fix: Filter non-transformer keys from Z-Image checkpoint state dicts#8918
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lstein merged 3 commits intoinvoke-ai:mainfrom Feb 28, 2026
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Merged Z-Image checkpoints (e.g. models with LoRAs baked in) may bundle text encoder weights (text_encoders.*) or other non-transformer keys alongside the transformer weights. These cause load_state_dict() to fail with strict=True. Instead of disabling strict mode, explicitly whitelist valid ZImageTransformer2DModel key prefixes and discard everything else. Also moves RAM allocation after filtering so it doesn't over-allocate for discarded keys.
Pfannkuchensack
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lstein
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Feb 27, 2026
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Summary
Merged Z-Image checkpoints (e.g. models with LoRAs baked in) may bundle text encoder weights (
text_encoders.*) or other non-transformer keys alongside the transformer weights. These causeload_state_dict()to fail withstrict=True. Instead of disabling strict mode, explicitly whitelist validZImageTransformer2DModelkey prefixes and discard everything else.Also moves RAM allocation after filtering so it doesn't over-allocate for discarded keys.
Related Issues / Discussions
https://discord.com/channels/1020123559063990373/1149510134058471514/1476724553408319650
https://civitai.com/models/2358008/zimage-turbo-badmilk-1968
QA Instructions
text_encoders.*keys)Merge Plan
Checklist
What's Newcopy (if doing a release after this PR)