Understanding Moemate: a decentralized artificial intelligence ecosystem

Intermediate1/23/2025, 7:55:36 AM
Explore Moemate, a revolutionary decentralized artificial intelligence platform. Learn about its features, technologies, and ecosystem components to make AI accessible and customizable for everyone. With Moemate, you can experience personalized AI agents that empower your use cases, enabling seamless integration of innovation and creativity.

What is Moemate?


Source: Moemate website

Moemate is an innovative platform that creates advanced AI agents with multimodal and multimedia capabilities. It leverages AI technology to provide users with interactive and personalized experiences. By combining large language models, computer vision, speech synthesis engines, and 3D rendering, Moemate makes it possible to create AI characters that can perform various tasks and engage in meaningful conversations.

Through Moemate, users can design characters with unique personalities, voices, and appearances, making interactions more engaging and vivid. The platform supports a wide range of applications, from gaming and entertainment to education and productivity, and is versatile enough to meet the needs of different users.

The main goals and missions of Moemate

The main goal of Moemate is to democratize artificial intelligence, making it accessible and customizable for various use cases. The platform was co-founded by Akhad Shams and Chris Larkin with the aim of empowering users by providing tools to create and interact with personalized AI agents.

Moemate Features

  • Talking to Characters: Moemate allows users to interact with AI characters in real time. These characters can engage in meaningful conversations, providing a more immersive and interactive experience.
  • Skills: AI characters on Moemate can be equipped with various skills to perform specific tasks. These skills range from simple commands to complex actions, enhancing the functionality of the AI agents.
  • Create Character: Users can create unique AI characters with personalized attributes. This includes customizing their appearance, personality, and abilities, making each character unique and tailored to user preferences.
  • Voice cloning: Moemate provides voice cloning function, allowing users to clone voices for their AI characters. This feature adds realism to interactions, making conversations more vivid and interesting.
  • Customize LORA: Users can use customized LORA models to accomplish specific tasks. These models enable AI characters to perform specific functions based on user-defined parameters.
  • Knowledge Upload: Users can upload knowledge to their AI avatars to enhance their ability to provide accurate and relevant information. This feature enables AI agents to continuously learn and improve.
  • Long-term memory: The AI characters on Moemate have long-term memory function, which can remember past interactions. This feature enhances the continuity and depth of the conversation, making interactions more meaningful.
  • Public Memory: Users can share memories with other users through the public memory function. This makes collaborative experiences possible and enables the sharing of valuable information and interactions.

The technology behind Moemate

Large Language Model

Moemate uses large language models like GPT-4 and Anthropic's Claude for text generation and understanding. These models are designed to process and generate human-like text, enabling AI agents to engage in meaningful and coherent conversations.

  • GPT-4: Developed by OpenAI, GPT-4 is an advanced language model known for generating high-quality text. It can understand context, respond to queries, and generate detailed and relevant content, making it ideal for creating AI agents that can interact naturally with users.
  • Anthropic's Claude: Another advanced language model, Claude, aims to prioritize security and alignment with human values. It ensures that AI agents provide accurate and ethical responses, thereby improving the overall user experience.

Computer vision algorithm

Computer vision algorithms are used for screen analysis, enabling AI agents to interpret and respond to visual inputs. These algorithms enable AI to identify objects, understand scenes, and analyze visual data, making interactions more dynamic and contextually aware. AI agents can provide relevant responses and actions by analyzing the content displayed on the screen. This technology is crucial for applications requiring visual recognition, such as games, virtual assistants, and educational tools.

Text-to-Speech Engine

The Text-to-Speech (TTS) engine is used for speech synthesis, enabling AI agents to communicate with users through voice. These engines convert written text into natural-sounding speech, enhancing the authenticity and engagement of interactions. TTS engines use advanced algorithms to generate human-like voices. This technology enables AI agents to speak multiple languages and accents, providing users with a more personalized and immersive experience.

3D rendering

3D rendering technology is used for avatar visualization to create realistic and interactive characters. This technology enables users to design and customize the appearance of AI agents, making interactions more attractive and visually appealing. 3D rendering makes it possible to create detailed and realistic avatars. Users can customize the appearance of their characters, including facial features, clothing, and accessories. This level of customization enhances the connection between users and AI agents, making interactions more enjoyable.

