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Remove references to model_records service, change submodel property on ModelInfo to submodel_type to support new params in model manager

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Brandon Rising 2024-02-14 09:36:30 -05:00 committed by psychedelicious
parent 3e82f63c7e
commit 86ac55ab5f
6 changed files with 29 additions and 29 deletions
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2
docs/contributing/MODEL_MANAGER.md
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@ -1627,7 +1627,7 @@ payload=dict(
queue_batch_id=queue_batch_id, queue_batch_id=queue_batch_id,
graph_execution_state_id=graph_execution_state_id, graph_execution_state_id=graph_execution_state_id,
model_key=model_key, model_key=model_key,
submodel=submodel, submodel_type=submodel,
hash=model_info.hash, hash=model_info.hash,
location=str(model_info.location), location=str(model_info.location),
precision=str(model_info.precision), precision=str(model_info.precision),

2
invokeai/app/invocations/latent.py
View File

@ -812,7 +812,7 @@ class LatentsToImageInvocation(BaseInvocation, WithMetadata, WithBoard):
) )
with set_seamless(vae_info.model, self.vae.seamless_axes), vae_info as vae: with set_seamless(vae_info.model, self.vae.seamless_axes), vae_info as vae:
assert isinstance(vae, torch.Tensor) assert isinstance(vae, torch.nn.Module)
latents = latents.to(vae.device) latents = latents.to(vae.device)
if self.fp32: if self.fp32:
vae.to(dtype=torch.float32) vae.to(dtype=torch.float32)

22
invokeai/app/invocations/model.py
View File

@ -18,7 +18,7 @@ from .baseinvocation import (
class ModelInfo(BaseModel): class ModelInfo(BaseModel):
key: str = Field(description="Key of model as returned by ModelRecordServiceBase.get_model()") key: str = Field(description="Key of model as returned by ModelRecordServiceBase.get_model()")
submodel: Optional[SubModelType] = Field(default=None, description="Info to load submodel") submodel_type: Optional[SubModelType] = Field(default=None, description="Info to load submodel")
class LoraInfo(ModelInfo): class LoraInfo(ModelInfo):
@ -110,22 +110,22 @@ class MainModelLoaderInvocation(BaseInvocation):
unet=UNetField( unet=UNetField(
unet=ModelInfo( unet=ModelInfo(
key=key, key=key,
submodel=SubModelType.UNet, submodel_type=SubModelType.UNet,
), ),
scheduler=ModelInfo( scheduler=ModelInfo(
key=key, key=key,
submodel=SubModelType.Scheduler, submodel_type=SubModelType.Scheduler,
), ),
loras=[], loras=[],
), ),
clip=ClipField( clip=ClipField(
tokenizer=ModelInfo( tokenizer=ModelInfo(
key=key, key=key,
submodel=SubModelType.Tokenizer, submodel_type=SubModelType.Tokenizer,
), ),
text_encoder=ModelInfo( text_encoder=ModelInfo(
key=key, key=key,
submodel=SubModelType.TextEncoder, submodel_type=SubModelType.TextEncoder,
), ),
loras=[], loras=[],
skipped_layers=0, skipped_layers=0,
@ -133,7 +133,7 @@ class MainModelLoaderInvocation(BaseInvocation):
vae=VaeField( vae=VaeField(
vae=ModelInfo( vae=ModelInfo(
key=key, key=key,
submodel=SubModelType.Vae, submodel_type=SubModelType.Vae,
), ),
), ),
) )
@ -188,7 +188,7 @@ class LoraLoaderInvocation(BaseInvocation):
output.unet.loras.append( output.unet.loras.append(
LoraInfo( LoraInfo(
key=lora_key, key=lora_key,
submodel=None, submodel_type=None,
weight=self.weight, weight=self.weight,
) )
) )
@ -198,7 +198,7 @@ class LoraLoaderInvocation(BaseInvocation):
output.clip.loras.append( output.clip.loras.append(
LoraInfo( LoraInfo(
key=lora_key, key=lora_key,
submodel=None, submodel_type=None,
weight=self.weight, weight=self.weight,
) )
) )
@ -271,7 +271,7 @@ class SDXLLoraLoaderInvocation(BaseInvocation):
output.unet.loras.append( output.unet.loras.append(
LoraInfo( LoraInfo(
key=lora_key, key=lora_key,
submodel=None, submodel_type=None,
weight=self.weight, weight=self.weight,
) )
) )
@ -281,7 +281,7 @@ class SDXLLoraLoaderInvocation(BaseInvocation):
output.clip.loras.append( output.clip.loras.append(
LoraInfo( LoraInfo(
key=lora_key, key=lora_key,
submodel=None, submodel_type=None,
weight=self.weight, weight=self.weight,
) )
) )
@ -291,7 +291,7 @@ class SDXLLoraLoaderInvocation(BaseInvocation):
output.clip2.loras.append( output.clip2.loras.append(
LoraInfo( LoraInfo(
key=lora_key, key=lora_key,
submodel=None, submodel_type=None,
weight=self.weight, weight=self.weight,
) )
) )

