eachlabs-image-edit

AI image editing and upscaling uses machine learning models to transform existing images via background removal, style transfer, and inpainting. This Skill accesses 130+ AI models through the EachLabs Predictions API using image URLs as inputs.

You can automate image editing tasks like background removal, upscaling, inpainting, style transfer, face swap, virtual try-on, and 3D generation. These 130+ AI models process image URLs to enhance and transform existing visuals for media workflows.

Yes, you need an API key to run AI image editing models. You must provide it either via the X-API-Key header or by setting the EACHLABS_API_KEY environment variable before executing image-edit tasks through the EachLabs API.

Yes, image URLs are the required inputs for AI background removal and style transfer. You select a specific AI model from the 130+ available options and provide image URLs as specified in the references to execute the transformation.

AI inpainting works for creative media projects by allowing you to edit, transform, and enhance existing images. You can use it alongside face swap, virtual try-on, and 3D generation to augment visuals across various media workflows.

The best way to apply face swap or virtual try-on is using AI models via the EachLabs Predictions API. Upload your image, select the specific model from the 130+ available, provide the image URL, and execute the image-edit task.