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Update t5 encoder formats to accurately reflect the quantization strategy and data type

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Brandon Rising 2024-08-23 15:05:08 -04:00 committed by Brandon
parent 3339a4baf0
commit 101de8c25d
7 changed files with 47 additions and 38 deletions
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11
invokeai/backend/model_manager/config.py
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@ -109,8 +109,7 @@ class ModelFormat(str, Enum):
EmbeddingFolder = "embedding_folder" EmbeddingFolder = "embedding_folder"
InvokeAI = "invokeai" InvokeAI = "invokeai"
T5Encoder = "t5_encoder" T5Encoder = "t5_encoder"
T5Encoder8b = "t5_encoder_8b" BnbQuantizedLlmInt8b = "bnb_quantized_int8b"
T5Encoder4b = "t5_encoder_4b"
BnbQuantizednf4b = "bnb_quantized_nf4b" BnbQuantizednf4b = "bnb_quantized_nf4b"
@ -227,12 +226,12 @@ class T5EncoderConfig(T5EncoderConfigBase):
return Tag(f"{ModelType.T5Encoder.value}.{ModelFormat.T5Encoder.value}") return Tag(f"{ModelType.T5Encoder.value}.{ModelFormat.T5Encoder.value}")
class T5Encoder8bConfig(T5EncoderConfigBase): class T5EncoderBnbQuantizedLlmInt8bConfig(T5EncoderConfigBase):
format: Literal[ModelFormat.T5Encoder8b] = ModelFormat.T5Encoder8b format: Literal[ModelFormat.BnbQuantizedLlmInt8b] = ModelFormat.BnbQuantizedLlmInt8b
@staticmethod @staticmethod
def get_tag() -> Tag: def get_tag() -> Tag:
return Tag(f"{ModelType.T5Encoder.value}.{ModelFormat.T5Encoder8b.value}") return Tag(f"{ModelType.T5Encoder.value}.{ModelFormat.BnbQuantizedLlmInt8b.value}")
class LoRALyCORISConfig(LoRAConfigBase): class LoRALyCORISConfig(LoRAConfigBase):
@ -470,7 +469,7 @@ AnyModelConfig = Annotated[
Annotated[LoRALyCORISConfig, LoRALyCORISConfig.get_tag()], Annotated[LoRALyCORISConfig, LoRALyCORISConfig.get_tag()],
Annotated[LoRADiffusersConfig, LoRADiffusersConfig.get_tag()], Annotated[LoRADiffusersConfig, LoRADiffusersConfig.get_tag()],
Annotated[T5EncoderConfig, T5EncoderConfig.get_tag()], Annotated[T5EncoderConfig, T5EncoderConfig.get_tag()],
Annotated[T5Encoder8bConfig, T5Encoder8bConfig.get_tag()], Annotated[T5EncoderBnbQuantizedLlmInt8bConfig, T5EncoderBnbQuantizedLlmInt8bConfig.get_tag()],
Annotated[TextualInversionFileConfig, TextualInversionFileConfig.get_tag()], Annotated[TextualInversionFileConfig, TextualInversionFileConfig.get_tag()],
Annotated[TextualInversionFolderConfig, TextualInversionFolderConfig.get_tag()], Annotated[TextualInversionFolderConfig, TextualInversionFolderConfig.get_tag()],
Annotated[IPAdapterInvokeAIConfig, IPAdapterInvokeAIConfig.get_tag()], Annotated[IPAdapterInvokeAIConfig, IPAdapterInvokeAIConfig.get_tag()],

