mirror of
https://github.com/invoke-ai/InvokeAI
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eb6e6548ed
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 |
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| .. | ||
| app | ||
| assets | ||
| backend | ||
| configs | ||
| frontend | ||
| invocation_api | ||
| version | ||
| __init__.py | ||
| README | ||
Organization of the source tree: app -- Home of nodes invocations and services assets -- Images and other data files used by InvokeAI backend -- Non-user facing libraries, including the rendering core. configs -- Configuration files used at install and run times frontend -- User-facing scripts, including the CLI and the WebUI version -- Current InvokeAI version string, stored in version/invokeai_version.py