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More Lighting! IC-Light is used to manipulate the illumination of images using a text-conditioned model.

hair-fast-gan applies the hairstyle and hair color to the input image.

Restores blurry, low-resolution photos: CodeFormer rebuilds the face nearest the center, and Real-ESRGAN doubles the whole frame before it is scaled to the upscale factor you set, up to 10.

Puts one or two faces into a scene it generates from your prompt, or into a photo you upload. In a two-person photo it can replace just the left or the right person.

Reads Turkish license plates in a photo and returns them as text, along with a copy of the image where each car is numbered and each plate is boxed.

Edits an existing image from a written instruction such as "add a beautiful sunset", with no mask to draw. Fine-tuned from Stable Diffusion 1.5 by Tim Brooks, Aleksander Holynski and Alexei A. Efros.

PixArt-Σ consists of pure transformer blocks for latent diffusion: It can directly generate 1024px, 2K and 4K images from text prompts within a single sampling process.

Detects the faces in a photo and covers each one with a blurred oval, leaving the rest of the image untouched. One image in, one PNG out at the original size.

This is an FLUX1.0 image to image tool.

Inpainting and outpainting model from Black Forest Labs. Upload a photo and a mask, describe what belongs in the masked area, and only that area is repainted to fit the rest of the image.

Cuts the main subject out of a photo and returns it on a transparent background at the original size. BiRefNet is a high-resolution segmentation model that uses gradient maps to keep fine edges.

Real-ESRGAN upscales real-world photos 2x or 4x and cleans up blur, noise and JPEG blocking without being told how the image was damaged. Faces can be restored with GFPGAN in the same run.