26
invokeai/backend/model_manager/load/model_loaders/flux.py
View File

@ -27,22 +27,21 @@ from invokeai.backend.model_manager.config import (
CLIPEmbedDiffusersConfig, CLIPEmbedDiffusersConfig,
MainBnbQuantized4bCheckpointConfig, MainBnbQuantized4bCheckpointConfig,
MainCheckpointConfig, MainCheckpointConfig,
T5Encoder8bConfig, T5EncoderBnbQuantizedLlmInt8bConfig,
T5EncoderConfig, T5EncoderConfig,
VAECheckpointConfig, VAECheckpointConfig,
) )
from invokeai.backend.model_manager.load.load_default import ModelLoader from invokeai.backend.model_manager.load.load_default import ModelLoader
from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
from invokeai.backend.quantization.bnb_llm_int8 import quantize_model_llm_int8
from invokeai.backend.quantization.bnb_nf4 import quantize_model_nf4
from invokeai.backend.util.silence_warnings import SilenceWarnings from invokeai.backend.util.silence_warnings import SilenceWarnings
try: try:
from invokeai.backend.quantization.bnb_llm_int8 import quantize_model_llm_int8
from invokeai.backend.quantization.bnb_nf4 import quantize_model_nf4 from invokeai.backend.quantization.bnb_nf4 import quantize_model_nf4
bnb_nf4_available = True bnb_available = True
except ImportError: except ImportError:
bnb_nf4_available = False bnb_available = False
app_config = get_config() app_config = get_config()
@ -100,8 +99,8 @@ class ClipCheckpointModel(ModelLoader):
) )
@ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.T5Encoder, format=ModelFormat.T5Encoder8b) @ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.T5Encoder, format=ModelFormat.BnbQuantizedLlmInt8b)
class T5Encoder8bCheckpointModel(ModelLoader): class BnbQuantizedLlmInt8bCheckpointModel(ModelLoader):
"""Class to load main models.""" """Class to load main models."""
def _load_model( def _load_model(
@ -109,9 +108,12 @@ class T5Encoder8bCheckpointModel(ModelLoader):
config: AnyModelConfig, config: AnyModelConfig,
submodel_type: Optional[SubModelType] = None, submodel_type: Optional[SubModelType] = None,
) -> AnyModel: ) -> AnyModel:
if not isinstance(config, T5Encoder8bConfig): if not isinstance(config, T5EncoderBnbQuantizedLlmInt8bConfig):
raise ValueError("Only T5Encoder8bConfig models are currently supported here.") raise ValueError("Only T5EncoderBnbQuantizedLlmInt8bConfig models are currently supported here.")
if not bnb_available:
raise ImportError(
"The bnb modules are not available. Please install bitsandbytes if available on your platform."
)
match submodel_type: match submodel_type:
case SubModelType.Tokenizer2: case SubModelType.Tokenizer2:
return T5Tokenizer.from_pretrained(Path(config.path) / "tokenizer_2", max_length=512) return T5Tokenizer.from_pretrained(Path(config.path) / "tokenizer_2", max_length=512)
@ -241,9 +243,9 @@ class FluxBnbQuantizednf4bCheckpointModel(ModelLoader):
flux_conf: Any, flux_conf: Any,
) -> AnyModel: ) -> AnyModel:
assert isinstance(config, MainBnbQuantized4bCheckpointConfig) assert isinstance(config, MainBnbQuantized4bCheckpointConfig)
if not bnb_nf4_available: if not bnb_available:
raise ImportError( raise ImportError(
"The bnb_nf4 module is not available. Please install bitsandbytes if available on your platform." "The bnb modules are not available. Please install bitsandbytes if available on your platform."
) )
model_path = Path(config.path) model_path = Path(config.path)
dataclass_fields = {f.name for f in fields(FluxParams)} dataclass_fields = {f.name for f in fields(FluxParams)}

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

@ -66,7 +66,7 @@ t5_8b_quantized_encoder = StarterModel(
source="InvokeAI/t5-v1_1-xxl::bnb_llm_int8", source="InvokeAI/t5-v1_1-xxl::bnb_llm_int8",
description="T5-XXL text encoder with bitsandbytes LLM.int8() quantization (used in FLUX pipelines). ~5GB", description="T5-XXL text encoder with bitsandbytes LLM.int8() quantization (used in FLUX pipelines). ~5GB",
type=ModelType.T5Encoder, type=ModelType.T5Encoder,
format=ModelFormat.T5Encoder8b, format=ModelFormat.BnbQuantizedLlmInt8b,
) )
clip_l_encoder = StarterModel( clip_l_encoder = StarterModel(

8
invokeai/frontend/web/src/features/modelManagerV2/subpanels/AddModelPanel/StarterModels/StartModelsResultItem.tsx
View File

@ -15,7 +15,13 @@ export const StarterModelsResultItem = memo(({ result }: Props) => {
const _allSources = [ const _allSources = [
{ {
source: result.source, source: result.source,
config: { name: result.name, description: result.description, type: result.type, base: result.base, format: result.format }, config: {
name: result.name,
description: result.description,
type: result.type,
base: result.base,
format: result.format,
},
}, },
]; ];
if (result.dependencies) { if (result.dependencies) {

4
invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/T5EncoderModelFieldInputComponent.tsx
View File

