Route on-device single-checkpoint video folders through the single_file loader: a bare local .safetensors directory (no model_index.json) is advertised as a pipeline with no filename, so validation rejected it before it could load. Reinterpret the pick as a single_file load of the sole checkpoint, mirroring the image load route. Treat a reserved-but-not-yet-spawned LLM training start as active in is_training_active() so /images/load, /video/load, and /diffusion/start cannot race the reserved run for VRAM during the pre-spawn free window. Mirrors the diffusion training service reservation. Resume an in-flight image generation on the Images page mount: probe generate-progress, re-enter the poll loop, and refresh the gallery on completion so a run started elsewhere is reflected and its saved image appears without a manual refresh. Seed resident image defaults from the resolved base_repo rather than a possibly path-shaped repo_id so the first resident generation uses the right recipe. |
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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 | ||
| LICENSE.AGPL-3.0 | ||
| node_prebuilt_pins.json | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||