September 9, 2026AIExplore

How to Use Ideogram Magic Fill for Local Image Edits

Use Ideogram Magic Fill to replace local regions while locking typography, faces, and layout that must stay unchanged.

Magic Fill is Ideogram inpainting for local changes. Select a region, keep locked elements explicit, and describe only what should appear in the fill. Official materials describe Magic Fill across Canvas and Ideogram 4.0 editing surfaces where available. AI editing features require priority credits and are not available in the slow queue. Overview: /explore/ideogram.

This guide covers the workflow in detail. Related Ideogram articles: /blog/how-to-extend-images-with-ideogram-outpainting, /blog/how-to-use-ideogram-for-posters-and-layouts-with-readable-text, /blog/how-to-use-ideogram-for-upscaling-and-background-removal.

When this workflow is the right job

Use Magic Fill when one object, prop, or patch must change and the rest of the image is already good. Prefer Remix for whole style shifts. Prefer Extend when you need more canvas outside the frame.

Step by step workflow

1. Start from a strong base

Do not Magic Fill a composition you would not keep.

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: Base QA [ ] Layout approved [ ] Text spelling approved [ ] Only one region needs change. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Base QA [ ] Layout approved [ ] Text spelling approved [ ] Only one region needs change" that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Inputs:
Use the actual source material required for this task, together with the intended audience, destination, format, and quality requirements. Specify relevant files, text, URLs, structured data, reference assets, dimensions, language, tone, timing, model or generation settings, credentials, field mappings, or integration values when they apply. Keep secrets out of the example and use the product's supported credential or configuration mechanism.

Workflow:
1. Start with one representative input that contains the important characteristics of the real workload.
2. Configure ideogram specifically for the requested task and make the important settings explicit.
3. Run the first pass and inspect the result against the objective.
4. Correct only the settings or source material responsible for a failed requirement instead of changing everything at once.
5. Validate the intermediate result before passing it to the next step.
6. When the result meets the requirements, save the successful configuration so the same process can be repeated consistently.
7. If this is a multi-step workflow, verify each handoff and keep a clear fallback or review path for failures.

Requirements:
The example must use supported functionality only. Do not invent product features, pricing, limits, integrations, model names, API behavior, or unavailable settings. Preserve important source data and formatting. Validate required fields before processing, handle empty or invalid input explicitly, prevent accidental duplicate processing where relevant, and stop or route the item for review when a required step fails. For credentials, use the supported secure configuration rather than placing secrets directly in the content.

Expected output:
The final result should directly satisfy the "Base QA [ ] Layout approved [ ] Text spelling approved [ ] Only one region needs change" requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

2. Select the region

Mask the problem area with enough surrounding context.

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: Select plate only Include a little table texture for blending. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Select plate only Include a little table texture for blending" that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Select plate only Include a little table texture for blending" requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

3. Prompt the delta

Describe the replacement and name locked elements.

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: Replace empty plate with lemon tart. Keep headline text and border unchanged.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Replace empty plate with lemon tart. Keep headline text and border unchanged." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Replace empty plate with lemon tart. Keep headline text and border unchanged." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

4. Review edges

Check seams, scale, and whether locked text drifted.

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: Edge check [ ] Scale believable [ ] Text unchanged [ ] No new clutter. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "Edge check [ ] Scale believable [ ] Text unchanged [ ] No new clutter" that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "Edge check [ ] Scale believable [ ] Text unchanged [ ] No new clutter" requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Practical Magic Fill prompts

Lemon tart fill

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: On this poster, replace the empty plate with a slice of lemon tart. Keep the headline text, background color, and hand drawn border unchanged.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "On this poster, replace the empty plate with a slice of lemon tart. Keep the headline text, background color, and hand drawn border unchanged." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "On this poster, replace the empty plate with a slice of lemon tart. Keep the headline text, background color, and hand drawn border unchanged." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Sign text

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select sign] Replace blank sign with text "OPEN LATE" in white condensed lettering. Keep wall texture and lighting.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select sign] Replace blank sign with text "OPEN LATE" in white condensed lettering. Keep wall texture and lighting." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select sign] Replace blank sign with text "OPEN LATE" in white condensed lettering. Keep wall texture and lighting." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Swap prop

