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API Reference
Models

Get Bulk

client.models.getBulk(ModelGetBulkParams { originalAssets, allTrainingImages, minimal, 4 more } params, RequestOptionsoptions?): ModelGetBulkResponse { models }
POST/models/get-bulk

Get multiple models by their modelIds

ParametersExpand Collapse
params: ModelGetBulkParams { originalAssets, allTrainingImages, minimal, 4 more }
originalAssets?: boolean

Query param: If set to true, returns the original asset without transformation

allTrainingImages?: boolean

Body param: If true will return all training images; otherwise returns only the first 3 training images.

If trainingImagesPreview set to true, this parameter is ignored.

minimal?: boolean

Body param: If true will return only the base details of the model (id, name, type)

if true, all other parameters are ignored

modelIds?: Array<string>

Body param: The list of model IDs to include in the response

settings?: boolean

Body param: If true, will return the settings: promptEmbedding and negativePromptEmbedding.

thumbnail?: boolean

Body param: If true will return the thumbnail, when no thumbnail is set, will try to fetch the first training image instead.

trainingImagesPreview?: boolean

Body param: If true will return the first 3 training images; otherwise returns the full training images.

If allTrainingImages set to true, this parameter is ignored.

ReturnsExpand Collapse
ModelGetBulkResponse { models }
models: Array<Model>
id: string

The model ID (example: “model_eyVcnFJcR92BxBkz7N6g5w”)

privacy: "private" | "public" | "unlisted"

The privacy of the model (default: private)

One of the following:
"private"
"public"
"unlisted"
type: "custom" | "elevenlabs-voice" | "flux.1" | 34 more

The model type (example: “flux.1-lora”)

One of the following:
"custom"
"elevenlabs-voice"
"flux.1"
"flux.1-composition"
"flux.1-kontext-dev"
"flux.1-kontext-lora"
"flux.1-krea-dev"
"flux.1-krea-lora"
"flux.1-lora"
"flux.1-pro"
"flux.1.1-pro-ultra"
"flux.2-dev-edit-lora"
"flux.2-dev-lora"
"flux.2-klein-4b-edit-lora"
"flux.2-klein-4b-lora"
"flux.2-klein-9b-edit-lora"
"flux.2-klein-9b-lora"
"flux.2-klein-base-4b-edit-lora"
"flux.2-klein-base-4b-lora"
"flux.2-klein-base-9b-edit-lora"
"flux.2-klein-base-9b-lora"
"flux1.1-pro"
"gpt-image-1"
"qwen-image-2512-lora"
"qwen-image-edit-2509-lora"
"qwen-image-edit-2511-lora"
"qwen-image-edit-lora"
"qwen-image-lora"
"sd-1_5"
"sd-1_5-composition"
"sd-1_5-lora"
"sd-xl"
"sd-xl-composition"
"sd-xl-lora"
"zimage-de-turbo-lora"
"zimage-lora"
"zimage-turbo-lora"
accessRestrictions?: 0 | 100 | 25 | 2 more

The access restrictions of the model 0: Free plan 25: Creator plan 50: Pro plan 75: Team plan 100: Enterprise plan

One of the following:
0
100
25
50
75
authorId?: string

The author user ID (example: “user_VFhihHKMRZyDDnZAJwLb2Q”)

capabilities?: Array<"3d23d" | "audio2audio" | "audio2video" | 29 more>

List of model capabilities (example: [“txt2img”, “img2img”, “txt2img_ip_adapter”, …])

One of the following:
"3d23d"
"audio2audio"
"audio2video"
"controlnet"
"controlnet_img2img"
"controlnet_inpaint"
"controlnet_inpaint_ip_adapter"
"controlnet_ip_adapter"
"controlnet_reference"
"controlnet_texture"
"img23d"
"img2img"
"img2img_ip_adapter"
"img2img_texture"
"img2txt"
"img2video"
"inpaint"
"inpaint_ip_adapter"
"outpaint"
"reference"
"reference_texture"
"txt23d"
"txt2audio"
"txt2img"
"txt2img_ip_adapter"
"txt2img_texture"
"txt2txt"
"txt2video"
"video23d"
"video2audio"
"video2img"
"video2video"
class?: Class { category, conceptPrompt, modelId, 5 more }

