What does the Logo Fix API do?

The Logo Fix API places a brand logo onto a target image. You send the garment photo, your logo file, and a prompt describing the placement, plus an optional mask marking exactly where the logo goes. The API blends the logo into the garment, matching fabric texture, surface curvature, lighting, and color tone. Built for brand teams and ecommerce ops at apparel brands.

How is this different from a generic inpainting model?

A generic inpainting model invents a logo from a text prompt and rarely reproduces your brand mark correctly. Logo Fix uses your actual logo file, so the output mark is exactly your logo. The model handles only the blending: fitting the logo to fabric curvature, lighting, and color.

Does it handle logos that wrap around fabric curves?

Yes. The pipeline accounts for chest curvature, sleeve placement, and fabric drape so the placed logo conforms to the garment's surface instead of sitting on top of it like a sticker.

What logo files can I use?

Provide your logo as an image file. PNG with transparency gives the cleanest result, since the transparent areas composite without a visible box. The logo does not need to match the target's lighting or scale; the API adapts both.

How do I control where the logo goes?

Every request takes a prompt describing where and how the logo should sit. For precise control, also send a black-and-white mask: white marks the placement zone, black keeps the original. The mask is optional, but we strongly recommend it, placement is noticeably more accurate with one. Without a mask, the workflow picks a placement from the prompt.

How much does the Logo Fix API cost?

$0.20 per image with simple fixed per-call pricing. No GPU costs, no infrastructure to maintain. Sign up for free to try it out. Contact us for volume pricing on catalog-scale workloads.

How do I get started with the Logo Fix API?

Sign up for a Runflow account to get an API key, plus free signup credits. POST a target image and your logo file to the endpoint, and one call returns the finished image.

What image formats are supported?

JPEG, PNG, and WebP. Output format depends on the solution.

Typical response times are under 5 seconds for standard resolution images.

How does pricing work?

Simple fixed per-call pricing. No GPU costs, no infrastructure to maintain.

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Brand-accurate logos on every garment image

Logo Fix API

Place your brand logo onto any garment image with one API call. Send the target photo and your logo, and the API blends it into the fabric, matching texture, surface curvature, lighting, and color.

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Input

image_url *

Your request will cost $0.20

Output

Example output

$0.20

Per image, fixed pricing

PNG logo

Transparency preferred

Optional mask

Recommended for accuracy

Curve-aware

Matches drape and lighting

How it works

No pipeline to build, no models to configure.

Send the target image, logo, and prompt

POST the garment photo, your logo file (PNG with transparency preferred), and a prompt describing the placement. Add a black-and-white mask to pin the exact zone. The mask is optional, but strongly recommended for the most accurate result.

AI places the logo

The API blends your logo into the placement zone, matching fabric texture, surface curvature, lighting, and color tone so it reads as printed or embroidered.

Get a brand-accurate output

Receive the finished image, ready for catalog, marketplace, or campaign delivery.

Your exact logo, composited in

A generic inpainting model invents a logo from a text prompt and rarely reproduces your brand mark correctly. The Logo Fix API takes your real logo file and places it onto the garment, so the output mark is your logo with kerning and color intact. The model handles only the blending.

Output mark is rendered straight from your uploaded file

Brand color and geometry stay exact

PNG with transparency gives the cleanest edges

Adapts to fabric drape and curves

Logos that sit on chest curves, sleeves, or wrapped fabric are the failure case for flat compositing. The pipeline accounts for surface curvature, lighting, and perspective so the placed logo conforms to the garment and reads as printed or embroidered.

Chest, sleeve, and back placements all supported

Curve-aware projection onto the fabric surface

Lighting and color tone matched to the target image

Built for catalog and pipeline workflows

Run it on every garment image that needs a brand mark, from AI-generated catalog shots to blank product mockups. One endpoint with async webhook delivery drops straight into a generation or QA pipeline.

Batch-friendly for full catalog passes

Async webhook delivery via callback_url

Drop-in step in any fashion imagery pipeline

Logo Fix for every brand-sensitive workflow

Whenever a brand mark belongs on the garment, the logo has to be exact. This is the layer that gets you there.

DTC fashion brands

Place your brand logo onto AI-generated catalog images before publish, so every storefront shot carries the mark correctly. Built for vertically integrated DTC brands with a strong brand identity.

Brand-licensed apparel

Licensed product (sports, music, entertainment) lives or dies on logo accuracy. Apply the exact licensed mark as a step in your AI imagery pipeline.

Fashion marketplaces

Apply consistent, correct brand logos onto seller-generated AI imagery so listings stay on-brand without hand retouching.

AI fashion image platforms

Add Logo Fix as the branding layer in your generation pipeline. Ship logo-accurate output to your users without retraining your base model.

“

Working with Runflow changed how we build. Our developers can integrate a new AI feature by calling an endpoint, they don’t need machine learning expertise, infrastructure knowledge, or DevOps skills. We just focus on making the best product, and Runflow handles everything underneath.

Thibaut Hennau

CEO, BetterPic

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Frequently asked questions

Brand-accurate logos on every garment image.

$0.20/image. Send a target photo and your logo, and the API blends it into the fabric, matching texture, curvature, and lighting. Start free on signup.

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