ArtbasketAI Business Plan

ArtBasketAI - Democratizing comic creation

A very preliminary business plan report made before even the name ArtBasket was chosen. Repost of the post in docs.artbasket.ai

Executive Summary

Brief Overview

This venture aims to revolutionize the comic book and digital art industry by providing an AI-powered platform that enables seamless creation and sharing of comics. With an initial focus on the United States and Japan, the platform aims to ultimately democratize comic book creation by leveraging advanced generative AI algorithms, thereby eliminating the need for specialized tools and technical expertise.

Objectives

• Explore the current Generative AI and comic book industry trends
• Identify a problem and present a possible solution that addresses the problem
• Propose a plan to develop a Minimum Viable Product (MVP) to validate market fit.
• Estimate the plan to take the venture from pre-seed to all the way to an exit through an IPO in a span of seven years.

The venture is positioned to seize a significant opportunity in the creative industry by being among the first to harness the full potential of generative AI for artistic expression. With plans for a focused go-to-market strategy and rigorous operational scaling, the venture aims to achieve rapid revenue growth and customer acquisition. An IPO is identified as the optimal exit strategy, providing the financial means to invest in next-generation AI capabilities and expand the platform’s offerings to include production-grade animations and videos. This aligns with the venture’s commitment to promoting creativity and free expression, while offering substantial financial upside for both founders and investors.

Introduction

Background

Generative AI is a type of artificial intelligence that can create new content, such as text, images, and music. It is trained on large amounts of data, and then learns to generate new content that is similar to the data it was trained on.Generative AI is still in its early stages of development, but it has the potential to revolutionize many industries, including the creative industry. For example, generative AI can be used to create new forms of art, music, and literature. It can also be used to create new tools and resources for creative professionals.

The comic book industry is a multi-billion dollar industry that is growing rapidly. The global comic book market is expected to reach $13.2 billion by 2027. The comic book industry is facing a number of challenges, including the rise of digital media and the decline of brick-and-mortar comic book stores. Generative AI has the potential to revolutionize the comic book industry. For example, generative AI can be used to create new comic book series, to generate new characters and storylines, and to create new art styles.

The book industry is another multi-billion dollar industry that is facing a number of challenges, including the rise of digital media and the decline of brick-and-mortar bookstores. Generative AI has the potential to revolutionize the book industry. For example, generative AI can be used to create new book series, to generate new characters and storylines, and to translate books into other languages while maintaining the same tone, writing style that closely matches the original intended purpose in the original language.

This entry of these new unfamiliar tools has since caused a lot of anxiety in the traditional professional creative industry since they are now facing an existential threat of quickly becoming obsolete as witnessed by several competitions where the AI generated content easily beat out the industry champions.

Jason Allen’s A.I.-generated work, “Théâtre D’opéra Spatial,” took first place in the digital category at the Colorado State Fair.[1]. When questioned about the fairness and ethicality of using AI generated images Jason said “The ethics isn’t in the technology. It’s in the people.” Without getting into the morality of the question of fairness, we have to address the root question of what exactly is art and why do we assign value to it. There is no one agreed-upon definition of art, and it can be difficult to distinguish from other forms of human expression, such as craft or design. However, art is often characterized by its intentionality, its creativity, and its ability to evoke emotions or ideas in the viewer. Would you simply bias your decision of what is good art depending on the creator and try to find meaning where it doesn’t explicitly exist and assign value to something based on our best interpretation of what that value is based on context. Artists usually take pride in having been students of great artists who came before them. They also learn from them their artistic styles and techniques before venturing out and developing their own unique style from their experiences.

Without getting into the technical details,  Generative AI similarly learns about all the available styles and techniques from art that it is trained on and is able to mimic the style and technique and is able to do it in a fraction of time that a human artist is able to do this.[2] The result of such mimicry is sometimes even better than the original author is capable of on a new subject. This process is so easy and commoditized that some have even put forth easy to follow tutorials on the web to achieve this with minimal understanding of technical concepts needed to understand how the Generative AI technology works [3].  Notable this implies that it is possible to churn out and flood the creative market with AI generated content almost at the speed of conception of any creative idea that in theory could completely eliminate the cost of actually hiring an artist for several industry standard tasks like Graphic designers, website designers, etc. This is all the more pronounced in the text medium which is even easier to generate content for.  Fearing such AI takeover of tasks many writers and authors, especially in the US have expressed vocal concerns since they already experience low wages in another already saturated market.  Although they were able to jointly negotiate a higher wage and an assurance of job safety, the question remains open, for just how long? Generative AI is still in infancy and already is able to compete at the same footing of experienced industry professionals in certain domains. The tech industry behind it is going all in on this domain and it won’t be long before other industries adopt it once all the quirks are fixed. Right now companies like Heinz are already experimenting with AI ad campaigns with their ketchup title ‘AI Ketchup’[5]

