mirror of
https://github.com/invoke-ai/InvokeAI
synced 2026-03-18 04:40:22 +01:00
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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| .. | ||
| configure_invokeai.py | ||
| generate_openapi_schema.py | ||
| generate_profile_graphs.sh | ||
| images2prompt.py | ||
| invokeai-cli.py | ||
| invokeai-model-install.py | ||
| invokeai-web.py | ||
| make_models_markdown_table.py | ||
| probe-model.py | ||
| pypi_helper.py | ||
| scan_models_directory.py | ||
| sd-metadata.py | ||
| update_config_docstring.py | ||