Been thinking of taking a break from Anime generation

A veteran AI artist on Reddit (u/Quick-Decision-8474) has shared frustration about the current state of anime AI generation, contrasting it with the rapid progress of realistic models. They note that on platforms like Civitai, anime outputs are still 99% generic and occasionally buggy, with details, clothing, and backgrounds appearing mediocre unless the image is a close-up. The current model + LoRA workflow for replicating characters is described as a toss-up, with most LoRAs bearing little resemblance to the original, especially for niche characters. The artist wonders if the technology simply isn't ready yet for anime and considers taking a break until there's a breakthrough beyond models like Illustrious.

This sentiment highlights a persistent gap in the generative AI landscape: while photorealistic models have seen massive leaps in fidelity and versatility, anime-specific models remain constrained by smaller training datasets and the unique stylistic complexity of anime. The reliance on LoRA (Low-Rank Adaptation) for character consistency often fails for less popular characters, creating a bottleneck for creators who need high-fidelity outputs. The post resonates with many in the community, suggesting that anime generation may require dedicated architectural innovations—such as better semantic understanding of clothing and backgrounds—to close the gap with realistic models.