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Merge branch 'main' into minimapcontrol

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blessedcoolant
2023-07-18 16:25:49 +12:00
committed by GitHub
parent 6c03d9f8f2 f287c0174b
commit 6e40b543cd
28 changed files with 2735 additions and 79 deletions
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199
invokeai/frontend/web/dist/assets/App-196ba8f8.js vendored Normal file
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invokeai/frontend/web/dist/assets/MantineProvider-52361224.js vendored Normal file
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8
invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx
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@@ -14,6 +14,14 @@ export const clipSkipMap = {
maxClip: 24,
markers: [0, 1, 2, 3, 5, 10, 15, 20, 24],
},
sdxl: {
maxClip: 24,
markers: [0, 1, 2, 3, 5, 10, 15, 20, 24],
},
'sdxl-refiner': {
maxClip: 24,
markers: [0, 1, 2, 3, 5, 10, 15, 20, 24],
},
};
export default function ParamClipSkip() {

2
invokeai/frontend/web/src/features/parameters/types/constants.ts
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@@ -1,4 +1,6 @@
export const MODEL_TYPE_MAP = {
'sd-1': 'Stable Diffusion 1.x',
'sd-2': 'Stable Diffusion 2.x',
sdxl: 'Stable Diffusion XL',
'sdxl-refiner': 'Stable Diffusion XL Refiner',
};

2
invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
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@@ -126,7 +126,7 @@ export type HeightParam = z.infer<typeof zHeight>;
export const isValidHeight = (val: unknown): val is HeightParam =>
zHeight.safeParse(val).success;
const zBaseModel = z.enum(['sd-1', 'sd-2']);
const zBaseModel = z.enum(['sd-1', 'sd-2', 'sdxl', 'sdxl-refiner']);
export type BaseModelParam = z.infer<typeof zBaseModel>;

14
invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/ScanAdvancedAddModels.tsx
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@@ -19,18 +19,16 @@ export default function ScanAdvancedAddModels() {
const [advancedAddMode, setAdvancedAddMode] =
useState<ManualAddMode>('diffusers');
const [isCheckpoint, setIsCheckpoint] = useState(
advancedAddScanModel &&
['.ckpt', '.safetensors', '.pth', '.pt'].some((ext) =>
advancedAddScanModel.endsWith(ext)
)
);
const [isCheckpoint, setIsCheckpoint] = useState<boolean>(true);
useEffect(() => {
isCheckpoint
advancedAddScanModel &&
['.ckpt', '.safetensors', '.pth', '.pt'].some((ext) =>
advancedAddScanModel.endsWith(ext)
)
? setAdvancedAddMode('checkpoint')
: setAdvancedAddMode('diffusers');
}, [setAdvancedAddMode, isCheckpoint]);
}, [advancedAddScanModel, setAdvancedAddMode, isCheckpoint]);
const dispatch = useAppDispatch();

10
invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx
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@@ -58,10 +58,10 @@ export default function MergeModelsPanel() {
}, [sd1DiffusersModels, sd2DiffusersModels]);
const [modelOne, setModelOne] = useState<string | null>(
Object.keys(modelsMap[baseModel])[0]
Object.keys(modelsMap[baseModel as keyof typeof modelsMap])[0]
);
const [modelTwo, setModelTwo] = useState<string | null>(
Object.keys(modelsMap[baseModel])[1]
Object.keys(modelsMap[baseModel as keyof typeof modelsMap])[1]
);
const [modelThree, setModelThree] = useState<string | null>(null);
@@ -89,9 +89,9 @@ export default function MergeModelsPanel() {
modelsMap[baseModel as keyof typeof modelsMap]
).filter((model) => model !== modelOne && model !== modelThree);
const modelThreeList = Object.keys(modelsMap[baseModel]).filter(
(model) => model !== modelOne && model !== modelTwo
);
const modelThreeList = Object.keys(
modelsMap[baseModel as keyof typeof modelsMap]
).filter((model) => model !== modelOne && model !== modelTwo);
const handleBaseModelChange = (v: string) => {
setBaseModel(v as BaseModelType);

17
invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx
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@@ -1,4 +1,4 @@
import { Divider, Flex, Text } from '@chakra-ui/react';
import { Badge, Divider, Flex, Text } from '@chakra-ui/react';
import { useForm } from '@mantine/form';
import { makeToast } from 'app/components/Toaster';
import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
@@ -115,7 +115,20 @@ export default function CheckpointModelEdit(props: CheckpointModelEditProps) {
{MODEL_TYPE_MAP[model.base_model]} Model
</Text>
</Flex>
<ModelConvert model={model} />
{!['sdxl', 'sdxl-refiner'].includes(model.base_model) ? (
<ModelConvert model={model} />
) : (
<Badge
sx={{
p: 2,
borderRadius: 4,
bg: 'error.200',
_dark: { bg: 'error.400' },
}}
>
Conversion Not Supported
</Badge>
)}
</Flex>
<Divider />

