ByteDance has quietly launched an image generation tool called InfiniteYou (InfU). Simply put, it's a text-to-image generation model capable of producing high-quality images incorporating your personal identity features based on your text input. Unlike simple face-swap apps, it excels at precisely preserving your identity while flexibly changing scenes and content. Imagine easily generating images of yourself walking on the moon in a spacesuit, or dressed in ancient Chinese garb...

Today, the Doubao Large Model team officially released a technical report on its text-to-image technology, publicly disclosing for the first time the technical details of the Seedream2.0 image generation model. This encompasses the entire process, from data construction and pre-training framework to post-training RLHF, marking a significant breakthrough in the text-to-image field. Since its launch on the Doubao app and Jimeng in early December 2024, Seedream2.0 has served over 100 million C-end users and has become a favorite among professional designers. Compared to mainstream models like Ideogram2.0 and Midjourney V6.1, it...

Zhihu AI has officially released CogView4, its latest open-source text-to-image model. Boasting 600 million parameters, CogView4 notably supports both Chinese and English prompts and text-to-image generation, making it the first open-source model capable of generating Chinese characters within images. Its key feature is its support for bilingual prompts, excelling at understanding and following complex Chinese instructions, a boon for Chinese content creators. As the first open-source text-to-image model to generate Chinese characters in images, it fills a significant gap in the open-source landscape.

Zhipu has released CogView4, a groundbreaking open-source image generation model that excels at understanding and responding to Chinese prompts. Users can now generate images using Chinese characters and phrases, marking a significant advancement in multilingual AI image generation.

Beijing Zhipu AI announced the release of CogView4, the first open-source text-to-image model capable of generating Chinese characters. The model achieved the highest overall score on the DPG-Bench benchmark, making it the State-of-the-Art (SOTA) in open-source text-to-image models. Furthermore, it's the first image generation model to be released under the Apache 2.0 license.

Canadian AI image generation company Ideogram announced today the official launch of its new image model, Ideogram 2a, now available on the Ideogram website, API, and partner platforms. This launch quickly sparked discussions on X, considered a significant upgrade in the AI text-to-image field. Ideogram 2a attracts global creators and developers with its faster generation speed, lower cost, and improved graphic design and photography capabilities.

In the field of artificial intelligence, ByteDance's commercial technology team presents the latest achievement, the Infinity model, which has become a new leader in the auto-regressive text-to-image generation domain with its outstanding performance and innovative technology. This newly open-sourced model not only surpasses Stable Diffusion 3 in image generation quality but also demonstrates significant advantages in inference speed. The core innovation of the Infinity model lies in its use of a Bitwise Token auto-regressive framework, which predicts the next level of resolution by +1 or -1.

The Intelligent AI Assistant Doubao, developed by ByteDance, has recently upgraded its text-to-image capabilities. The new feature allows users to generate images containing specified text with a single click. The relevant person in charge of the Doubao large model team pointed out that the text-to-image model of Doubao integrates LLM (Large Language Model) and DIT (Digital Image Technology) framework, optimizing its learning ability for Chinese data, and enhancing the generation capability of Chinese characters, significantly improving the generation results.

The rapid development of generative AI has raised the challenge of comprehensively evaluating its performance. A plethora of models have emerged, each showcasing increasingly impressive results. However, the pressing question remains: how do we assess the effectiveness of these text-to-image models? Traditional evaluation methods often rely on subjective visual assessments or simple metrics like CLIPScore, which frequently fail to capture the intricate details found in complex text prompts, such as relationships between objects and logical reasoning. This leads to inaccurate evaluation outcomes for many text-to-image models.

Recent research from Alibaba's Tongyi Laboratory indicates that existing text-to-image Diffusion Transformer models already possess the ability to generate multiple images with specific relational contexts. With just a little 'guidance', they can achieve a synthesis of understanding and produce high-quality multi-image collections. Traditional Diffusion models are more like 'rote learning' students, requiring massive datasets to generate high-quality images. However, with the support of IC-LoRA, they become 'high-achieving students', capable of learning through analogy.

Last night, Stability AI unveiled its most powerful model - Stable Diffusion 3.5, which is not just a single model, but a package containing three versions, designed to meet the diverse needs of researchers, business enthusiasts, startups, and enterprises. The three versions are Stable Diffusion 3.5 Large, Stable Diffusion 3.5 Large Turbo, and one that will be available on October 29.

The Zhipu technology team announced an exciting piece of news today: their latest text-to-image model CogView3 and its upgraded version CogView3-Plus-3B have officially been open-sourced and successfully launched on the 'Zhipu Qingyan' App. The debut of these two models marks a new phase in AI-assisted artistic creation. CogView3 is a cascade diffusion-based text-to-image model, and its generation process is exquisite. The model first generates a low-resolution image of 512x512 pixels, and then...

Recently, Zhichu AI has open-sourced its latest creation—CogView3 and its upgraded version CogView-3Plus-3B, injecting new vitality into the field of text-to-image generation. The debut of CogView3 is undoubtedly a significant milestone. As the first model to achieve relay diffusion in the text-to-image generation domain, it employs a unique cascade diffusion method. This innovative approach first generates low-resolution images and then completes the final output through relay-based super-resolution technology. This not only greatly enhances...

Baidu Input Method announces a comprehensive upgrade of its all-scenario AI writing assistant 'Super Writing', integrating a variety of functions such as AI writing, AI chatting, and AI intelligent Q&A, enhancing its comprehensive strength as an AI input method product. In addition, Baidu Input Method has also launched new multimodal creation features like 'Text-to-Image', further improving users' content creation experience in different scenarios.

Stability AI collaborates with Amazon Web Services (AWS) to introduce three new text-to-image generation models to the Amazon Bedrock service, aiming to enhance business positioning and market competitiveness. These three models—Stable Image Ultra, Stable Diffusion3Large, and Stable Image Core—cater to different needs, offering everything from high-quality image generation to fast bulk image production.

On August 21, 2024, the Ideogram team proudly announced the launch of its latest version of the text-to-image model—Ideogram 2.0. This significant update not only provides users with free access but also introduces a series of innovative features and tools, marking a major leap in text-to-image technology.

Google's text-to-image model Imagen3's 'ImageFX' feature is now officially available to all users, offering an enhanced prompt interaction experience. Users only need to input descriptive text, and the system can generate corresponding images while optimizing the prompts, providing various options to improve the generation results. Furthermore, Imagen3 also includes a localized modification feature, allowing users to use brush tools to edit specific parts of the image and fill in related descriptive terms, with the system automatically generating the modified image, greatly improving the flexibility and convenience of image generation.