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Distributed on September 28, 2026 22:10 GMT. The press release has been online for 1 day and 21 hours now.
Title: 14 words, 107 characters
PixAI Releases Tsubaki.3 and Publishes Technical Report on Preserving Style Diversity in AI-Generated Anime
Text: 749 words, 5085 characters
In-house foundation model covers illustration, manga pages, and video; PixAI also open-sources Tagger 1.0 for the anime research community NEW YORK CITY, NY, UNITED STATES, September 28, 2026 /EINPresswire.com/ -- PixAI, the anime-focused AI creation …
Keyword Anchor Text Links: 3 links
Other Links: 8 links
Embedded Images: 5 images
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Tsubaki.3 is here
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Tsubaki.3 is here: from character design to manga and posters, all in one place
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Tsubaki.3 is here: from character design to manga and posters, all in one place
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Tsubaki.3 Tech Report Abstract
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PixAI Tsubaki.3 Tech Report Abstract
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PixAI Tsubaki.3 Tech Report Abstract
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Tsubaki.3 Tech Report In-Context Generation
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PixAI Tsubaki.3 Tech Report In-Context Generation
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PixAI Tsubaki.3 Tech Report In-Context Generation. Sample Instruction · Generate a manga page using the panel layout and both character references.
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PixAI Tsuabki.3 Tech Report: reinforcement learning - Stage 1: multi-task correctness
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PixAI Tsuabki.3 Tech Report: reinforcement learning - Stage 1: multi-task correctness
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PixAI Tsuabki.3 Tech Report: reinforcement learning - Stage 1: multi-task correctness. What Stage 1 changes, in pixels. Four fixed prompts, each rendered by the SFT checkpoint (left of each pair, errors circled in red) and after correctness RL (right). S
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pixai-tsubaki3-post-training-checkpoint-path
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Each point is a Tsubaki.3 training checkpoint, scored on image quality and aesthetics (horizontal) and concept coverage and correctness (vertical). Aesthetic post-training recovers the visual quality lost during correctness training while keeping correctn
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Scatter chart of Tsubaki.3 training checkpoints plotted by image quality and aesthetics against concept coverage and correctness. A line connects four stages in order: pretraining, supervised fine-tuning, correctness reinforcement learning, and aesthetic
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