28
invokeai/app/invocations/sdxl.py
View File

@ -43,29 +43,29 @@ class SDXLModelLoaderInvocation(BaseInvocation):
model_key = self.model.key model_key = self.model.key
# TODO: not found exceptions # TODO: not found exceptions
if not context.services.model_records.exists(model_key): if not context.services.model_manager.store.exists(model_key):
raise Exception(f"Unknown model: {model_key}") raise Exception(f"Unknown model: {model_key}")
return SDXLModelLoaderOutput( return SDXLModelLoaderOutput(
unet=UNetField( unet=UNetField(
unet=ModelInfo( unet=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.UNet, submodel_type=SubModelType.UNet,
), ),
scheduler=ModelInfo( scheduler=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.Scheduler, submodel_type=SubModelType.Scheduler,
), ),
loras=[], loras=[],
), ),
clip=ClipField( clip=ClipField(
tokenizer=ModelInfo( tokenizer=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.Tokenizer, submodel_type=SubModelType.Tokenizer,
), ),
text_encoder=ModelInfo( text_encoder=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.TextEncoder, submodel_type=SubModelType.TextEncoder,
), ),
loras=[], loras=[],
skipped_layers=0, skipped_layers=0,
@ -73,11 +73,11 @@ class SDXLModelLoaderInvocation(BaseInvocation):
clip2=ClipField( clip2=ClipField(
tokenizer=ModelInfo( tokenizer=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.Tokenizer2, submodel_type=SubModelType.Tokenizer2,
), ),
text_encoder=ModelInfo( text_encoder=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.TextEncoder2, submodel_type=SubModelType.TextEncoder2,
), ),
loras=[], loras=[],
skipped_layers=0, skipped_layers=0,
@ -85,7 +85,7 @@ class SDXLModelLoaderInvocation(BaseInvocation):
vae=VaeField( vae=VaeField(
vae=ModelInfo( vae=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.Vae, submodel_type=SubModelType.Vae,
), ),
), ),
) )
@ -112,29 +112,29 @@ class SDXLRefinerModelLoaderInvocation(BaseInvocation):
model_key = self.model.key model_key = self.model.key
# TODO: not found exceptions # TODO: not found exceptions
if not context.services.model_records.exists(model_key): if not context.services.model_manager.store.exists(model_key):
raise Exception(f"Unknown model: {model_key}") raise Exception(f"Unknown model: {model_key}")
return SDXLRefinerModelLoaderOutput( return SDXLRefinerModelLoaderOutput(
unet=UNetField( unet=UNetField(
unet=ModelInfo( unet=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.UNet, submodel_type=SubModelType.UNet,
), ),
scheduler=ModelInfo( scheduler=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.Scheduler, submodel_type=SubModelType.Scheduler,
), ),
loras=[], loras=[],
), ),
clip2=ClipField( clip2=ClipField(
tokenizer=ModelInfo( tokenizer=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.Tokenizer2, submodel_type=SubModelType.Tokenizer2,
), ),
text_encoder=ModelInfo( text_encoder=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.TextEncoder2, submodel_type=SubModelType.TextEncoder2,
), ),
loras=[], loras=[],
skipped_layers=0, skipped_layers=0,
@ -142,7 +142,7 @@ class SDXLRefinerModelLoaderInvocation(BaseInvocation):
vae=VaeField( vae=VaeField(
vae=ModelInfo( vae=ModelInfo(
key=model_key, key=model_key,
submodel=SubModelType.Vae, submodel_type=SubModelType.Vae,
), ),
), ),
) )

2
invokeai/backend/model_management/model_manager.py
View File

@ -499,7 +499,7 @@ class ModelManager(object):
model_class=model_class, model_class=model_class,
base_model=base_model, base_model=base_model,
model_type=model_type, model_type=model_type,
submodel=submodel_type, submodel_type=submodel_type,
) )
if model_key not in self.cache_keys: if model_key not in self.cache_keys:

2
pyproject.toml
View File

@ -245,7 +245,7 @@ module = [
"invokeai.app.services.invocation_stats.invocation_stats_default", "invokeai.app.services.invocation_stats.invocation_stats_default",
"invokeai.app.services.model_manager.model_manager_base", "invokeai.app.services.model_manager.model_manager_base",
"invokeai.app.services.model_manager.model_manager_default", "invokeai.app.services.model_manager.model_manager_default",
"invokeai.app.services.model_records.model_records_sql", "invokeai.app.services.model_manager.store.model_records_sql",
"invokeai.app.util.controlnet_utils", "invokeai.app.util.controlnet_utils",
"invokeai.backend.image_util.txt2mask", "invokeai.backend.image_util.txt2mask",
"invokeai.backend.image_util.safety_checker", "invokeai.backend.image_util.safety_checker",