mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Revert "[MM2] Use typed ModelRecordChanges for model_install() rather than un…"
This reverts commit 633bbb4e85.
This commit is contained in:
psychedelicious
GitHub
@ -155,8 +155,5 @@
|
||||
"vite-plugin-eslint": "^1.8.1",
|
||||
"vite-tsconfig-paths": "^4.3.2",
|
||||
"vitest": "^1.6.0"
|
||||
},
|
||||
"engines": {
|
||||
"pnpm": "8"
|
||||
}
|
||||
}
|
||||
|
||||
13326
invokeai/frontend/web/pnpm-lock.yaml
generated
Normal file
13326
invokeai/frontend/web/pnpm-lock.yaml
generated
Normal file
File diff suppressed because it is too large
Load Diff
@ -1,9 +1,11 @@
|
||||
import { toast } from 'features/toast/toast';
|
||||
import { useCallback } from 'react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import { type InstallModelArg, useInstallModelMutation } from 'services/api/endpoints/models';
|
||||
import { useInstallModelMutation } from 'services/api/endpoints/models';
|
||||
|
||||
type InstallModelArgWithCallbacks = InstallModelArg & {
|
||||
type InstallModelArg = {
|
||||
source: string;
|
||||
inplace?: boolean;
|
||||
onSuccess?: () => void;
|
||||
onError?: (error: unknown) => void;
|
||||
};
|
||||
@ -13,9 +15,8 @@ export const useInstallModel = () => {
|
||||
const [_installModel, request] = useInstallModelMutation();
|
||||
|
||||
const installModel = useCallback(
|
||||
({ source, inplace, config, onSuccess, onError }: InstallModelArgWithCallbacks) => {
|
||||
config ||= {};
|
||||
_installModel({ source, inplace, config })
|
||||
({ source, inplace, onSuccess, onError }: InstallModelArg) => {
|
||||
_installModel({ source, inplace })
|
||||
.unwrap()
|
||||
.then((_) => {
|
||||
if (onSuccess) {
|
||||
|
||||
@ -12,19 +12,17 @@ type Props = {
|
||||
export const StarterModelsResultItem = ({ result }: Props) => {
|
||||
const { t } = useTranslation();
|
||||
const allSources = useMemo(() => {
|
||||
const _allSources = [{ source: result.source, config: { name: result.name, description: result.description } }];
|
||||
const _allSources = [result.source];
|
||||
if (result.dependencies) {
|
||||
for (const d of result.dependencies) {
|
||||
_allSources.push({ source: d.source, config: { name: d.name, description: d.description } });
|
||||
}
|
||||
_allSources.push(...result.dependencies.map((d) => d.source));
|
||||
}
|
||||
return _allSources;
|
||||
}, [result]);
|
||||
const [installModel] = useInstallModel();
|
||||
|
||||
const onClick = useCallback(() => {
|
||||
for (const { config, source } of allSources) {
|
||||
installModel({ config, source });
|
||||
for (const source of allSources) {
|
||||
installModel({ source });
|
||||
}
|
||||
}, [allSources, installModel]);
|
||||
|
||||
|
||||
@ -39,10 +39,9 @@ type DeleteModelImageResponse = void;
|
||||
type ConvertMainModelResponse =
|
||||
paths['/api/v2/models/convert/{key}']['put']['responses']['200']['content']['application/json'];
|
||||
|
||||
export type InstallModelArg = {
|
||||
type InstallModelArg = {
|
||||
source: paths['/api/v2/models/install']['post']['parameters']['query']['source'];
|
||||
inplace?: paths['/api/v2/models/install']['post']['parameters']['query']['inplace'];
|
||||
config?: paths['/api/v2/models/install']['post']['requestBody']['content']['application/json'];
|
||||
};
|
||||
type InstallModelResponse = paths['/api/v2/models/install']['post']['responses']['201']['content']['application/json'];
|
||||
|
||||
@ -125,12 +124,11 @@ export const modelsApi = api.injectEndpoints({
|
||||
invalidatesTags: [{ type: 'ModelConfig', id: LIST_TAG }],
|
||||
}),
|
||||
installModel: build.mutation<InstallModelResponse, InstallModelArg>({
|
||||
query: ({ source, inplace = true, config }) => {
|
||||
query: ({ source, inplace = true }) => {
|
||||
return {
|
||||
url: buildModelsUrl('install'),
|
||||
params: { source, inplace },
|
||||
method: 'POST',
|
||||
body: config,
|
||||
};
|
||||
},
|
||||
invalidatesTags: ['ModelInstalls'],
|
||||
|
||||
@ -103,9 +103,8 @@ export type paths = {
|
||||
* - model/name:fp16:path/to/model.safetensors
|
||||
* - model/name::path/to/model.safetensors
|
||||
*
|
||||
* `config` is a ModelRecordChanges object. Fields in this object will override
|
||||
* the ones that are probed automatically. Pass an empty object to accept
|
||||
* all the defaults.