@ -6,7 +6,7 @@ import type { T5EncoderModelFieldInputInstance, T5EncoderModelFieldInputTemplate
import { memo, useCallback } from 'react'; import { memo, useCallback } from 'react';
import { useTranslation } from 'react-i18next'; import { useTranslation } from 'react-i18next';
import { useT5EncoderModels } from 'services/api/hooks/modelsByType'; import { useT5EncoderModels } from 'services/api/hooks/modelsByType';
import type { T5Encoder8bModelConfig, T5EncoderModelConfig } from 'services/api/types'; import type { T5EncoderBnbQuantizedLlmInt8bModelConfig, T5EncoderModelConfig } from 'services/api/types';
import type { FieldComponentProps } from './types'; import type { FieldComponentProps } from './types';
@ -19,7 +19,7 @@ const T5EncoderModelFieldInputComponent = (props: Props) => {
const dispatch = useAppDispatch(); const dispatch = useAppDispatch();
const [modelConfigs, { isLoading }] = useT5EncoderModels(); const [modelConfigs, { isLoading }] = useT5EncoderModels();
const _onChange = useCallback( const _onChange = useCallback(
(value: T5Encoder8bModelConfig | T5EncoderModelConfig | null) => { (value: T5EncoderBnbQuantizedLlmInt8bModelConfig | T5EncoderModelConfig | null) => {
if (!value) { if (!value) {
return; return;
} }

28
invokeai/frontend/web/src/services/api/schema.ts
View File

@ -10797,7 +10797,7 @@ export type components = {
* @description Storage format of model. * @description Storage format of model.
* @enum {string} * @enum {string}
*/ */
ModelFormat: "diffusers" | "checkpoint" | "lycoris" | "onnx" | "olive" | "embedding_file" | "embedding_folder" | "invokeai" | "t5_encoder" | "t5_encoder_8b" | "t5_encoder_4b" | "bnb_quantized_nf4b"; ModelFormat: "diffusers" | "checkpoint" | "lycoris" | "onnx" | "olive" | "embedding_file" | "embedding_folder" | "invokeai" | "t5_encoder" | "bnb_quantized_int8b" | "bnb_quantized_nf4b";
/** ModelIdentifierField */ /** ModelIdentifierField */
ModelIdentifierField: { ModelIdentifierField: {
/** /**
@ -11097,7 +11097,7 @@ export type components = {
* Config Out * Config Out
* @description After successful installation, this will hold the configuration object. * @description After successful installation, this will hold the configuration object.
*/ */
config_out?: (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5Encoder8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"]) | null; config_out?: (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5EncoderBnbQuantizedLlmInt8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"]) | null;
/** /**
* Inplace * Inplace
* @description Leave model in its current location; otherwise install under models directory * @description Leave model in its current location; otherwise install under models directory
@ -11183,7 +11183,7 @@ export type components = {
* Config * Config
* @description The model's config * @description The model's config
*/ */
config: components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5Encoder8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"]; config: components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5EncoderBnbQuantizedLlmInt8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"];
/** /**
* @description The submodel type, if any * @description The submodel type, if any
* @default null * @default null
@ -11204,7 +11204,7 @@ export type components = {
* Config * Config
* @description The model's config * @description The model's config
*/ */
config: components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5Encoder8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"]; config: components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5EncoderBnbQuantizedLlmInt8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"];
/** /**
* @description The submodel type, if any * @description The submodel type, if any
* @default null * @default null
@ -11345,7 +11345,7 @@ export type components = {
*/ */
ModelsList: { ModelsList: {
/** Models */ /** Models */
models: (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5Encoder8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"])[]; models: (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5EncoderBnbQuantizedLlmInt8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"])[];
}; };
/** /**
* Multiply Integers * Multiply Integers
@ -13677,6 +13677,7 @@ export type components = {
name: string; name: string;
base: components["schemas"]["BaseModelType"]; base: components["schemas"]["BaseModelType"];
type: components["schemas"]["ModelType"]; type: components["schemas"]["ModelType"];
format?: components["schemas"]["ModelFormat"] | null;
/** /**
* Is Installed * Is Installed
* @default false * @default false
@ -13695,6 +13696,7 @@ export type components = {
name: string; name: string;
base: components["schemas"]["BaseModelType"]; base: components["schemas"]["BaseModelType"];
type: components["schemas"]["ModelType"]; type: components["schemas"]["ModelType"];
format?: components["schemas"]["ModelFormat"] | null;
/** /**
* Is Installed * Is Installed
* @default false * @default false
@ -14456,8 +14458,8 @@ export type components = {
*/ */
type: "t2i_adapter_output"; type: "t2i_adapter_output";
}; };
/** T5Encoder8bConfig */ /** T5EncoderBnbQuantizedLlmInt8bConfig */
T5Encoder8bConfig: { T5EncoderBnbQuantizedLlmInt8bConfig: {
/** /**
* Key * Key
* @description A unique key for this model. * @description A unique key for this model.
@ -14511,11 +14513,11 @@ export type components = {
type: "t5_encoder"; type: "t5_encoder";
/** /**
* Format * Format
* @default t5_encoder_8b * @default bnb_quantized_int8b
* @constant * @constant
* @enum {string} * @enum {string}
*/ */
format: "t5_encoder_8b"; format: "bnb_quantized_int8b";
}; };
/** T5EncoderConfig */ /** T5EncoderConfig */
T5EncoderConfig: { T5EncoderConfig: {
@ -15807,7 +15809,7 @@ export interface operations {
[name: string]: unknown; [name: string]: unknown;
}; };
content: { content: {
"application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5Encoder8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"]; "application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5EncoderBnbQuantizedLlmInt8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"];
}; };
}; };
/** @description Validation Error */ /** @description Validation Error */
@ -15839,7 +15841,7 @@ export interface operations {
[name: string]: unknown; [name: string]: unknown;
}; };
content: { content: {
"application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5Encoder8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"]; "application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5EncoderBnbQuantizedLlmInt8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"];
}; };
}; };
/** @description Bad request */ /** @description Bad request */
@ -15936,7 +15938,7 @@ export interface operations {
[name: string]: unknown; [name: string]: unknown;
}; };
content: { content: {
"application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5Encoder8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"]; "application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5EncoderBnbQuantizedLlmInt8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"];
}; };
}; };
/** @description Bad request */ /** @description Bad request */
@ -16436,7 +16438,7 @@ export interface operations {
[name: string]: unknown; [name: string]: unknown;
}; };
content: { content: {
"application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5Encoder8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"]; "application/json": components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"] | components["schemas"]["MainBnbQuantized4bCheckpointConfig"] | components["schemas"]["VAEDiffusersConfig"] | components["schemas"]["VAECheckpointConfig"] | components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"] | components["schemas"]["LoRALyCORISConfig"] | components["schemas"]["LoRADiffusersConfig"] | components["schemas"]["T5EncoderConfig"] | components["schemas"]["T5EncoderBnbQuantizedLlmInt8bConfig"] | components["schemas"]["TextualInversionFileConfig"] | components["schemas"]["TextualInversionFolderConfig"] | components["schemas"]["IPAdapterInvokeAIConfig"] | components["schemas"]["IPAdapterCheckpointConfig"] | components["schemas"]["T2IAdapterConfig"] | components["schemas"]["SpandrelImageToImageConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["CLIPEmbedDiffusersConfig"];
}; };
}; };
/** @description Bad request */ /** @description Bad request */

