07e55ad387
Uploads store .txt and .caption sidecars as raw bytes, so one can hold invalid UTF-8. The trainer treats any existing sidecar, decodable or not, as an empty tombstone and never falls back to the metadata row for that image. The labeling grid and the dataset summary read an undecodable sidecar as absent instead, so both showed a metadata caption that the run would silently replace with the instance prompt, and counted the image as captioned. Both now track sidecar presence separately, so what the user reviews is what the run trains on. |
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| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_node_prebuilt.py | ||
| install_python_stack.py | ||
| install_sd_cpp_prebuilt.py | ||
| install_whisper_prebuilt.py | ||
| LICENSE.AGPL-3.0 | ||
| MCP.md | ||
| node_prebuilt_pins.json | ||
| package-lock.json | ||
| package.json | ||
| prebuilt_core.py | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||