The class of the model

category: string

The category slug of the class (example: “art-style”)

conceptPrompt: string

The concept prompt of the class (example: “a sks character design”)

modelId: string

The model ID of the class (example: “stable-diffusion-v1-5”)

name: string

The class name (example: “Character Design”)

prompt: string

The class prompt (example: “a character design”)

slug: string

The class slug (example: “art-style-character-design”)

status: "published" | "unpublished"

The class status (only published classes are listed, but unpublished classes can still appear in existing models)

One of the following:
"published"
"unpublished"
thumbnails: Array<string>

Some example images URLs to showcase the class

collectionIds?: Array<string>

A list of CollectionId this model belongs to

compliantModelIds?: Array<string>

List of base model IDs compliant with the model (example: [“flux.1-dev”, “flux.1-schnell”]) This attribute is mainly used for Flux LoRA models

concepts?: Array<Concept>

The concepts is required for the type model: composition

modelId: string

The model ID (example: “model_eyVcnFJcR92BxBkz7N6g5w”)

scale: number

The scale of the model (example: 1.0) For Flux Kontext Prompt Editing, the scale is between 0 and 2.

maximum2
minimum-2
modelEpoch?: string

The epoch of the model (example: “000001”) Only available for Flux Lora Trained models

createdAt?: string

The model creation date as an ISO string (example: “2023-02-03T11:19:41.579Z”)

custom?: boolean

Whether the model is a custom model and can be used only with POST /generate/custom/{modelId} endpoint

epoch?: string

The epoch of the model. Only available for Flux Lora Trained models. If not set, uses the final model epoch (latest)

epochs?: Array<Epoch>

The epochs of the model. Only available for Flux Lora Trained models.

epoch: string

The epoch hash to identify the epoch

assets?: Array<Asset>

The assets of the epoch if sample prompts as been supplied during training

assetId: string

The AssetId of the image during training (example: “asset_GTrL3mq4SXWyMxkOHRxlpw”)

url: string

The url of the asset

exampleAssetIds?: Array<string>

List of all example asset IDs setup by the model owner

inputs?: Array<Input>

The inputs of the model. Only used for custom models. To retrieve this list, get it by modelId with GET /models/{modelId}

name: string

The name that must be user to call the model through the API

type: "boolean" | "file" | "file_array" | 7 more

The data type of the input

One of the following:
"boolean"
"file"
"file_array"
"inputs_array"
"model"
"model_array"
"number"
"number_array"
"string"
"string_array"
allowedValues?: Array<unknown>

The allowed values for the input. For `string` or `number` types, creates a single-select dropdown. For `string_array` type, creates a multi-select dropdown.

backgroundBehavior?: "opaque" | "transparent"

Specifies the background behavior for the input. Only available for `file` and `file_array` input types with kind `image`.

One of the following:
"opaque"
"transparent"
color?: boolean

Whether the input is a color or not. Only available for `string` input type.

costImpact?: boolean

Whether this input affects the model’s cost calculation

default?: unknown

The default value for the input

description?: string

Help text displayed in the UI to provide additional information about the input

group?: string

Used to visually group inputs together in the UI. Inputs with the same group value appear consecutively in the UI.

hint?: string

Hint text displayed in the UI as a tooltip to guide the user

inputs?: Array<Record<string, unknown>>

The list of inputs which form an object within a container array. All inputs are the same as the current object. This is only available for type inputs_array inputs.

kind?: "3d" | "audio" | "document" | 4 more

The asset kind of the input. Only taken into account for `file` and `file_array` input types. If model provides multiple kinds, the input will be not able to create the asset on the flight on API side with dataurl without data:kind, prefix

One of the following:
"3d"
"audio"
"document"
"image"
"image-hdr"
"json"
"video"
label?: string

The label displayed in the UI for this input

maskFrom?: string

The name of the file input field to use as the mask source

max?: number

The maximum allowed value. Only available for `number` and `array` input types.

maxLength?: number

The maximum allowed length for `string` inputs. Also applies to each item in `string_array`.

maxSize?: number

The maximum allowed file size in bytes. Only applies to `file` and `file_array` input types. Validated against `asset.properties.size` at job creation time.

min?: number

The minimum allowed value. Only available for `number` and array input types.

minLength?: number

The minimum allowed length for string inputs. Also applies to each item in `string_array`.

modelTypes?: Array<"custom" | "elevenlabs-voice" | "flux.1" | 34 more>

The allowed model types for this input. Example: `[“flux.1-lora”]`. Only available for `model_array` input type.

