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wip: Add Initial support for select SD3 models in UI

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This commit is contained in:
blessedcoolant 2024-06-14 16:04:16 +05:30
parent 03b9d17d0b
commit c79d9b9ecf
9 changed files with 200 additions and 184 deletions
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1
invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelBaseBadge.tsx
View File

@ -11,6 +11,7 @@ const BASE_COLOR_MAP: Record<BaseModelType, string> = {
any: 'base',
'sd-1': 'green',
'sd-2': 'teal',
'sd-3': 'purple',
sdxl: 'invokeBlue',
'sdxl-refiner': 'invokeBlue',
};

1
invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelPanel/Fields/BaseModelSelect.tsx
View File

@ -10,6 +10,7 @@ import type { UpdateModelArg } from 'services/api/endpoints/models';
const options: ComboboxOption[] = [
{ value: 'sd-1', label: MODEL_TYPE_MAP['sd-1'] },
{ value: 'sd-2', label: MODEL_TYPE_MAP['sd-2'] },
{ value: 'sd-3', label: MODEL_TYPE_MAP['sd-3'] },
{ value: 'sdxl', label: MODEL_TYPE_MAP['sdxl'] },
{ value: 'sdxl-refiner', label: MODEL_TYPE_MAP['sdxl-refiner'] },
];

5
invokeai/frontend/web/src/features/nodes/store/util/testUtils.ts
View File

@ -839,7 +839,7 @@ export const schema = {
},
BaseModelType: {
description: 'Base model type.',
enum: ['any', 'sd-1', 'sd-2', 'sdxl', 'sdxl-refiner'],
enum: ['any', 'sd-1', 'sd-2', 'sd-3', 'sdxl', 'sdxl-refiner'],
title: 'BaseModelType',
type: 'string',
},
@ -855,8 +855,11 @@ export const schema = {
'unet',
'text_encoder',
'text_encoder_2',
'text_encoder_3',
'tokenizer',
'tokenizer_2',
'tokenizer_3',
'transformer',
'vae',
'vae_decoder',
'vae_encoder',

5
invokeai/frontend/web/src/features/nodes/types/common.ts
View File

@ -55,7 +55,7 @@ export type SchedulerField = z.infer<typeof zSchedulerField>;
// #endregion
// #region Model-related schemas
const zBaseModel = z.enum(['any', 'sd-1', 'sd-2', 'sdxl', 'sdxl-refiner']);
const zBaseModel = z.enum(['any', 'sd-1', 'sd-2', 'sd-3', 'sdxl', 'sdxl-refiner']);
const zModelType = z.enum([
'main',
'vae',
@ -71,8 +71,11 @@ const zSubModelType = z.enum([
'unet',
'text_encoder',
'text_encoder_2',
'text_encoder_3',
'tokenizer',
'tokenizer_2',
'tokenizer_3',
'transformer',
'vae',
'vae_decoder',
'vae_encoder',

2
invokeai/frontend/web/src/features/nodes/types/v2/common.ts
View File

@ -44,7 +44,7 @@ export const zSchedulerField = z.enum([
// #endregion
// #region Model-related schemas
const zBaseModel = z.enum(['any', 'sd-1', 'sd-2', 'sdxl', 'sdxl-refiner']);
const zBaseModel = z.enum(['any', 'sd-1', 'sd-2', 'sd-3', 'sdxl', 'sdxl-refiner']);
const zModelName = z.string().min(3);
export const zModelIdentifier = z.object({
model_name: zModelName,

2
invokeai/frontend/web/src/features/parameters/components/Advanced/ParamClipSkip.tsx
View File

@ -39,7 +39,7 @@ const ParamClipSkip = () => {
return CLIP_SKIP_MAP[model.base].markers;
}, [model]);
if (model?.base === 'sdxl') {
if (model?.base === 'sdxl' || model?.base === 'sd-3') {
return null;
}