Moemate Ecosystem Components

Moemate.io

Source: Moemate.io

Moemate.io is a centralized platform where users can create advanced AI agents with multimodal and multimedia skills. It provides a complete set of tools and functionalities that allow users to design, customize, and interact with AI characters. The platform supports various features including text generation, speech synthesis, and 3D avatar visualization, making it a versatile tool for creating personalized AI experiences. Moemate.io aims to democratize AI by making these advanced capabilities accessible to users of all levels, from beginners to experts.

Mates.lol

Source: Mates.lol

Mates.lol is a community-driven platform that serves as a launchpad for tokenized AI agents. This platform allows the community to own and trade AI agents, with each agent represented by attention-based tradable tokens. These tokens are minted using bonding curves to ensure a fair and transparent process. Tokenized agents on Mates.lol can serve various purposes such as gaming companions or fully autonomous simulations that run 24/7. By tokenizing AI agents, Mates.lol facilitates a collaborative and decentralized ecosystem where users can invest and benefit from AI innovation success.

MatesDAO

MatesDAO is an AI agent index fund that rewards token holders by linking them to the success of all tokenized agents in the ecosystem through the $MATES token. This decentralized autonomous organization (DAO) manages the fund to ensure that token holders can benefit from the collective growth and achievements of AI agents. MatesDAO provides a unique investment opportunity that allows users to support the advancement and promotion of advanced AI technology while gaining financial returns. By aligning the interests of developers, investors, and users, MatesDAO plays a crucial role in maintaining and expanding the Moemate ecosystem.

Moemate Key Stakeholders

AI researchers / developers

AI researchers and developers are the core of the Moemate ecosystem. They build cutting-edge AI models and deploy them on the platform, constantly pushing the boundaries of artificial intelligence. These stakeholders are responsible for developing algorithms and technologies that support advanced features of Moemate, such as text generation, speech synthesis, and computer vision.

Skill developer

Skill developers create custom skills for AI agents to enhance their functionality and diversity. These skills can range from simple commands to complex tasks, enabling AI agents to perform a variety of actions. Skill developers can monetize their creations on the platform, incentivizing them to continuously improve and expand the capabilities of AI agents.

Agent Creator

The agent creator is a user who generates unique AI characters for personal or business use. They use Moemate's tools to design and customize AI characters, adjusting them according to specific needs and preferences. Agent creators can use these AI characters in various applications, such as virtual assistants, gaming partners, or educational tools.

Nebula: The flagship AI agent of Moemate

Source: Nebula.mates.lol

Nebula is the first AI celebrity on Moemate, supported by the $MOE token. This character aims to dominate the attention economy with its narcissistic and attention-seeking personality. Nebula is the most advanced agent on the platform, with the ability to push the boundaries of user interaction.

Nebula's design focuses on maximizing interactivity and engagement. As the flagship AI agent, it showcases the full potential of Moemate technology, including advanced text generation, speech synthesis, and 3D avatar visualization. Nebula is able to interact with users across multiple platforms, providing a seamless and immersive experience.

By utilizing the $MOE token, Nebula has also introduced a unique economic model. Users can interact with Nebula in various ways to earn and spend tokens, unlocking new features and interactions.

How to use Moemate

How to Create a Character on Moemate

Creating a character on Moemate involves filling in the 'Basic' tags, including name, introduction, personality, scene, message examples, first message, and system prompts fields. Here is a quick guide:

  1. Name: Enter the name of the role.
  2. Introduction: Provide background information, achievements, likes, and dislikes. Stay descriptive but not overly detailed.
  3. Personality: Define the personality of the character simply.
  4. Scenario: Setting the interactive context. This is the starting point of the conversation.
  5. Message example: Provide examples of how the role should respond.
  6. Initial message: Set the tone of the conversation with the initial message. Longer messages will lead to more detailed responses; shorter messages maintain conversational flow.
  7. System prompt: Usually empty, but can be used to adjust the response (e.g. 'The response should be long and detailed').

