For example, after giving certain background information, it can write a product design plan, market analysis report or event planning for the user.įounded in December 2021, MiniMax is actively participating in the era of rapid development of artificial intelligence technology in China, and is committed to becoming an infrastructure builder and content application creator in the era of general artificial intelligence. Its continuous dialogue feature also provides indepth analysis of user questions to provide better answers.įinally, as a decisionmaking auxiliary brain, MiniMax can analyze and refine a large amount of data to generate valuable insights or solutions for users' decisionmaking. It can provide valuable additional information to a question and is good at explaining complex concepts, including but not limited to scientific knowledge, human geography, practical information, philosophical history, etc. In addition, MiniMax can also solve information for users more accurately and efficiently. Based on specific topics or scenarios, it can provide services for creative content production, such as social media release copy, cleverly constructed story scripts, product or service brand marketing copy, and even related topic selection for manuscripts, etc. Secondly, MiniMax can also be used as a creative aid to provide efficiencyenhancing services for content production. For example, according to given guidelines and demand descriptions, it can generate structured text content in a targeted manner, including weekly reports, personal resumes, leave emails, news releases, thesis outlines, official document writing, and postreading frameworks, etc. First, it can efficiently help users write. At present, MiniMax has opened the API experience to enterprises.Īs a large language model, MiniMax has multiple functions. Its main goal is to help humans write efficiently, stimulate creativity, acquire knowledge, and make decisions. MiniMax is the latest generation of largescale Chinese language model. If you want to learn more about Stable Diffusion image generation, you can visit the following links:Texttoimage ()、 Imagetoimage() In addition, the model also allows the use of prompts to partially alter existing images via inpainting and outpainting when used with an appropriate user interface that supports such features, of which numerous different open source implementations exist. The Stable Diffusion model supports the ability to generate new images from scratch through the use of a text prompt describing elements to be included or omitted from the output.Existing images can be redrawn by the model to incorporate new elements described by a text prompt (a process known as "guided image synthesis") through its diffusiondenoising mechanism. To deploy Stable Diffusion on your own device, you can get help based on your platform:Windows()、Mac() Stable Diffusion's code and model weights have been released publicly, and it can run on most consumer hardware equipped with a modest GPU with at least 8 GB VRAM. To quickly experience AI image generation, you can join our Hayo Stable Diffusion room()ĭreamStudio has now released the Stable Diffusion XL Preview version, you can try it in the official drawing first: DreamStudio official drawing board() It is primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating imagetoimage translations guided by a text prompt. Stable Diffusion is a deep learning, texttoimage model released in 2022.
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