Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Load non quantized t5encoder using same dtype the model is saved in/ #7140

Merged
merged 2 commits into from
Oct 22, 2024
Merged

Load non quantized t5encoder using same dtype the model is saved in/ #7140

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
1c9fc0a
load t5 model in the same format as it is saved, seems to load as flo…
Vargol Oct 17, 2024
2c1f49e
ruff fix
Vargol Oct 17, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion invokeai/backend/model_manager/load/model_loaders/flux.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -175,7 +175,7 @@ def _load_model(
case SubModelType.Tokenizer2:
return T5Tokenizer.from_pretrained(Path(config.path) / "tokenizer_2", max_length=512)
case SubModelType.TextEncoder2:
return T5EncoderModel.from_pretrained(Path(config.path) / "text_encoder_2")
return T5EncoderModel.from_pretrained(Path(config.path) / "text_encoder_2", torch_dtype="auto")

raise ValueError(
f"Only Tokenizer and TextEncoder submodels are currently supported. Received: {submodel_type.value if submodel_type else 'None'}"
Expand Down
Loading