2
invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/shared/BaseModelSelect.tsx
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@@ -8,6 +8,8 @@ import { useTranslation } from 'react-i18next';
const baseModelSelectData: IAISelectDataType[] = [
{ value: 'sd-1', label: MODEL_TYPE_MAP['sd-1'] },
{ value: 'sd-2', label: MODEL_TYPE_MAP['sd-2'] },
{ value: 'sdxl', label: MODEL_TYPE_MAP['sdxl'] },
{ value: 'sdxl-refiner', label: MODEL_TYPE_MAP['sdxl-refiner'] },
];
type BaseModelSelectProps = Omit<IAISelectProps, 'data'>;

691
invokeai/frontend/web/src/services/api/schema.d.ts vendored
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@@ -316,7 +316,7 @@ export type components = {
* @description An enumeration.
* @enum {string}
*/
BaseModelType: "sd-1" | "sd-2";
BaseModelType: "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
/** BoardChanges */
BoardChanges: {
/**
@@ -1219,7 +1219,7 @@ export type components = {
* @description The nodes in this graph
*/
nodes?: {
[key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["RealESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
[key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["RealESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
};
/**
* Edges
@@ -1262,7 +1262,7 @@ export type components = {
* @description The results of node executions
*/
results: {
[key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
[key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
};
/**
* Errors
@@ -2060,6 +2060,12 @@ export type components = {
* @default false
*/
tiled?: boolean;
/**
* Fp32
* @description Decode in full precision
* @default false
*/
fp32?: boolean;
};
/**
* ImageUrlsDTO
@@ -2515,6 +2521,12 @@ export type components = {
* @default false
*/
tiled?: boolean;
/**
* Fp32
* @description Decode in full precision
* @default false
*/
fp32?: boolean;
/**
* Metadata
* @description Optional core metadata to be written to the image
@@ -3335,7 +3347,7 @@ export type components = {
/** ModelsList */
ModelsList: {
/** Models */
models: (components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"])[];
models: (components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
};
/**
* MultiplyInvocation
@@ -3763,6 +3775,56 @@ export type components = {
*/
prompt: string;
};
/**
* PromptsFromFileInvocation
* @description Loads prompts from a text file
*/
PromptsFromFileInvocation: {
/**
* Id
* @description The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Is Intermediate
* @description Whether or not this node is an intermediate node.
* @default false
*/
is_intermediate?: boolean;
/**
* Type
* @default prompt_from_file
* @enum {string}
*/
type?: "prompt_from_file";
/**
* File Path
* @description Path to prompt text file
*/
file_path: string;
/**
* Pre Prompt
* @description String to prepend to each prompt
*/
pre_prompt?: string;
/**
* Post Prompt
* @description String to append to each prompt
*/
post_prompt?: string;
/**
* Start Line
* @description Line in the file to start start from
* @default 1
*/
start_line?: number;
/**
* Max Prompts
* @description Max lines to read from file (0=all)
* @default 1
*/
max_prompts?: number;
};
/**
* RandomIntInvocation
* @description Outputs a single random integer.
@@ -4024,6 +4086,533 @@ export type components = {
* @enum {string}
*/
ResourceOrigin: "internal" | "external";
/**
* SDXLCompelPromptInvocation
* @description Parse prompt using compel package to conditioning.
*/
SDXLCompelPromptInvocation: {
/**
* Id
* @description The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Is Intermediate
* @description Whether or not this node is an intermediate node.
* @default false
*/
is_intermediate?: boolean;
/**
* Type
* @default sdxl_compel_prompt
* @enum {string}
*/
type?: "sdxl_compel_prompt";
/**
* Prompt
* @description Prompt
* @default
*/
prompt?: string;
/**
* Style
* @description Style prompt
* @default
*/
style?: string;
/**
* Original Width
* @default 1024
*/
original_width?: number;
/**
* Original Height
* @default 1024
*/
original_height?: number;
/**
* Crop Top
* @default 0
*/
crop_top?: number;
/**
* Crop Left
* @default 0
*/
crop_left?: number;
/**
* Target Width
* @default 1024
*/
target_width?: number;
/**
* Target Height
* @default 1024
*/
target_height?: number;
/**
* Clip1
* @description Clip to use
*/
clip1?: components["schemas"]["ClipField"];
/**
* Clip2
* @description Clip to use
*/
clip2?: components["schemas"]["ClipField"];
};
/**
* SDXLLatentsToLatentsInvocation
* @description Generates latents from conditionings.
*/
SDXLLatentsToLatentsInvocation: {
