EACHLABS

face-swap-new — Image-to-Image AI Model

face-swap-new from Eachlabs revolutionizes face swapping by seamlessly exchanging faces in photos or videos while preserving expressions, lighting, and realism for professional-grade results. Developed by Eachlabs as part of the eachlabs family, this image-to-image AI model excels in delivering high-quality swaps that maintain natural skin tones, poses, and environmental consistency, solving the common issues of artifacts and unnatural blending found in lesser tools. Ideal for creators seeking a reliable face swap AI solution, face-swap-new supports both static images and dynamic video inputs, enabling quick edits for content like personalized avatars or marketing visuals.

What Sets face-swap-new Apart

face-swap-new stands out in the crowded image-to-image AI landscape with its automatic preservation of facial expressions and lighting during swaps, a capability honed for photorealistic outputs that rival specialized editing software. This enables users to produce seamless composites without manual post-processing, saving hours in workflows for e-commerce photos or social media content. Unlike generic editors, it handles multi-reference inputs for precise identity transfer, ensuring consistency across diverse poses and angles.

• Realism in expressions and lighting: Automatically matches source face dynamics to target media, delivering outputs indistinguishable from originals in professional benchmarks. This empowers marketers to create authentic promotional videos without reshoots.
• Video support with temporal stability: Processes short clips up to HD resolutions, maintaining smooth face transitions frame-by-frame for dynamic content like reels. Developers benefit from fast inference, averaging under 60 seconds per swap on standard hardware.
• Low VRAM efficiency: Optimized for 6-24GB setups, supporting 1024x1024 and higher resolutions without heavy compute demands. This makes it accessible for mid-range GPUs in AI image editor API integrations.

Technical specs include input formats like JPEG/PNG images or MP4 videos (max 50MB), output in high-res PNG/MP4, and processing times of 10-60 seconds depending on complexity and resolution.

Ensure the input images are of high resolution and well-lit for better results.

Validate the format  input images before running the model.

Check that the faces in the input images are clearly visible and unobstructed.

Perform basic preprocessing, such as cropping or resizing images if necessary.

How to Use face-swap-new on Eachlabs

Access face-swap-new exclusively through Eachlabs Playground for instant testing—upload a source face image or URL (max 50MB), select target photo/video, and generate swaps in seconds with outputs in PNG/MP4 at up to 1024x1024 resolution. Integrate via Eachlabs API or SDK with simple parameters like source_face_url, target_media, and optional strength settings for fine control, delivering high-quality, realistic results optimized for production pipelines.

Advanced face detection and alignment for realistic swaps.

Handles various face angles, lighting conditions, and skin tones.

Preserves image quality during the face-swapping process.

Optimized for single-face manipulations in high-resolution images.

Use Cases for face-swap-new

Content creators crafting personalized videos can upload a source face image and target clip, using face-swap-new to replace actors seamlessly—perfect for "swap my face onto this dancing celebrity in a beach setting" prompts that yield realistic, expression-matched results without green screens.

Marketers building AI photo editing for e-commerce workflows feed product photos with model faces, swapping to diverse representations while preserving lighting for inclusive catalogs, streamlining shoots and boosting conversion rates.

Developers integrating face-swap-new API into apps for virtual try-ons provide user selfies and clothing images, generating customized visuals with pose-consistent swaps that enhance user engagement in fashion or AR tools.

Designers handling automated image editing API tasks use it for historical reenactments, swapping modern faces onto archival photos with depth-aware blending, ideal for educational content or film pre-vis.

Historical Reimaginings: Swap modern faces onto historical portraits for educational or entertainment purposes.

Character Mashups: Combine faces of different fictional characters to create unique hybrids.

Personalized Greetings: Create customized greeting cards featuring face swaps of friends or family members.

Maximum file size for each image is limited to 10 MB.

The quality of the output depends on the clarity and lighting of the input images.

The model is optimized for single-face swapping and may not work accurately on images with multiple faces.
Output Format: JPG