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Kasstilion8 days ago

Hi! I have new logs:

[Thaluna] Starting... HOME=C:\Users\Антон

[Thaluna] Non-ASCII username detected, using safe path: C:\Users\Public\Thaluna

[Thaluna] Paddle models: C:\Users\Public\Thaluna\.paddleocr

[Thaluna] Models OK.

main.py:977: DeprecationWarning: Enum value 'Qt::ApplicationAttribute.AA_EnableHighDpiScaling' is marked as deprecated, please check the documentation for more information.

main.py:978: DeprecationWarning: Enum value 'Qt::ApplicationAttribute.AA_UseHighDpiPixmaps' is marked as deprecated, please check the documentation for more information.

[Thaluna] Starting... HOME=C:\Users\Антон

[Thaluna] Non-ASCII username detected, using safe path: C:\Users\Public\Thaluna

[Thaluna] Paddle models: C:\Users\Public\Thaluna\.paddleocr

torch\cuda\__init__.py:287: UserWarning:

NVIDIA GeForce RTX 5060 Laptop GPU with CUDA capability sm_120 is not compatible with the current PyTorch installation.

The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90 compute_37.

If you want to use the NVIDIA GeForce RTX 5060 Laptop GPU GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

  warnings.warn(

2026-02-08 18:15:55.442 | INFO     | manga_ocr.ocr:__init__:16 - Loading OCR model from C:\Thaluna\_internal\models\manga-ocr\manga-ocr-base

2026-02-08 18:15:55.722 | INFO     | manga_ocr.ocr:__init__:22 - Using CUDA

...

FATAL: kernel `fmha_cutlassF_f32_aligned_64x64_rf_sm80` is for sm80-sm100, but was built for sm37

...

2026-02-08 18:16:07.027 | INFO     | manga_ocr.ocr:__init__:35 - OCR ready

Pre-warming default models...

[DEBUG] OCR init: lang=en, gpu=True, models=OK

paddle\utils\cpp_extension\extension_utils.py:711: UserWarning: No ccache found. Please be aware that recompiling all source files may be required. You can download and install ccache from: https://github.com/ccache/ccache/blob/master/doc/INSTALL.md

C:\Thaluna\_internal\paddleocr\ppocr\postprocess\rec_postprocess.py:1229: SyntaxWarning: invalid escape sequence '\W'

  noletter = "[\W_^\d]"

C:\Thaluna\_internal\paddleocr\ppocr\postprocess\rec_postprocess.py:1455: SyntaxWarning: invalid escape sequence '\W'

  noletter = "[\W_^\d]"

[2026/02/08 18:16:08] ppocr WARNING: The first GPU is used for inference by default, GPU ID: 0

Pre-warming complete.

Reply
Kasstilion8 days ago (1 edit)

The program has started, but it still doesn't work.

FATAL: kernel `fmha_cutlassF_f32_aligned_64x64_rf_sm80` is for sm80-sm100, but was built for sm37
Repeated too many times.

The program does not read the text in the selected area or reads it incorrectly.

Reply
Thaluna.Dev8 days ago (1 edit)

Hi! Honestly, those logs were a goldmine, thank you so much for sending them. We finally caught the culprit.

Good news first: the path issue is officially dead. I could see in the logs that Thaluna successfully switched to the safe path: C:\Users\Public\Thaluna. So the Cyrillic username problem is gone for good 👍

The only thing left is your GPU. Since the RTX 5060 is so brand new (Blackwell), the current OCR engine just doesn't know how to talk to it yet. That's why you're seeing those "fatal kernel" errors , it's trying to use tools that don't exist for your card.

Here’s how to get it working right now:

  1. Grab the latest Diagnostic build I just uploaded to Itch This one includes an additional fix:
    Manga Mode now correctly respects the OCR Device setting and will stay on CPU instead of trying to use CUDA automatically. This prevents unnecessary GPU initialization on very new GPUs like the RTX 5060.
  2. Force it to CPU: Go into Settings -> Performance and set both OCR Device and Translation Device to CPU.
  3. Save and restart.

If the UI gives you any trouble, you can just open Thaluna_internal\config.json and manually change both devices to "cpu".

Since CPU translation can be a bit slow, I really recommend using Ollama. Your 5060 is a beast, and Ollama will use it perfectly for translation, even if the OCR is stuck on the CPU for now. I made a quick guide on how to set it up here:

  • https://www.youtube.com/watch?v=_9PjiXKfxUY

    Give it a shot and let me know if it finally starts reading text for you.

    • Reply
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