One of the following:
"custom"
"elevenlabs-voice"
"flux.1"
"flux.1-composition"
"flux.1-kontext-dev"
"flux.1-kontext-lora"
"flux.1-krea-dev"
"flux.1-krea-lora"
"flux.1-lora"
"flux.1-pro"
"flux.1.1-pro-ultra"
"flux.2-dev-edit-lora"
"flux.2-dev-lora"
"flux.2-klein-4b-edit-lora"
"flux.2-klein-4b-lora"
"flux.2-klein-9b-edit-lora"
"flux.2-klein-9b-lora"
"flux.2-klein-base-4b-edit-lora"
"flux.2-klein-base-4b-lora"
"flux.2-klein-base-9b-edit-lora"
"flux.2-klein-base-9b-lora"
"flux1.1-pro"
"gpt-image-1"
"qwen-image-2512-lora"
"qwen-image-edit-2509-lora"
"qwen-image-edit-2511-lora"
"qwen-image-edit-lora"
"qwen-image-lora"
"sd-1_5"
"sd-1_5-composition"
"sd-1_5-lora"
"sd-xl"
"sd-xl-composition"
"sd-xl-lora"
"zimage-de-turbo-lora"
"zimage-lora"
"zimage-turbo-lora"
parent?: boolean

Whether this input represents a parent asset to assign to the produced assets. Only available for `file` and `file_array` input types.

For `file_array`, the parent asset is the first item in the array.

placeholder?: string

Placeholder text for the input. Only available for ‘string’ input type.

prompt?: boolean

Whether the input is a prompt. When true, displays as a text area with prompt spark feature. Only available for `string` input type.

promptSpark?: boolean

Whether the input is used with prompt spark. Only available for `string` input type.

required?: Required { always, conditionalValues, ifDefined, ifNotDefined }

Set of rules that describes when this input is required:

  • `always`: Input is always required
  • `ifNotDefined`: Input is required when another specified input is not defined
  • `ifDefined`: Input is required when another specified input is defined
  • `conditionalValues`: Input is required when another input has a specific value

By default, the input is not required.

always?: boolean

Whether the input is always required

conditionalValues?: unknown

Makes this input required when another input has a specific value:

  • Key: name of the input to check
  • Value: operation and allowed values that trigger the requirement
ifDefined?: unknown

Makes this input required when another input is defined:

  • Key: name of the input that must be defined
  • Value: message to display when this input is required
ifNotDefined?: unknown

Makes this input required when another input is not defined:

  • Key: name of the input that must be undefined
  • Value: message to display when this input is required
step?: number

The step increment for numeric inputs. Only available for `number` input type.

minimum1
modelKeyword?: string

The model keyword, this is a legacy parameter, please use conceptPrompt in parameters

name?: string

The model name (example: “Cinematic Realism”)

negativePromptEmbedding?: string

Fine-tune the model’s inferences with negative prompt embedding

ownerId?: string

The owner ID (example: “team_VFhihHKMRZyDDnZAJwLb2Q”)

parameters?: Parameters { age, batchSize, classPrompt, 29 more }

The parameters of the model

age?: string

Age group of the voice (for professional cloning)

Only available for ElevenLabs voice training

batchSize?: number

The batch size Less steps, and will increase the learning rate

Only available for Flux LoRA training

maximum4
minimum1
classPrompt?: string

The prompt to specify images in the same class as provided instance images

Only available for SD15 training

cloneType?: string

Type of voice cloning: “instant” (fast) or “professional” (higher quality, requires captcha)

Only available for ElevenLabs voice training

conceptPrompt?: string

The prompt with identifier specifying the instance (or subject) of the class (example: “a daiton dog”)

Default value varies depending on the model type:

  • For SD1.5: “daiton” if no class is associated with the model
  • For SDXL: “daiton”
  • For Flux: ""
gender?: string

Gender of the voice (for professional cloning)

Only available for ElevenLabs voice training

language?: string

Language of the audio samples (ISO 639-1 code)

Only available for ElevenLabs voice training

learningRate?: number

Initial learning rate (after the potential warmup period)

Default value varies depending on the model type:

  • For SD1.5 and SDXL: 0.000005
  • For Flux: 0.0001
exclusiveMinimum
minimum0
learningRateTextEncoder?: number

Initial learning rate (after the potential warmup period) for the text encoder

Maximum [Flux LoRA: 0.001] Default [SDXL: 0.00005 | Flux LoRA: 0.00001] Minimum [SDXL: 0 | Flux LoRA: 0.000001]

exclusiveMinimum
maximum0.001
minimum0
learningRateUnet?: number

Initial learning rate (after the potential warmup period) for the UNet

Only available for SDXL LoRA training

exclusiveMinimum
minimum0
lrScheduler?: "constant" | "constant-with-warmup" | "cosine" | 3 more

The scheduler type to use (default: “constant”)

Only available for SD15 and SDXL LoRA training

One of the following:
"constant"
"constant-with-warmup"
"cosine"
"cosine-with-restarts"
"linear"
"polynomial"
maxTrainSteps?: number

Maximum number of training steps to execute (default: varies depending on the model type)

For SDXL LoRA training, please use numTextTrainSteps and numUNetTrainSteps instead

Default value varies depending on the model type:

  • For SD1.5: round((number of training images * 225) / 3)
  • For SDXL: number of training images * 175
  • For Flux: number of training images * 100

Maximum value varies depending on the model type:

  • For SD1.5 and SDXL: [0, 40000]
  • For Flux: [0, 10000]
maximum40000
minimum0
nbEpochs?: number

The number of epochs to train for

Only available for Flux LoRA training

maximum30
minimum1
nbRepeats?: number

The number of times to repeat the training

Only available for Flux LoRA training

maximum30
minimum1
numTextTrainSteps?: number

The number of training steps for the text encoder

Only available for SDXL LoRA training

maximum40000
minimum0
numUNetTrainSteps?: number

The number of training steps for the UNet

Only available for SDXL LoRA training

maximum40000
minimum0
optimizeFor?: "likeness"

Optimize the model training task for a specific type of input images. The available values are:

  • “likeness”: optimize training for likeness or portrait (targets specific transformer blocks)
  • “all”: train all transformer blocks
  • “none”: train no specific transformer blocks

This parameter controls which double and single transformer blocks are trained during the LoRA training process.

Only available for Flux LoRA training

priorLossWeight?: number

The weight of prior preservation loss

Only available for SD15 and SDXL LoRA training

exclusiveMinimum
maximum1.7976931348623157
minimum0
randomCrop?: boolean

Whether to random crop or center crop images before resizing to the working resolution

Only available for SD15 and SDXL LoRA training

randomCropRatio?: number

Ratio of random crops

Only available for SD15 and SDXL LoRA training

maximum1
minimum0
randomCropScale?: number

Scale of random crops

Only available for SD15 and SDXL LoRA training

maximum1
minimum0
rank?: number

The dimension of the LoRA update matrices

Only available for SDXL (deprecated), Flux LoRA and Musubi training

Default value varies depending on the model type:

  • For SDXL (deprecated): 64
  • For Flux: 16
  • For Musubi: 64

Each trainer enforces its own tighter limit (Flux LoRA: [2; 64], Musubi: [2; 128])

maximum128
minimum2
removeBackgroundNoise?: boolean

Whether to remove background noise from audio samples before cloning. When enabled, each sample must be at least 5 seconds long.

Only available for ElevenLabs voice training

samplePrompts?: Array<string>

The prompts to use for each epoch Only available for Flux LoRA training

sampleSourceImages?: Array<string>

The sample prompt images (AssetIds) paired with samplePrompts Only available for Flux LoRA training Must be the same length as samplePrompts

scaleLr?: boolean

Whether to scale the learning rate

Note: Legacy parameter, will be ignored

Only available for SD15 and SDXL LoRA training

seed?: number

Used to reproduce previous results. Default: randomly generated number.

