Why no video model specializes in anime? Reddit user calls for smaller, focused models
Sora, Seedance, Grok only partially handle anime; realism dominates all video AI.
A Reddit post has sparked debate about the lack of specialized video models for anime-style generation. The user, u/Vi0l3nTz, points out that nearly all current video models—such as OpenAI's Sora, Seedance (from Kakao), and Grok (xAI)—are optimized for cinematic realism. When these models attempt anime, they produce a jarring mix of 3D and realistic textures instead of authentic 2D animation. The user argues that a smaller model like Anima (a hypothetical counterpart to style-specific image models) trained exclusively on anime datasets could reduce computational requirements while better capturing exaggerated facial expressions, traditional animation physics, and 2D motion.
The user laments the lack of open-source alternatives that truly understand anime aesthetics. They recall that Sora was initially the best for anime video, and now Seedance is the closest, while Grok lags behind. They propose shifting from massive all-in-one models to smaller, style-specialized models, suggesting this could be more efficient and effective. However, they admit uncertainty about whether anime generation is inherently harder or more costly than realism. The post has resonated with the AI art community, highlighting a gap in the market for niche video generation tools.
- Most video models (Sora, Seedance, Grok) focus on realism and produce poor anime results with a 3D-realistic hybrid look.
- The user proposes smaller, specialized models trained on pure anime datasets to reduce compute and improve 2D expression handling.
- Open-source anime video models are virtually nonexistent, while proprietary models like Seedance offer the closest approximation.
Why It Matters
For creators, specialized anime models could enable faster, cheaper, and higher-quality 2D animation without realism bias.