Portrait retoucher
A sleeve overlaps a hand, making a simple garment mask hard to draw.
Review the overlap at close range and keep the hand outside the editable region where possible.
Outfit editing
How to use stable diffusion img2img change clothes techniques
A Stable Diffusion outfit-editing workflow starts with a portrait and a description of the new outfit; masking is a separate technique that depends on the tool. This guide is editorial—our partner link opens Supavisual’s paid photo editor, not Stable Diffusion or a guaranteed garment-masking tool.
Partner editor · Link only
Partner link only. Sign in if asked, open the paid photo editor at /edit, and upload your image and enter any instructions there. Img2img does not send an image or prompt; there is no free generation here.
Open Supavisual photo editor
This entry point vs the general one
General image-to-image editing can restyle an entire picture. An outfit edit has a narrower goal: change the garment while retaining enough of the portrait to recognize the original.
- stable diffusion img2img Understand how source images and text prompts work together in a broader transformation.
- img2img vs inpaint Compare whole-image transformation with edits confined to a selected region.
- how to use img2img for beginners Follow a first-pass workflow before tackling a clothing-specific edit.
The 3 things an outfit edit needs to do
These are priorities for this task, not guarantees of any particular model or editor.
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1
Identify the garment
Name what should change, such as the coat rather than the entire look. Specify the replacement garment, its color, material, and fit.
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2
Protect the portrait
Describe what should remain: face, hairstyle, pose, hands, and setting. If the editor supports masking, select the clothing while avoiding skin and accessories.
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3
Check the boundaries
Inspect the collar, sleeves, fingers, and fabric edges. Revise the prompt or mask when the garment spills onto nearby areas.
How to start: choose the editing scope
Start with the source portrait and decide how much of it may change. The table compares two common Stable Diffusion workflows; available controls vary by editor.
| Whole-image img2img | Masked clothing edit | |
|---|---|---|
| Area processed | The full source image | A selected clothing region |
| Starting input | Portrait and outfit prompt | Portrait, outfit prompt, and mask |
| Useful when | A broader fashion restyle is acceptable | The rest of the portrait should stay closer to its source |
| Main trade-off | Face, pose, or background may also shift | Mask edges may need careful cleanup |
| Prompt emphasis | Describe both the desired look and details to retain | Describe the replacement garment and its boundary |
| First review | Compare overall likeness with the source | Inspect seams, exposed skin, and overlapping hair |
Limits to watch for in different portraits
A clothing prompt cannot by itself guarantee identity preservation or clean fabric edges. Match the method to what the source image makes difficult.
Fashion concept artist
The goal is a new outfit and a noticeably different editorial mood.
A broader image-to-image pass may suit the concept, but compare the face and pose with the source.
First-time editor
A long prompt asks for a new coat, lighting, backdrop, and camera angle at once.
Begin with one garment change so it is easier to see which instruction caused an unwanted result.
What to inspect before keeping an edit
Illustrative images, not a verified before-and-after edit of the same portrait. In your own result, compare the face, pose, hands, and garment edges directly with the source.
Source portraitOutfit conceptStart with one clear clothing change
Choose a portrait with visible clothing, name the replacement garment, and state what should stay unchanged. Check the editing options available after opening the tool; masking and model-specific controls depend on the destination.
Write the outfit prompt first
- Describe the replacement garment
- Name the details to preserve
- Review the result against the source
FAQ about changing clothes with img2img
It can produce a different outfit while retaining some facial features, but preservation is not guaranteed. A clothing mask, when supported, limits where edits are requested; you should still compare the result with the source.
Use a whole-image approach if broader changes to the portrait are acceptable. Inpainting is generally the more targeted choice when only the clothing should change, although poorly placed mask edges can still affect nearby details.
Name the original area to replace and describe the new garment's type, color, material, and fit. Add a short instruction to retain important features such as the face, pose, and background, then judge the actual output rather than relying on the wording alone.
Clothing touches complex boundaries around hair, hands, skin, and other fabric. Tight masks can leave remnants of the old outfit, while broad masks may alter nearby areas; adjusting the selection and simplifying the prompt can help.