The new version has serious issues. How could it be called a stable version?

### Custom Node Testing

- [x] I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-with-all-custom-nodes-disabled) if you need help)

### Expected Behavior

After running the workflow multiple times (including the API workflow in the template), the system would unexpectedly shut down. This issue exists in both the stable version and the GitHub version.

### Actual Behavior

After upgrading to the new version of ComfyUI, problems kept arising: After using several workflows, the canvas started flickering and the interface became chaotic. Then, every operation would cause the software to crash. Restarting the software alone was ineffective; it was necessary to restart the computer to reopen it. However, after repeating this process several times, the malfunction would recur. Even more strangely, after the crash, all the software on the computer would become sluggish and even report errors, significantly slowing down the entire system. This update experience was very poor.

### Steps to Reproduce

### Debug Logs

```powershell
py.io.matlab._mio_utils, scipy.io.matlab._streams, scipy.io.matlab._mio5_utils, google._upb._message, h5py._errors, h5py.defs, h5py._objects, h5py.h5, h5py.utils, h5py.h5t, h5py.h5s, h5py.h5ac, h5py.h5p, h5py.h5r, h5py._proxy, h5py._conv, h5py.h5z, h5py.h5a, h5py.h5d, h5py.h5ds, h5py.h5g, h5py.h5i, h5py.h5o, h5py.h5f, h5py.h5fd, h5py.h5pl, h5py.h5l, h5py._selector, jaxlib.cpu_feature_guard, pyarrow.lib, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pyarrow._compute, pandas._libs.ops, numexpr.interpreter, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, kiwisolver._cext, sklearn.__check_build._check_build, lz4._version, lz4.frame._frame, sklearn._cyutility, sklearn.utils._isfinite, sklearn.utils.sparsefuncs_fast, sklearn.utils.murmurhash, sklearn.utils._openmp_helpers, sklearn.metrics.cluster._expected_mutual_info_fast, sklearn.metrics._dist_metrics, sklearn.metrics._pairwise_distances_reduction._datasets_pair, sklearn.utils._cython_blas, sklearn.metrics._pairwise_distances_reduction._base, sklearn.metrics._pairwise_distances_reduction._middle_term_computer, sklearn.utils._heap, sklearn.utils._sorting, sklearn.metrics._pairwise_distances_reduction._argkmin, sklearn.metrics._pairwise_distances_reduction._argkmin_classmode, sklearn.utils._vector_sentinel, sklearn.metrics._pairwise_distances_reduction._radius_neighbors, sklearn.metrics._pairwise_distances_reduction._radius_neighbors_classmode, sklearn.metrics._pairwise_fast, sklearn.preprocessing._csr_polynomial_expansion, sklearn.preprocessing._target_encoder_fast, simsimd, stringzilla, insightface.thirdparty.face3d.mesh.cython.mesh_core_cython, srsly.ujson.ujson, srsly.msgpack._epoch, srsly.msgpack._packer, srsly.msgpack._unpacker, ruamel.yaml.clib._ruamel_yaml, _ruamel_yaml, blis.cy, thinc.backends.cblas, cymem.cymem, preshed.maps, blis.py, thinc.backends.linalg, murmurhash.mrmr, thinc.backends.numpy_ops, thinc.layers.premap_ids, thinc.layers.sparselinear, spacy.symbols, preshed.bloom, spacy.strings, spacy.attrs, spacy.parts_of_speech, spacy.morphology, spacy.lexeme, spacy.tokens.morphanalysis, spacy.tokens.token, spacy.tokens.span, spacy.tokens.span_group, spacy.tokens._retokenize, spacy.tokens.doc, spacy.vectors, spacy.vocab, spacy.training.align, spacy.training.alignment_array, spacy.pipeline._parser_internals.nonproj, spacy.training.example, spacy.training.gold_io, spacy.matcher.levenshtein, spacy.matcher.matcher, spacy.matcher.dependencymatcher, spacy.matcher.phrasematcher, spacy.tokenizer, spacy.pipeline.pipe, spacy.pipeline.trainable_pipe, spacy.pipeline._parser_internals.stateclass, spacy.pipeline._parser_internals.transition_system, spacy.kb.kb, spacy.kb.candidate, spacy.kb.kb_in_memory, spacy.ml.parser_model, thinc.extra.search, spacy.pipeline._parser_internals._beam_utils, spacy.pipeline.transition_parser, spacy.pipeline._parser_internals.arc_eager, spacy.pipeline.dep_parser, spacy.pipeline._edit_tree_internals.edit_trees, spacy.pipeline.tagger, spacy.pipeline.morphologizer, spacy.pipeline._parser_internals.ner, spacy.pipeline.ner, spacy.pipeline.senter, spacy.pipeline.sentencizer, cytoolz.utils, cytoolz.itertoolz, cytoolz.functoolz, cytoolz.dicttoolz, cytoolz.recipes, sklearn.feature_extraction._hashing_fast, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, msgpack._cmsgpack, xxhash._xxhash, lxml._elementpath, lxml.etree, skimage.measure._ccomp, skimage.measure._moments_cy, skimage.measure._find_contours_cy, skimage.measure._marching_cubes_lewiner_cy, PIL._imagingcms, win32file, pycocotools._mask, pywt._extensions._dwt, pywt._extensions._cwt, pywt._extensions._pywt, pywt._extensions._swt, sklearn.utils._fast_dict, sklearn.cluster._hierarchical_fast, sklearn.cluster._k_means_common, sklearn.cluster._k_means_elkan, sklearn.cluster._k_means_lloyd, sklearn.cluster._k_means_minibatch, sklearn.cluster._dbscan_inner, sklearn.neighbors._partition_nodes, sklearn.neighbors._ball_tree, sklearn.neighbors._kd_tree, sklearn.utils.arrayfuncs, sklearn.utils._random, sklearn.utils._seq_dataset, sklearn.linear_model._cd_fast, _loss, sklearn._loss._loss, sklearn.linear_model._sag_fast, sklearn.svm._liblinear, sklearn.svm._libsvm, sklearn.svm._libsvm_sparse, sklearn.utils._weight_vector, sklearn.linear_model._sgd_fast, sklearn.decomposition._online_lda_fast, sklearn.decomposition._cdnmf_fast, sklearn.cluster._hdbscan._tree, sklearn.cluster._hdbscan._linkage, sklearn.cluster._hdbscan._reachability, sklearn._isotonic, sklearn.tree._utils, sklearn.tree._tree, sklearn.tree._partitioner, sklearn.tree._splitter, sklearn.tree._criterion, sklearn.neighbors._quad_tree, sklearn.manifold._barnes_hut_tsne, sklearn.manifold._utils, grpc._cython.cygrpc, PIL._imagingmath (total: 416)
[W611 11:04:38.000000000 AllocatorConfig.cpp:28] Warning: PYTORCH_CUDA_ALLOC_CONF is deprecated, use PYTORCH_ALLOC_CONF instead (function operator ())
```

### Other

_No response_