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select cup] Replace the plastic cup with a ceramic mug. Keep desk and window unchanged.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select cup] Replace the plastic cup with a ceramic mug. Keep desk and window unchanged." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select cup] Replace the plastic cup with a ceramic mug. Keep desk and window unchanged." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Remove clutter

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select left corner] Fill with matching wall texture only. Keep subject and lighting.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select left corner] Fill with matching wall texture only. Keep subject and lighting." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select left corner] Fill with matching wall texture only. Keep subject and lighting." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Add plant

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select empty floor] Add a small potted plant. Keep furniture and camera angle.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select empty floor] Add a small potted plant. Keep furniture and camera angle." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select empty floor] Add a small potted plant. Keep furniture and camera angle." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Fix sky

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select blown sky] Fill with soft overcast clouds. Keep horizon and buildings.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select blown sky] Fill with soft overcast clouds. Keep horizon and buildings." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select blown sky] Fill with soft overcast clouds. Keep horizon and buildings." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Badge fix

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select badge] Replace badge with a simple circular seal. Keep poster type locked.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select badge] Replace badge with a simple circular seal. Keep poster type locked." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select badge] Replace badge with a simple circular seal. Keep poster type locked." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Food garnish

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select plate edge] Add a small herb garnish. Keep dish and tableware.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select plate edge] Add a small herb garnish. Keep dish and tableware." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select plate edge] Add a small herb garnish. Keep dish and tableware." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Shoe color

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select sneaker body] Change body to matte navy. Keep laces and sole.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select sneaker body] Change body to matte navy. Keep laces and sole." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select sneaker body] Change body to matte navy. Keep laces and sole." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Label clean

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select label zone] Simplify label to a plain rectangle. Keep bottle silhouette.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select label zone] Simplify label to a plain rectangle. Keep bottle silhouette." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select label zone] Simplify label to a plain rectangle. Keep bottle silhouette." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Window view

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select window] Show rainy city lights outside. Keep interior room.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select window] Show rainy city lights outside. Keep interior room." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select window] Show rainy city lights outside. Keep interior room." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Shadow clean

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select harsh shadow] Soften shadow to match soft window light. Keep subject pose.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select harsh shadow] Soften shadow to match soft window light. Keep subject pose." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select harsh shadow] Soften shadow to match soft window light. Keep subject pose." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Icon swap

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select icon] Replace star icon with a simple leaf. Keep wordmark.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select icon] Replace star icon with a simple leaf. Keep wordmark." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select icon] Replace star icon with a simple leaf. Keep wordmark." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Fabric patch

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select torn area] Fill fabric with matching weave. Keep garment color.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select torn area] Fill fabric with matching weave. Keep garment color." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select torn area] Fill fabric with matching weave. Keep garment color." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Chair remove

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select chair] Fill with matching floor and wall. Keep main subject.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select chair] Fill with matching floor and wall. Keep main subject." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select chair] Fill with matching floor and wall. Keep main subject." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Book cover

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select book face] Replace cover with soft abstract pattern. Keep room.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select book face] Replace cover with soft abstract pattern. Keep room." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select book face] Replace cover with soft abstract pattern. Keep room." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

Hand prop

Scenario:
A realistic ideogram workflow is being prepared for Use Ideogram for Posters and Layouts with Readable Text using ideogram. The starting requirement is: [select hand object] Replace phone with a paper notebook. Keep arm pose.. The work should be tested on a representative input first so the result can be reviewed before the same process is applied to the full project or production workload.

Objective:
Create a production-ready result for "[select hand object] Replace phone with a paper notebook. Keep arm pose." that directly supports the article use case. The output should be specific, reviewable, and reproducible rather than a generic demonstration. Keep the requested goal as the primary outcome and avoid adding unrelated features, assumptions, or unsupported capabilities.

Expected output:
The final result should directly satisfy the "[select hand object] Replace phone with a paper notebook. Keep arm pose." requirement and be understandable without guessing what was supplied or configured. A successful run should produce the intended output in the requested format, with the important values and workflow decisions clear enough to reproduce the result. If the workflow can fail, the expected behavior should also make the failure visible and provide a clear next action instead of silently producing an incomplete result.

How to improve Magic Fill results

Change one major element per pass.

Name locked headlines, faces, and borders every time.

Keep the generation window as small as practical while including context.

Official Magic Fill tips note that upscaling first can give more pixels for fine fixes.