Thus even with the concerns over Job loss, many companies are open to and willing to promote generative AI content and there exists a huge market in the creative industry to embrace AI in improving several mundane aspects of production ranging from Idea creation, evaluation and prototyping [4].

Technological innovations have traditionally impacted the comic book industry in various ways, from the digitization of comics to the use of advanced design software. However, the core process of creating a comic—ideating, writing, illustrating, and layouting—has remained largely manual and time-consuming.

  Problem Statement

The complexity involved in comic book creation can be overwhelming for newcomers and even for experienced creators. For instance, a writer with a compelling story might not possess the skills to illustrate it, or vice versa. Furthermore, even if one does have both skill sets, the process is highly time-consuming and often requires the use of multiple specialized software tools for tasks like scripting, illustration, and layout. This fragmented and complicated process acts as a significant barrier to entry.

Moreover, the industry-standard tools for comic creation are often expensive and have a steep learning curve, which further exacerbates the problem. As a result, a large number of potentially compelling stories and artistic visions are left unrealized because the creators are either discouraged by the complexity or unable to afford the tools and resources necessary for production.

Scope of the Venture

The scope of this venture extends beyond merely providing a tool for comic creation; it aims to revolutionize the entire ecosystem of storytelling through visual mediums. By leveraging state-of-the-art generative AI technologies, the platform aspires to democratize content creation in the comic book industry. The key aspects of this venture would be :

User Accessibility: The platform will be designed to accommodate users with varying levels of technical expertise. Whether it’s a seasoned designer familiar with complex graphic software or a literature major with minimal design skills, the platform aims to serve a broad user base.

1. AI-Powered Features: Central to the venture is the use of generative AI that can assist in both the scripting and illustrating phases. Users will be able to input text-based stories and directions, and the AI can convert these into fully designed comic book panels.
2. Customization: Beyond generic comic creation, the platform will offer customization features that allow users to choose styles, themes, and even specific genres. This adds a layer of personalization to the comic creation process.
3. Streamlined Production: The platform will handle everything from story composition to layout design, effectively serving as a one-stop solution for comic book creation.
4. Monetization and Business Partnerships: While the primary focus is on individual creators, the platform also envisages partnerships with educational institutions, content creation agencies, and even established publishers. Various monetization strategies, such as subscription models, freemium features, and licensing, are under consideration.
5. Community Building: One of the long-term goals is to build a community around the platform, where users can share their creations, offer feedback, and even collaborate on projects. This will add a social dimension to the venture, enhancing user engagement and retention.
6. Market Focus: Initially, the venture will focus on capturing market share in the United States and Japan, two of the largest markets for comic books and digital art. Future expansion may include other geographical areas and potentially other forms of visual storytelling.
7. Monetization and Business Partnerships: While the primary focus is on individual creators, the platform also envisages partnerships with educational institutions, content creation agencies, and even established publishers. Various monetization strategies, such as subscription models, freemium features, and licensing, are under consideration.
8. Community Building: One of the long-term goals is to build a community around the platform, where users can share their creations, offer feedback, and even collaborate on projects. This will add a social dimension to the venture, enhancing user engagement and retention.

Context and Venture Analysis

Industry Overview

Comic Book Industry: Porter’s Five Forces Analysis

Industry revenue as a whole has been increasing at a CAGR of 11.5% in the last 5 years [6]. While the importance of artists and writers cannot be understated, the advent of digital comics has lessened the reliance on traditional printing suppliers. The diversification of supplier types has therefore balanced the power dynamics, making it neither too high nor too low. Buyers wield considerable power in the comic book industry. The availability of a multitude of publishers and platforms, both traditional and digital, gives consumers a broad array of choices. Additionally, the rise of digital platforms has made it easier for consumers to switch preferences, thereby enhancing buyer power. The comic book industry is fiercely competitive. Established publishers like Marvel and DC Comics vie for market share alongside smaller indie publishers. The emergence of digital platforms such as Webtoon and Tapas has further intensified the competition, as they offer an alternative to traditional publishing routes. The threat of new entrants is moderate to low. Although digital platforms have somewhat lowered the barriers to entry, the high costs associated with publishing, marketing, and distribution are still significant. This makes it challenging for new entrants to establish themselves quickly. The threat of substitution is moderate. While comic books offer a unique form of storytelling, they still compete with other forms of entertainment like video games, movies, and streaming services for consumer attention and spending.

