What kind of Midjourney does Web 3 need? Exploring practical AIGC with Orbofi as an example

What Midjourney does Web 3 need? A practical example with Orbofi and AIGC.

2023 is destined to be the year of AI. With the thunderous sound of the chatGPT at the beginning of the year, the dormant AI track has been awakened, bringing many new possibilities to the world of blockchain, of which AIGC is undoubtedly one of the most outstanding.

First of all, blockchain has already had “spaces” such as meta-universes that can accommodate more assets created by AI, to enrich the scenes that assets can be displayed in. Secondly, the BRC-20, Avatar, and GameFi tracks are emerging and are seeing frequent large-scale financing, urgently needing more creators to join in and enhance AIGC’s content supply capabilities.

Orbofi has been committed to the generalization of AIGC capabilities to adapt to emerging new scenarios, while hoping to popularize the underlying AI models so that more users can become AI producers rather than simply passive users.

From the assetization of AIGC materials, to subsequent monetization and popularization of uses, Orbor is trying to grasp how to promote the close integration of AIGC and Web 3, as competition will only become more fierce in the future.

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From 10,000 to 1 million: Orbofi’s Methodology for Breaking the Circle

Orbofi emerged during the dawn of the mass popularization of AIGC, as an AIGC model building, material production, and distribution platform geared towards Web3, GameFi, and art creation fields.

Its beta version was launched in the first quarter of this year. Compared to other similar competitors, Orbofi pays great attention to the growth of early users and the accumulation of technical strength.

On the one hand, the technology is mainly divided into the creation of the AI engine, in order to facilitate the creation of assets by users, and on the other hand, it is dedicated to accumulating the materials created by users, creating a prosperous community based on this foundation, and opening the door to entering another dimension for the NFTization of assets.

Two-stage AI model

In Orbofi’s product matrix, there are two main categories: the AI Engine for creating AIGC content, and the Factory that encourages users to create their own AI models. Unlike the general AIGC product’s model posteriority, Orbofi hopes to unlock the right of ordinary users to participate in the AIGC trend from the bottom up.

From the perspective of creating user assets, Orbofi allows users to create two-dimensional assets that can be used in meta-universes, chain games, NFTs, art, and other scenes. It already supports multiple types of media files:

• Text-to-image
• Text-to-image-to-NFT
• Image-to-image

  At the early stage of its launch, Orbofi has accumulated 20 million+ AI assets within a few months, with a user base of over 30,000. It has achieved initial user accumulation almost at zero cost. Furthermore, Orbofi has launched its own AI model generation tool – Factory.

Thanks to its own technical accumulation, Orbofi has proposed the Diffusion model traing-Dreambooth theory, greatly enhancing the effect of human fine-tuning and making the model’s generalization ability more powerful. It is also very easy to deploy.

Combined with Orbofi’s rich open data set, any user can use the model to customize their own model, and mass-produce relevant materials in an industrialized manner, compressing the previously time-consuming and laborious pre-modeling work to a few days or even a few hours.

This has no precedent in existing AIGC products. A large amount of user-accumulated data can only be used by project parties or technical geeks. Orbofi simplifies the model to a no-code mode, allowing users to intuitively train their own models without worrying about internal principles.

User growth depends on experience

After accumulating assets, Orbofi did not simply use them as AI training materials. Instead, it is committed to expanding their uses, giving users a long-lasting sense of immersion.

In addition to AIGC content generation and model capabilities, Orbofi optimizes special searches for users’ highest frequency search behavior, and opens up co-creation capabilities, allowing users to create assets and prompts together.

Comparing with the Web 2 image community Pinterest, searching for “Cat with green eyes and a hat” as a keyword, Orbofi will directly process the instruction with AI, and use it as a prompt to match the material. It can complete the instruction delivery, prompt word generation, sharing and other operations in one-stop, while traditional image communities face many problems such as low matching accuracy and restricted use of materials.

Against this backdrop, Orbofi’s next goal for user growth is one million monthly active users. Compared with products such as Midjourney, Orbofi’s deep integration with Web 3 and game materials can make the assets it creates have direct economic value and get rid of the unequal status between users and platforms.

