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fix(mm): handle integer state dict keys in probe

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It's possible for a model's state dict to have integer keys, though we do not actually support such models.

As part of probing, we call `key.startswith(...)` on the state dict keys. This raises an `AttributeError` for integer keys.

This logic is in `invokeai/backend/model_manager/probe.py:get_model_type_from_checkpoint`

To fix this, we can cast the keys to strings first. The models w/ integer keys will still fail to be probed, but we'll get a `InvalidModelConfigException` instead of `AttributeError`.

Closes #6044
This commit is contained in:
psychedelicious
2024-03-26 08:43:54 +11:00
parent 9b9b7a7071
commit 243de683d7
1 changed files with 2 additions and 2 deletions
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4
invokeai/backend/model_manager/probe.py
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@ -28,7 +28,7 @@ from .config import (
) )
from .util.model_util import lora_token_vector_length, read_checkpoint_meta from .util.model_util import lora_token_vector_length, read_checkpoint_meta
CkptType = Dict[str, Any] CkptType = Dict[str | int, Any]
LEGACY_CONFIGS: Dict[BaseModelType, Dict[ModelVariantType, Union[str, Dict[SchedulerPredictionType, str]]]] = { LEGACY_CONFIGS: Dict[BaseModelType, Dict[ModelVariantType, Union[str, Dict[SchedulerPredictionType, str]]]] = {
BaseModelType.StableDiffusion1: { BaseModelType.StableDiffusion1: {
@ -219,7 +219,7 @@ class ModelProbe(object):
ckpt = checkpoint if checkpoint else read_checkpoint_meta(model_path, scan=True) ckpt = checkpoint if checkpoint else read_checkpoint_meta(model_path, scan=True)
ckpt = ckpt.get("state_dict", ckpt) ckpt = ckpt.get("state_dict", ckpt)
for key in ckpt.keys(): for key in [str(k) for k in ckpt.keys()]:
if any(key.startswith(v) for v in {"cond_stage_model.", "first_stage_model.", "model.diffusion_model."}): if any(key.startswith(v) for v in {"cond_stage_model.", "first_stage_model.", "model.diffusion_model."}):
return ModelType.Main return ModelType.Main
elif any(key.startswith(v) for v in {"encoder.conv_in", "decoder.conv_in"}): elif any(key.startswith(v) for v in {"encoder.conv_in", "decoder.conv_in"}):