What is DeepSite V2？
DeepSite V2 is an AI-powered web generation tool built on the DeepSeek R1-0528 model, often referred to as a “web-based Cursor.” It enables users to quickly generate, preview, and iterate website pages using simple text prompts—all without installing or configuring any local environment. Major upgrades include a redesigned interactive interface, inference-based site generation, fine-grained editing, and Diff Patching technology, enabling a “chat-and-edit” development experience. Users can input instructions like “Create a website for a bubble tea company” or “Make the button cooler,” and DeepSite V2 will intelligently generate or modify the webpage code, updating the preview in real time. It supports multilingual prompts, multiple inference engines, and can complete web page generation within seconds.
Key Features of DeepSite V2
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Natural Language to Code Generation: Users can generate complex webpage code using simple prompts in Chinese or English. DeepSite V2 can produce code with full 3D animation effects within seconds.
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Real-Time Preview and Adjustment: As the code is generated, a live preview window is displayed, allowing users to instantly view and refine the results with follow-up descriptions.
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Multimodal Support: Capable of generating webpages, mini-games (e.g., Snake), effects (e.g., fireworks), and interactive 3D content—covering use cases from simple blogs to intricate animations.
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Zero Environment Dependency: Fully browser-based operation, requiring no software installation—lowering the entry barrier for users.
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Fine-Grained Editing: Enables precise modifications of web elements via instructions, such as “Make the button more flashy,” with intelligent styling updates.
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Multilingual Prompt Support: Accepts commands in both Chinese and English, accurately interpreting and executing user requirements.
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Model and Engine Switching: Users can select the latest DeepSeek R1‑0528 model or switch to other inference engines such as Fireworks AI, Neurius AI Studio, or Together AI.
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New Interactive Interface: Prompts are entered on the left panel, and real-time code preview is displayed on the right—what you see is what you get.
Technical Foundations of DeepSite V2
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Deep Learning Model: Powered by the latest DeepSeek R1-0528 model, which excels in natural language processing (NLP) and code generation through reinforcement learning and algorithmic optimization. It converts natural language prompts into HTML, CSS, and JavaScript code.
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Inference-Based Web Building: The model employs a “think-before-write” mechanism, automatically determining whether specific libraries (e.g., TailwindCSS or Font Awesome) are needed, and generating code accordingly.
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Incremental Editing with Diff Patching: Uses diff patching technology to update only the necessary parts of the code rather than rewriting the entire page. This preserves existing content and supports rapid iteration.
DeepSite V2 Project Links
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Hugging Face Project Page: https://deepsite.hf.co/projects/new
Application Scenarios for DeepSite V2
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Rapid Prototyping: Designers and entrepreneurs can quickly generate web prototypes via text prompts to validate product ideas.
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Education and Learning: Students can use DeepSite V2 to learn frontend development logic, making coding more approachable.
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Creative Project Showcases: Artists and creators can build personalized websites or interactive content to display their work.
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Small Business Websites: Business owners can swiftly generate websites featuring product information and interactive elements to enhance their online brand presence.
