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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| .. | ||
| embeddings | ||
| image_util | ||
| install | ||
| ip_adapter | ||
| model_hash | ||
| model_manager | ||
| onnx | ||
| stable_diffusion | ||
| tiles | ||
| training | ||
| util | ||
| __init__.py | ||
| lora.py | ||
| model_patcher.py | ||
| raw_model.py | ||
| textual_inversion.py | ||