|
||||
* `config` is an optional dict containing model configuration values that will override
|
||||
* the ones that are probed automatically.
|
||||
*
|
||||
* `access_token` is an optional access token for use with Urls that require
|
||||
* authentication.
|
||||
@ -1590,7 +1589,6 @@ export type components = {
|
||||
cover_image?: string | null;
|
||||
/**
|
||||
* Format
|
||||
* @default diffusers
|
||||
* @constant
|
||||
* @enum {string}
|
||||
*/
|
||||
@ -3173,7 +3171,7 @@ export type components = {
|
||||
/**
|
||||
* Fp32
|
||||
* @description Whether or not to use full float32 precision
|
||||
* @default true
|
||||
* @default false
|
||||
*/
|
||||
fp32?: boolean;
|
||||
/**
|
||||
@ -3256,7 +3254,7 @@ export type components = {
|
||||
/**
|
||||
* Fp32
|
||||
* @description Whether or not to use full float32 precision
|
||||
* @default true
|
||||
* @default false
|
||||
*/
|
||||
fp32?: boolean;
|
||||
/**
|
||||
@ -6577,7 +6575,7 @@ export type components = {
|
||||
/**
|
||||
* Fp32
|
||||
* @description Whether or not to use full float32 precision
|
||||
* @default true
|
||||
* @default false
|
||||
*/
|
||||
fp32?: boolean;
|
||||
/**
|
||||
@ -7306,146 +7304,146 @@ export type components = {
|
||||
project_id: string | null;
|
||||
};
|
||||
InvocationOutputMap: {
|
||||
integer: components["schemas"]["IntegerOutput"];
|
||||
heuristic_resize: components["schemas"]["ImageOutput"];
|
||||
range_of_size: components["schemas"]["IntegerCollectionOutput"];
|
||||
sdxl_compel_prompt: components["schemas"]["ConditioningOutput"];
|
||||
midas_depth_image_processor: components["schemas"]["ImageOutput"];
|
||||
dw_openpose_image_processor: components["schemas"]["ImageOutput"];
|
||||
color: components["schemas"]["ColorOutput"];
|
||||
merge_tiles_to_image: components["schemas"]["ImageOutput"];
|
||||
merge_metadata: components["schemas"]["MetadataOutput"];
|
||||
denoise_latents: components["schemas"]["LatentsOutput"];
|
||||
model_identifier: components["schemas"]["ModelIdentifierOutput"];
|
||||
sdxl_refiner_compel_prompt: components["schemas"]["ConditioningOutput"];
|
||||
img_resize: components["schemas"]["ImageOutput"];
|
||||
float_to_int: components["schemas"]["IntegerOutput"];
|
||||
img_scale: components["schemas"]["ImageOutput"];
|
||||
string_collection: components["schemas"]["StringCollectionOutput"];
|
||||
compel: components["schemas"]["ConditioningOutput"];
|
||||
calculate_image_tiles_min_overlap: components["schemas"]["CalculateImageTilesOutput"];
|
||||
infill_cv2: components["schemas"]["ImageOutput"];
|
||||
string_join: components["schemas"]["StringOutput"];
|
||||
lineart_anime_image_processor: components["schemas"]["ImageOutput"];
|
||||
infill_rgba: components["schemas"]["ImageOutput"];
|
||||
sdxl_lora_collection_loader: components["schemas"]["SDXLLoRALoaderOutput"];
|
||||
string_join_three: components["schemas"]["StringOutput"];
|
||||
lblend: components["schemas"]["LatentsOutput"];
|
||||
lscale: components["schemas"]["LatentsOutput"];
|
||||
normalbae_image_processor: components["schemas"]["ImageOutput"];
|
||||
img_channel_multiply: components["schemas"]["ImageOutput"];
|
||||
float_collection: components["schemas"]["FloatCollectionOutput"];
|
||||
range: components["schemas"]["IntegerCollectionOutput"];
|
||||
infill_patchmatch: components["schemas"]["ImageOutput"];
|
||||
face_off: components["schemas"]["FaceOffOutput"];
|
||||
mlsd_image_processor: components["schemas"]["ImageOutput"];
|
||||
string_replace: components["schemas"]["StringOutput"];
|
||||
image_mask_to_tensor: components["schemas"]["MaskOutput"];
|
||||
depth_anything_image_processor: components["schemas"]["ImageOutput"];
|
||||
infill_lama: components["schemas"]["ImageOutput"];
|
||||