7
invokeai/frontend/web/src/features/parameters/types/constants.ts
View File

@ -7,6 +7,7 @@ export const MODEL_TYPE_MAP = {
any: 'Any',
'sd-1': 'Stable Diffusion 1.x',
'sd-2': 'Stable Diffusion 2.x',
'sd-3': 'Stable Diffusion 3.x',
sdxl: 'Stable Diffusion XL',
'sdxl-refiner': 'Stable Diffusion XL Refiner',
};
@ -18,6 +19,7 @@ export const MODEL_TYPE_SHORT_MAP = {
any: 'Any',
'sd-1': 'SD1.X',
'sd-2': 'SD2.X',
'sd-3': 'SD3.X',
sdxl: 'SDXL',
'sdxl-refiner': 'SDXLR',
};
@ -38,6 +40,11 @@ export const CLIP_SKIP_MAP = {
maxClip: 24,
markers: [0, 1, 2, 3, 5, 10, 15, 20, 24],
},
// TODO: Update this when we have more details on how CLIP SKIP works with SD3
'sd-3': {
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],

359
invokeai/frontend/web/src/services/api/schema.ts
View File

@ -757,7 +757,7 @@ export type components = {
* @description Base model type.
* @enum {string}
*/
BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner" | "sd-3";
/** Batch */
Batch: {
/**
@ -3788,23 +3788,6 @@ export type components = {
* @description Class to monitor and control a model download request.
*/
DownloadJob: {
/**
* Source
* Format: uri
* @description Where to download from. Specific types specified in child classes.
*/
source: string;
/**
* Dest
* Format: path
* @description Destination of downloaded model on local disk; a directory or file path
*/
dest: string;
/**
* Access Token
* @description authorization token for protected resources
*/
access_token?: string | null;
/**
* Id
* @description Numeric ID of this job
@ -3812,36 +3795,21 @@ export type components = {
*/
id?: number;
/**
* Priority
* @description Queue priority; lower values are higher priority
* @default 10
* Dest
* Format: path
* @description Initial destination of downloaded model on local disk; a directory or file path
*/
priority?: number;
dest: string;
/**
* Download Path
* @description Final location of downloaded file or directory
*/
download_path?: string | null;
/**
* @description Status of the download
* @default waiting
*/
status?: components["schemas"]["DownloadJobStatus"];
/**
* Download Path
* @description Final location of downloaded file
*/
download_path?: string | null;
/**
* Job Started
* @description Timestamp for when the download job started
*/
job_started?: string | null;
/**
* Job Ended
* @description Timestamp for when the download job ende1d (completed or errored)
*/
job_ended?: string | null;
/**
* Content Type
* @description Content type of downloaded file
*/
content_type?: string | null;
/**
* Bytes
* @description Bytes downloaded so far
@ -3864,6 +3832,38 @@ export type components = {
* @description Traceback of the exception that caused an error
*/
error?: string | null;
/**
* Source
* Format: uri
* @description Where to download from. Specific types specified in child classes.
*/
source: string;
/**
* Access Token
* @description authorization token for protected resources
*/
access_token?: string | null;
/**
* Priority
* @description Queue priority; lower values are higher priority
* @default 10
*/
priority?: number;
/**
* Job Started
* @description Timestamp for when the download job started
*/
job_started?: string | null;
/**
* Job Ended
* @description Timestamp for when the download job ende1d (completed or errored)
*/
job_ended?: string | null;
/**
* Content Type
* @description Content type of downloaded file
*/
content_type?: string | null;
};
/**
* DownloadJobStatus
@ -7276,144 +7276,144 @@ export type components = {
project_id: string | null;
};
InvocationOutputMap: {
pidi_image_processor: components["schemas"]["ImageOutput"];
image_mask_to_tensor: components["schemas"]["MaskOutput"];
vae_loader: components["schemas"]["VAEOutput"];
collect: components["schemas"]["CollectInvocationOutput"];
string_join_three: components["schemas"]["StringOutput"];
content_shuffle_image_processor: components["schemas"]["ImageOutput"];
random_range: components["schemas"]["IntegerCollectionOutput"];
ip_adapter: components["schemas"]["IPAdapterOutput"];
step_param_easing: components["schemas"]["FloatCollectionOutput"];
