# Image generation

SuperMaker is a comprehensive AI creation platform that mainly provides advanced AI video generators, integrating AI image generation, AI music creation, and AI voice synthesis functions, supporting complex project creation including AI movie generator style content.

The AI image prompt generator is a powerful tool that helps users generate and optimize image prompts for Flux, MidJourney, and Stable Diffusion models. Its main advantages include automatically generating detailed art prompts, providing professional-quality outputs, simplifying prompt engineering, etc.

PixNova AI is a feature-rich AI image generation and design tool that uses artificial intelligence technology to effortlessly generate stunning photos, edit images, and swap faces. Its main advantages include multiple AI functions, free use, continuous updates, user-friendly interface, and 100% privacy security.

Microsoft Copilot is an AI assistant application developed by Microsoft, based on OpenAI and Microsoft's AI technology, aiming to provide users with efficient and convenient intelligent assistant services. It helps users quickly access information, generate text and images, and improve work efficiency and creativity. The application supports multiple languages, has a simple and easy-to-use interface, and is suitable for different user groups. It is not only suitable for personal life but can also play an important role in business and education scenarios. It's a free productivity tool.

Flex.1-alpha is a powerful text-to-image generation model based on an 8 billion parameter corrected flow transformer architecture. It inherits features from FLUX.1-schnell and generates images without the need for CFG through trained guided embedders. The model supports fine-tuning and is open-source (Apache 2.0), making it suitable for use in various inference engines like Diffusers and ComfyUI. Its main advantages include efficient generation of high-quality images, flexible fine-tuning capabilities, and strong community support. The development background aims to address the compression and optimization issues of image generation models while continuously improving model performance through ongoing training.

fofr/flux-condensation is an AI model that generates images based on text, utilizing the Diffusers library and LoRAs technology. It is trained on Replicate and operates under the non-commercial flux-1-dev license. This model represents the latest advancements in text-to-image generation technology, providing powerful visual tools for designers, artists, and content creators.

Sana is a text-to-image generation framework developed by NVIDIA, designed to efficiently generate images with resolutions of up to 4096×4096 pixels. Notable for its rapid performance and strong text-image alignment capabilities, Sana can be deployed on laptop GPUs, marking a significant advancement in image generation technology. The model is based on a linear diffusion transformer and utilizes a pre-trained text encoder along with a spatially compressed latent feature encoder to generate and modify images based on text prompts. The open-source code for Sana is available on GitHub, with promising research and application prospects, particularly in areas like art creation, educational tools, and model research.

Interstice is an open-source Krita plugin designed specifically for professional painting applications, aimed at providing precise control and efficient workflows. It allows users to edit photos and artworks by selecting specific areas, ensuring seamless integration of the results. Additionally, Interstice.cloud is an online image generation service designed to make AI-assisted painting accessible to everyone instantly. Its background information indicates that it is a 100% free local hardware product that does not require a GPU, making it easy to download and use.

MV-Adapter is an adapter-based solution for multi-view image generation that enhances pre-trained text-to-image (T2I) models and their derivatives without altering the original network architecture or feature space. By updating fewer parameters, MV-Adapter achieves efficient training while retaining the embedded prior knowledge in the pre-trained models, thus reducing the risk of overfitting. This technology utilizes innovative designs, such as replicated self-attention layers and parallel attention architectures, allowing the adapter to inherit the powerful prior knowledge of pre-trained models for modeling new 3D knowledge. Moreover, MV-Adapter offers a unified conditional encoder that seamlessly integrates camera parameters and geometric information, supporting applications such as 3D generation based on text and images as well as texture mapping. MV-Adapter has demonstrated multi-view generation at a resolution of 768 on Stable Diffusion XL (SDXL), showcasing its adaptability and versatility for expansion into arbitrary view generation, unlocking broader application possibilities.

The Continuous Time Consistency Model (sCM) proposed by OpenAI is a generative model that achieves high-quality sample generation in just two sampling steps, offering a significant speed advantage over leading diffusion models. By simplifying theoretical formulas, sCM stabilizes and scales the training of large datasets, greatly reducing sampling time while maintaining sample quality, making real-time applications feasible.

Stable Diffusion 3.5 Large Turbo is a multi-modal diffusion transformer (MMDiT) model for text-to-image generation, employing Adversarial Diffusion Distillation (ADD) technology to enhance image quality, layout, understanding of complex prompts, and resource efficiency, with a particular focus on reducing inference steps. This model excels in image generation, capable of understanding and generating complex text prompts, making it suitable for various image generation scenarios. It is published on the Hugging Face platform under the Stability Community License, allowing for free use by researchers, non-commercial use, and organizations or individuals with annual revenue under $1 million.

ComfyGen is an adaptive workflow system focused on text-to-image generation that automates and tailors effective workflows by learning from user prompts. The emergence of this technology marks a shift from using a single model to incorporating multiple specialized components in complex workflows aimed at enhancing image generation quality. A key advantage of ComfyGen is its ability to automatically adjust workflows based on user text prompts, making it especially valuable for users who need to generate images in specific styles or themes.

AItoolMall is a platform that integrates a variety of AI tools, offering services including chatbots, image generators, AI models, and music generators. Users can choose the appropriate AI tools based on their needs. The platform supports multiple languages and most tools are offered free of charge, making it an excellent choice for businesses and individuals seeking quick access to AI services.

ColorJoyful is an online platform that utilizes artificial intelligence technology to create coloring pages. It employs advanced algorithms to transform user text descriptions into distinct coloring pages with clear line drawings, making it easy for users to color. This platform not only provides a space to unleash creativity and imagination, but is also particularly suitable for education, parent-child interaction, and personal entertainment. By offering a diverse range of coloring page themes, ColorJoyful meets the needs of various user groups, ensuring that children, adults, and educators can find suitable coloring pages on this platform.