metadata_item: components["schemas"]["MetadataItemOutput"];
|
||||
lora_loader: components["schemas"]["LoRALoaderOutput"];
|
||||
latents_collection: components["schemas"]["LatentsCollectionOutput"];
|
||||
alpha_mask_to_tensor: components["schemas"]["MaskOutput"];
|
||||
rand_float: components["schemas"]["FloatOutput"];
|
||||
noise: components["schemas"]["NoiseOutput"];
|
||||
face_mask_detection: components["schemas"]["FaceMaskOutput"];
|
||||
ideal_size: components["schemas"]["IdealSizeOutput"];
|
||||
lora_collection_loader: components["schemas"]["LoRALoaderOutput"];
|
||||
color_map_image_processor: components["schemas"]["ImageOutput"];
|
||||
img_paste: components["schemas"]["ImageOutput"];
|
||||
img_scale: components["schemas"]["ImageOutput"];
|
||||
zoe_depth_image_processor: components["schemas"]["ImageOutput"];
|
||||
tile_to_properties: components["schemas"]["TileToPropertiesOutput"];
|
||||
clip_skip: components["schemas"]["CLIPSkipInvocationOutput"];
|
||||
save_image: components["schemas"]["ImageOutput"];
|
||||
collect: components["schemas"]["CollectInvocationOutput"];
|
||||
face_identifier: components["schemas"]["ImageOutput"];
|
||||
img_blur: components["schemas"]["ImageOutput"];
|
||||
img_paste: components["schemas"]["ImageOutput"];
|
||||
segment_anything_processor: components["schemas"]["ImageOutput"];
|
||||
add: components["schemas"]["IntegerOutput"];
|
||||
tiled_multi_diffusion_denoise_latents: components["schemas"]["LatentsOutput"];
|
||||
img_crop: components["schemas"]["ImageOutput"];
|
||||
conditioning: components["schemas"]["ConditioningOutput"];
|
||||
esrgan: components["schemas"]["ImageOutput"];
|
||||
lineart_image_processor: components["schemas"]["ImageOutput"];
|
||||
mul: components["schemas"]["IntegerOutput"];
|
||||
img_nsfw: components["schemas"]["ImageOutput"];
|
||||
merge_tiles_to_image: components["schemas"]["ImageOutput"];
|
||||
latents_collection: components["schemas"]["LatentsCollectionOutput"];
|
||||
img_mul: components["schemas"]["ImageOutput"];
|
||||
sdxl_model_loader: components["schemas"]["SDXLModelLoaderOutput"];
|
||||
infill_tile: components["schemas"]["ImageOutput"];
|
||||
float: components["schemas"]["FloatOutput"];
|
||||
sdxl_lora_loader: components["schemas"]["SDXLLoRALoaderOutput"];
|
||||
scheduler: components["schemas"]["SchedulerOutput"];
|
||||
tomask: components["schemas"]["ImageOutput"];
|
||||
image_mask_to_tensor: components["schemas"]["MaskOutput"];
|
||||
conditioning_collection: components["schemas"]["ConditioningCollectionOutput"];
|
||||
img_ilerp: components["schemas"]["ImageOutput"];
|
||||
integer_math: components["schemas"]["IntegerOutput"];
|
||||
lora_selector: components["schemas"]["LoRASelectorOutput"];
|
||||
sub: components["schemas"]["IntegerOutput"];
|
||||
crop_latents: components["schemas"]["LatentsOutput"];
|
||||
string_join_three: components["schemas"]["StringOutput"];
|
||||
cv_inpaint: components["schemas"]["ImageOutput"];
|
||||
main_model_loader: components["schemas"]["ModelLoaderOutput"];
|
||||
hed_image_processor: components["schemas"]["ImageOutput"];
|
||||
create_gradient_mask: components["schemas"]["GradientMaskOutput"];
|
||||
create_denoise_mask: components["schemas"]["DenoiseMaskOutput"];
|
||||
mask_combine: components["schemas"]["ImageOutput"];
|
||||
img_pad_crop: components["schemas"]["ImageOutput"];
|
||||
freeu: components["schemas"]["UNetOutput"];
|
||||
lresize: components["schemas"]["LatentsOutput"];
|
||||
metadata: components["schemas"]["MetadataOutput"];
|
||||
color_map_image_processor: components["schemas"]["ImageOutput"];
|
||||
image_collection: components["schemas"]["ImageCollectionOutput"];
|
||||
l2i: components["schemas"]["ImageOutput"];
|
||||
show_image: components["schemas"]["ImageOutput"];
|
||||
