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- The image and video load guards read is_active() and only then selected an engine, acquired the arbiter and registered the load. A /train/diffusion/start reserving inside that window freed residents the load had not registered yet, so the trainer came up beside a brand-new pipeline. The service already had exactly the right pattern for this in dataset_mutation, so gpu_load_admission mirrors it: reserve() refuses while an admission is open, an admission refuses once a start is reserved, both decided under the one lock. The span is only the registration, since begin_load returns as soon as the load is registered and _free_gpu_for_diffusion_training preempts an in-flight load from that point. Chat is deliberately not covered: its load spans an eviction plus a multi-minute GGUF load, and it admits models that fit beside training by design, which is a different contract from the diffusion pipeline's all-or-nothing one. - Hugging Face gives the LTX-2 family the image-to-video pipeline_tag (both Lightricks/LTX-2 and unsloth/LTX-2.3-GGUF report it), so a text-to-video-only filter dropped the flagship audio family out of Video Hub search while the rest of the app routed it to Video. - Task-scoped quant fit sized picks against the LARGEST visible device while resolve_diffusion_device_target returns a bare "cuda" and torch places on the current one. On a heterogeneous host that recommended a checkpoint sized for the bigger card and then loaded it onto the smaller one. Fit now uses the device the load actually lands on; identical on a homogeneous host. |
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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 | ||