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feat(nodes): add version to node schemas

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The `@invocation` decorator is extended with an optional `version` arg. On execution of the decorator, the version string is parsed using the `semver` package (this was an indirect dependency and has been added to `pyproject.toml`).

All built-in nodes are set with `version="1.0.0"`.

The version is added to the OpenAPI Schema for consumption by the client.
This commit is contained in:
psychedelicious
2023-09-04 18:11:56 +10:00
parent 59cb6305b9
commit d9148fb619
19 changed files with 139 additions and 71 deletions
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10
invokeai/app/invocations/model.py
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@ -73,7 +73,7 @@ class LoRAModelField(BaseModel):
base_model: BaseModelType = Field(description="Base model")
@invocation("main_model_loader", title="Main Model", tags=["model"], category="model")
@invocation("main_model_loader", title="Main Model", tags=["model"], category="model", version="1.0.0")
class MainModelLoaderInvocation(BaseInvocation):
"""Loads a main model, outputting its submodels."""
@ -173,7 +173,7 @@ class LoraLoaderOutput(BaseInvocationOutput):
clip: Optional[ClipField] = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP")
@invocation("lora_loader", title="LoRA", tags=["model"], category="model")
@invocation("lora_loader", title="LoRA", tags=["model"], category="model", version="1.0.0")
class LoraLoaderInvocation(BaseInvocation):
"""Apply selected lora to unet and text_encoder."""
@ -244,7 +244,7 @@ class SDXLLoraLoaderOutput(BaseInvocationOutput):
clip2: Optional[ClipField] = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP 2")
@invocation("sdxl_lora_loader", title="SDXL LoRA", tags=["lora", "model"], category="model")
@invocation("sdxl_lora_loader", title="SDXL LoRA", tags=["lora", "model"], category="model", version="1.0.0")
class SDXLLoraLoaderInvocation(BaseInvocation):
"""Apply selected lora to unet and text_encoder."""
@ -338,7 +338,7 @@ class VaeLoaderOutput(BaseInvocationOutput):
vae: VaeField = OutputField(description=FieldDescriptions.vae, title="VAE")
@invocation("vae_loader", title="VAE", tags=["vae", "model"], category="model")
@invocation("vae_loader", title="VAE", tags=["vae", "model"], category="model", version="1.0.0")
class VaeLoaderInvocation(BaseInvocation):
"""Loads a VAE model, outputting a VaeLoaderOutput"""
@ -376,7 +376,7 @@ class SeamlessModeOutput(BaseInvocationOutput):
vae: Optional[VaeField] = OutputField(description=FieldDescriptions.vae, title="VAE")
@invocation("seamless", title="Seamless", tags=["seamless", "model"], category="model")
@invocation("seamless", title="Seamless", tags=["seamless", "model"], category="model", version="1.0.0")
class SeamlessModeInvocation(BaseInvocation):
"""Applies the seamless transformation to the Model UNet and VAE."""