t2i_adapter: components["schemas"]["T2IAdapterOutput"];
|
||||
round_float: components["schemas"]["FloatOutput"];
|
||||
canvas_paste_back: components["schemas"]["ImageOutput"];
|
||||
img_hue_adjust: components["schemas"]["ImageOutput"];
|
||||
sdxl_refiner_model_loader: components["schemas"]["SDXLRefinerModelLoaderOutput"];
|
||||
spandrel_image_to_image: components["schemas"]["ImageOutput"];
|
||||
step_param_easing: components["schemas"]["FloatCollectionOutput"];
|
||||
calculate_image_tiles_even_split: components["schemas"]["CalculateImageTilesOutput"];
|
||||
color_correct: components["schemas"]["ImageOutput"];
|
||||
float_range: components["schemas"]["FloatCollectionOutput"];
|
||||
mediapipe_face_processor: components["schemas"]["ImageOutput"];
|
||||
prompt_from_file: components["schemas"]["StringCollectionOutput"];
|
||||
random_range: components["schemas"]["IntegerCollectionOutput"];
|
||||
invert_tensor_mask: components["schemas"]["MaskOutput"];
|
||||
img_conv: components["schemas"]["ImageOutput"];
|
||||
seamless: components["schemas"]["SeamlessModeOutput"];
|
||||
ip_adapter: components["schemas"]["IPAdapterOutput"];
|
||||
i2l: components["schemas"]["LatentsOutput"];
|
||||
integer_collection: components["schemas"]["IntegerCollectionOutput"];
|
||||
vae_loader: components["schemas"]["VAEOutput"];
|
||||
leres_image_processor: components["schemas"]["ImageOutput"];
|
||||
blank_image: components["schemas"]["ImageOutput"];
|
||||
mask_from_id: components["schemas"]["ImageOutput"];
|
||||
pair_tile_image: components["schemas"]["PairTileImageOutput"];
|
||||
conditioning: components["schemas"]["ConditioningOutput"];
|
||||
dynamic_prompt: components["schemas"]["StringCollectionOutput"];
|
||||
mask_edge: components["schemas"]["ImageOutput"];
|
||||
img_channel_multiply: components["schemas"]["ImageOutput"];
|
||||
controlnet: components["schemas"]["ControlOutput"];
|
||||
latents: components["schemas"]["LatentsOutput"];
|
||||
unsharp_mask: components["schemas"]["ImageOutput"];
|
||||
tomask: components["schemas"]["ImageOutput"];
|
||||
mul: components["schemas"]["IntegerOutput"];
|
||||
seamless: components["schemas"]["SeamlessModeOutput"];
|
||||
canny_image_processor: components["schemas"]["ImageOutput"];
|
||||
core_metadata: components["schemas"]["MetadataOutput"];
|
||||
div: components["schemas"]["IntegerOutput"];
|
||||
metadata_item: components["schemas"]["MetadataItemOutput"];
|
||||
add: components["schemas"]["IntegerOutput"];
|
||||
crop_latents: components["schemas"]["LatentsOutput"];
|
||||
integer_collection: components["schemas"]["IntegerCollectionOutput"];
|
||||
sdxl_model_loader: components["schemas"]["SDXLModelLoaderOutput"];
|
||||
string_split: components["schemas"]["String2Output"];
|
||||
img_chan: components["schemas"]["ImageOutput"];
|
||||
img_channel_offset: components["schemas"]["ImageOutput"];
|
||||
calculate_image_tiles: components["schemas"]["CalculateImageTilesOutput"];
|
||||
rand_int: components["schemas"]["IntegerOutput"];
|
||||
string_split_neg: components["schemas"]["StringPosNegOutput"];
|
||||
face_off: components["schemas"]["FaceOffOutput"];
|
||||
boolean: components["schemas"]["BooleanOutput"];
|
||||
string: components["schemas"]["StringOutput"];
|
||||
float_math: components["schemas"]["FloatOutput"];
|
||||
pidi_image_processor: components["schemas"]["ImageOutput"];
|
||||
img_watermark: components["schemas"]["ImageOutput"];
|
||||
content_shuffle_image_processor: components["schemas"]["ImageOutput"];
|
||||
iterate: components["schemas"]["IterateInvocationOutput"];
|
||||
img_lerp: components["schemas"]["ImageOutput"];
|
||||
image: components["schemas"]["ImageOutput"];
|
||||
rectangle_mask: components["schemas"]["MaskOutput"];
|
||||
tile_image_processor: components["schemas"]["ImageOutput"];