core_metadata: components["schemas"]["MetadataOutput"];
main_model_loader: components["schemas"]["ModelLoaderOutput"];
leres_image_processor: components["schemas"]["ImageOutput"];
calculate_image_tiles_even_split: components["schemas"]["CalculateImageTilesOutput"];
color_correct: components["schemas"]["ImageOutput"];
calculate_image_tiles: components["schemas"]["CalculateImageTilesOutput"];
float_range: components["schemas"]["FloatCollectionOutput"];
infill_cv2: components["schemas"]["ImageOutput"];
img_channel_multiply: components["schemas"]["ImageOutput"];
img_pad_crop: components["schemas"]["ImageOutput"];
sdxl_refiner_compel_prompt: components["schemas"]["ConditioningOutput"];
face_mask_detection: components["schemas"]["FaceMaskOutput"];
infill_lama: components["schemas"]["ImageOutput"];
mask_combine: components["schemas"]["ImageOutput"];
sdxl_compel_prompt: components["schemas"]["ConditioningOutput"];
segment_anything_processor: components["schemas"]["ImageOutput"];
merge_metadata: components["schemas"]["MetadataOutput"];
img_ilerp: components["schemas"]["ImageOutput"];
heuristic_resize: components["schemas"]["ImageOutput"];
cv_inpaint: components["schemas"]["ImageOutput"];
div: components["schemas"]["IntegerOutput"];
pair_tile_image: components["schemas"]["PairTileImageOutput"];
float_math: components["schemas"]["FloatOutput"];
img_channel_offset: components["schemas"]["ImageOutput"];
canvas_paste_back: components["schemas"]["ImageOutput"];
canny_image_processor: components["schemas"]["ImageOutput"];
integer_collection: components["schemas"]["IntegerCollectionOutput"];
freeu: components["schemas"]["UNetOutput"];
lresize: components["schemas"]["LatentsOutput"];
range_of_size: components["schemas"]["IntegerCollectionOutput"];
depth_anything_image_processor: components["schemas"]["ImageOutput"];
float_to_int: components["schemas"]["IntegerOutput"];
rand_int: components["schemas"]["IntegerOutput"];
lineart_anime_image_processor: components["schemas"]["ImageOutput"];
string_split: components["schemas"]["String2Output"];
img_nsfw: components["schemas"]["ImageOutput"];
string: components["schemas"]["StringOutput"];
mask_edge: components["schemas"]["ImageOutput"];
i2l: components["schemas"]["LatentsOutput"];
face_identifier: components["schemas"]["ImageOutput"];
compel: components["schemas"]["ConditioningOutput"];
esrgan: components["schemas"]["ImageOutput"];
seamless: components["schemas"]["SeamlessModeOutput"];
mask_from_id: components["schemas"]["ImageOutput"];
invert_tensor_mask: components["schemas"]["MaskOutput"];
rectangle_mask: components["schemas"]["MaskOutput"];
conditioning: components["schemas"]["ConditioningOutput"];
t2i_adapter: components["schemas"]["T2IAdapterOutput"];
string_collection: components["schemas"]["StringCollectionOutput"];
show_image: components["schemas"]["ImageOutput"];
dw_openpose_image_processor: components["schemas"]["ImageOutput"];
string_split_neg: components["schemas"]["StringPosNegOutput"];
conditioning_collection: components["schemas"]["ConditioningCollectionOutput"];
infill_patchmatch: components["schemas"]["ImageOutput"];
img_conv: components["schemas"]["ImageOutput"];
unsharp_mask: components["schemas"]["ImageOutput"];
metadata_item: components["schemas"]["MetadataItemOutput"];
image: components["schemas"]["ImageOutput"];
image_collection: components["schemas"]["ImageCollectionOutput"];
tile_to_properties: components["schemas"]["TileToPropertiesOutput"];
lblend: components["schemas"]["LatentsOutput"];
float: components["schemas"]["FloatOutput"];
boolean_collection: components["schemas"]["BooleanCollectionOutput"];
color: components["schemas"]["ColorOutput"];
midas_depth_image_processor: components["schemas"]["ImageOutput"];
zoe_depth_image_processor: components["schemas"]["ImageOutput"];
infill_rgba: components["schemas"]["ImageOutput"];
mlsd_image_processor: components["schemas"]["ImageOutput"];
merge_tiles_to_image: components["schemas"]["ImageOutput"];
prompt_from_file: components["schemas"]["StringCollectionOutput"];
boolean: components["schemas"]["BooleanOutput"];
