Remove unwanted object

Remove a distracting object from an image

Use this skill when you need a repeatable image workflow, not a one-off prompt guess. It defines the input, output, tool path, and quality gate before generation starts.

Input

image and object note

Output

clean image

Use this skill Copy options

Best fit

Background and objects

SAMGroundingDINOGPT Image 2

High search-intent cleanup task with clear before-after output

Job to be done

Create clean image from image and object note, using a task-first workflow instead of a loose prompt dump.

Workflow type

masking, inpainting

Quality promise

The output must preserve user intent, survive visual inspection, and be ready for the target channel.

Workflow outline

Prepare the source input: image and object note.
Pick a first tool path: SAM, GroundingDINO, GPT Image 2.
Generate or edit toward the promised deliverable: clean image.
Review the image for drift, broken details, unreadable text, and weak composition.
Save the prompt, references, and final settings that produced the best reusable result.

Copy-ready skill card

Skill: Remove unwanted object

Scene: Fix & Edit / Background and objects

Input: image and object note

Output: clean image

Tools: SAM, GroundingDINO, GPT Image 2

Example input: Object prompt or image: ceramic mug with handle

Use case: ecommerce layout, bundle graphic, or design asset

Background: transparent or isolated neutral

Must preserve: object silhouette, handle shape, material cues

Export need: transparent PNG-ready asset

Quality check: the result must match the promised output and preserve the user intent.

Branch logic

If the user has not provided image and object note, ask for it before generating the final clean image.
If a reference image is provided, preserve the subject identity, proportions, and important details before changing style or scene.
If the first result fails visual inspection, fix the smallest broken area first instead of regenerating the whole image.
If the first tool path fails, switch to the next listed option: GroundingDINO, GPT Image 2.
If the task depends on masks, text, or object edges, inspect those details at full size before accepting the output.

When not to use

Do not use this as proof that the generated clean image is factually real or legally approved.
Do not use it when the user needs professional legal, medical, safety, or regulated-compliance judgment.