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Featured images and diagrams

Generating images, overlaying text, using reference images (logos, characters), and regenerating failed images

Sorabun automatically generates an image matching the article's title. Under "Settings > Generation defaults > Featured image," you can set:

  • Generate automatically by default (eyecatch_enabled)
  • Overlay the title text (eyecatch_text): images with text overlaid tend to get a higher click rate on social media and in listings
  • Style (eyecatch_style): flat, photo-realistic, and so on

Sorabun composes the on-image text before handing it off

Passing the title straight to the image generator causes problems like these.

  • In 「LINE公式アカウント料金プラン改定|26年10月の変更点と節約術」, the "|" gets drawn straight into the picture. It's a meaningful character in search results, but it has no meaning inside an image
  • The image generator decides where to wrap the line itself, and since it doesn't understand Japanese word boundaries, it can break a word in the middle (「…料金プラン改」/「定|26年10月の…」)

So Sorabun builds the text that goes on the image from the title before handing it over.

Original titleText on the image
LINE公式アカウント料金プラン改定|26年10月の変更点と節約術LINE公式アカウント料金プラン改定<br>26年10月の変更点と節約術
【2026年最新】ふるさと納税のやり方2026年最新<br>ふるさと納税のやり方
ChatGPTとGeminiはどっちが優秀?料金・精度・日本語力を徹底比較ChatGPTとGeminiはどっちが優秀?<br>料金・精度・日本語力を徹底比較
  • Separators such as | | / 【】 become the line break. The symbol itself isn't included
  • When there's no separator, Sorabun picks a break point in this order of preference: punctuation, then a particle boundary, then a change in character type, choosing whichever candidate falls closest to the middle
  • It avoids starting a line with punctuation, a small kana (っ・ゃ・ゅ・ょ), or a particle (が・を・に・へ・の)
  • Even a long title is capped at 3 lines. Anything beyond that isn't readable at thumbnail size
The title itself doesn't change

Only the text placed on the image is adjusted. The article's own title stays exactly as it is.

It can still come out wrong

Since an image generation AI is what actually draws the text, it doesn't always wrap it as instructed. With the Pro "Image inspection" feature turned on, Sorabun checks for garbled text, text running off the edge, and characters that were added but aren't in the title, and regenerates the image if it finds a problem.

Illustrative images

Separately from diagrams, you can add a picture that brings the scene to mind, placed right in the body text.

For an article that walks through a procedure, the two split the work like this.

RoleExample
DiagramExplains how something worksBoxes and arrows showing the flow from application to approval
Illustrative imageMakes the scene easy to pictureA desk with documents and a laptop, in morning light

In a 5,000 character article with only two diagrams, the rest of it is a wall of text. Reading-style articles, personal stories, and opinion pieces can end up with no diagrams at all (the AI decides a diagram wouldn't be effective there). That's exactly where this feature helps.

Settings

Found under "Settings > Generation defaults > Number of illustrative images" (photo_count).

  • Don't include (default)
  • AI decides: adds an image only where the scene is hard to picture from the text alone (up to 3 images). If the text already carries the scene everywhere, it can come out to 0 images
  • 1 to 5: sets a fixed number of images

Art style (photo_style) offers the same 4 choices as the featured image (flat illustration, photo-realistic, minimal, gradient). Which AI generates them is set at "Settings > Models > Image generation > Illustrative image" (photo_provider).

The default is "Don't include"

Each image costs money to generate (a few yen to a bit over ten yen per image). Simply updating the plugin never increases what you've been paying per article on its own. Switch it on yourself when you're ready to use it.

Design decisions

  • No text is drawn into the image. Japanese characters are prone to coming out garbled, and garbled characters in a photo-style picture stand out far more than a garbled diagram does. Even in a scene with a screen or a sign in it, that surface is left blank or abstract
  • Sections that already have a diagram are skipped. Two pictures stacked under the same heading leaves the reader unsure which one to look at
  • Not added for abstract discussion, definitions, or lists of numbers. A picture wouldn't add any meaning there
  • If an image can't be created, that one image is skipped and the article is finished anyway. An article is complete with or without illustrative images

Diagrams

Sorabun generates and inserts flowcharts, step diagrams, and comparison diagrams based on the body content.

  • Number of diagrams (diagram_count): 0 to 5, or "Let AI decide"
  • Aspect ratio (diagram_aspect): 16:9 by default

With "Let AI decide," diagrams are only inserted where the explanation is genuinely complex, so you don't end up with meaningless diagrams.