Only available for SD15 and SDXL LoRA training

maximum9007199254740991
minimum0
textEncoderTrainingRatio?: number

Whether to train the text encoder or not

Example: For 100 steps and a value of 0.2, it means that the text encoder will be trained for 20 steps and then the UNet for 80 steps

Note: Legacy parameter, please use numTextTrainSteps and numUNetTrainSteps

Only available for SD15 and SDXL LoRA training

maximum0.99
minimum0
validationFrequency?: number

Validation frequency. Cannot be greater than maxTrainSteps value

Only available for SD15 and SDXL LoRA training

minimum0
validationPrompt?: string

Validation prompt

Only available for SD15 and SDXL LoRA training

voiceDescription?: string

Description of the voice characteristics

Only available for ElevenLabs voice training

wandbKey?: string

The Weights And Bias key to use for logging. The maximum length is 40 characters

parentModelId?: string

The id of the parent model

performanceStats?: PerformanceStats { variants, default }

Aggregated performance stats

variants: Array<Variant>

Performance metrics per variant

capability: string

The generation capability (example: “txt2img”, “img2video”, “txt2audio”)

computedAt: string

When these stats were last computed (ISO date)

variantKey: string

Unique variant identifier (example: “txt2img:1K”, “img2video:2K”, “txt2audio”)

arenaScore?: ArenaScore { arenaCategory, arenaModelName, fetchedAt, 5 more }

External quality score from arena.ai leaderboard

arenaCategory: string

Arena category (example: “text_to_image”, “image_to_video”)

arenaModelName: string

Model name on arena.ai

fetchedAt: string

When this score was last fetched (ISO date)

rank: number

Rank in the arena category

rating: number

ELO rating

ratingLower: number

ELO rating confidence interval lower bound

ratingUpper: number

ELO rating confidence interval upper bound

votes: number

Number of human votes

costPerAssetMaxCU?: number

Maximum cost per output asset (CU)

costPerAssetMinCU?: number

Minimum cost per output asset (CU)

costPerAssetP50CU?: number

Median cost per output asset (CU)

inferenceLatencyP50Sec?: number

Inference latency P50 per output asset (seconds)

inferenceLatencyP75Sec?: number

Inference latency P75 per output asset (seconds)

resolution?: string

The resolution bucket (example: “0.5K”, “1K”, “2K”, “4K”)

totalLatencyP50Sec?: number

Total latency P50 per output asset, including queue time (seconds)

totalLatencyP75Sec?: number

Total latency P75 per output asset, including queue time (seconds)

default?: string

Default variant key for quick model comparison

promptEmbedding?: string

Fine-tune the model’s inferences with prompt embedding

shortDescription?: string

The model short description (example: “This model generates highly detailed cinematic scenes.”)

softDeletionOn?: string

The date when the model will be soft deleted (only for Free plan)

source?: "civitai" | "huggingface" | "other" | "scenario"

The source of the model

One of the following:
"civitai"
"huggingface"
"other"
"scenario"
status?: "copying" | "failed" | "new" | 3 more

The model status

One of the following:
"copying"
"failed"
"new"
"trained"
"training"
"training-canceled"
tags?: Array<string>

The associated tags (example: [“sci-fi”, “landscape”])

thumbnail?: Thumbnail { assetId, url }

A thumbnail for your model

assetId: string

The AssetId of the image used as a thumbnail for your model (example: “asset_GTrL3mq4SXWyMxkOHRxlpw”)

url: string

The url of the image used as a thumbnail for your model

trainingImagePairs?: Array<TrainingImagePair>

Array of training image pairs

instruction?: string

The instruction for the image pair, source to target

sourceId?: string

The source asset ID (must be a training asset)

targetId?: string

The target asset ID (must be a training asset)

trainingImages?: Array<TrainingImage>

The URLs of the first 3 training images of the model. To retrieve the full set of images, get it by modelId

id: string

The training image ID (example: “asset_GTrL3mq4SXWyMxkOHRxlpw”)

automaticCaptioning: string

Automatic captioning of the image

createdAt: string

The training image upload date as an ISO string (example: “2023-02-03T11:19:41.579Z”)

description: string

Description for the image

downloadUrl: string

The URL of the image

name: string

The original file name of the image (example: “my-training-image.jpg”)

trainingImagesNumber?: number

The total number of training images

trainingProgress?: TrainingProgress { stage, updatedAt, position, 3 more }

Additional information about the training progress of the model

stage: "pending" | "pending-captcha" | "queued-for-train" | 2 more

The stage of the request

One of the following:
"pending"
"pending-captcha"
"queued-for-train"
"running-train"
"starting-train"
updatedAt: number