6
invokeai/frontend/web/src/services/api/types.ts
View File

@ -53,7 +53,7 @@ export type IPAdapterModelConfig = S['IPAdapterInvokeAIConfig'] | S['IPAdapterCh
export type T2IAdapterModelConfig = S['T2IAdapterConfig']; export type T2IAdapterModelConfig = S['T2IAdapterConfig'];
type ClipEmbedModelConfig = S['CLIPEmbedDiffusersConfig']; type ClipEmbedModelConfig = S['CLIPEmbedDiffusersConfig'];
export type T5EncoderModelConfig = S['T5EncoderConfig']; export type T5EncoderModelConfig = S['T5EncoderConfig'];
export type T5Encoder8bModelConfig = S['T5Encoder8bConfig']; export type T5EncoderBnbQuantizedLlmInt8bModelConfig = S['T5EncoderBnbQuantizedLlmInt8bConfig'];
export type SpandrelImageToImageModelConfig = S['SpandrelImageToImageConfig']; export type SpandrelImageToImageModelConfig = S['SpandrelImageToImageConfig'];
type TextualInversionModelConfig = S['TextualInversionFileConfig'] | S['TextualInversionFolderConfig']; type TextualInversionModelConfig = S['TextualInversionFileConfig'] | S['TextualInversionFolderConfig'];
type DiffusersModelConfig = S['MainDiffusersConfig']; type DiffusersModelConfig = S['MainDiffusersConfig'];
@ -66,7 +66,7 @@ export type AnyModelConfig =
| ControlNetModelConfig | ControlNetModelConfig
| IPAdapterModelConfig | IPAdapterModelConfig
| T5EncoderModelConfig | T5EncoderModelConfig
| T5Encoder8bModelConfig | T5EncoderBnbQuantizedLlmInt8bModelConfig
| ClipEmbedModelConfig | ClipEmbedModelConfig
| T2IAdapterModelConfig | T2IAdapterModelConfig
| SpandrelImageToImageModelConfig | SpandrelImageToImageModelConfig
@ -96,7 +96,7 @@ export const isT2IAdapterModelConfig = (config: AnyModelConfig): config is T2IAd
export const isT5EncoderModelConfig = ( export const isT5EncoderModelConfig = (
config: AnyModelConfig config: AnyModelConfig
): config is T5EncoderModelConfig | T5Encoder8bModelConfig => { ): config is T5EncoderModelConfig | T5EncoderBnbQuantizedLlmInt8bModelConfig => {
return config.type === 't5_encoder'; return config.type === 't5_encoder';
}; };