9eed2bdfa3
Six review findings across the Images page and model scanning: - The quantized (int8/fp8) load path can only attach LoRA adapters before quantization, but the frontend load request had no loras field, so every generation after such a load was rejected and each reload repeated it. Send the selection with the load. - build_prequant_checkpoint passed no family to the scheme exclusions while recording the family in metadata, so a Qwen int8 artifact baked the short-M text-stream linears and was then rejected wholesale by the loader's family-keyed check. - Registering a bare single-file checkpoint directory produced no On Device row even though the images loader can load it; only its parent worked. Admit that shape when nothing else matched. - Unload left the Reapply target set, so the repair path was skipped and Reapply reloaded the ejected model. Clear it, as the video page does. - Both FLUX.2 bases were trusted for training but not inference, so Deploy to Create rejected every FLUX.2 adapter. - Outpaint allocated the grown canvas before downscaling, exceeding the browser canvas area cap on a large photo; an over-cap canvas is unusable, so Extend silently posted a fully transparent image and mask. Scale the source first. |
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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 | ||