Timestamp in milliseconds of the last time the training progress was updated

position?: number

Position of the job in the queue (ie. the number of job in the queue before this one)

progress?: number

The progress of the job

maximum1
minimum0
remainingTimeMs?: number

The remaining time in milliseconds

startedAt?: number

The timestamp in millisecond marking the start of the process

trainingStats?: TrainingStats { endedAt, queueDuration, startedAt, trainDuration }

Additional information about the model’s training

endedAt?: string

The training end time as an ISO date string

queueDuration?: number

The training queued duration in seconds

startedAt?: string

The training start time as an ISO date string

trainDuration?: number

The training duration in seconds

uiConfig?: UiConfig { inputProperties, lorasComponent, presets, 3 more }

The UI configuration for the model

inputProperties?: Record<string, InputProperties>

Configuration for the input properties

collapsed?: boolean
lorasComponent?: LorasComponent { label, modelInput, scaleInput, modelIdInput }

Configuration for the loras component

label: string

The label of the component

modelInput: string

The input name of the model (model_array)

scaleInput: string

The input name of the scale (number_array)

modelIdInput?: string

The input model id (example: a composition or a single LoRA modelId) If specified, the model id will be attached to the output asset as a metadata If the model-decomposer parser is specified on it, modelInput and scaleInput will be automatically populated

presets?: Array<Preset>

Configuration for the presets

fields: Array<string>
presets: unknown
resolutionComponent?: ResolutionComponent { heightInput, label, presets, widthInput }

Configuration for the resolution component

heightInput: string

The input name of the height

label: string

The label of the component

presets: Array<Preset>

The resolution presets

height: number
label: string
width: number
widthInput: string

The input name of the width

selects?: Record<string, unknown>

Configuration for the selects

triggerGenerate?: TriggerGenerate { label, after, position }

Configuration for the trigger generate button

label: string
after?: string

The ‘name’ of the input where the trigger generate button will be displayed (after the input). Do not specify both position and after.

position?: "bottom" | "top"

The position of the trigger generate button. If position specified, the button will be displayed at the specified position. Do not specify both position and after.

One of the following:
"bottom"
"top"
updatedAt?: string

The model last update date as an ISO string (example: “2023-02-03T11:19:41.579Z”)

userId?: string

(Deprecated) The user ID (example: “user_VFhihHKMRZyDDnZAJwLb2Q”)

Get Bulk

import Scenario from '@scenario-labs/sdk';

const client = new Scenario({
  apiKey: process.env['SCENARIO_SDK_API_KEY'], // This is the default and can be omitted
  apiSecret: process.env['SCENARIO_SDK_API_SECRET'], // This is the default and can be omitted
});

const response = await client.models.getBulk();