If scale is wrong, redo the mask rather than stacking style adjectives.

Reject fills that invent extra text near locked typography.

Prefer simpler replacement objects when the first fill is noisy.

Do not use Magic Fill to redesign the whole poster.

Check contact shadows so the new object sits in the scene.

Budget priority credits before a long edit chain.

Save before and after pairs for stakeholder review.

If edges shimmer, tighten the mask and reduce scene complexity in the prompt.

Prompting guidance for this workflow

Write the fill as a replacement sentence, not a full scene rewrite.

List keep constraints before the change when the base is valuable.

Describe materials of the new object clearly.

Avoid asking for three unrelated fills in one instruction.

Match lighting language to the surrounding pixels.

Say matching wall texture when you only need cleanup.

Limitations to respect

Availability can vary by account, plan, and rollout.

Priority credits are required for AI editing features per official FAQ.

Complex hair and glass edges may still need manual touch up.

Canvas docs are partly deprecated, but Magic Fill remains in current Ideogram 4.0 workflow lists where available.

Practical tips for this workflow

Approve spelling before any prop fill on text heavy posters.

Keep a mask discipline: smaller focused windows beat giant selections.

Photograph real product references only when legal needs exact SKUs.

If the fill changes type nearby, regenerate with a stricter keep list.

Use Replace BG instead when the whole backdrop is the problem.

Chain fills only after each seam passes review.

For food props, simpler shapes reduce weird melt.

Stakeholder notes should point to a region, not a vague make better.

Archive failed masks so the team learns window sizing.

Do not Magic Fill and Extend in one confused instruction.

When identity matters, avoid filling faces unless necessary.

Export a comparison crop around the edit for QA.

A local edit should be invisible in a casual scroll if the brief was only a prop change.

If you need a new concept, regenerate. Magic Fill is not a concept engine.

Magic Fill is surgical. If you need a new story, regenerate.

Mask discipline beats prompt poetry. Tight windows with context win.

Food fills fail when the replacement is more complex than the plate area allows.

Always re read nearby typography after a fill lands.

Upscaling before a tiny fix can help because the window has more pixels to work with.

Contact shadows tell the eye whether the new object belongs.

Priority credits are the gate for AI editing. Plan them like production time.

Stakeholder comments should include a region screenshot, not only adjectives.

If the fill invents a second prop, simplify the request to one object.

Wall texture fills are often safer cleanup than inventing new furniture.

Do not fill faces unless the brief truly requires identity edits.

Keep before and after crops for QA packets.

When edges shimmer, shrink the window and reduce adjectives.

Poster props should never be filled before headline spelling is locked.

Chain fills only after each seam would survive a client scroll test.

If the brief lists four fills, schedule four passes with review gates.

Matching materials matter more than dramatic adjectives inside a small mask.

A fill that changes nearby type is a failed fill even when the prop looks perfect.

Local edits inherit the honesty of the base image. Fix the base first if needed.

Describe the replacement object with size intent such as small garnish or centered tart.

Matching weave and matching wall texture are underrated cleanup prompts.

If typography sits inside the mask by accident, redraw the mask.

Priority credit burn climbs quickly with casual refill spam. Gate requests.

Food and fabric fills benefit from simpler geometry.

Keep lighting verbs consistent with the surrounding pixels.

A successful fill should not require a paragraph of apology in the QA note.

Use Replace BG when the entire backdrop is wrong rather than filling huge regions.

Archive mask screenshots with the final for training juniors.

Identity sensitive faces deserve extra caution and fewer experiments.

If scale looks toy like, regenerate with explicit scale language.

Do not fill and restyle in one instruction.

Client scroll tests catch seams that designers forgive on zoom.

Stop after the region problem is gone. Resist decorative extras.

Treat each successful fill as a closed ticket. Open a new ticket only for a new region.

Common mistakes

Using Magic Fill to change the entire concept
Not locking text or layout elements
Stacking unrelated edits before review
Giant masks that rewrite half the image
Editing before spelling is approved
Ignoring priority credit limits

Related Ideogram articles: /blog/how-to-extend-images-with-ideogram-outpainting, /blog/how-to-use-ideogram-for-posters-and-layouts-with-readable-text, /blog/how-to-use-ideogram-for-upscaling-and-background-removal. Return to /explore/ideogram for the broader guide set.