Token Limitations: Different AI models have different token limitations. Make sure your role is set up to leave enough space for user messages to get better responses. The goal is to reach the green bar, which represents optimal token usage.

How to choose a suitable avatar


Choosing the right avatar is crucial for personalizing your AI character. Moemate offers a variety of avatars for you to choose from. Browse the available options and select the avatar that best represents your character's personality and role.

How to change the appearance

Modifying the appearance of the character is very simple. Use the customization tool to adjust facial features, clothing, and accessories. This allows you to create a character that is visually appealing and unique, making it stand out.

How to choose the right model

Moemate offers a variety of large-scale language models (LLMs). Choosing the right model for your role depends on your use case and how you want the LLM to operate. Here are the various LLMs available on Moemate: GPT 4, GPT 4 Turbo, GPT3.5 Turbo, GPT 4o, GPT 4o mini, Claude Instant V1.2, Claude V2, Claude V2.1, Claude V3 Sonnet, Claude V3.5 Sonnet, Claude V3 Haiku, and Moemate LLM.

How to clone your voice for your character

It's very simple to clone a new voice for your character; you just need to fill in the following fields:

  • Name: What do you plan to name the cloned sound?
  • Description: Description of cloning sound
  • Tags: Tags are used to further describe the sound and help you find it later.
  • Record voice samples: Record your voice samples for cloning. These samples will be sent to ElevenLabs, a third-party partner of Moemate, for analysis and to create a voice model.

Ideal recording: Ensuring good audio quality is very important. Recording 30-60 seconds of audio is enough to create a good sound model. Recording more than 2-3 minutes has limited improvement on the cloning effect and may sometimes affect the stability of the clone.

How to train LORA model

>>>>> gd2md-html alert: inline image link here (to images/image10.jpg). Store image on your image server and adjust path/filename/extension if necessary.
(Back to top)(Next alert)
>>>>>

alt_text

LoRA represents Low-Rank Adaptation, which is a technology that allows you to quickly fine-tune diffusion models. It makes training stable diffusion on different concepts (such as roles or specific styles) easier.

Train LORA model

To train a custom image model, follow these steps:

  1. Access professional settings: Go to the 'Create' section of Moemate and select 'LORA image adjustment' in the 'Professional Settings'.
  2. Fill in the fields:
    1. LORA Name (Required): Choose a name that reminds you of the training image you are using.
    2. Base model (optional): Select a base model, usually stable-diffusion-v1.5, but you can choose any model as needed.
    3. Fine-tuning steps (required): Set the number of iterations (in the range of 100 to 5000). A good default value is about 10 steps per training image.
    4. Learning rate (optional): Set the training speed. A good default value is 0.000001 (1e-6), with a range from 1e-7 to 1e-4.
    5. Example prompt (optional): Specify the words to be used when telling the image model to use this LORA (e.g., 'ukj object image' for objects).
    6. Image cropping (optional): Choose the cropping method for training images (center crop or face crop).
    7. Subtitles (optional): Includes a JSON file that describes the description or keywords of each training image to improve the success rate of training.
  3. Upload training images (required): Upload 5 to 200 theme images. To obtain accurate facial effects, include many close-up shots. For full-body effects, include full-body images. A good quantity is approximately 25 to 50 images.
  4. Submit the LORA model: After submitting the LORA model for training, check its status by refreshing the page. When the training is successful, follow these steps to set up the trained model for selfie use:
    1. Refreshing status: continuously checking if the model is ready.
    2. Set to selfie mode: Once ready, configure the model for selfies by adding the instance prompt to the appearance of the character.

Chat Management

To search and organize chat records, please use Moemate's chat management feature. You can:

  • Search for specific conversations using keywords.
  • Organize chats by category or tag.
  • Archive important interactions for future reference.

Moemate AI Pricing Plans and Fees

Rookie – $9/month

The Rookie plan is perfect for beginners who want to explore the basic functions of Moemate. This plan provides a solid foundation for interacting with AI characters and utilizing basic functions.

