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⚡️ Speed up method IPAdapterInvocation.get_clip_image_encoder by 7% #149

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⚡️ Speed up method IPAdapterInvocation.get_clip_image_encoder by 7% #149

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41 changes: 21 additions & 20 deletions invokeai/app/invocations/ip_adapter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -208,25 +208,26 @@ def get_clip_image_encoder(
name=image_encoder_model_name, base=BaseModelType.Any, type=ModelType.CLIPVision
)

if not len(image_encoder_models) > 0:
context.logger.warning(
f"The image encoder required by this IP Adapter ({image_encoder_model_name}) is not installed. \
Downloading and installing now. This may take a while."
)

installer = context._services.model_manager.install
# Note: We hard-code the type to CLIPVision here because if the model contains both a CLIPVision and a
# CLIPText model, the probe may treat it as a CLIPText model.
job = installer.heuristic_import(
image_encoder_model_id, ModelRecordChanges(name=image_encoder_model_name, type=ModelType.CLIPVision)
)
installer.wait_for_job(job, timeout=600) # Wait for up to 10 minutes
image_encoder_models = context.models.search_by_attrs(
name=image_encoder_model_name, base=BaseModelType.Any, type=ModelType.CLIPVision
)

if len(image_encoder_models) == 0:
context.logger.error("Error while fetching CLIP Vision Image Encoder")
assert len(image_encoder_models) == 1
if image_encoder_models:
return image_encoder_models[0]

context.logger.warning(
f"The image encoder required by this IP Adapter ({image_encoder_model_name}) is not installed. \
Downloading and installing now. This may take a while."
)

installer = context._services.model_manager.install
job = installer.heuristic_import(
image_encoder_model_id, ModelRecordChanges(name=image_encoder_model_name, type=ModelType.CLIPVision)
)
installer.wait_for_job(job, timeout=600) # Wait for up to 10 minutes

image_encoder_models = context.models.search_by_attrs(
name=image_encoder_model_name, base=BaseModelType.Any, type=ModelType.CLIPVision
)

if not image_encoder_models:
context.logger.error("Error while fetching CLIP Vision Image Encoder")
assert len(image_encoder_models) == 1

return image_encoder_models[0]