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Log keyword: No space left on device
A target output disk can have free space while a download cache, temporary directory, container writable layer or another mounted filesystem is full.
Log keyword: MPS backend out of memory
On Apple Silicon, applications, browsers, model weights and tensors share memory resources. Total installed memory is not all available to one generation task.
Log keyword: No module named 'triton'
A missing Python module, a missing Triton dependency and a Windows _fused DLL failure occur at different layers. Upgrading every dependency together is not a targeted repair.
Log keyword: xFormers can't load C++/CUDA extensions
pip can show xFormers as installed while its C++/CUDA extension fails to load or no attention operator supports the input. Package presence and usable GPU kernels are separate checks.
Log keyword: no kernel image is available for execution on the device
This occurs when a GPU operation lacks a compatible compiled kernel. A device may be too new, omitted as an older architecture, or unsupported by a particular extension. It is not the same as running out of VRAM.
Log keyword: Torch not compiled with CUDA enabled
This error can mean a CPU-only Torch build was installed, but it can also come from a node calling CUDA where the selected build or backend cannot provide it.
Log keyword: Value not in list
A saved ckpt_name, lora_name or another selection is absent from the current allowed list. Check the input name first: this validation error can also concern non-file options such as samplers.
Log keyword: No matching distribution found
pip needs a candidate compatible with the requested package/version, Python, operating system, architecture and configured index. No candidate does not necessarily mean that the project does not exist.
Log keyword: expected input
An unexpected channel count or latent dimension calls for checking the model, VAE and latent-construction nodes together. Image and video latents do not all share the same structure.
Log keyword: VAEDecode
Completed sampling still leaves latent data that must be decoded into pixels. A VAE failure after sampling therefore differs from memory exhaustion at the start of sampling.
Log keyword: CUDA out of memory
Identify the stage that requested GPU memory before reducing the workload. Advertised VRAM, weight-file size and the memory available to this particular task are different quantities.
Log keyword: mat1 and mat2 shapes cannot be multiplied
Matrix dimensions help locate a failure during sampling, encoding or adapter use, but one numeric pair does not identify a unique missing model.
Log keyword: Expected all tensors to be on the same device
One operation may receive an image on CUDA and a mask on CPU, or branches on different GPUs. This does not mean the whole application failed to recognize the GPU.
Log keyword: size mismatch
Separate file loading, conditioning, sampling and decoding before changing the environment.
Log keyword: TextEncodeQwenImage21
Check exact class names and graph definitions before treating an embedded subgraph UUID as a missing extension.
Log keyword: No module named safetensors
Distinguish the Python library from the weight file before reinstalling packages or downloading models again.
Log keyword: mediapipe
Installation can fail during resolution, or a completed installation can fail while loading an extension. Read the actual MediaPipe distribution rather than applying a historical constraint to every release.
Log keyword: Descriptors cannot be created directly
Older generated Python message code can conflict with its runtime. Locate the package carrying that code before changing every Protobuf consumer in the environment.
Log keyword: torchscale
Two nodes can require different timm versions. Map the consumers and their supported ranges before deciding whether one environment can serve both.
Log keyword: sensevoice-onnx
A historical setuptools constraint is not a reason to downgrade the whole environment. Establish the installed release and whether the error concerns building or runtime dependencies.
Log keyword: qwen-tts
Separate the node wrapper's requirements from those of the Qwen TTS distribution. A precise project pin is not a recommended shared version for every model.
Log keyword: No module named 'pytorch_lightning'
Different projects and revisions may use different namespaces. Installing either distribution is not automatically sufficient for every consumer, and checkpoint errors are not simply missing-package errors.
Log keyword: No module named 'rotary_embedding_torch'
A missing positional-encoding implementation is not a missing weight file. Once import works, inspect the API and tensor contract used by the actual model.
Log keyword: No module named 'hydra'
Hydra's common distribution name differs from its import name. A missing module and a missing configuration require separate repairs.