create_gradient_mask: components["schemas"]["GradientMaskOutput"];
rand_float: components["schemas"]["FloatOutput"];
img_mul: components["schemas"]["ImageOutput"];
controlnet: components["schemas"]["ControlOutput"];
latents_collection: components["schemas"]["LatentsCollectionOutput"];
img_lerp: components["schemas"]["ImageOutput"];
noise: components["schemas"]["NoiseOutput"];
iterate: components["schemas"]["IterateInvocationOutput"];
lineart_image_processor: components["schemas"]["ImageOutput"];
tomask: components["schemas"]["ImageOutput"];
integer: components["schemas"]["IntegerOutput"];
create_denoise_mask: components["schemas"]["DenoiseMaskOutput"];
clip_skip: components["schemas"]["CLIPSkipInvocationOutput"];
denoise_latents: components["schemas"]["LatentsOutput"];
string_join: components["schemas"]["StringOutput"];
scheduler: components["schemas"]["SchedulerOutput"];
model_identifier: components["schemas"]["ModelIdentifierOutput"];
normalbae_image_processor: components["schemas"]["ImageOutput"];
face_off: components["schemas"]["FaceOffOutput"];
hed_image_processor: components["schemas"]["ImageOutput"];
img_paste: components["schemas"]["ImageOutput"];
img_chan: components["schemas"]["ImageOutput"];
img_watermark: components["schemas"]["ImageOutput"];
l2i: components["schemas"]["ImageOutput"];
string_replace: components["schemas"]["StringOutput"];
color_map_image_processor: components["schemas"]["ImageOutput"];
tile_image_processor: components["schemas"]["ImageOutput"];
crop_latents: components["schemas"]["LatentsOutput"];
sdxl_lora_collection_loader: components["schemas"]["SDXLLoRALoaderOutput"];
add: components["schemas"]["IntegerOutput"];
sub: components["schemas"]["IntegerOutput"];
img_scale: components["schemas"]["ImageOutput"];
range: components["schemas"]["IntegerCollectionOutput"];
dynamic_prompt: components["schemas"]["StringCollectionOutput"];
img_crop: components["schemas"]["ImageOutput"];
infill_tile: components["schemas"]["ImageOutput"];
img_resize: components["schemas"]["ImageOutput"];
mediapipe_face_processor: components["schemas"]["ImageOutput"];
sdxl_model_loader: components["schemas"]["SDXLModelLoaderOutput"];
lora_selector: components["schemas"]["LoRASelectorOutput"];
img_hue_adjust: components["schemas"]["ImageOutput"];
latents: components["schemas"]["LatentsOutput"];
lora_collection_loader: components["schemas"]["LoRALoaderOutput"];
img_blur: components["schemas"]["ImageOutput"];
ideal_size: components["schemas"]["IdealSizeOutput"];
float_collection: components["schemas"]["FloatCollectionOutput"];
blank_image: components["schemas"]["ImageOutput"];
integer_math: components["schemas"]["IntegerOutput"];
lora_loader: components["schemas"]["LoRALoaderOutput"];
metadata: components["schemas"]["MetadataOutput"];
sdxl_lora_loader: components["schemas"]["SDXLLoRALoaderOutput"];
round_float: components["schemas"]["FloatOutput"];
sdxl_refiner_model_loader: components["schemas"]["SDXLRefinerModelLoaderOutput"];
mul: components["schemas"]["IntegerOutput"];
alpha_mask_to_tensor: components["schemas"]["MaskOutput"];
lscale: components["schemas"]["LatentsOutput"];
hed_image_processor: components["schemas"]["ImageOutput"];
freeu: components["schemas"]["UNetOutput"];
pidi_image_processor: components["schemas"]["ImageOutput"];
sub: components["schemas"]["IntegerOutput"];
crop_latents: components["schemas"]["LatentsOutput"];
step_param_easing: components["schemas"]["FloatCollectionOutput"];
img_hue_adjust: components["schemas"]["ImageOutput"];
sdxl_lora_loader: components["schemas"]["SDXLLoRALoaderOutput"];
metadata: components["schemas"]["MetadataOutput"];
dynamic_prompt: components["schemas"]["StringCollectionOutput"];
boolean_collection: components["schemas"]["BooleanCollectionOutput"];
img_crop: components["schemas"]["ImageOutput"];
save_image: components["schemas"]["ImageOutput"];
tile_image_processor: components["schemas"]["ImageOutput"];
t2i_adapter: components["schemas"]["T2IAdapterOutput"];
float_to_int: components["schemas"]["IntegerOutput"];
prompt_from_file: components["schemas"]["StringCollectionOutput"];
