Image Editing

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.

Face Anon can anonymize faces in images while keeping original facial expressions and head positions. It uses diffusion models to achieve high-quality image results and can also perform face swapping tasks.

ControlAR adds controls like edges, depths, and segmentation masks to autoregressive models like LlamaGen.

State of the art diffusion models are trained on square images. FiT is a new transformer architecture specifically designed for generating images with unrestricted resolutions and aspect ratios (similar to what Sora does). This enables a flexible training strategy that effortlessly adapts to diverse aspect ratios during both training and inference phases, thus promoting resolution generalization and eliminating biases induced by image cropping.

Stable-Hair can robustly transfer a diverse range of real-world hairstyles onto user-provided faces for virtual hair try-on. It employs a two-stage pipeline that includes a Bald Converter for hair removal and specialized modules for high-fidelity hairstyle transfer.