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

scripts/probe-model.py

@@ -4,20 +4,30 @@
 
 import argparse
 from pathlib import Path
+from typing import get_args
 
+from invokeai.backend.model_hash.model_hash import HASHING_ALGORITHMS
 from invokeai.backend.model_manager import InvalidModelConfigException, ModelProbe
 
+algos = ", ".join(set(get_args(HASHING_ALGORITHMS)))
+
 parser = argparse.ArgumentParser(description="Probe model type")
 parser.add_argument(
     "model_path",
     type=Path,
     nargs="+",
 )
+parser.add_argument(
+    "--hash_algo",
+    type=str,
+    default="blake3",
+    help=f"Hashing algorithm to use (default: blake3), one of: {algos}",
+)
 args = parser.parse_args()
 
 for path in args.model_path:
     try:
-        info = ModelProbe.probe(path)
+        info = ModelProbe.probe(path, hash_algo=args.hash_algo)
         print(f"{path}:{info.model_dump_json(indent=4)}")
     except InvalidModelConfigException as exc:
         print(exc)