/**
* Id
* @description The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Is Intermediate
* @description Whether or not this node is an intermediate node.
* @default false
*/
is_intermediate?: boolean;
/**
* Type
* @default l2l_sdxl
* @enum {string}
*/
type?: "l2l_sdxl";
/**
* Positive Conditioning
* @description Positive conditioning for generation
*/
positive_conditioning?: components["schemas"]["ConditioningField"];
/**
* Negative Conditioning
* @description Negative conditioning for generation
*/
negative_conditioning?: components["schemas"]["ConditioningField"];
/**
* Noise
* @description The noise to use
*/
noise?: components["schemas"]["LatentsField"];
/**
* Steps
* @description The number of steps to use to generate the image
* @default 10
*/
steps?: number;
/**
* Cfg Scale
* @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt
* @default 7.5
*/
cfg_scale?: number | (number)[];
/**
* Scheduler
* @description The scheduler to use
* @default euler
* @enum {string}
*/
scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
/**
* Unet
* @description UNet submodel
*/
unet?: components["schemas"]["UNetField"];
/**
* Latents
* @description Initial latents
*/
latents?: components["schemas"]["LatentsField"];
/**
* Denoising Start
* @default 0
*/
denoising_start?: number;
/**
* Denoising End
* @default 1
*/
denoising_end?: number;
};
/**
* SDXLModelLoaderInvocation
* @description Loads an sdxl base model, outputting its submodels.
*/
SDXLModelLoaderInvocation: {
/**
* Id
* @description The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Is Intermediate
* @description Whether or not this node is an intermediate node.
* @default false
*/
is_intermediate?: boolean;
/**
* Type
* @default sdxl_model_loader
* @enum {string}
*/
type?: "sdxl_model_loader";
/**
* Model
* @description The model to load
*/
model: components["schemas"]["MainModelField"];
};
/**
* SDXLModelLoaderOutput
* @description SDXL base model loader output
*/
SDXLModelLoaderOutput: {
/**
* Type
* @default sdxl_model_loader_output
* @enum {string}
*/
type?: "sdxl_model_loader_output";
/**
* Unet
* @description UNet submodel
*/
unet?: components["schemas"]["UNetField"];
/**
* Clip
* @description Tokenizer and text_encoder submodels
*/
clip?: components["schemas"]["ClipField"];
/**
* Clip2
* @description Tokenizer and text_encoder submodels
*/
clip2?: components["schemas"]["ClipField"];
/**
* Vae
* @description Vae submodel
*/
vae?: components["schemas"]["VaeField"];
};
/**
* SDXLRawPromptInvocation
* @description Parse prompt using compel package to conditioning.
*/
SDXLRawPromptInvocation: {
/**
* Id
* @description The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Is Intermediate
* @description Whether or not this node is an intermediate node.
* @default false
*/
is_intermediate?: boolean;
/**
* Type
* @default sdxl_raw_prompt
* @enum {string}
*/
type?: "sdxl_raw_prompt";
/**
* Prompt
* @description Prompt
* @default
*/
prompt?: string;
/**
* Style
* @description Style prompt
* @default
*/
style?: string;
/**
* Original Width
* @default 1024
*/
original_width?: number;
/**
* Original Height
* @default 1024
*/
original_height?: number;
/**
* Crop Top
* @default 0
*/
crop_top?: number;
/**
* Crop Left
* @default 0
*/
crop_left?: number;
/**
* Target Width
* @default 1024
*/
target_width?: number;
/**
* Target Height
* @default 1024
*/
target_height?: number;
/**
* Clip1
* @description Clip to use
*/
clip1?: components["schemas"]["ClipField"];
/**
* Clip2
* @description Clip to use
*/
clip2?: components["schemas"]["ClipField"];
};
/**
* SDXLRefinerCompelPromptInvocation
* @description Parse prompt using compel package to conditioning.
*/
SDXLRefinerCompelPromptInvocation: {
/**
* Id
* @description The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Is Intermediate
* @description Whether or not this node is an intermediate node.
* @default false
*/
is_intermediate?: boolean;
/**
* Type
* @default sdxl_refiner_compel_prompt
* @enum {string}
*/
type?: "sdxl_refiner_compel_prompt";
/**
* Style
* @description Style prompt
* @default
*/
style?: string;
/**
* Original Width
* @default 1024
*/
original_width?: number;
/**
* Original Height
* @default 1024
*/
original_height?: number;
/**
* Crop Top
* @default 0
*/
crop_top?: number;
/**
* Crop Left
* @default 0
*/
crop_left?: number;
/**
* Aesthetic Score
* @default 6
*/
aesthetic_score?: number;
/**
* Clip2
* @description Clip to use
*/
clip2?: components["schemas"]["ClipField"];
};
/**
* SDXLRefinerModelLoaderInvocation