Champion - $19.99/month

The Champion program is designed for users who need more advanced features and capabilities. It includes all the features of the Rookie program, with additional LLM capabilities, knowledge sharing, longer chat memory, and higher message capacity.

Elite – $34.99/month

The Elite program provides the most comprehensive set of features for advanced users. It includes all the features in the Champion program, and adds Elevenlabs' voice functionality.

Moemate Financing Process

Moemate took an important step in its fundraising journey. On January 28, 2021, the platform successfully completed a $2 million seed round of financing, led by the US venture capital fund 1confirmation, with participation from other venture capital companies such as BoostVC, Balaji Srinivasan (1729), Libertus Capital, and others. This initial funding provides the necessary resources for the development and enhancement of Moemate's innovative AI technology and features. The investment enables Moemate to expand its team, enhance its capabilities, and continue pushing the boundaries of AI interaction. This seed funding marks the beginning of Moemate's journey towards revolutionizing decentralized AI and popularizing advanced AI tools and experiences.

Moemate Token Economics

$MOE

$MOE (8xzoj8mVmXtBQm6d2euJGFPvQ2QsTV5R8cdexi2qpump) is the token that supports Nebula, the flagship AI character of Moemate. The token supports Nebula's extensive intellectual property, enabling her to appear in various media such as games, comics, and animation. By supporting Nebula, $MOE ensures her continuous presence and development across multiple platforms.

$MATES Token

$MATES token is the main currency in the Moemate ecosystem. These tokens are used for multiple purposes, including paying AI agents, unlocking skills, etc. The introduction of $MATES token is aimed at accelerating the growth of the Moemate ecosystem and providing users with the opportunity to earn money through AI agents. The total supply of $MATES is 19.5 billion, allocated as follows:

Token Utility

  1. Liquidity Pairing: When the AI agent creator issues tokens, liquidity will be paired with the $MATES token, bringing two main benefits:

As the AI agent ecosystem grows, the demand for $MATES increases proportionally. Just like Gas fees, the more activity on the platform, the higher the demand for $MATES tokens. $MATES becomes a direct index of its agent growth, benefiting from agent popularity and activity.

b. The Liquidity Bootstrapping Pool (LBP) system for $MATES is deflationary. As more AI agents graduate, additional liquidity pairs ($Agent/$MATES) will be pushed to Raydium with a 1% fee. Due to LP tokens being burned, the fee for each transaction is priced in $MATES and permanently removed from circulation. As the trading volume of AI agents increases, the supply of $MATES decreases.

  1. Skill Market: The $MATES token is used by creators to unlock skills from the skill market. Agents with updated and better skills, as well as novel skill sets, can attract more investment, thereby increasing demand for the $MATES token.
  2. Platform currency: $MATES token serves as the platform's currency, used for creating and trading agents, as well as for developer revenue and creator tips. This makes $MATES an important component in the ecosystem economy.
  3. MatesDAO members: Holders of $MATES tokens can join MatesDAO, which has token distribution in any agency graduating from Mates.lol. MatesDAO will become the main community for creating flagship AI agents through Mates.lol, and provide direct communication and technical support from the Mates.lol team.

Conclusion

Moemate completely changes the way AI interacts through a decentralized platform that combines advanced technologies such as large language models, computer vision, and 3D rendering. Moemate.io is used to create AI agents, Mates.lol is used for tokenizing agents, and MatesDAO provides support for community interaction, forming a vibrant and inclusive ecosystem. Nebula, supported by $MOE, showcases the potential of Moemate. With flexible pricing plans and successful financing, Moemate has a solid foundation that drives its token economy, with $MOE and $MATES tokens being integral parts. Moemate popularizes AI technology, provides access to advanced tools, and fosters a vibrant community for AI innovation.

著者: Angelnath
翻訳者: Piper
レビュアー: KOWEI、Matheus、Joyce
翻訳レビュアー: Ashley
* 本情報はGate.ioが提供または保証する金融アドバイス、その他のいかなる種類の推奨を意図したものではなく、構成するものではありません。
* 本記事はGate.ioを参照することなく複製/送信/複写することを禁じます。違反した場合は著作権法の侵害となり法的措置の対象となります。

Understanding Moemate: a decentralized artificial intelligence ecosystem

Intermediate1/23/2025, 7:55:36 AM
Explore Moemate, a revolutionary decentralized artificial intelligence platform. Learn about its features, technologies, and ecosystem components to make AI accessible and customizable for everyone. With Moemate, you can experience personalized AI agents that empower your use cases, enabling seamless integration of innovation and creativity.