Generative AI in Comic Book Generation: Porter’s Five Forces Analysis

In the realm of generative AI for comic book creation, supplier power is quite high. The specialized skills required for developing AI and machine learning algorithms make those who possess these skills invaluable. Moreover, the data required for training these algorithms is often proprietary, adding another layer of supplier power.  Buyer power in this segment is moderate as the technology is highly specialized, and currently, there are not many alternatives that offer the same level of automation and customization. This limits the ability of buyers to influence price or terms. The field is still nascent, and there are not many companies offering similar AI-powered solutions for comic book creation. However, this could change very quickly as the technology matures. The threat of new entrants is very high. The evolving nature of AI technology means that it’s relatively easier for existing software companies with AI capabilities to pivot into this space. The threat of substitution is low to moderate. While there are other software tools that facilitate comic creation, the level of automation and customization that AI offers is unparalleled. This makes it less likely that a completely different solution could serve as a substitute.

Based on the Porter’s Five Forces analysis, the comic book industry presents a moderately attractive opportunity. While there is strong competition and high buyer power, the barriers to entry are not insurmountable, especially with the advent of digital platforms. The threat of substitution is moderate, indicating that comics hold a unique place in the entertainment sector. As for the generative AI in comic book generation, the industry appears to be highly attractive for new entrants. The competitive rivalry is currently low, and the specialized nature of the technology limits the buyer power and threat of substitution. However, the high supplier power indicates that expertise in AI and machine learning is crucial for success.

Technology Trends

Software tools like Adobe Photoshop and Clip Studio Paint have been industry standards for years, providing a comprehensive suite of features for digital art and comic creation. However, these tools often come with a steep learning curve and a high cost, limiting their accessibility for casual users or those new to the field.

More recently, platforms like Midjourney have started to emerge, offering more streamlined and user-friendly options for digital art creation. However, these platforms often lack the advanced features that professional artists require, creating a gap in the market for a tool that is both powerful and easy to use.

In the realm of AI, OpenAI’s DALL-E has demonstrated the capability to generate high-quality images from textual descriptions, indicating the potential for AI-assisted comic book creation. This technology could revolutionize the way comics are made, automating the illustration process and making it accessible to those without advanced graphic design skills.

The convergence of these technology trends [9]  suggests a ripe opportunity for a platform that can offer the best of both worlds: the advanced features that professional artists require, coupled with the ease-of-use and automation that AI technologies can offer. However, the integration of these technologies comes with its own set of challenges, such as data privacy concerns and the potential for copyright infringement, which will need to be carefully managed.

Regulatory Environment

The regulatory landscape for this venture primarily concerns intellectual property (IP) rights and data privacy, each with its own set of challenges and considerations.

Intellectual Property: The issue of IP is a big issue in the comic book and digital art industry, where creators often find their styles or characters copied without proper attribution or compensation. This resulted in several lawsuits when one publisher sued their competitor for copying the character or style for existing comics. Recent controversies have highlighted the dissatisfaction among authors and artists who feel their intellectual property has been appropriated without due credit. This underscores the need for a robust IP policy within the platform. Guidelines must clearly state the ownership status of content generated using the platform’s AI tools. While the user may own the rights to the final comic output, the underlying AI models and algorithms would remain the property of the platform. To handle this issue before monetizing any content we aim to train our models only on the open-source and freely available data sets for commercial use and also request users to allow us to train on their input data to further enhance data similar to how chatGPT works currently.

Data Privacy: Data privacy is another critical concern, especially given the AI-driven nature of the platform. Compliance with existing data protection regulations such as the General Data Protection Regulation (GDPR) in Europe or the California Consumer Privacy Act (CCPA) in the United States is essential. The platform needs to ensure secure data storage and offer users control over how their data is used.