|
||||
infill_cv2: components["schemas"]["ImageOutput"];
|
||||
tiled_multi_diffusion_denoise_latents: components["schemas"]["LatentsOutput"];
|
||||
collect: components["schemas"]["CollectInvocationOutput"];
|
||||
image_collection: components["schemas"]["ImageCollectionOutput"];
|
||||
save_image: components["schemas"]["ImageOutput"];
|
||||
controlnet: components["schemas"]["ControlOutput"];
|
||||
float_math: components["schemas"]["FloatOutput"];
|
||||
sdxl_refiner_compel_prompt: components["schemas"]["ConditioningOutput"];
|
||||
i2l: components["schemas"]["LatentsOutput"];
|
||||
infill_lama: components["schemas"]["ImageOutput"];
|
||||
sub: components["schemas"]["IntegerOutput"];
|
||||
div: components["schemas"]["IntegerOutput"];
|
||||
face_mask_detection: components["schemas"]["FaceMaskOutput"];
|
||||
esrgan: components["schemas"]["ImageOutput"];
|
||||
mask_combine: components["schemas"]["ImageOutput"];
|
||||
ip_adapter: components["schemas"]["IPAdapterOutput"];
|
||||
blank_image: components["schemas"]["ImageOutput"];
|
||||
heuristic_resize: components["schemas"]["ImageOutput"];
|
||||
rand_int: components["schemas"]["IntegerOutput"];
|
||||
lora_selector: components["schemas"]["LoRASelectorOutput"];
|
||||
unsharp_mask: components["schemas"]["ImageOutput"];
|
||||
face_identifier: components["schemas"]["ImageOutput"];
|
||||
sdxl_compel_prompt: components["schemas"]["ConditioningOutput"];
|
||||
infill_patchmatch: components["schemas"]["ImageOutput"];
|
||||
img_nsfw: components["schemas"]["ImageOutput"];
|
||||
lineart_anime_image_processor: components["schemas"]["ImageOutput"];
|
||||
compel: components["schemas"]["ConditioningOutput"];
|
||||
rectangle_mask: components["schemas"]["MaskOutput"];
|
||||
lora_collection_loader: components["schemas"]["LoRALoaderOutput"];
|
||||
freeu: components["schemas"]["UNetOutput"];
|
||||
img_hue_adjust: components["schemas"]["ImageOutput"];
|
||||
pidi_image_processor: components["schemas"]["ImageOutput"];
|
||||
content_shuffle_image_processor: components["schemas"]["ImageOutput"];
|
||||
mediapipe_face_processor: components["schemas"]["ImageOutput"];
|
||||
string_split_neg: components["schemas"]["StringPosNegOutput"];
|
||||
img_conv: components["schemas"]["ImageOutput"];
|
||||
lora_loader: components["schemas"]["LoRALoaderOutput"];
|
||||
color_correct: components["schemas"]["ImageOutput"];
|
||||
img_ilerp: components["schemas"]["ImageOutput"];
|
||||
noise: components["schemas"]["NoiseOutput"];
|
||||
float_range: components["schemas"]["FloatCollectionOutput"];
|
||||
dw_openpose_image_processor: components["schemas"]["ImageOutput"];
|
||||
float_to_int: components["schemas"]["IntegerOutput"];
|
||||
invert_tensor_mask: components["schemas"]["MaskOutput"];
|
||||
random_range: components["schemas"]["IntegerCollectionOutput"];
|
||||
latents: components["schemas"]["LatentsOutput"];
|
||||
leres_image_processor: components["schemas"]["ImageOutput"];
|
||||
t2i_adapter: components["schemas"]["T2IAdapterOutput"];
|
||||
pair_tile_image: components["schemas"]["PairTileImageOutput"];
|
||||
mask_edge: components["schemas"]["ImageOutput"];
|
||||
metadata: components["schemas"]["MetadataOutput"];
|
||||
string_join: components["schemas"]["StringOutput"];
|
||||
core_metadata: components["schemas"]["MetadataOutput"];
|
||||
canvas_paste_back: components["schemas"]["ImageOutput"];
|
||||
sdxl_lora_collection_loader: components["schemas"]["SDXLLoRALoaderOutput"];
|
||||
img_channel_offset: components["schemas"]["ImageOutput"];
|
||||
lineart_image_processor: components["schemas"]["ImageOutput"];
|
||||
midas_depth_image_processor: components["schemas"]["ImageOutput"];
|
||||
lscale: components["schemas"]["LatentsOutput"];
|
||||
