Image Editing

Add-it can add objects to images based on text prompts without extra training. It uses a smart attention system for natural placement and consistency, achieving top results in image insertion tasks.

ObjectClear can remove objects from images while also getting rid of shadows and reflections. It uses an object-effect attention mechanism to improve how well it removes foregrounds and keeps backgrounds, making it much better than other methods, especially in complex scenes.

ReFlex can change the high-level features of an image based on a text prompt while keeping its main structure.

Calligrapher can customize text images with artistic typography and a style injection framework.

SMS is a method for image stylization with diffusion models. Balancing effective style transfer with content preservation is a long-standing challenge.

XVerse can create high-quality images with multiple subjects that can be edited. It allows precise control over each subject’s pose, style, and lighting, while also reducing issues like attribute entanglement and artifacts.

SwiftEdit can edit images quickly using text prompts in just 0.23 seconds.

MARBLE can blend and change the material properties of objects in images using material embeddings in CLIP-space. It allows control over attributes like roughness, metallic, transparency, and glow, enabling multiple edits at once and supporting various artistic styles.

BAGEL is a unified multimodal model that can understand and generate images and text, excelling in tasks like image editing and predicting future frames. Basically the open-source version of GPT-4o.

Marigold can estimate depth, predict surface normals, and decompose images with minimal changes.

Step1X-Edit can perform advanced image editing tasks by processing reference images and user instructions.

PosterMaker can generate high-quality product posters by rendering text accurately and keeping the main subject clear.

Piece it Together can combine different visual components into complete characters or objects. It uses a lightweight flow-matching model called IP-Prior to improve prompt adherence and enable diverse, context-aware generations.

SISO can generate and edit images using just one subject image without any training. It improves image quality, keeps the subject clear, and preserves the background better than other methods.

InfiniteYou can generate high-quality images with FLUX and retain a person’s identity.

Diptych Prompting can generate images of new subjects in specific contexts by treating text-to-image generation as an inpainting task.

MagicColor can automatically colorize multi-instance sketches while keeping colors consistent across objects using reference images.

ImageRAG can find relevant images based on a text prompt to improve image generation. It helps create rare and detailed concepts without needing special training, making it useful for different image models.

KV-Edit can edit images while keeping the background consistent. It allows users to add, remove, or change objects without needing extra training, ensuring high image quality.

Any2AnyTryon can generate high-quality virtual try-on results by transferring clothes onto images as well as reconstructing garments from real-world images.