Competitive Landscape

While there are some experimental platforms dabbling in AI to facilitate aspects of storytelling or illustration, none offer the comprehensive, end-to-end solution that this venture aims to provide. This creates a significant gap in the market, one that combines the advanced features of professional software with the ease and automation that AI technologies can offer.

However, it’s essential to note that the barriers to entry in the AI-assisted comic creation space are relatively low. With the rapid advancements in AI and machine learning technologies, existing software companies with AI capabilities could easily pivot into this market. This makes it crucial for the venture to establish a strong brand and user base quickly to fend off potential competitors.

The venture’s unique proposition lies in its ability to offer a one-stop solution for comic book creation, catering to both professional artists and casual users. By leveraging AI to automate and simplify the process, the platform has the potential to carve out a unique niche in the competitive landscape.

Venture

Team Analysis

For the initial phase of the venture, the focus will be on building a Minimum Viable Product (MVP) that includes a rough draft of the end product and a functional website. The MVP will leverage existing APIs and utilize generative models from Hugging Face, an open-source repository for generative AI, running them locally to mock up the comic creation process. [10]

Given the technical requirements for fine-tuning the AI models and scaling the platform, the first key hire would be an individual with deep expertise in machine learning (ML). This role is critical, as it involves not only the technical development but also staying abreast of emerging technologies in the AI and ML spaces that could be incorporated into the platform’s technology stack.

The second essential role is that of an industry professional with significant experience in the comic book industry. This person would be responsible for providing artistic direction to the venture, ensuring that the platform’s capabilities align with the unique needs and expectations of comic book creators.

Team

Founding Team

Founder

1. Roles: Overall vision, business strategy, MVP development
2. Responsibilities: Initial MVP development, business planning, stakeholder engagement, and fundraising

Machine Learning Expert

1. Roles: Technical lead for AI and ML
2. Responsibilities: Fine-tuning AI models, staying up-to-date with AI/ML advancements, and integrating them into the platform

Industry Professional/Designer

1. Roles: Artistic Director
2. Responsibilities: Guiding the artistic direction, ensuring industry alignment, and advising on user experience

Early Hires

Required Skills and Expertise

1. Front-End Developer: Expertise in modern web technologies to create an intuitive and responsive user interface. Responsible for building and maintaining the user interface, ensuring a seamless user experience.
2. Back-End Developer: Experience in server-side languages and database management to ensure a robust and scalable platform. Responsible for server management, database setup, and ensuring high performance and responsiveness to front-end requests.
3. Data Scientist: Skills in data analysis and user behavior tracking to inform business decisions and improve user experience. Responsible for collecting and analyzing user data to make informed decisions on platform improvements and new features.
4. Marketing and Sales Specialist: Background in digital marketing with a focus on user acquisition and retention. Responsible for developing and executing marketing campaigns, user acquisition, and engagement strategies.
5. (Late) Customer Support Representative: Skills in customer relations and problem-solving to handle user queries and issues. Responsible for handling customer queries, troubleshooting issues, and gathering feedback for continuous improvement.

Market Opportunity

The venture is designed to serve two primary market segments, each with distinct needs and expectations:

1. Comic Industry Professionals: This segment consists of seasoned artists, writers, and publishers who are looking for advanced tools to streamline the comic creation process. They value features that offer a high level of customization and are willing to invest in premium solutions that meet their specific requirements.
2. Average User/Authors: This broader market segment includes casual users, aspiring authors, and content creators who are interested in experimenting with comic creation. While they may not require advanced features, they do value user-friendly tools that can help them produce quality work with relative ease.

Customer Value Proposition (CVP)

The platform aims to bridge the gap between professional and casual users by offering a comprehensive, AI-powered solution for comic book creation. For professionals, the value proposition lies in the platform’s advanced features and customization capabilities. For casual users, the platform offers a streamlined, intuitive experience that lowers the barriers to entry into comic creation.

Market Size and Segmentation

The initial focus will be on the United States and Japan, two significant markets for comic books and digital art. According to Statista, the U.S. comic book market was worth approximately $1.095 billion in 2019, while the Japanese market was valued at around ¥441 billion (approximately $4 billion) in the same year.

These figures indicate a sizable total addressable market, especially when considering the broader category of digital content creation, which extends beyond traditional comic books. Given the platform’s unique value proposition, capturing even a small share of these markets could result in substantial revenue.