After the early adoption of AIGC, the challenge of how to commercialize it on a large scale will be faced. One-way user subscription cannot activate the true vitality of the creator’s economy, but under the narrative logic of token economics, the economic value of user creation can be activated, thereby enhancing AIGC’s regenerative capacity.

After AIGC: Asset liquidity and monetization

Existing AIGC products, such as Stable Diffusion, DALL-E or Midjourney, are somewhat insufficient in product logic, and their content generation lacks sustained economic value, most of which can only be sold once, even if cast into NFTs, they still face severe homogeneous competition.

To get rid of this dilemma, Orbofi introduces the $OBI token, currently supporting three EVM public chains of BNB Chain, Polygon, and Ethereum. Unlike the simple governance token utility, the OBI token will play a role in the entire economic cycle within the ecology.

Token construction of continuous liquidity

Within the next 5-7 years, about half of the content materials will be generated by AI, which will change the pattern of the entire game and design industry. According to estimates, a market size of at least $180 billion globally will be directly changed.

Along with this, there will also be a re-adjustment of the production relationship brought by the blockchain. Users, producers, and consumers will become synonyms, and the simple subscription service fee economy will be difficult to sustain.

The OBI token will undertake the complete process of user-generated materials, from materials to NFTs to model data to fee sharing. Throughout the process, OBI will complete the process of profit feedback, which will build a solid barrier for the development of the entire ecology.

Specifically, OBI can be used in the following scenarios:

• Factory creation
• Purchase of computing resources
• Creator income acquisition
• Transaction fee sharing
• Voting rights for participation in governance
• Staking

With the participation of OBI, the entire AIGC platform pattern will undergo drastic changes. In addition to generating high-quality materials and AI model training, Orbofi will have many advantages such as blockchain integration, creator economic monetization system, intelligent search, collective collaboration, incentive model, etc.

Furthermore, Orbofi is actively developing APIs that integrate Web 2 and Web 3 functionality, moving beyond being a simple content generation tool to becoming the infrastructure of the true AI era. For example, Orbofi’s Orbofi Metaverse, developed using the Unity engine, has the ability to connect all AIGC usage scenarios, demonstrating its economic efficiency.

Ecological construction is seeing initial results

Orbofi’s research and development capabilities come mainly from two sources. One is that many members of the team come from traditional gaming or AI giants and have a deep understanding of underlying technologies. The other is a deep involvement in the Web 3 on-chain world ecology and close cooperation with mainstream products, including BNB and Polygon labs.

80% of the Orbofi AI team are developers, with a strong emphasis on technology, including former Ubisoft, ThreeFold members, and consultants from Google Cloud and Nintendo.

Furthermore, during the 2022 Qatar World Cup, Orbofi used an AI system to build its own exclusive metaverse platform, and collaborated with Blockchain SBlockingce to allow more than 2 million gamers to play games in its metaverse. It has also received Grant funding from BNB Chain and worked with Polygon to promote the popularity of NFTs, metaverses, and AIGCs on the chain.

In the real world, Orbofi has established partnerships with Hollywood actor Danny Trejo and social media app Triller, which has over 200 million users. In addition, Orbofi established an official Metaverse for the 2022 Qatar World Cup, proving its brand influence.

After polishing its technology and products, Orbofi will launch token incentives at the appropriate time to promote the development of the entire business and user growth. It conducted an airdrop activity at the end of March and will conduct more activities and collaborations in the future to fundamentally change the current AIGC sector landscape.

Summary

Native Web 3 creation platforms will all face the embarrassment of a cold start, and the AIGC track has been proven to be a rigid demand for users and businesses, changing the production mode and operation logic of the content creation industry. Orbofi’s overall approach is focused on the combination of AIGC and Web 3, with the ultimate aim of replacing traditional Web 2 business models.

Orbofi represents a powerful collaborative model of new productivity tools. From AI to blockchain, individual capabilities are constantly amplified. After breaking free from constraints, the only barrier left will be one’s own imagination.

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