lora_collection_loader: components["schemas"]["LoRALoaderOutput"];
integer_collection: components["schemas"]["IntegerCollectionOutput"];
string_split: components["schemas"]["String2Output"];
i2l: components["schemas"]["LatentsOutput"];
img_nsfw: components["schemas"]["ImageOutput"];
calculate_image_tiles: components["schemas"]["CalculateImageTilesOutput"];
zoe_depth_image_processor: components["schemas"]["ImageOutput"];
img_mul: components["schemas"]["ImageOutput"];
image_mask_to_tensor: components["schemas"]["MaskOutput"];
rand_int: components["schemas"]["IntegerOutput"];
lscale: components["schemas"]["LatentsOutput"];
img_conv: components["schemas"]["ImageOutput"];
random_range: components["schemas"]["IntegerCollectionOutput"];
img_channel_offset: components["schemas"]["ImageOutput"];
denoise_latents: components["schemas"]["LatentsOutput"];
lresize: components["schemas"]["LatentsOutput"];
alpha_mask_to_tensor: components["schemas"]["MaskOutput"];
show_image: components["schemas"]["ImageOutput"];
conditioning: components["schemas"]["ConditioningOutput"];
canny_image_processor: components["schemas"]["ImageOutput"];
create_denoise_mask: components["schemas"]["DenoiseMaskOutput"];
boolean: components["schemas"]["BooleanOutput"];
image: components["schemas"]["ImageOutput"];
calculate_image_tiles_min_overlap: components["schemas"]["CalculateImageTilesOutput"];
infill_patchmatch: components["schemas"]["ImageOutput"];
mediapipe_face_processor: components["schemas"]["ImageOutput"];
face_mask_detection: components["schemas"]["FaceMaskOutput"];
string_split_neg: components["schemas"]["StringPosNegOutput"];
normalbae_image_processor: components["schemas"]["ImageOutput"];
create_gradient_mask: components["schemas"]["GradientMaskOutput"];
blank_image: components["schemas"]["ImageOutput"];
calculate_image_tiles_even_split: components["schemas"]["CalculateImageTilesOutput"];
range: components["schemas"]["IntegerCollectionOutput"];
float_collection: components["schemas"]["FloatCollectionOutput"];
scheduler: components["schemas"]["SchedulerOutput"];
latents_collection: components["schemas"]["LatentsCollectionOutput"];
color_correct: components["schemas"]["ImageOutput"];
midas_depth_image_processor: components["schemas"]["ImageOutput"];
rand_float: components["schemas"]["FloatOutput"];
lblend: components["schemas"]["LatentsOutput"];
compel: components["schemas"]["ConditioningOutput"];
leres_image_processor: components["schemas"]["ImageOutput"];
float: components["schemas"]["FloatOutput"];
img_paste: components["schemas"]["ImageOutput"];
metadata_item: components["schemas"]["MetadataItemOutput"];
color: components["schemas"]["ColorOutput"];
string_collection: components["schemas"]["StringCollectionOutput"];
string_join: components["schemas"]["StringOutput"];
conditioning_collection: components["schemas"]["ConditioningCollectionOutput"];
segment_anything_processor: components["schemas"]["ImageOutput"];
mul: components["schemas"]["IntegerOutput"];
cv_inpaint: components["schemas"]["ImageOutput"];
tile_to_properties: components["schemas"]["TileToPropertiesOutput"];
sdxl_compel_prompt: components["schemas"]["ConditioningOutput"];
model_identifier: components["schemas"]["ModelIdentifierOutput"];
canvas_paste_back: components["schemas"]["ImageOutput"];
string: components["schemas"]["StringOutput"];
latents: components["schemas"]["LatentsOutput"];
img_ilerp: components["schemas"]["ImageOutput"];
collect: components["schemas"]["CollectInvocationOutput"];
face_identifier: components["schemas"]["ImageOutput"];
img_lerp: components["schemas"]["ImageOutput"];
l2i: components["schemas"]["ImageOutput"];
float_math: components["schemas"]["FloatOutput"];
unsharp_mask: components["schemas"]["ImageOutput"];
clip_skip: components["schemas"]["CLIPSkipInvocationOutput"];
esrgan: components["schemas"]["ImageOutput"];
image_collection: components["schemas"]["ImageCollectionOutput"];
vae_loader: components["schemas"]["VAEOutput"];
mask_combine: components["schemas"]["ImageOutput"];
infill_lama: components["schemas"]["ImageOutput"];
integer_math: components["schemas"]["IntegerOutput"];