* @description Loads an sdxl refiner model, outputting its submodels.
*/
SDXLRefinerModelLoaderInvocation: {
/**
* Id
* @description The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Is Intermediate
* @description Whether or not this node is an intermediate node.
* @default false
*/
is_intermediate?: boolean;
/**
* Type
* @default sdxl_refiner_model_loader
* @enum {string}
*/
type?: "sdxl_refiner_model_loader";
/**
* Model
* @description The model to load
*/
model: components["schemas"]["MainModelField"];
};
/**
* SDXLRefinerModelLoaderOutput
* @description SDXL refiner model loader output
*/
SDXLRefinerModelLoaderOutput: {
/**
* Type
* @default sdxl_refiner_model_loader_output
* @enum {string}
*/
type?: "sdxl_refiner_model_loader_output";
/**
* Unet
* @description UNet submodel
*/
unet?: components["schemas"]["UNetField"];
/**
* Clip2
* @description Tokenizer and text_encoder submodels
*/
clip2?: components["schemas"]["ClipField"];
/**
* Vae
* @description Vae submodel
*/
vae?: components["schemas"]["VaeField"];
};
/**
* SDXLRefinerRawPromptInvocation
* @description Parse prompt using compel package to conditioning.
*/
SDXLRefinerRawPromptInvocation: {
/**
* Id
* @description The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Is Intermediate
* @description Whether or not this node is an intermediate node.
* @default false
*/
is_intermediate?: boolean;
/**
* Type
* @default sdxl_refiner_raw_prompt
* @enum {string}
*/
type?: "sdxl_refiner_raw_prompt";
/**
* Style
* @description Style prompt
* @default
*/
style?: string;
/**
* Original Width
* @default 1024
*/
original_width?: number;
/**
* Original Height
* @default 1024
*/
original_height?: number;
/**
* Crop Top
* @default 0
*/
crop_top?: number;
/**
* Crop Left
* @default 0
*/
crop_left?: number;
/**
* Aesthetic Score
* @default 6
*/
aesthetic_score?: number;
/**
* Clip2
* @description Clip to use
*/
clip2?: components["schemas"]["ClipField"];
};
/**
* SDXLTextToLatentsInvocation
* @description Generates latents from conditionings.
*/
SDXLTextToLatentsInvocation: {
/**
* Id
* @description The id of this node. Must be unique among all nodes.
*/
id: string;
/**
* Is Intermediate
* @description Whether or not this node is an intermediate node.
* @default false
*/
is_intermediate?: boolean;
/**
* Type
* @default t2l_sdxl
* @enum {string}
*/
type?: "t2l_sdxl";
/**
* Positive Conditioning
* @description Positive conditioning for generation
*/
positive_conditioning?: components["schemas"]["ConditioningField"];
/**
* Negative Conditioning
* @description Negative conditioning for generation
*/
negative_conditioning?: components["schemas"]["ConditioningField"];
/**
* Noise
* @description The noise to use
*/
noise?: components["schemas"]["LatentsField"];
/**
* Steps
* @description The number of steps to use to generate the image
* @default 10
*/
steps?: number;
/**
* Cfg Scale
* @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt
* @default 7.5
*/
cfg_scale?: number | (number)[];
/**
* Scheduler
* @description The scheduler to use
* @default euler
* @enum {string}
*/
scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
/**
* Unet
* @description UNet submodel
*/
unet?: components["schemas"]["UNetField"];
/**
* Denoising End
* @default 1
*/
denoising_end?: number;
};
/**
* ScaleLatentsInvocation
* @description Scales latents by a given factor.
@@ -4226,6 +4815,56 @@ export type components = {
vae?: string;
variant: components["schemas"]["ModelVariantType"];
};
/** StableDiffusionXLModelCheckpointConfig */
StableDiffusionXLModelCheckpointConfig: {
/** Model Name */
model_name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
* @enum {string}
*/
model_type: "main";
/** Path */
path: string;
/** Description */
description?: string;
/**
* Model Format
* @enum {string}
*/
model_format: "checkpoint";
error?: components["schemas"]["ModelError"];
/** Vae */
vae?: string;
/** Config */
config: string;
variant: components["schemas"]["ModelVariantType"];
};
/** StableDiffusionXLModelDiffusersConfig */
StableDiffusionXLModelDiffusersConfig: {
/** Model Name */
model_name: string;
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
* @enum {string}
*/
model_type: "main";
/** Path */
path: string;
/** Description */
description?: string;
/**
* Model Format
* @enum {string}
*/
model_format: "diffusers";
error?: components["schemas"]["ModelError"];
/** Vae */
vae?: string;
variant: components["schemas"]["ModelVariantType"];
};
/**
* StepParamEasingInvocation
* @description Experimental per-step parameter easing for denoising steps
