references or masks steer the revision.
- reference_image_urls: Up to four references plus the primary source, or three references plus the primary source and mask.
- mask_url: Mask matching the source dimensions.
- image_size: auto preserves source geometry, downscaled by the provider if needed.
- image_url: Primary source image to edit.
Use cases
Use Cases for Ideogram 4.5 Edit
Ideogram 4.5 Edit 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 poster layout. Use a representative source or a concise brief, then inspect the result before preparing a larger set of assets.
Design and marketing teams
Change an existing design concept. Compare the result with the intended message, composition and destination. Keep reviewable versions of the source and output.
Developers
Prepare image variations for visual 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 & tricks
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.
- mask_url: Mask matching the source dimensions.
- image_size: auto preserves source geometry, downscaled by the provider if needed.
- 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 spec
Technical Specifications
- Result type: array.
- Required fields: prompt, image_url.
- image_size: string; options auto, square, square_hd, portrait_4_3, landscape_4_3, portrait_16_9, landscape_16_9, custom; default "auto".
- prompt: string.
- reference_image_urls: array.
- mask_url: string.
image_url: Primary source image 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
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.
Some input combinations have cross-field requirements. Check the conditional rules in the parameter reference before combining optional settings.
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
Key Considerations
Check the accepted mask and reference options for this entry rather than copying parameters from the text-to-image entry.
Public estimate: $0.008–$0.22 per image.
Prepare prompt, image_url before starting. Optional settings include reference_image_urls, mask_url, image_size. 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
Limitations
- prompt: minimum characters: 1; maximum characters: 10000.
- reference_image_urls: maximum items: 4; item string; item format: uri.
Conditional combinations must also satisfy the cross-field rules. Unsupported parameters do not establish additional capabilities. A generated result can differ from the intended brief, so review detail and consistency before publication.
Questions about this model
The short answers. For anything specific to your setup, talk to our team.
Ideogram 4.5 Edit modifies an existing image according to written instructions. A source image provides the starting point, while optional reference images and a mask can guide the changes. On each::labs, this supports image-editing workflows that begin with an existing visual rather than a blank canvas.
Ideogram 4.5 Edit helps designers and content creators explore revisions to existing images through text prompts. Describe the change you want and provide reference images when helpful. An optional mask can identify areas to change and areas to preserve, supporting more focused image-editing tasks.
Ideogram 4.5 Edit starts from a supplied image, while text-to-image generation starts from a written description. The editing model returns revised images and offers regular and high-precision editing modes. High precision includes unchanged-pixel restoration, helping preserve image regions outside the intended changes.