Image inspection (Pro)

Sorabun shows the generated image to an AI to check for obvious problems (three-fingered hands, extra limbs, garbled text) and regenerates it if it finds any (eyecatch_check, defaults to 1 retry).

If the problem isn't fixed after a retry, it's left as a warning on the job. Treat that as a cue to replace the image yourself.

Note that Sorabun is already instructed to avoid close-ups of hands and fingers, which are prone to these errors. It prioritizes objects, scenery, and symbols over people, and when people do appear, keeps them small and shown from behind.

Regenerating a failed image later

If only the image generation fails for an article, Sorabun stops it as a draft instead of publishing it. Otherwise the article would go out to readers and search engines with a missing image. The reason it stopped is left as a warning in "Jobs / History."

A stopped article can be regenerated from the WordPress posts list. Hover over the row and a "Regenerate Image" link appears. Click it and Sorabun does the rest. The same link appears for pages too.

  • Featured image: regenerated using the style, reference images, and text overlay settings you already have configured, then set on the article automatically
  • Diagrams (Pro): rereads the current headings in the body and chooses new spots for the diagrams. Even if you've edited the headings since the article was first generated, the diagrams still land in the right places

The article stays in draft even after it's regenerated. Check the images, then publish it yourself.

"Regenerate Image" also appears for articles that simply have no featured image, such as ones created before you added an API key. Add the key later, then regenerate them all at once.

Regenerating an image you don't like

Even when nothing has failed, you can end up not liking the finished image. For articles Sorabun created, the row also offers an entry point for that case.

What appears on the rowWhen it appearsWhat it does
Regenerate ImageArticles missing images, or where image generation failedCreates only what's missing
Regenerate featured imageArticles Sorabun createdReplaces the current featured image with a newly generated one
Regenerate diagrams (Pro)Articles Sorabun created, where the body has an h2 headingRemoves the previous diagrams, then inserts new ones

These are kept separate by type. If they were combined into one button, regenerating just the featured image would also regenerate the diagrams, adding cost you didn't need.

The previous image isn't deleted

Even after it's replaced, the previous image stays in the Media Library. If you like the new version even less, you can switch the featured image back to the old one from the article's edit screen.

Published articles are replaced immediately

Unlike rescuing an article stuck in draft, "regenerate" also applies directly to published articles. As soon as the new image is ready, it's what readers see. You can switch the article back to draft first if you'd rather hold off on republishing.

Regenerating diagrams removes the diagrams that were there before, then inserts the new ones. Clicking it repeatedly doesn't add more. It doesn't touch any images you added to the body yourself.

Regenerating just one image

When you don't like just one diagram or illustrative image, you can replace only that one.

On the "Sorabun > Images" list, click "+ Regenerate one at a time" on the article's row, and the images in that article are listed. Click "Regenerate this one" on the one you want to fix.

  • Only that one image changes to a new picture. The other images and the body stay the same
  • The original content stays in WordPress's revision history, so you can revert at any time
  • It's regenerated with the same content, so for a diagram, the flow and the items stay exactly the same, and only the artwork changes
How this differs from regenerating in bulk

The "Regenerate diagrams" button above regenerates all of the article's diagrams. If you use it when you only want to fix one, the rest of the diagrams you were happy with change too, adding cost you didn't need.

Articles created before v2.80.0 aren't supported

Regenerating just one image needs a record of what that picture was generated from. Sorabun didn't keep this record before this feature existed, so articles created before that don't support regenerating one image at a time. In that case, regenerate them all in bulk as before.

Regenerating in bulk (the Regenerate Images screen)

If you generate 10 articles and 3 of them stop because of images, clicking each one individually isn't realistic. "Sorabun > Jobs / History > Regenerate Images" collects the articles that are missing images.

  1. Open "Sorabun > Jobs / History" and choose "Regenerate Images" from the tabs at the top
  2. Check the boxes for the articles in the list (check the header box to select all)
  3. Click one of the buttons below
    - Create missing images
    - Regenerate featured image
    - Regenerate diagrams (Pro)

For each article, the list shows whether it has a featured image (and what that image is), how many diagrams it has, and which type of generation failed. Use "Articles missing images / All articles" at the top to switch views. Only articles Sorabun created appear in the list.

You can do the same thing from the Posts list

If you'd rather work from the familiar "Posts" list, the same actions are there too, under its bulk actions ("Sorabun: Create missing images" / "Sorabun: Regenerate featured images" / "Sorabun: Regenerate diagrams"). If you only want to fix one article, the link that appears when you hover over its row is quicker.

Articles that don't qualify (nothing to regenerate, or no permission) are silently skipped, and the screen shows how many were started and how many were skipped.

