DeepSeek Generator is an AI tool that allows you to generate images, code, and content. It uses advanced models for each function: the Janus Pro-7B model for image generation, a 238 billion-parameter model for code generation, and language models with 6.7 billion parameters for content creation. It includes features like open-source development, enterprise-grade performance, and state-of-the-art technology.
Features
Advanced Image Generation
Transform your ideas into stunning visuals with the DeepSeek-powered image generator utilizing the Janus Pro-7B model.
Intelligent Code Generation
Generate efficient, clean code across multiple programming languages with the 238 billion-parameter DeepSeek Coder model.
Content Creation
Create engaging content with sophisticated language models featuring 671 billion parameters.
State-of-the-Art Technology
Leverage DeepSeek's latest AI models with mixture of experts architecture for superior generation quality.
Open Source Foundation
Built on DeepSeek's commitment to open-source development, ensuring transparency and continuous improvement.
Enterprise-Grade Performance
Experience professional-level generation capabilities backed by DeepSeek’s advanced AI infrastructure.
Multimodal Understanding
Allows users to input images and ask questions about them. The feature analyzes the image to provide explanatory or descriptive responses.
Text-to-Image Generation
Generates images based on the text input from the user, creating visual representations of described scenes or objects.
DeepSeek-33B-Code Model
Utilizes a 33 billion parameter code model, specifically designed for chat-based code generation. This model helps in constructing code with natural language instructions.
Chat-based Code Generation
Facilitates code generation through a chat interface. Users can input queries related to programming, and the model generates code snippets in response.
User Interaction Options
Provides options to 'Retry', 'Undo', and 'Clear', allowing users to refine their input and receive more precise code outputs.
Example Queries
Offers common example queries like 'implement snake game using pygame' to help users understand how to interact with the tool effectively.
Multimodal Understanding
Allows users to upload an image and ask questions related to the image. The system processes the image and provides responses to queries about the content or context of the image.
Text-to-Image Generation
Generates images based on textual descriptions provided by users. The feature interprets the text and creates corresponding visual content.