Image Editing
Free image editing AI tools for quickly enhancing photos, creating visuals, and manipulating images for projects in art, marketing, and design.
Entity-Level Text-Guided Image Manipulation can edit specific parts of an image based on text descriptions while keeping other areas unchanged. It uses a two-step process for aligning meanings and making changes, allowing for flexible and precise editing.
[Tool Name] can [main function/capability]. It [key detail 1] and [key detail 2].
Neural Congealing can align similar content across multiple images using a self-supervised method. It uses pre-trained DINO-ViT features to create a shared semantic map, allowing for effective alignment even with different appearances and backgrounds.
Pix2Pix-Zero can edit images by changing them in real-time, like turning a cat into a dog, without needing extra text prompts or training. It keeps the original image’s structure and uses pre-trained text-to-image diffusion models for better editing results.
InstructPix2Pix can edit images based on written instructions. It allows users to add or remove objects, change colors, and transform styles quickly, using a conditional diffusion model trained on a large dataset.
UnZipLoRA can break down an image into its subject and style. This makes it possible to create variations and apply styles to new subjects.
SDEdit can generate and edit photo-realistic images using user-guided inputs like hand-drawn strokes or text prompts. It outperforms GAN-based methods, achieving high scores in realism and overall satisfaction without needing specific training.