core_metadata: components["schemas"]["MetadataOutput"];
sdxl_refiner_compel_prompt: components["schemas"]["ConditioningOutput"];
color_map_image_processor: components["schemas"]["ImageOutput"];
mask_from_id: components["schemas"]["ImageOutput"];
depth_anything_image_processor: components["schemas"]["ImageOutput"];
noise: components["schemas"]["NoiseOutput"];
mask_edge: components["schemas"]["ImageOutput"];
controlnet: components["schemas"]["ControlOutput"];
merge_metadata: components["schemas"]["MetadataOutput"];
string_join_three: components["schemas"]["StringOutput"];
mlsd_image_processor: components["schemas"]["ImageOutput"];
rectangle_mask: components["schemas"]["MaskOutput"];
img_resize: components["schemas"]["ImageOutput"];
range_of_size: components["schemas"]["IntegerCollectionOutput"];
infill_rgba: components["schemas"]["ImageOutput"];
heuristic_resize: components["schemas"]["ImageOutput"];
img_pad_crop: components["schemas"]["ImageOutput"];
lineart_image_processor: components["schemas"]["ImageOutput"];
infill_cv2: components["schemas"]["ImageOutput"];
ip_adapter: components["schemas"]["IPAdapterOutput"];
ideal_size: components["schemas"]["IdealSizeOutput"];
div: components["schemas"]["IntegerOutput"];
float_range: components["schemas"]["FloatCollectionOutput"];
seamless: components["schemas"]["SeamlessModeOutput"];
pair_tile_image: components["schemas"]["PairTileImageOutput"];
invert_tensor_mask: components["schemas"]["MaskOutput"];
add: components["schemas"]["IntegerOutput"];
main_model_loader: components["schemas"]["ModelLoaderOutput"];
face_off: components["schemas"]["FaceOffOutput"];
integer: components["schemas"]["IntegerOutput"];
img_blur: components["schemas"]["ImageOutput"];
img_watermark: components["schemas"]["ImageOutput"];
lora_selector: components["schemas"]["LoRASelectorOutput"];
dw_openpose_image_processor: components["schemas"]["ImageOutput"];
img_chan: components["schemas"]["ImageOutput"];
string_replace: components["schemas"]["StringOutput"];
sdxl_lora_collection_loader: components["schemas"]["SDXLLoRALoaderOutput"];
content_shuffle_image_processor: components["schemas"]["ImageOutput"];
lora_loader: components["schemas"]["LoRALoaderOutput"];
infill_tile: components["schemas"]["ImageOutput"];
tomask: components["schemas"]["ImageOutput"];
sdxl_model_loader: components["schemas"]["SDXLModelLoaderOutput"];
merge_tiles_to_image: components["schemas"]["ImageOutput"];
lineart_anime_image_processor: components["schemas"]["ImageOutput"];
round_float: components["schemas"]["FloatOutput"];
img_channel_multiply: components["schemas"]["ImageOutput"];
img_scale: components["schemas"]["ImageOutput"];
iterate: components["schemas"]["IterateInvocationOutput"];
};
/**
* InvocationStartedEvent
@ -10671,8 +10671,9 @@ export type components = {
/**
* Size
* @description The size of this file, in bytes
* @default 0
*/
size: number;
size?: number | null;
/**
* Sha256
* @description SHA256 hash of this model (not always available)
@ -12301,7 +12302,7 @@ export type components = {
* @description Submodel type.
* @enum {string}
*/
SubModelType: "unet" | "text_encoder" | "text_encoder_2" | "tokenizer" | "tokenizer_2" | "vae" | "vae_decoder" | "vae_encoder" | "scheduler" | "safety_checker";
SubModelType: "unet" | "text_encoder" | "text_encoder_2" | "text_encoder_3" | "tokenizer" | "tokenizer_2" | "tokenizer_3" | "transformer" | "vae" | "vae_decoder" | "vae_encoder" | "scheduler" | "safety_checker";
/**
* Subtract Integers
* @description Subtracts two numbers

2
invokeai/frontend/web/src/services/api/types.ts
View File

@ -109,7 +109,7 @@ export const isSDXLMainModelModelConfig = (config: AnyModelConfig): config is Ma
};
export const isNonSDXLMainModelConfig = (config: AnyModelConfig): config is MainModelConfig => {
return config.type === 'main' && (config.base === 'sd-1' || config.base === 'sd-2');
return config.type === 'main' && (config.base === 'sd-1' || config.base === 'sd-2' || config.base === 'sd-3');
};
export const isTIModelConfig = (config: AnyModelConfig): config is MainModelConfig => {