OccFusion is an innovative human rendering technique that utilizes 3D Gaussian scattering and a pre-trained 2D diffusion model to efficiently and realistically render complete human figures even when partially occluded. This technology operates in a three-stage process: initialization, optimization, and refinement, significantly improving the accuracy and quality of human rendering in complex environments.

SDXL Flash is a text-to-image generation model developed by the SD community in collaboration with Project Fluently. It offers faster processing speeds than LCM, Turbo, Lightning, and Hyper while maintaining high image quality. Based on the Stable Diffusion XL technology, the model achieves high efficiency and quality in image generation through optimized steps and CFG (Guidance) parameters.

Stable Assistant, provided by Stability AI, is a chatbot that leverages cutting-edge text and image generation technology, powered by Stable Diffusion 3 and Stable LM 2 12B models. It excels at generating images from conversational prompts, providing knowledgeable responses, assisting with writing projects, and enhancing content with relevant imagery. Stable Assistant can produce various image styles, particularly leaning towards illustrative styles in certain specific use cases.

FaceChain is a deep learning toolkit supported by ModelScope, capable of generating your digital twin with at least one portrait photo and creating personal portraits in different settings (supporting multiple styles). Users can train digital twin models and generate images through FaceChain's Python scripts, the familiar Gradio interface, or sd webui. The main advantages of FaceChain include its ability to generate personalized portraits, support for multiple styles, and an easy-to-use interface.

Lupan is an intelligent design tool based on artificial intelligence technology. It can automatically generate product main images, diamond display images, store poster designs, and other marketing images based on product images and design templates. Utilizing computer vision and deep learning technology, Lupan can quickly understand image content and generate design works. Lupan greatly increases design efficiency, meeting the high-intensity demands for e-commerce marketing image creation while ensuring the quality of design works. Lupan also supports online collaboration, allowing enterprise customers to upload their own design templates for use by distributed teams in remote collaboration. This tool focuses on e-commerce, brand marketing, and other fields, providing a convenient and efficient 'Design as a Service' capability.

Syntos AI is a tool that transforms text into images, aiding in the understanding of abstract concepts. It utilizes advanced AI models to generate pictures. It can produce various image types, ranging from photographs to artwork. Users can customize the generated images' style, content, and colors. Syntos AI is suitable for professionals in design, photography, marketing, and other creative industries. It's also beneficial for social media and advertising. Being user-friendly, it doesn't require specialized technical knowledge. Users can tailor the generated images to their needs and seamlessly integrate Syntos AI into their existing workflows.

GenAI Courses is an online platform offering AI learning courses. Through these courses, users can master technologies such as GenAI, AI, machine learning, deep learning, chatGPT, DALLE, image generation, video generation, and text generation, as well as gain insights into the latest developments in the AI field for 2024.

ControlNet++ is a novel text-to-image diffusion model that significantly improves controllability under various conditioning by explicitly optimizing the pixel-level cyclic consistency between the generated image and the conditioning control. It utilizes a pre-trained discriminative reward model to extract the corresponding conditioning from the generated image and optimizes the consistency loss between the input conditioning control and the extracted conditioning. Furthermore, ControlNet++ introduces an efficient reward strategy by adding noise to the input image and then using a single-step denoised image for reward fine-tuning, avoiding the significant time and memory cost associated with image sampling.

MoMA Personalization is a personalized image generation tool based on an open-source Multimodal Large Language Model (MLLM). It focuses on theme-driven personalized image generation, capable of generating high-quality images that preserve the target object features based on reference images and text prompts. MoMA requires no fine-tuning and acts as a plugin model, directly applicable to existing diffusion models. It enhances the detail and prompt fidelity of generated images while maintaining the original model's performance.

InstantStyle is a general framework that utilizes two simple yet powerful techniques to effectively separate style and content from a reference image. Its principles involve isolating content from the image, injecting it only into the style block, and offering functionalities such as style synthesis and image generation. InstantStyle enables users to maintain style during text-to-image generation, providing a better overall experience.

This is a reference implementation of the ComfyUI IPAdapter model. IPAdapter is a powerful model for image-to-image conditional generation based on one or more reference images. Through text prompts, control networks, and masks, you can generate variations of enhanced images. It can be seen as a Lora for a single image. This implementation is memory-efficient, runs quickly, and will not be disrupted by Comfy updates. As an open-source project, developers are welcome to contribute to support project maintenance and new feature development.

The Stability AI Developer Platform offers a comprehensive set of API services including image generation, enhancement, inpainting, and editing, aimed at elevating the quality and efficiency of media creation.

Lummi offers high-quality stock photos and royalty-free images generated by AI, aiming to provide users with unique and diverse image resources. These images cover a wide range of categories, including animals, art, disability, flowers, landscapes, street photography, travel, and health.

NUWA is a suite of research projects developed by Microsoft, including NUWA, NUWA-Infinity, NUWA-LIP, Learning 3D Photography Videos, and NUWA-XL. These projects focus on pre-trained models for visual synthesis, capable of generating or manipulating visual data such as images and videos to perform various visual synthesis tasks.

sd-forge-layerdiffuse is a work in progress extension that generates transparent images and layers. It utilizes Latent Transparency technology. Currently, it supports image generation and basic layer functionality, but the conversion of transparent images to images is not yet complete. The code base is highly dynamic and there may be significant changes in the next month.

DistriFusion is an algorithm that requires no training and takes advantage of multiple GPUs to accelerate diffusion model inference without compromising image quality. DistriFusion can reduce delay based on the number of devices used while maintaining visual fidelity.