@@ -4313,7 +4952,7 @@ export type components = {
* @description An enumeration.
* @enum {string}
*/
SubModelType: "unet" | "text_encoder" | "tokenizer" | "vae" | "scheduler" | "safety_checker";
SubModelType: "unet" | "text_encoder" | "text_encoder_2" | "tokenizer" | "tokenizer_2" | "vae" | "scheduler" | "safety_checker";
/**
* SubtractInvocation
* @description Subtracts two numbers
@@ -4612,18 +5251,24 @@ export type components = {
*/
image?: components["schemas"]["ImageField"];
};
/**
* StableDiffusion1ModelFormat
* @description An enumeration.
* @enum {string}
*/
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
/**
* StableDiffusion2ModelFormat
* @description An enumeration.
* @enum {string}
*/
StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
/**
* StableDiffusionXLModelFormat
* @description An enumeration.
* @enum {string}
*/
StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
/**
* StableDiffusion1ModelFormat
* @description An enumeration.
* @enum {string}
*/
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
};
responses: never;
parameters: never;
@@ -4734,7 +5379,7 @@ export type operations = {
};
requestBody: {
content: {
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["RealESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["RealESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
};
};
responses: {
@@ -4771,7 +5416,7 @@ export type operations = {
};
requestBody: {
content: {
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["RealESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
"application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["RealESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
};
};
responses: {
@@ -4969,8 +5614,8 @@ export type operations = {
list_models: {
parameters: {
query?: {
/** @description Base model */
base_model?: components["schemas"]["BaseModelType"];
/** @description Base models to include */
base_models?: (components["schemas"]["BaseModelType"])[];
/** @description The type of model to get */
model_type?: components["schemas"]["ModelType"];
};
@@ -5035,14 +5680,14 @@ export type operations = {
};
requestBody: {
content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
};
};
responses: {
/** @description The model was updated successfully */
200: {
content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
};
};
/** @description Bad request */
@@ -5073,13 +5718,15 @@ export type operations = {
/** @description The model imported successfully */
201: {
content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
};
};
/** @description The model could not be found */
404: never;
/** @description There is already a model corresponding to this path or repo_id */
409: never;
/** @description Unrecognized file/folder format */
415: never;
/** @description Validation Error */
422: {
content: {
@@ -5097,14 +5744,14 @@ export type operations = {
add_model: {
requestBody: {
content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
};
};
responses: {
/** @description The model added successfully */
201: {
content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
};
};
/** @description The model could not be found */
@@ -5144,7 +5791,7 @@ export type operations = {
/** @description Model converted successfully */
200: {
content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
};
};
/** @description Bad request */
@@ -5233,7 +5880,7 @@ export type operations = {
/** @description Model converted successfully */
200: {
content: {
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"];
"application/json": components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
};
};
/** @description Incompatible models */

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

@@ -47,10 +47,12 @@ export type TextualInversionModelConfig =
components['schemas']['TextualInversionModelConfig'];
export type DiffusersModelConfig =
| components['schemas']['StableDiffusion1ModelDiffusersConfig']
| components['schemas']['StableDiffusion2ModelDiffusersConfig'];
| components['schemas']['StableDiffusion2ModelDiffusersConfig']
| components['schemas']['StableDiffusionXLModelDiffusersConfig'];
export type CheckpointModelConfig =
| components['schemas']['StableDiffusion1ModelCheckpointConfig']
| components['schemas']['StableDiffusion2ModelCheckpointConfig'];
| components['schemas']['StableDiffusion2ModelCheckpointConfig']
| components['schemas']['StableDiffusionXLModelCheckpointConfig'];
export type MainModelConfig = DiffusersModelConfig | CheckpointModelConfig;
export type AnyModelConfig =
| LoRAModelConfig