Xiaomi Unveils HySparse2, the Core Architecture of MiMo-V3: Prefill Compute Cut to 1/5 for Long-Horizon Multi-Turn Agents
On September 24, 2026, Xiaomi's MiMo team unveiled HySparse2, the core architecture of the upcoming
Mems is an AI photo retouching and high-definition enhancement tool that is mainly used to naturally retouch portraits, repair old photos and improve photo clarity. It is suitable for individual users, photo organizers, social media creators and lightweight retouching users. It can retouch natural portraits, process old photos into clearer versions, and support details such as de-glare, smiles and flaws. Pay attention when using it. Portrait decoration must respect your consent. Documentary documents, certificates and medical-related photos should not be excessively modified. Free access is provided. Before formal adoption, it is recommended to test once with low-risk samples, and record the input materials, output results, and manual modifications. The amount and final adoption ratio are then decided whether to put them into a fixed process. At the same time, it is recommended to compare the trial results with existing processes to confirm whether the team can reuse them stably, rather than making long-term choices based on the one-time generation effect.
The value of Mems is that it breaks down tasks such as "naturally retouching portraits, restoring old photos, and improving photo clarity" into steps that are easier to start, inspect, and iterate. For individual users, photo organizers, social media creators, and lightweight retouching users, its role is not to replace all judgments, but to make it easier for repetitive sorting, first draft generation, information extraction or auxiliary analysis to enter a reviewable state.
These capabilities are suitable for naturally retouching portraits, restoring old photos and improving photo clarity. If the team already has a mature process, they can put Mems in the drafting, sorting, preview, or preliminary screening stages first, rather than directly undertaking final delivery. This allows you to see the stability of the tool in real tasks, and also retains necessary manual inspections.
Mems is suitable for individual users, photo organizers, social media creators and lightweight retouching users. Such users usually already know what materials they are going to process and what results they want, and can also determine whether the output needs to be modified. If you only try occasionally, you can start with a single task; if you want the team to use it for a long time, you should add permissions, source of materials, review responsibilities, and cost caps.
Portrait decoration must respect your consent. Documentary documents, certificates and medical-related photos should not be excessively modified. When selecting such tools, you should not just look at the results of the first demonstration, but also look at the stability and waiting time in multiple consecutive tasks. Time, modification cost and ease of traceability.
Three to five real but low-risk samples can be prepared, and input conditions, generated results, manual adjustment points, and final adoption can be recorded respectively. If Mems are stable on the main task, they are suitable for being put into a fixed process; if the results often need to be redone, they are more suitable as inspiration, first draft, or reference material.
What problems are Mems best suited to solve?
It is best for naturally retouching portraits, repairing old photos and improving photo clarity, especially for people who already have a clear goal but don't want to start sorting from a blank state.
Can Mems directly replace manual judgment?
Not recommended. It can handle repetitive generation, identification, sorting, or preliminary screening tasks, but fact checks, compliance judgments, professional conclusions, and final trade-offs still require humans to complete.
What should I prepare before using Mems?
It is recommended to prepare clear input materials, expected results and acceptance criteria. If customer data, real photos, commercial materials, medical financial information or study assignments are involved, authorization, privacy and use boundaries must also be confirmed in advance.
Fotor AI is a multi-functional creative platform that integrates AI image generation, intelligent retouching, and graphic design, and is suitable for a wide range of users, including content creators, designers, and marketers. Users can quickly generate high-quality images in a variety of styles, including illustrations, 3D renderings, cartoons, oil paintings, etc., by entering text or uploading images, to meet a variety of application scenarios such as social media content, brand visuals, and commercial promotion. The platform also provides practical tools such as AI avatar generation, image restoration, background removal, photo coloring, etc., to improve creative efficiency. Accessible on the web and mobile, Fotor is user-friendly and easy to use, making it easy for users to realize their creative ideas.
Stable Diffusion is an open-source text-to-image generation model developed by Stability AI that enables users to generate high-quality images through natural language prompts. The model uses diffusion generation technology, which can generate realistic images based on the input text description, and is widely used in art creation, product design, advertising and marketing, and other fields. Stable Diffusion supports on-premise and cloud-based access, and provides APIs for developers to integrate into custom applications. The latest version, Stable Diffusion 3.5, offers significant improvements in image quality and generation speed, making it suitable for professional scenarios that require high-resolution image generation.
Wizart is an AI product visualization and virtual trial platform for home furnishing brands, building materials e-commerce, and product display teams, using it to generate product rendering, virtual trials, and interactive configuration displays. It's for people who already have a clear task, footage, or business process to put photorealistic renders, AI try-ons, and configurators into a more performable workflow. When using it, it is necessary to focus on product restoration, material authorization and display authenticity, especially when it involves customer information, character materials, web page data, learning content or commercial publication, authorization and manual review should be confirmed first. Overall, Wizart is a good tool for generating product renderings, virtual trials, and interactive configuration displays, rather than a substitute for professional final judgment.
Wirestock is an AI-trained data creation task and creator monetization platform for photographers, video creators, and data annotation content teams to generate creative revenue by creating AI training data tasks. It's for those who already have clear tasks, assets, or business processes to fit AI training data, creator tasks, and asset submissions into a more actionable workflow. When using it, you need to focus on material authorization, task requirements, and platform review, especially when it involves customer information, character materials, web page data, learning content, or commercial publication, you should first confirm authorization and manual review. Overall, Wirestock is suitable as an auxiliary tool for generating creative income from creating AI training data tasks, rather than as a substitute for the final judgment of professionals.
WearView is an AI fashion e-commerce model image generator tool for clothing brands, e-commerce operations, and visual merchandisers, for generating AI model showcase images for clothing products. It's better for people who already have clear assets, scripts, customer communications, or business processes to combine product images, AI models, and e-commerce display graphics into a more actionable workflow. When using, you need to focus on product restoration, model authorization and display authenticity, especially when it comes to customer information, character voices, image materials, web page data or published content, you should first confirm authorization and manual review. Overall, WearView is suitable as an auxiliary tool for generating AI model display images of clothing products, rather than a complete replacement for the final judgment of editors, operations, R&D, or management.
Vooka is an AI fashion e-commerce virtual try-on tool designed for fashion brands, e-commerce operations, and product vision teams to generate virtual try-on displays for clothing e-commerce. It's better for people who already have clear assets, scripts, customer communications, or business processes that bring together virtual try-ons, product images, and e-commerce visuals into a one-of-a-kind workflow that's easier to execute. When using it, you need to focus on product restoration, character authorization and display authenticity, especially when it involves customer information, character voices, image materials, web page data or published content, you should first confirm authorization and manual review. Overall, Vooka is suitable as an auxiliary tool for generating virtual try-on displays for apparel e-commerce, rather than a complete replacement for the final judgment of editors, operations, R&D, or management.
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