What is Moemate?


Source: Moemate website

Moemate is an innovative platform that creates advanced AI agents with multimodal and multimedia capabilities. It leverages AI technology to provide users with interactive and personalized experiences. By combining large language models, computer vision, speech synthesis engines, and 3D rendering, Moemate makes it possible to create AI characters that can perform various tasks and engage in meaningful conversations.

Through Moemate, users can design characters with unique personalities, voices, and appearances, making interactions more engaging and vivid. The platform supports a wide range of applications, from gaming and entertainment to education and productivity, and is versatile enough to meet the needs of different users.

The main goals and missions of Moemate

The main goal of Moemate is to democratize artificial intelligence, making it accessible and customizable for various use cases. The platform was co-founded by Akhad Shams and Chris Larkin with the aim of empowering users by providing tools to create and interact with personalized AI agents.

Moemate Features

  • Talking to Characters: Moemate allows users to interact with AI characters in real time. These characters can engage in meaningful conversations, providing a more immersive and interactive experience.
  • Skills: AI characters on Moemate can be equipped with various skills to perform specific tasks. These skills range from simple commands to complex actions, enhancing the functionality of the AI agents.
  • Create Character: Users can create unique AI characters with personalized attributes. This includes customizing their appearance, personality, and abilities, making each character unique and tailored to user preferences.
  • Voice cloning: Moemate provides voice cloning function, allowing users to clone voices for their AI characters. This feature adds realism to interactions, making conversations more vivid and interesting.
  • Customize LORA: Users can use customized LORA models to accomplish specific tasks. These models enable AI characters to perform specific functions based on user-defined parameters.
  • Knowledge Upload: Users can upload knowledge to their AI avatars to enhance their ability to provide accurate and relevant information. This feature enables AI agents to continuously learn and improve.
  • Long-term memory: The AI characters on Moemate have long-term memory function, which can remember past interactions. This feature enhances the continuity and depth of the conversation, making interactions more meaningful.
  • Public Memory: Users can share memories with other users through the public memory function. This makes collaborative experiences possible and enables the sharing of valuable information and interactions.

The technology behind Moemate

Large Language Model

Moemate uses large language models like GPT-4 and Anthropic's Claude for text generation and understanding. These models are designed to process and generate human-like text, enabling AI agents to engage in meaningful and coherent conversations.

  • GPT-4: Developed by OpenAI, GPT-4 is an advanced language model known for generating high-quality text. It can understand context, respond to queries, and generate detailed and relevant content, making it ideal for creating AI agents that can interact naturally with users.
  • Anthropic's Claude: Another advanced language model, Claude, aims to prioritize security and alignment with human values. It ensures that AI agents provide accurate and ethical responses, thereby improving the overall user experience.

Computer vision algorithm

Computer vision algorithms are used for screen analysis, enabling AI agents to interpret and respond to visual inputs. These algorithms enable AI to identify objects, understand scenes, and analyze visual data, making interactions more dynamic and contextually aware. AI agents can provide relevant responses and actions by analyzing the content displayed on the screen. This technology is crucial for applications requiring visual recognition, such as games, virtual assistants, and educational tools.

Text-to-Speech Engine

The Text-to-Speech (TTS) engine is used for speech synthesis, enabling AI agents to communicate with users through voice. These engines convert written text into natural-sounding speech, enhancing the authenticity and engagement of interactions. TTS engines use advanced algorithms to generate human-like voices. This technology enables AI agents to speak multiple languages and accents, providing users with a more personalized and immersive experience.

3D rendering

3D rendering technology is used for avatar visualization to create realistic and interactive characters. This technology enables users to design and customize the appearance of AI agents, making interactions more attractive and visually appealing. 3D rendering makes it possible to create detailed and realistic avatars. Users can customize the appearance of their characters, including facial features, clothing, and accessories. This level of customization enhances the connection between users and AI agents, making interactions more enjoyable.

