Vtubers and AI-Generated Art

LazerTC
5 min readAug 3, 2023

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Image generated by Anything Diffusion

As a big fan of VTubers and a researcher in the AI field, here I wanted to share my perspective on the emerging intersection of VTubers and AI-generated art.

VTubers are heavily dependent on original artwork to bring their virtual personas to life — avatars, Live2D models, video thumbnails, merchandise, and more. Recently, AI tools that can automatically generate images and art have become much more advanced and widely available to the public. Models like DALL-E 2, Stable Diffusion, and others can now create intricate, high-quality artwork based on simple text prompts.

While this new technology is impressive and offers many potential benefits, it also poses risks, especially for the human artists who currently create much of the unique VTuber art content. In this piece, I aim to provide a nuanced take on both the positive capabilities and concerning drawbacks of integrating AI-generated art into the VTuber sphere.

The Potential Upsides of Basic AI Art Tools

I believe entry-level AI art generators like Wombo Dream could be constructively utilized by amateur VTuber fans and aspiring creators to easily mock up character concepts, model sheets, and basic assets. These tools allow people with no artistic skill to quickly visualize and experiment with virtual avatar designs and aesthetics by inputting text prompts. This can help kickstart the VTuber creation process.

AI-assisted art software features in programs like Clip Studio Paint could also help human artists shortcut time-consuming tasks like filling in backgrounds, allowing them to focus their efforts on the creative character illustration work they enjoy. Responsibly integrating basic AI features into existing art software to complement human drawing skills shows promise.

For hobbyists and novices looking to explore the world of VTubers, these user-friendly AI image generators provide an accessible starting point to bring their imagination to life without intensive artistic training. Aspiring VTuber creators can get rapid visual feedback to hone their virtual persona and aesthetics.

Amateur artists can also use AI-generated art as a reference to understand how to illustrate certain poses, perspectives, lighting effects, and compositions. Seeing examples produced algorithmically can supplement artistic knowledge. As long as the AI art is only for educational purposes and not commercial use, this application seems reasonable.

Overall, democratizing basic 2D VTuber character design and asset creation through entry-level AI art tools expands participation in the community to those lacking serious illustration skills. However, it is important to emphasize that these rudimentary AI generators have significant limitations compared to what professional human artists bring to the table.

The Promise and Perils of Advanced AI Art Models

More powerful generative AI art models such as DALL-E 2, Stable Diffusion, and generative adversarial networks (GANs) can autonomously produce staggeringly high-quality, realistic artwork rivaling professional human illustrators. Given an input text prompt, they can render beautifully detailed character art, manga/anime illustrations, backgrounds, textures, and more.

For independent VTubers with limited budgets, such advanced AI art generation could allow rapidly ideating and iterating different avatar looks without costly commissions. A solo creator could explore many variations to perfect their ideal virtual persona. Some VTuber companies are also experimenting with leveraging AI art in their production pipelines to accelerate thumbnail creation and other graphics needs.

However, leaning heavily on advanced generative AI art poses a number of risks. If existing human-created art is used to train AI models without proper permissions, it can infringe on artists’ copyrights and creative ownership. VTuber companies must take care to only use legitimately licensed data. If AI art substantially replaces roles for illustrators, modelers, and other artists, it could severely damage their earning potential within the VTuber industry they helped build.

Overuse of AI generators like DALL-E could undercut artists’ livelihoods. While technically impressive, AI art still often lacks the subtle emotional expressiveness, intentional imperfections, and heart that connect with audiences, especially for a character-driven medium like VTubers. The unique human artistic touch remains irreplaceable.

If VTubers rely only on AI for art, it could make their styles more generic, limiting the diversity of artistic interpretations across creators. Human art brings a wider range of perspectives. As with any AI system, biased data can propagate harmful stereotypes through generated art. Accountability for any problematic content is unclear. VTuber companies must be vigilant about data inputs and filtering outputs.

Advanced AI art models are fundamentally optimized to satisfy the aesthetic preferences encoded in their training data rather than create innovative styles or evoke nuanced emotions. A dependence on AI art risks damaging the rich artistic ecosystem that allows each VTuber to develop a distinctive visual identity that resonates emotionally with their fanbase.

Responsible Applications of AI Art

With care taken to avoid the pitfalls above, selective use of AI-generated art can provide some benefits. As one example, artists could collaborate with advanced generative models like DALL-E 2 to accelerate portions of the workflow — draft character poses and expressions to elaborate on further rather than starting with a blank canvas. The unique creative perspective of the human artist still leads the process, with AI assistance thoughtfully applied.

Independent VTubers with limited funding may also utilize AI art tools judiciously to create draft concepts, while relying on paid commissions for final polished art assets and giving full credit/compensation to any training data sources. Additionally, continuing research into approaches like generative adversarial networks that allow tuning AI outputs to match a given artistic style shows promise for tailored results.

Through considered integration into the creative process as a support rather than replacement for human imagination, advanced AI art techniques could augment VTuber studios’ and artists’ workflows. But human oversight is critical to avoid the AI minimizing costs and maximizing impersonal generative efficiency at the expense of purposeful creative expression.

Collaborative human-AI art platforms that build on artists’ skills while automating rote tasks could empower VTuber illustrators to focus their energy on injecting their unique flair into each commission. For this symbiotic inventiveness to thrive sustainably, studios must compensate creatives fairly for their irreplaceable contributions when using their work to train productivity-enhancing AI tools.

The Importance of Human Creativity

While AI art capabilities are rapidly advancing, human imagination, emotions, and craft still underpin the VTuber art magic that resonates with fans. Audiences connect with the diverse creative viewpoints and personalized details only human artists can deliver through their cultural perspectives. Preserving the human artistic process will remain fundamental to maintaining VTubers’ unique appeal.

Rather than replacing artists, thoughtful integration of AI into the creative toolkit can expand many possibilities. But it is essential that the use of generative models values and empowers the immeasurably talented artists who pour their spirits into every VTuber design. If applied carefully and ethically, AI art tech can ultimately supplement human creativity rather than supplant it.

I look forward to seeing this technology implemented conscientiously to benefit both creators and fans while respecting the indispensable contributions of artists. As we explore the possibilities of AI art, we must remain vigilant about minimizing harm and ensuring ethical practices, while also embracing the tremendous potential it holds

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LazerTC

AI researcher: I would like to share my thoughts on various AI topics