psychedelicious eb6e6548ed feat(mm): faster hashing for spinning disk HDDs ... BLAKE3 has poor performance on spinning disks when parallelized. See https://github.com/BLAKE3-team/BLAKE3/issues/31 - Replace `skip_model_hash` setting with `hashing_algorithm`. Any algorithm we support is accepted. - Add `random` algorithm: hashes a UUID with BLAKE3 to create a random "hash". Equivalent to the previous skip functionality. - Add `blake3_single` algorithm: hashes on a single thread using BLAKE3, fixes the aforementioned performance issue - Update model probe to accept the algorithm to hash with as an optional arg, defaulting to `blake3` - Update all calls of the probe to use the app's configured hashing algorithm - Update an external script that probes models - Update tests - Move ModelHash into its own module to avoid circuclar import issues		2024-03-14 15:54:42 +11:00
..
__init__.py	Remove civit AI model install resources	2024-03-08 13:59:59 +11:00
model_install_base.py	ui consistency, moved is_diffusers logic to backend, extended HuggingFaceMetadata, removed logic from service	2024-03-13 21:02:29 +11:00
model_install_default.py	feat(mm): faster hashing for spinning disk HDDs	2024-03-14 15:54:42 +11:00