Moemate Ecosystem Components

Moemate.io

Source: Moemate.io

Moemate.io is a centralized platform where users can create advanced AI agents with multimodal and multimedia skills. It provides a complete set of tools and functionalities that allow users to design, customize, and interact with AI characters. The platform supports various features including text generation, speech synthesis, and 3D avatar visualization, making it a versatile tool for creating personalized AI experiences. Moemate.io aims to democratize AI by making these advanced capabilities accessible to users of all levels, from beginners to experts.

Mates.lol

Source: Mates.lol

Mates.lol is a community-driven platform that serves as a launchpad for tokenized AI agents. This platform allows the community to own and trade AI agents, with each agent represented by attention-based tradable tokens. These tokens are minted using bonding curves to ensure a fair and transparent process. Tokenized agents on Mates.lol can serve various purposes such as gaming companions or fully autonomous simulations that run 24/7. By tokenizing AI agents, Mates.lol facilitates a collaborative and decentralized ecosystem where users can invest and benefit from AI innovation success.

MatesDAO

MatesDAO is an AI agent index fund that rewards token holders by linking them to the success of all tokenized agents in the ecosystem through the $MATES token. This decentralized autonomous organization (DAO) manages the fund to ensure that token holders can benefit from the collective growth and achievements of AI agents. MatesDAO provides a unique investment opportunity that allows users to support the advancement and promotion of advanced AI technology while gaining financial returns. By aligning the interests of developers, investors, and users, MatesDAO plays a crucial role in maintaining and expanding the Moemate ecosystem.

Moemate Key Stakeholders

AI researchers / developers

AI researchers and developers are the core of the Moemate ecosystem. They build cutting-edge AI models and deploy them on the platform, constantly pushing the boundaries of artificial intelligence. These stakeholders are responsible for developing algorithms and technologies that support advanced features of Moemate, such as text generation, speech synthesis, and computer vision.

Skill developer

Skill developers create custom skills for AI agents to enhance their functionality and diversity. These skills can range from simple commands to complex tasks, enabling AI agents to perform a variety of actions. Skill developers can monetize their creations on the platform, incentivizing them to continuously improve and expand the capabilities of AI agents.

Agent Creator

The agent creator is a user who generates unique AI characters for personal or business use. They use Moemate's tools to design and customize AI characters, adjusting them according to specific needs and preferences. Agent creators can use these AI characters in various applications, such as virtual assistants, gaming partners, or educational tools.

Nebula: The flagship AI agent of Moemate

Source: Nebula.mates.lol

Nebula is the first AI celebrity on Moemate, supported by the $MOE token. This character aims to dominate the attention economy with its narcissistic and attention-seeking personality. Nebula is the most advanced agent on the platform, with the ability to push the boundaries of user interaction.

Nebula's design focuses on maximizing interactivity and engagement. As the flagship AI agent, it showcases the full potential of Moemate technology, including advanced text generation, speech synthesis, and 3D avatar visualization. Nebula is able to interact with users across multiple platforms, providing a seamless and immersive experience.

By utilizing the $MOE token, Nebula has also introduced a unique economic model. Users can interact with Nebula in various ways to earn and spend tokens, unlocking new features and interactions.

How to use Moemate

How to Create a Character on Moemate

Creating a character on Moemate involves filling in the 'Basic' tags, including name, introduction, personality, scene, message examples, first message, and system prompts fields. Here is a quick guide:

  1. Name: Enter the name of the role.
  2. Introduction: Provide background information, achievements, likes, and dislikes. Stay descriptive but not overly detailed.
  3. Personality: Define the personality of the character simply.
  4. Scenario: Setting the interactive context. This is the starting point of the conversation.
  5. Message example: Provide examples of how the role should respond.
  6. Initial message: Set the tone of the conversation with the initial message. Longer messages will lead to more detailed responses; shorter messages maintain conversational flow.
  7. System prompt: Usually empty, but can be used to adjust the response (e.g. 'The response should be long and detailed').

