AI Image Editing Models

Product advertising photo generator. You upload a cut-out product shot and a prompt describing the scene; it places the product on a new generated background with matching lighting and shadows, so a plain packshot becomes an ecommerce or ad-ready hero image without a photo studio.

Open-weight edge-guided FLUX model from Black Forest Labs. Extracts Canny edges from a control image and regenerates it from your prompt while holding the original composition and outlines, so you can restyle a scene without changing its structure.

Open-weight depth-guided FLUX model from Black Forest Labs. Derives a depth map from the control image and regenerates from your prompt while preserving 3D spatial layout, useful for re-texturing rooms, products, or scenes without moving objects.

Black Forest Labs' inpainting/outpainting model for FLUX. Fill masked regions with prompt-guided content.

Black Forest Labs' open-weight inpainting and outpainting model, guidance-distilled from FLUX.1 Fill [pro]. You supply an image plus a mask and a prompt; it fills the masked region or extends the canvas with prompt-guided content that matches lighting and texture.

Open-weight version of FLUX.1 Kontext by Black Forest Labs. Instruction-based editing: pass an input image and a plain text edit ('change the jacket to red', 'remove the person on the left') and it applies the change while keeping the rest of the scene and identity consistent.

FLUX.1-dev inpainting wrapper that fills masked parts of an image from a prompt. Useful when you want FLUX-quality fills with a simple image plus mask plus prompt interface and adjustable mask strength.

Lvmin Zhang's IC-Light packaged by zsxkib. Relights a product or portrait from a text prompt or a chosen light direction while keeping the subject's shape and detail intact, so a flat product photo can be given studio, window, or dramatic side lighting without re-shooting.

Alibaba Qwen's instruction-driven image editor. Extends Qwen-Image's text-rendering ability to editing, so it handles both semantic edits (swap objects, change style) and precise text edits inside the image while preserving the original layout and unedited regions.

Object removal and cleanup using LaMa inpainting. Paint a mask over an unwanted object, logo or person and the model fills the area with plausible background, erasing it from the photo.

SDXL inpainting built on the Hugging Face Diffusers inpaint pipeline. Replace or remove masked regions of an image with prompt-conditioned content at SDXL resolution. A cheap, well-understood baseline for object removal and local edits.