Image Editing

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.

MIGE can generate images from text prompts and reference images and edit existing images based on instructions.

InstantSwap can swap concepts in images from a reference image while keeping the foreground and background consistent. It uses automated bounding box extraction and cross-attention to make the process more efficient by reducing unnecessary calculations.

MaterialFusion can transfer materials onto objects in images while letting users control how much material is applied.

ControlFace can edit face images with precise control over pose, expression, and lighting. It uses a dual-branch U-Net architecture and is trained on facial videos to ensure high-quality results while keeping the person’s identity intact.

Stable Flow can edit images by adding, removing, or changing objects.

FramePainter can edit images using simple sketches and video diffusion methods. It allows for realistic changes, like altering reflections or transforming objects, while needing less training data and performing well in different situations.

One-Prompt-One-Story can generate consistent images from a single text prompt by combining all prompts into one input for text-to-image models.

Chat2SVG can generate and edit SVG vector graphics from text prompts. It combines Large Language Models and image diffusion models to create detailed SVG templates and allows users to refine them with simple language instructions.

FitDiT can generate realistic virtual try-on images that show how clothes fit on different body types. It keeps garment textures clear and works quickly, taking only 4.57 seconds for a single image.

Leffa can generate person images based on reference images, allowing for precise control over appearance and pose.

FireFlow is FLUX-dev editing method that can perform fast image inversion and semantic editing with just 8 diffusion steps.

Factor Graph Diffusion can generate high-quality images with better prompt adherence. The method allows for controllable image creation using tools like segmentation and depth maps.

FlowEdit can edit images using only text prompts with Flux and Stable Diffusion 3.

You ever tried to inpaint smaller objects and details into an image? Can be kind of a hit or miss. SOEDiff has been specifically trained to handle these cases and can do a pretty good job at it.

DreamMix is a inpainting method based on the Fooocus model that can add objects from reference images and change their features using text.

SGEdit can add, remove, replace, and adjust objects in images while keeping the quality of the image consistent.

MagicQuill enables efficient image editing with a simple interface that lets users easily insert elements and change colors. It uses a large language model to understand editing intentions in real time, improving the quality of the results.