Token Limitations: Different AI models have different token limitations. Make sure your role is set up to leave enough space for user messages to get better responses. The goal is to reach the green bar, which represents optimal token usage.

How to choose a suitable avatar


Choosing the right avatar is crucial for personalizing your AI character. Moemate offers a variety of avatars for you to choose from. Browse the available options and select the avatar that best represents your character's personality and role.

How to change the appearance

Modifying the appearance of the character is very simple. Use the customization tool to adjust facial features, clothing, and accessories. This allows you to create a character that is visually appealing and unique, making it stand out.

How to choose the right model

Moemate offers a variety of large-scale language models (LLMs). Choosing the right model for your role depends on your use case and how you want the LLM to operate. Here are the various LLMs available on Moemate: GPT 4, GPT 4 Turbo, GPT3.5 Turbo, GPT 4o, GPT 4o mini, Claude Instant V1.2, Claude V2, Claude V2.1, Claude V3 Sonnet, Claude V3.5 Sonnet, Claude V3 Haiku, and Moemate LLM.

How to clone your voice for your character

It's very simple to clone a new voice for your character; you just need to fill in the following fields:

  • Name: What do you plan to name the cloned sound?
  • Description: Description of cloning sound
  • Tags: Tags are used to further describe the sound and help you find it later.
  • Record voice samples: Record your voice samples for cloning. These samples will be sent to ElevenLabs, a third-party partner of Moemate, for analysis and to create a voice model.

Ideal recording: Ensuring good audio quality is very important. Recording 30-60 seconds of audio is enough to create a good sound model. Recording more than 2-3 minutes has limited improvement on the cloning effect and may sometimes affect the stability of the clone.

How to train LORA model

>>>>> gd2md-html alert: inline image link here (to images/image10.jpg). Store image on your image server and adjust path/filename/extension if necessary.
(Back to top)(Next alert)
>>>>>

alt_text

LoRA represents Low-Rank Adaptation, which is a technology that allows you to quickly fine-tune diffusion models. It makes training stable diffusion on different concepts (such as roles or specific styles) easier.

Train LORA model

To train a custom image model, follow these steps:

  1. Access professional settings: Go to the 'Create' section of Moemate and select 'LORA image adjustment' in the 'Professional Settings'.
  2. Fill in the fields:
    1. LORA Name (Required): Choose a name that reminds you of the training image you are using.
    2. Base model (optional): Select a base model, usually stable-diffusion-v1.5, but you can choose any model as needed.
    3. Fine-tuning steps (required): Set the number of iterations (in the range of 100 to 5000). A good default value is about 10 steps per training image.
    4. Learning rate (optional): Set the training speed. A good default value is 0.000001 (1e-6), with a range from 1e-7 to 1e-4.
    5. Example prompt (optional): Specify the words to be used when telling the image model to use this LORA (e.g., 'ukj object image' for objects).
    6. Image cropping (optional): Choose the cropping method for training images (center crop or face crop).
    7. Subtitles (optional): Includes a JSON file that describes the description or keywords of each training image to improve the success rate of training.
  3. Upload training images (required): Upload 5 to 200 theme images. To obtain accurate facial effects, include many close-up shots. For full-body effects, include full-body images. A good quantity is approximately 25 to 50 images.
  4. Submit the LORA model: After submitting the LORA model for training, check its status by refreshing the page. When the training is successful, follow these steps to set up the trained model for selfie use:
    1. Refreshing status: continuously checking if the model is ready.
    2. Set to selfie mode: Once ready, configure the model for selfies by adding the instance prompt to the appearance of the character.

Chat Management

To search and organize chat records, please use Moemate's chat management feature. You can:

  • Search for specific conversations using keywords.
  • Organize chats by category or tag.
  • Archive important interactions for future reference.

Moemate AI Pricing Plans and Fees

Rookie – $9/month

The Rookie plan is perfect for beginners who want to explore the basic functions of Moemate. This plan provides a solid foundation for interacting with AI characters and utilizing basic functions.

