A SafeTensors conversion of the 48-pixel OCR model used by zyddnys/manga-image-translator and BallonsTranslator. The model recognizes cropped comic text lines and also predicts foreground and background colors.
model.safetensors: converted model weightsconfig.json: architecture and decoding configurationalphabet-all-v7.txt: tokenizer alphabet and special-token vocabularyToken IDs are 0 for padding, 1 for beginning-of-sequence, and 2 for end-of-sequence. <SP> represents a space.
The model expects already detected, cropped, and normalized comic text regions. It does not locate text on a page. Recognition quality depends strongly on crop quality, text scale, language coverage in the supplied alphabet, and image degradation. Training data details and evaluation metrics are not included with this conversion.
GPL-3.0, following the upstream manga-image-translator and BallonsTranslator implementations.
A SafeTensors conversion of the 48-pixel OCR model used by zyddnys/manga-image-translator and BallonsTranslator. The model recognizes cropped comic text lines and also predicts foreground and background colors.
model.safetensors: converted model weightsconfig.json: architecture and decoding configurationalphabet-all-v7.txt: tokenizer alphabet and special-token vocabularyToken IDs are 0 for padding, 1 for beginning-of-sequence, and 2 for end-of-sequence. <SP> represents a space.
The model expects already detected, cropped, and normalized comic text regions. It does not locate text on a page. Recognition quality depends strongly on crop quality, text scale, language coverage in the supplied alphabet, and image degradation. Training data details and evaluation metrics are not included with this conversion.
GPL-3.0, following the upstream manga-image-translator and BallonsTranslator implementations.