string: components["schemas"]["StringOutput"];
|
||||
integer: components["schemas"]["IntegerOutput"];
|
||||
string_replace: components["schemas"]["StringOutput"];
|
||||
depth_anything_image_processor: components["schemas"]["ImageOutput"];
|
||||
main_model_loader: components["schemas"]["ModelLoaderOutput"];
|
||||
image: components["schemas"]["ImageOutput"];
|
||||
prompt_from_file: components["schemas"]["StringCollectionOutput"];
|
||||
sdxl_lora_loader: components["schemas"]["SDXLLoRALoaderOutput"];
|
||||
mask_from_id: components["schemas"]["ImageOutput"];
|
||||
normalbae_image_processor: components["schemas"]["ImageOutput"];
|
||||
infill_rgba: components["schemas"]["ImageOutput"];
|
||||
step_param_easing: components["schemas"]["FloatCollectionOutput"];
|
||||
hed_image_processor: components["schemas"]["ImageOutput"];
|
||||
img_chan: components["schemas"]["ImageOutput"];
|
||||
float: components["schemas"]["FloatOutput"];
|
||||
boolean_collection: components["schemas"]["BooleanCollectionOutput"];
|
||||
segment_anything_processor: components["schemas"]["ImageOutput"];
|
||||
range_of_size: components["schemas"]["IntegerCollectionOutput"];
|
||||
boolean: components["schemas"]["BooleanOutput"];
|
||||
iterate: components["schemas"]["IterateInvocationOutput"];
|
||||
denoise_latents: components["schemas"]["LatentsOutput"];
|
||||
calculate_image_tiles_min_overlap: components["schemas"]["CalculateImageTilesOutput"];
|
||||
color: components["schemas"]["ColorOutput"];
|
||||
calculate_image_tiles_even_split: components["schemas"]["CalculateImageTilesOutput"];
|
||||
scheduler: components["schemas"]["SchedulerOutput"];
|
||||
rand_float: components["schemas"]["FloatOutput"];
|
||||
create_denoise_mask: components["schemas"]["DenoiseMaskOutput"];
|
||||
range: components["schemas"]["IntegerCollectionOutput"];
|
||||
img_watermark: components["schemas"]["ImageOutput"];
|
||||
spandrel_image_to_image: components["schemas"]["ImageOutput"];
|
||||
show_image: components["schemas"]["ImageOutput"];
|
||||
string_collection: components["schemas"]["StringCollectionOutput"];
|
||||
infill_tile: components["schemas"]["ImageOutput"];
|
||||
clip_skip: components["schemas"]["CLIPSkipInvocationOutput"];
|
||||
sdxl_refiner_model_loader: components["schemas"]["SDXLRefinerModelLoaderOutput"];
|
||||
ideal_size: components["schemas"]["IdealSizeOutput"];
|
||||
img_lerp: components["schemas"]["ImageOutput"];
|
||||
l2i: components["schemas"]["ImageOutput"];
|
||||
create_gradient_mask: components["schemas"]["GradientMaskOutput"];
|
||||
vae_loader: components["schemas"]["VAEOutput"];
|
||||
calculate_image_tiles: components["schemas"]["CalculateImageTilesOutput"];
|
||||
alpha_mask_to_tensor: components["schemas"]["MaskOutput"];
|
||||
integer_math: components["schemas"]["IntegerOutput"];
|
||||
model_identifier: components["schemas"]["ModelIdentifierOutput"];
|
||||
img_crop: components["schemas"]["ImageOutput"];
|
||||
img_resize: components["schemas"]["ImageOutput"];
|
||||
round_float: components["schemas"]["FloatOutput"];
|
||||
};
|
||||
/**
|
||||
* InvocationStartedEvent
|
||||
@ -7792,7 +7790,7 @@ export type components = {
|
||||
/**
|
||||
* Fp32
|
||||
* @description Whether or not to use full float32 precision
|
||||
* @default true
|
||||
* @default false
|
||||
*/
|
||||
fp32?: boolean;
|
||||
/**
|
||||
@ -9596,8 +9594,11 @@ export type components = {
|
||||
* @description Information about why the job failed
|
||||
*/
|
||||
error_reason?: string | null;
|
||||
/** @description Configuration information (e.g. 'description') to apply to model. */
|
||||
config_in?: components["schemas"]["ModelRecordChanges"];
|
||||
/**
|
||||
* Config In
|
||||
* @description Configuration information (e.g. 'description') to apply to model.