You can process at most 20 in one run

Each image costs money. Running this from "Select All" in the list could rack up charges for hundreds of images without you meaning to. Sorabun stops after 20 and leaves the rest for next time (the screen tells you this happened). To continue, select the remaining articles and run it again.

Articles where diagrams can be regenerated

Inserting diagrams requires an h2 heading in the body. For articles without headings, Sorabun can't decide where to place a diagram, so "Regenerate diagrams" doesn't appear.

Using reference images (logos, characters)

You can have your own logo or character appear in generated images.

  1. Upload the image to the media library
  2. Specify it in the reference image field under "Settings > Generation defaults" (eyecatch_ref_ids / diagram_ref_ids)
  3. Choose how it's used
    - Always use it: includes it every time
    - Leave it to AI: only uses it when it fits the content

Sample images: match the look of your older articles

If you have featured images or diagrams from before you started using Sorabun, you can register them as "samples." New images then lean toward their colors, technique, line weight, shading, and typographic feel, so when old and new articles sit side by side in the posts list, the ones Sorabun made don't clash with the rest.

  1. Put the images you want to use as samples (older featured images, older diagrams) in the media library. An image already attached to an article can be picked as it is
  2. In the sample image row under "Settings > Generation defaults," choose them separately for featured images and for diagrams (eyecatch_sample_ids / diagram_sample_ids; up to 2 of each)
  3. This applies to images generated from then on. Images already generated don't change

This differs from reference images (logos, characters) in whether the subject actually appears in the image.

Samples aren't handed to the image model as they are. Passing the image itself would copy over its content along with its look, producing "an image that's a dead ringer for the sample." Instead, the AI (Gemini) looks at the sample first and turns its colors, technique, line weight, lighting, and typographic feel into a short English sentence, and that sentence is what goes to the image model. Since the sentence never says what's depicted, there's nothing for it to copy. This extraction happens only once, when you change the sample, and the extracted sentence appears next to the sample field on the settings screen as "Extracted look." Extraction requires a Gemini API key (not needed on the Cloud edition).

Composition is not matched

Only the way an image is drawn carries over. Where things sit on the canvas is decided per article. Matching that too makes every featured image on the site the same shape, leaving a list where only the words differ. Sorabun used to match it, which is why registering a sample made everything look like one design.

Samples set a direction, not an identical image

While samples are registered, the style setting (flat, photo-like, etc.) isn't used. The samples take priority, and the AI is told to make the image look like the next picture in a series by the same artist. A sample is a cue for "looks like the same series," not a picture to reproduce exactly. If the result still doesn't match closely enough, narrow it down to one sample (so the direction doesn't waver), or pick a different sample that's more representative of the look you want. If the extracted look sentence seems off, choosing a different sample re-runs the extraction.

For character reference images, Sorabun instructs the AI to draw the character facing forward with the face visible, in the same pose, expression, and colors as the reference image. The rule that avoids showing people (keeping them small and turned away) doesn't apply to characters. During the pre-publish check, if a character comes out facing away or as a silhouette, Sorabun regenerates it.

Choosing an image generation AI

Under "Settings > Model," you can choose Gemini or OpenAI (GPT Image) separately for featured images and diagrams.

GeminiOpenAI
CostCheapSomewhat higher
Text renderingGoodGood
Setting keyeyecatch_provider / diagram_providerSame
Model nameimage_model, resolution via gemini_image_sizeopenai_image_model, quality via openai_image_quality

OpenAI's models (GPT Image 2.5)

You choose this with openai_image_model. The default is gpt-image-2.5-flare.

ModelSuited for
gpt-image-2.5-flare (default)Fast. Image quality matches the previous generation (GPT Image 2). Start here
gpt-image-2.5-sunburstHigher quality than the previous generation, though it takes longer
gpt-image-2The previous generation
gpt-image-1The old generation. Resolution is fixed

Sorabun generates the featured image and diagrams together for each article, so the default favors speed. If you'd rather take your time over each image, switch to sunburst. The field accepts free text, so when a new model comes out, you can just type its name in.

With 2.5, openai_image_quality gained two more levels: xhigh (highest) and max (maximum). The higher you go, the more it costs.

Unsupported values still produce an image

The available quality options depend on the model's generation. When a setting isn't accepted, Sorabun drops it and retries once. Only that setting gets ignored; the image itself still gets created. Without this, upgrading the model generation could leave you unable to create even a single featured image that day.

If images aren't generated

The key used for image generation may not be set, or you may have specified a model outside your free tier. Check the error details in "Jobs / History."