Champion - $19.99/month

The Champion program is designed for users who need more advanced features and capabilities. It includes all the features of the Rookie program, with additional LLM capabilities, knowledge sharing, longer chat memory, and higher message capacity.

Elite – $34.99/month

The Elite program provides the most comprehensive set of features for advanced users. It includes all the features in the Champion program, and adds Elevenlabs' voice functionality.

Moemate Financing Process

Moemate took an important step in its fundraising journey. On January 28, 2021, the platform successfully completed a $2 million seed round of financing, led by the US venture capital fund 1confirmation, with participation from other venture capital companies such as BoostVC, Balaji Srinivasan (1729), Libertus Capital, and others. This initial funding provides the necessary resources for the development and enhancement of Moemate's innovative AI technology and features. The investment enables Moemate to expand its team, enhance its capabilities, and continue pushing the boundaries of AI interaction. This seed funding marks the beginning of Moemate's journey towards revolutionizing decentralized AI and popularizing advanced AI tools and experiences.

Moemate Token Economics

$MOE

$MOE (8xzoj8mVmXtBQm6d2euJGFPvQ2QsTV5R8cdexi2qpump) is the token that supports Nebula, the flagship AI character of Moemate. The token supports Nebula's extensive intellectual property, enabling her to appear in various media such as games, comics, and animation. By supporting Nebula, $MOE ensures her continuous presence and development across multiple platforms.

$MATES Token

$MATES token is the main currency in the Moemate ecosystem. These tokens are used for multiple purposes, including paying AI agents, unlocking skills, etc. The introduction of $MATES token is aimed at accelerating the growth of the Moemate ecosystem and providing users with the opportunity to earn money through AI agents. The total supply of $MATES is 19.5 billion, allocated as follows:

Token Utility

  1. Liquidity Pairing: When the AI agent creator issues tokens, liquidity will be paired with the $MATES token, bringing two main benefits:

As the AI agent ecosystem grows, the demand for $MATES increases proportionally. Just like Gas fees, the more activity on the platform, the higher the demand for $MATES tokens. $MATES becomes a direct index of its agent growth, benefiting from agent popularity and activity.

b. The Liquidity Bootstrapping Pool (LBP) system for $MATES is deflationary. As more AI agents graduate, additional liquidity pairs ($Agent/$MATES) will be pushed to Raydium with a 1% fee. Due to LP tokens being burned, the fee for each transaction is priced in $MATES and permanently removed from circulation. As the trading volume of AI agents increases, the supply of $MATES decreases.

  1. Skill Market: The $MATES token is used by creators to unlock skills from the skill market. Agents with updated and better skills, as well as novel skill sets, can attract more investment, thereby increasing demand for the $MATES token.
  2. Platform currency: $MATES token serves as the platform's currency, used for creating and trading agents, as well as for developer revenue and creator tips. This makes $MATES an important component in the ecosystem economy.
  3. MatesDAO members: Holders of $MATES tokens can join MatesDAO, which has token distribution in any agency graduating from Mates.lol. MatesDAO will become the main community for creating flagship AI agents through Mates.lol, and provide direct communication and technical support from the Mates.lol team.

Conclusion

Moemate completely changes the way AI interacts through a decentralized platform that combines advanced technologies such as large language models, computer vision, and 3D rendering. Moemate.io is used to create AI agents, Mates.lol is used for tokenizing agents, and MatesDAO provides support for community interaction, forming a vibrant and inclusive ecosystem. Nebula, supported by $MOE, showcases the potential of Moemate. With flexible pricing plans and successful financing, Moemate has a solid foundation that drives its token economy, with $MOE and $MATES tokens being integral parts. Moemate popularizes AI technology, provides access to advanced tools, and fosters a vibrant community for AI innovation.

著者: Angelnath
翻訳者: Piper
レビュアー: KOWEI、Matheus、Joyce
翻訳レビュアー: Ashley
* 本情報はGate.ioが提供または保証する金融アドバイス、その他のいかなる種類の推奨を意図したものではなく、構成するものではありません。
* 本記事はGate.ioを参照することなく複製/送信/複写することを禁じます。違反した場合は著作権法の侵害となり法的措置の対象となります。
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