|
||||
*/
|
||||
config_in?: Record<string, never>;
|
||||
/**
|
||||
* Config Out
|
||||
* @description After successful installation, this will hold the configuration object.
|
||||
@ -9749,18 +9750,6 @@ export type components = {
|
||||
* @description A set of changes to apply to a model.
|
||||
*/
|
||||
ModelRecordChanges: {
|
||||
/**
|
||||
* Source
|
||||
* @description original source of the model
|
||||
*/
|
||||
source?: string | null;
|
||||
/** @description type of model source */
|
||||
source_type?: components["schemas"]["ModelSourceType"] | null;
|
||||
/**
|
||||
* Source Api Response
|
||||
* @description metadata from remote source
|
||||
*/
|
||||
source_api_response?: string | null;
|
||||
/**
|
||||
* Name
|
||||
* @description Name of the model.
|
||||
@ -9778,18 +9767,6 @@ export type components = {
|
||||
description?: string | null;
|
||||
/** @description The base model. */
|
||||
base?: components["schemas"]["BaseModelType"] | null;
|
||||
/** @description Type of model */
|
||||
type?: components["schemas"]["ModelType"] | null;
|
||||
/**
|
||||
* Key
|
||||
* @description Database ID for this model
|
||||
*/
|
||||
key?: string | null;
|
||||
/**
|
||||
* Hash
|
||||
* @description hash of model file
|
||||
*/
|
||||
hash?: string | null;
|
||||
/**
|
||||
* Trigger Phrases
|
||||
* @description Set of trigger phrases for this model
|
||||
@ -12633,7 +12610,6 @@ export type components = {
|
||||
cover_image?: string | null;
|
||||
/**
|
||||
* Format
|
||||
* @default diffusers
|
||||
* @constant
|
||||
* @enum {string}
|
||||
*/
|
||||
@ -14327,9 +14303,8 @@ export type operations = {
|
||||
* - model/name:fp16:path/to/model.safetensors
|
||||
* - model/name::path/to/model.safetensors
|
||||
*
|
||||
* `config` is a ModelRecordChanges object. Fields in this object will override
|
||||
* the ones that are probed automatically. Pass an empty object to accept
|
||||
* all the defaults.
|
||||
* `config` is an optional dict containing model configuration values that will override
|
||||
* the ones that are probed automatically.
|
||||
*
|
||||
* `access_token` is an optional access token for use with Urls that require
|
||||
* authentication.
|
||||
@ -14348,11 +14323,10 @@ export type operations = {
|
||||
source: string;
|
||||
/** @description Whether or not to install a local model in place */
|
||||
inplace?: boolean | null;
|
||||
/** @description access token for the remote resource */
|
||||
access_token?: string | null;
|
||||
};
|
||||
};
|
||||
requestBody: {
|
||||
requestBody?: {
|
||||
content: {
|
||||
/**
|
||||
* @example {
|
||||
@ -14360,7 +14334,7 @@ export type operations = {
|
||||
* "description": "string"
|
||||
* }
|
||||
*/
|
||||
"application/json": components["schemas"]["ModelRecordChanges"];
|
||||
"application/json": Record<string, never> | null;
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
|
||||
Reference in New Issue
Block a user