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Swap Anything - AI face, object and scene swapping with pixel-perfect precision on WaveSpeed
Available on WaveSpeed

Swap Anything — AI Face, Object & Scene Swapping

Modify any part of an image while preserving the original context. From realistic face swaps to instant product color changes, WaveSpeed's Swap Anything models utilize semantic segmentation to identify and replace specific elements with pixel-perfect precision.

Specialized Swap Models

Different targets require different algorithms. We host specialized models for faces, objects, and fashion.

InsightFace — Zero-Shot Face Swap

The industry standard for zero-shot face swapping. It maps facial features from a source image onto a target image with high fidelity, preserving expression and lighting. Best for memes, privacy protection, and character consistency in storytelling.

InsightFace — Zero-Shot Face Swap - The industry standard for zero-shot face swapping. It maps facial features from

SAM + Inpainting — Precise Object Swap

Combines the Segment Anything Model (SAM) with advanced inpainting (like FLUX Fill). SAM precisely isolates the object (e.g., a sofa), and the inpainting model generates the replacement based on your prompt. Best for interior design, product variations, and photo editing.

SAM + Inpainting — Precise Object Swap - Combines the Segment Anything Model (SAM) with advanced inpainting (like FLUX Fi

OOTDiffusion — Fashion & Garment Swap

Outfitting over Try-on Diffusion. Specialized in replacing garments on human models. It adjusts the clothing to fit distinct body shapes and poses naturally. Best for e-commerce, virtual fitting rooms, and fashion catalogs.

OOTDiffusion — Fashion & Garment Swap - Outfitting over Try-on Diffusion. Specialized in replacing garments on human mod

Swap Anything on WaveSpeed vs. Manual Editing

See why teams choose AI-powered swapping over manual editing.

Face swap quality
Obvious artifacts, uncanny valley
Seamless identity transfer with lighting match
Object replacement
Hours of manual Photoshop work
Seconds via API with SAM + inpainting
Fashion try-on
Physical photo shoots per variant
Virtual garment swap in real-time
Multi-element swap
One element at a time, tedious
Multi-masking in a single request
Resolution
Quality loss during editing
Up to 2048x2048, with upscale option
Cost
$50+/hr professional retouching
Pay per generation, cents per swap

Performance at a Glance

Swap faces, objects, and garments with production-grade infrastructure.

3+Specialized swap models
2048pxMax resolution supported
99.99%Uptime SLA
$0No upfront costs

Integrate in Minutes

Production-ready SDKs for Python and JavaScript. REST API with full OpenAPI spec. Webhook support for async jobs.

  • Face, object & fashion swap via one API
  • Multi-masking for batch element replacement
  • Python & JavaScript SDKs + REST API
import wavespeed
output = wavespeed.run(
"wavespeed-ai/swap-anything",
{
"source_image": "https://example.com/source.jpg",
"target_image": "https://example.com/target.jpg",
"swap_mode": "face",
}
)
print(output["outputs"][0])

Get Any Tool You Want

1000+ models across image, video, audio, and 3D — all through one API.

FAQ

It is a two-step process. First, an AI segmentation model (like SAM) identifies the specific pixels of the target object (face, shirt, or car). Second, a generative model fills that area with new content based on a reference image or text prompt, blending it seamlessly with the surroundings.

Face swapping technology is legal, but its application is subject to strict ethical guidelines. WaveSpeed prohibits the creation of non-consensual deepfakes, explicit content, or misleading political material. Please review our Content Policy for details.

Yes. Our API supports multi-masking, allowing you to identify and swap multiple distinct elements (e.g., change the shirt and the shoes) in a single request.

Yes. We offer video-compatible models like Roop or ReActor for face swapping, and tracking-based inpainting for object swapping in video clips.

Our standard models support up to 2048x2048 resolution. For higher quality (4K), we recommend enabling the "Upscale" parameter in the API request after the swap is performed.

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