Preliminary Tests and Experiments

As of now, no tests or experiments have been conducted, but the following are potential avenues for future investigation:

1. Beta Testing: An early version of the platform could be released to a small group of users from both target segments. This would help gauge the platform’s usability and the effectiveness of its AI algorithms.
2. User Surveys: Surveys could be distributed to potential users to understand their specific needs, pain points, and expectations. This would help in refining the platform’s features and user experience.

Business Model

Go-To-Market Strategy (GTM)

The initial GTM strategy will involve a focused launch targeting the art and literature students and then a select number of industry professionals in the United States and Japan, leveraging social media marketing and partnerships with existing platforms or communities in the comic book and digital art spaces.

The product itself is technically feasible as such product in its rudimentary stage already exists, but is unrefined and presented as a research project in the AI model repository called hugging face

Theories of Market (TOM)

Given the platform’s unique offering, a “Blue Ocean Strategy” could be employed, focusing on creating a new market space rather than competing in an existing one. The venture aims to redefine the boundaries of the comic creation process by integrating AI and machine learning.

Although comic book domain is a great target domain to start with because of proven demand and established structure, other domain also provide lucrative opportunities to expand into such as User generated manuals for self help, cooking , etc [8]

Cost/Funding Framework (CFF)

The initial costs will include development expenses for the MVP, hiring key team members, and marketing expenses for the launch. Funding could come from a mix of venture capital, angel investors, and possibly crowdfunding, depending on the venture’s specific needs and goals.

Financial Projections

Revenue Model

The primary revenue streams would come from subscriptions for premium features and one-time payments for specific services like high-quality downloads. Alternatively we can look to non-intrusive advertising in between comic panels which has worked pretty well in the Japanese comic book applications [8]

Cost Structure

The major costs would involve salaries for the team, cloud computing expenses for running the AI algorithms, and marketing expenses.

Cash Flow Projections

Detailed cash flow projections can only be developed once the MVP is launched and initial user data is available.

Fundraising Strategy

Even with an MVP expected to be built with a polished pitch deck and an updated refined version of this business plan, we will aim to pursue a pre-seed round and then go to the seed round. Since our revenue will be based on selling a freemium version initially we expect to have no revenue until the product is polished enough to be able to sell to professional clients sometime post seed round.

Funding Requirements and Best Choices

Seed Funding

• Estimated Requirement: $1 million

• Best Choice: Angel Investors

• Rationale: At this early stage, the venture primarily needs funding for MVP development and market validation. Angel investors are usually more flexible and may offer valuable mentorship and connections. Their investment could be sufficient for these initial needs without requiring complex equity arrangements.

Series A Funding

• Estimated Requirement: $10 million - $30 million

• Best Choice: Venture Capital (VC)

• Rationale: After validating the MVP and showing some traction, VC funding becomes more attainable and appropriate. VCs can provide the larger sums of money needed for scaling, and they often bring valuable expertise and networks. However, this will mean giving up a significant equity stake.

Implications

• Equity Dilution: Moving from Angel Investors to VCs, we expect more significant equity dilution. This is a trade-off for the larger sums of money and the additional resources that VCs can provide.

• Control and Decision-making: With VC involvement, we may have to make concessions on control, such as giving up board seats or agreeing to specific performance milestones. With a $10-20 million investment, the goal is rapid scaling. We will need to demonstrate significant revenue growth and customer acquisition to justify this valuation.

• Regulatory Compliance: VC funding often comes with more stringent regulatory requirements and due diligence, which may extend the time to close the funding round but provides more structured governance.

Given the technology-heavy and potentially high-growth nature of your venture, this funding roadmap aims to balance the need for significant capital with the desire to maintain as much control and equity as possible, especially in the early stages.

Operations and Growth Strategy

Operational Plan

The initial focus will be on MVP development to validate the product concept and market fit. This involves leveraging existing APIs and generative models for a functional website. Upon successful validation, the next steps will involve scaling the platform’s technical capabilities and expanding the user base.

For this we will build a website with a small backend server that uses the existing openAI endpoints for text to text and text to image integration. This would be easily scalable but limits the control of quality but we should be able to get a good enough model to demonstrate the core features and value proposition of this model.  

We will only pivot to using inhouse models once we have achieved series A funding, after which we will be able to attract highly talented engineers who will be responsible for incorporating the latest AI techniques to improve the working model even further.

Growth Potential

Market Expansion

After achieving initial success, the venture has the potential to expand into other big markets with a strong culture of comics and digital art.

