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✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekView Feedback for Leonardo AI for WP

Leonardo AI for WP stores every render, the prompt, the model, and the negative prompt in your media library and meta tables. SleekView Feedback reads those rows and renders them as a sorted board with votes, status pills, and category tags so designers and clients react to images directly.

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SleekView Feedback board for Leonardo AI for WP

From Leonardo renders to a live board

Leonardo AI for WP writes every render into the media library with the prompt, the model, the negative prompt, and the seed attached as meta. That is fine when you want to find one image, but it is painful for an art lead who needs to know which of the last three hundred renders match the brief, which prompts keep producing the same generic anime style, and which finetuned models are pulling their weight.

SleekView Feedback reads any data source you point it at, whether a custom query against wp_posts, the Leonardo log table, or a slice of wp_postmeta filtered by model. It renders one card per image with the thumbnail, prompt summary, vote count, author, category pill, and status pill, and every upvote writes straight back to the score column you wire up.

The result is a public board where prompt revisions, finetune requests, and brand flags live next to the render they refer to. Designers stop digging through the media library, brand leads see which prompts are pulling their weight, and the art director gets a sorted backlog of what to regenerate first.

Workflow

From Leonardo renders to a sorted board

1

Pick the Leonardo source

Point SleekView at the post type or table Leonardo AI for WP writes to. Generated images in the media library, prompt templates in a CPT, or render logs all work. Apply a WHERE clause to scope by prompt or model so the board only surfaces what is in review.
2

Map score, status, category

Choose which column counts as upvotes, which one carries the status such as draft or approved, and which one holds the campaign or finetune tag. SleekView reads those columns on every page load so the board reflects what your designers marked in the last hour.
3

Embed the feedback view

Drop the SleekView block on any page or use the shortcode. Visitors see a paginated, filterable grid of images with thumbnail, vote count, author, status pill, and category pill. Restrict it to designers or open it to clients with a single toggle.
4

Votes write back to the row

Every upvote increments the score column on the source row. Future Leonardo jobs can sort by that score, retire prompts that look stale, and prioritise renders earning real attention. The feedback loop becomes a number in the database instead of a hunch.

Sample board

Sample Leonardo AI review board

A look at how recent Leonardo renders land on a SleekView Feedback board, with prompt revisions, finetune requests, brand flags, and designer praise mixed together in one sortable list.
234 votes
Phoenix model renders every product against the same blue gradient
@designluna Bug Investigating
192 votes
Add a finetune trained on our existing brand photography
Marta Olsson Feature request Planned
151 votes
Negative prompt ignored on the Anime model
Diego Ferreira Bug In progress
117 votes
New editorial style finetune matches our color palette
@editorcora Praise Shipped
62 votes
Seed parameter not saved when regenerating from the gallery
Tomasz Nowak Bug Open
25 votes
Allow batch renders from a CSV of prompts
Sofia Mendes Feature request Under review

Comparison

Plugin admin vs SleekView Feedback

Leonardo plugin defaults

  • Generated images sit in the media library with prompt buried in row meta
  • No way for designers or clients to upvote images that hit the brief
  • Brand guideline complaints live in chat screenshots, not next to the render
  • Status of each generation is buried in row level meta with no shared view
  • No public queue to show clients which prompts are queued, shipped, or killed

SleekView Feedback

  • One card per Leonardo render with thumbnail, votes, status pill, and prompt tag
  • Upvote writes back to the source column so future renders sort by real score
  • Filter by model, finetune, or status using any column in wp_postmeta
  • Embed on a public page or behind a login with one block or shortcode
  • Designers stop arguing in chat and start voting on renders inside WordPress

Features

What SleekView Feedback gives you for Leonardo AI for WP

Render review built in

Each Leonardo render becomes a votable card on the board with the thumbnail front and center. Designers see which prompts produce on brand images, which look generic, and which ones get retired. The board acts as a living mood board you can sort and filter.

Brand flags inline

Add a Brand issue category and any reviewer can flag a render with one click. The flag lives next to the source row, so the art director fixes the prompt or finetune before the next batch instead of finding out at launch from a brand lead email.

Upvotes feed back into runs

Because votes write to the source column, you can sort Leonardo queues by score, give top voted prompts more credit budget, and retire ones nobody likes. The feedback loop becomes a number in the database that future renders can read.

Audience

How teams use the Leonardo feedback board

Design team review

Internal designers upvote Leonardo renders worth shipping and flag the ones that miss brand. The board replaces a Figma file and gives the art director one screen to triage the queue every morning across campaigns.

Client facing image vote

Agencies share the board with clients so they vote on which Leonardo renders to keep. The client sees which images are queued for next week without ever touching the WordPress admin or media library.

Brand compliance queue

Brand teams use the board as a guideline queue. Anything flagged with high votes gets reviewed first, and resolved renders move to a Cleared status so the audit trail stays visible without raw generation logs.

The bigger picture

Why a Leonardo feedback board changes the loop

Leonardo AI for WP is great at producing volume. It is much worse at telling you which of those renders should actually be published, regenerated, or quietly deleted. Most teams end up with a media library full of variations and a chat channel full of opinions, and the two never meet.

Designers miss the prompts that work, brand leads keep shipping templates that drift from guidelines, and clients lose trust because nobody can show them what was decided. A feedback board changes that pattern. Renders stop being throwaway artifacts and start being something the team and the client react to in public.

Upvotes give you a cheap, honest signal about which prompts deserve more budget. Brand issue flags give you a backlog sorted by impact instead of by whoever shouted loudest in the last review. And because every vote writes back to the source row, the next Leonardo run already knows what worked.

The result is fewer wasted credits, fewer brand misses, and a much shorter loop between the prompt you write today and the image that ships tomorrow.

Questions

Common questions about SleekView Feedback for Leonardo AI for WP

No. SleekView Feedback reads directly from whatever table or post type the Leonardo plugin uses. You point it at the source, pick the columns for votes, status, category, author, and title, and the board renders. No ETL job, no sync, no duplicated data. Anything Leonardo writes shows up on the next page load.

 

Yes. SleekView ships with anonymous voting backed by cookies so public visitors can upvote images without an account. You can also require login if you want the board restricted to designers or paid members, and the same view handles both modes with a single toggle.

 

Each visitor gets a cookie scoped vote token per item. Logged in users are tracked by user ID. A built in rate limit caps how often a single IP can hit the vote endpoint, which keeps public boards honest without forcing a signup wall in front of casual readers.

 

Yes. SleekView accepts a WHERE clause when you wire up the data source, so you can scope the board to one finetune, a base model, a campaign, or any combination of meta fields. Different boards on different pages can use different filters.

 

Brand is just a category value on the row. You can write it into a meta key the plugin already understands or a dedicated column. Either way it shows up in the WordPress admin alongside the render, so the brand lead can act on the flag without leaving WordPress.

 

They write back to the source column, which means the plugin and your own queries can sort future jobs and bulk renders by that score. Several teams use the score to gate which prompts get more credit budget, which makes the board operational and not just a vanity dashboard.

 

Both. SleekView ships as a Gutenberg block, an Elementor widget, a Bricks element, and a classic shortcode. Theme developers can call the render function from PHP and pass a configuration array, so you can mount the board on any template without touching the page editor.

 

The view paginates server side and only loads rows it needs to render the current page. Indexed columns stay fast even on long tables. For really big projects, scoping the board by campaign or date keeps both the query and the audience focused so the page feels snappy even at scale.

 

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