Image AI Tools

Artist stylizes images based on text prompts, preserving the original content while producing high aesthetic quality results. No finetuning, no ControlNets, it just works with your pretrained StableDiffusion model.

Cinemo can generate consistent and controllable image animations from static images. It achieves enhanced temporal consistency and smoothness through strategies like learning motion residuals and employing noise refinement techniques, allowing for precise user control over motion intensity.

MasterWeaver can generate photo-realistic images from a single reference image while keeping the person’s identity and allowing for easy edits. It uses an encoder to capture identity features and a unique editing direction loss to improve text control, enabling changes to clothing, accessories, and facial features.

IMAGDressing-v1 can generate human try-on images from input garments. It is able to control different scenes through text and can be combined with IP-Adapter and ControlNet pose to enhance the diversity and controllability of generated images.

AccDiffusion can generate high-resolution images with fewer object repetition! Something Stable Diffusion has been plagued by since its infancy.

ColorPeel can generate objects in images with specific colors and shapes.

HumanRefiner can improve human hand and limb quality in images! The method is able to detect and correct issues related to both abnormal human poses.

Minutes to Seconds can efficiently fill in missing parts of images using a Denoising Diffusion Probabilistic Model (DDPM) that is about 60 times faster than other methods. It uses a Light-Weight Diffusion Model and smart sampling techniques to keep the image quality high.

PartCraft can generate customized and photorealistic virtual creatures by mixing visual parts from existing images. This tool allows users to create unique hybrids and make detailed changes, which is useful for digital asset creation and studying biodiversity.

PartGLEE can locate and identify objects and their parts in images. The method uses a unified framework that enables detection, segmentation, and grounding at any granularity.

MIGC++ is a plug-and-play controller that enables Stable Diffusion with precise position control while ensuring the correctness of various attributes like color, shape, material, texture, and style. It can also control the number of instances and improve interaction between instances.

StyleShot can mimic and style transfer various styles from an image, such as 3D, flat, abstract or even fine-grained styles, without tuning.

AnyControl is a new text-to-image guidance method that can generate images from diverse control signals, such as color, shape, texture, and layout.

MIRReS can reconstruct and optimize the explicit geometry, material, and lighting of objects from multi-view images. The resulting 3D models can be edited and relit in modern graphics engines or CAD software.

iCD can be used for zero-shot text-guided image editing with diffusion models. The method is able to encode real images into their latent space in only 3-4 inference steps and can then be used to edit the image with a text prompt.

Make It Count can generate images with the exact number of objects specified in the prompt while keeping a natural layout. It uses the diffusion model to accurately count and separate objects during the image creation process.

Glyph-ByT5-v2 is a new SDXL model that can generate high-quality visual layouts with text in 10 different languages.

HairFastGAN can transfer hairstyles from one image to another in near real-time. It handles different poses and colors well, achieving high quality in under a second on an Nvidia V100.

DMD2 is a new improved distillation method that can turn diffusion models into efficient one-step image generators.

EditWorld can simulate world dynamics and edit images based on instructions that are grounded in various world scenarios. The method is able to add, replace, delete, and move objects in images, as well as change their attributes and perform other operations.