Product Diversification

The platform’s technology allows for various customization options and could be adapted for other formats like graphic novels or even animated tv series, movies, etc .

Scaling Plan

Technological Requirements

As the platform scales, there will be an increasing need for robust cloud infrastructure to handle higher volumes of data and user traffic. Initially we can use OpenAI’s API to achieve the comic generation task, but we will need strong engineering AI background employees to be able to build inhouse solutions that would give us greater control on the usage and quality of the result.

Human Resource Needs

Additional team members will be needed in areas like software development, customer service, and marketing to handle the operational complexities of a growing business. We can expect a lot of issues arising from misuse especially in the data privacy and ethical legal issues that would require hiring a lawyer proficient in the latest technical rules and regulations.

Mitigation of Potential Problems

1. Hiring a RedTeam experts to find potential vulnerabilities is the first step
2. Targeting a consistent steady growth rate over rapid expansion will allow us to scale and manage resources in a controlled manner.
3. Hiring highly skilled engineers will be a top requirement for the first few years and most of the funding would be going in each of their pockets

Exit Strategy

Given the nascent stage of generative AI in the creative industry and the significant growth prospects it offers. Raising capital through an IPO would allow the venture to invest in cutting-edge research and development, which is crucial in a field that is on the cusp of enabling economically feasible video and animation production. This influx of capital could serve as a catalyst to expand the product portfolio beyond comic creation, thereby unlocking new revenue streams and potentially revolutionizing the broader creative industry.

Moreover, maintaining independence is often critical for companies rooted in creativity and free expression. Acquisition, although lucrative, could compromise the original vision of the venture. A case in point is the fate of several smaller gaming companies acquired by larger corporations like EA; many were eventually shut down, their creative energies stifled by the overarching corporate strategy. An IPO, on the other hand, allows for a substantial financial upside without the loss of operational control. It also has the added advantage of elevating the company’s brand, making it easier to attract top talent and strategic partners.

The timeline for such an IPO would be strategically planned to coincide with key developmental milestones. The Series A funding round would focus on immediate scaling needs and proving the business model. Subsequent funding rounds, such as Series B and C, would solidify market leadership and enable further technological advancements. Pre-IPO preparations would commence around two years before the targeted public listing date, involving rigorous financial audits and corporate governance improvements to meet regulatory standards. The goal would be to be IPO-ready by the end of year seven, providing a window of flexibility depending on market conditions.

In summary, an IPO offers the best avenue for raising the significant capital required for R&D, ensuring the venture’s independence and operational control, and positioning it to seize the substantial market opportunities that lie ahead in the rapidly evolving field of generative AI for creative expression.

In conclusion, the creative industry stands on the brink of a transformative era. As each month unfolds, we witness the automation of tasks that once demanded considerable skill and financial resources, drastically reducing barriers to entry. These breakthroughs are not merely incremental but disruptive, offering unprecedented capabilities in content creation. In this dynamic landscape, our venture is more than just a business; it’s a vanguard in the shift towards democratizing creativity. For developers, it’s an arena rife with innovation, and for users, it’s a sandbox for actualizing dreams. As costs plummet and capabilities soar, we find ourselves at a unique intersection where dreams are not just imagined but realized, where ideas are not just penned but brought to life. It’s an exhilarating moment to be part of this industry—a moment that calls for seizing the opportunities that lie ahead. Carpe Diem.

( Disclaimer : The last two dramatic lines are re-written by ChatGPT-4 using my original text and directions and it conveys what I want to say in a manner much better than is possible for me at my current composition skill level )

Cited Data Sources and Evidence

1. AI-Generated Art Won a Prize. Artists Aren’t Happy. - The New York Times
2. Algorithms Can Now Mimic Any Artist. Some Artists Hate It | WIRED
3. How to stylize images using Stable Diffusion AI
4. How Generative AI Is Changing Creative Work
5. Heinz: A.I Ketchup • Ads of the World™ | Part of The Clio Network
6. IBISWorld | Comic Book Publishing in the US
7. Pricing | OpenAI APIs
8. Statista | Publishing industry in Japan 2021
9. Generative Artificial Intelligence (GenAI) Augments Human Capabilities and Possibilities : A Journey into the World of Artificial Generation and Synthetic Creation  DA95-TV May 2023 - Frost & Sullivan
10. AI Comic Factory - a Hugging Face Space by jbilcke-hf