console.log(response.models);
{
  "models": [
    {
      "id": "id",
      "privacy": "private",
      "type": "custom",
      "accessRestrictions": 0,
      "authorId": "authorId",
      "capabilities": [
        "3d23d"
      ],
      "class": {
        "category": "category",
        "conceptPrompt": "conceptPrompt",
        "modelId": "modelId",
        "name": "name",
        "prompt": "prompt",
        "slug": "slug",
        "status": "published",
        "thumbnails": [
          "string"
        ]
      },
      "collectionIds": [
        "string"
      ],
      "compliantModelIds": [
        "string"
      ],
      "concepts": [
        {
          "modelId": "modelId",
          "scale": -2,
          "modelEpoch": "modelEpoch"
        }
      ],
      "createdAt": "createdAt",
      "custom": true,
      "epoch": "epoch",
      "epochs": [
        {
          "epoch": "epoch",
          "assets": [
            {
              "assetId": "assetId",
              "url": "url"
            }
          ]
        }
      ],
      "exampleAssetIds": [
        "string"
      ],
      "inputs": [
        {
          "name": "name",
          "type": "boolean",
          "allowedValues": [
            {}
          ],
          "backgroundBehavior": "opaque",
          "color": true,
          "costImpact": true,
          "default": {},
          "description": "description",
          "group": "group",
          "hint": "hint",
          "inputs": [
            {
              "foo": "bar"
            }
          ],
          "kind": "3d",
          "label": "label",
          "maskFrom": "maskFrom",
          "max": 0,
          "maxLength": 0,
          "maxSize": 0,
          "min": 0,
          "minLength": 0,
          "modelTypes": [
            "custom"
          ],
          "parent": true,
          "placeholder": "placeholder",
          "prompt": true,
          "promptSpark": true,
          "required": {
            "always": true,
            "conditionalValues": {},
            "ifDefined": {},
            "ifNotDefined": {}
          },
          "step": 1
        }
      ],
      "modelKeyword": "modelKeyword",
      "name": "name",
      "negativePromptEmbedding": "negativePromptEmbedding",
      "ownerId": "ownerId",
      "parameters": {
        "age": "age",
        "batchSize": 1,
        "classPrompt": "classPrompt",
        "cloneType": "cloneType",
        "conceptPrompt": "conceptPrompt",
        "gender": "gender",
        "language": "language",
        "learningRate": 1,
        "learningRateTextEncoder": 0.0005,
        "learningRateUnet": 1,
        "lrScheduler": "constant",
        "maxTrainSteps": 0,
        "nbEpochs": 1,
        "nbRepeats": 1,
        "numTextTrainSteps": 0,
        "numUNetTrainSteps": 0,
        "optimizeFor": "likeness",
        "priorLossWeight": 1,
        "randomCrop": true,
        "randomCropRatio": 0,
        "randomCropScale": 0,
        "rank": 2,
        "removeBackgroundNoise": true,
        "samplePrompts": [
          "string"
        ],
        "sampleSourceImages": [
          "string"
        ],
        "scaleLr": true,
        "seed": 0,
        "textEncoderTrainingRatio": 0,
        "validationFrequency": 0,
        "validationPrompt": "validationPrompt",
        "voiceDescription": "voiceDescription",
        "wandbKey": "wandbKey"
      },
      "parentModelId": "parentModelId",
      "performanceStats": {
        "variants": [
          {
            "capability": "capability",
            "computedAt": "computedAt",
            "variantKey": "variantKey",
            "arenaScore": {
              "arenaCategory": "arenaCategory",
              "arenaModelName": "arenaModelName",
              "fetchedAt": "fetchedAt",
              "rank": 0,
              "rating": 0,
              "ratingLower": 0,
              "ratingUpper": 0,
              "votes": 0
            },
            "costPerAssetMaxCU": 0,
            "costPerAssetMinCU": 0,
            "costPerAssetP50CU": 0,
            "inferenceLatencyP50Sec": 0,
            "inferenceLatencyP75Sec": 0,
            "resolution": "resolution",
            "totalLatencyP50Sec": 0,
            "totalLatencyP75Sec": 0
          }
        ],
        "default": "default"
      },
      "promptEmbedding": "promptEmbedding",
      "shortDescription": "shortDescription",
      "softDeletionOn": "softDeletionOn",
      "source": "civitai",
      "status": "copying",
      "tags": [
        "string"
      ],
      "thumbnail": {
        "assetId": "assetId",
        "url": "url"
      },
      "trainingImagePairs": [
        {
          "instruction": "instruction",
          "sourceId": "sourceId",
          "targetId": "targetId"
        }
      ],
      "trainingImages": [
        {
          "id": "id",
          "automaticCaptioning": "automaticCaptioning",
          "createdAt": "createdAt",
          "description": "description",
          "downloadUrl": "downloadUrl",
          "name": "name"
        }
      ],
      "trainingImagesNumber": 0,
      "trainingProgress": {
        "stage": "pending",
        "updatedAt": 0,
        "position": 0,
        "progress": 0,
        "remainingTimeMs": 0,
        "startedAt": 0
      },
      "trainingStats": {
        "endedAt": "endedAt",
        "queueDuration": 0,
        "startedAt": "startedAt",
        "trainDuration": 0
      },
      "uiConfig": {
        "inputProperties": {
          "foo": {
            "collapsed": true
          }
        },
        "lorasComponent": {
          "label": "label",
          "modelInput": "modelInput",
          "scaleInput": "scaleInput",
          "modelIdInput": "modelIdInput"
        },
        "presets": [
          {
            "fields": [
              "string"
            ],
            "presets": {}
          }
        ],
        "resolutionComponent": {
          "heightInput": "heightInput",
          "label": "label",
          "presets": [
            {
              "height": 0,
              "label": "label",
              "width": 0
            }
          ],
          "widthInput": "widthInput"
        },
        "selects": {
          "foo": {}
        },
        "triggerGenerate": {
          "label": "label",
          "after": "after",
          "position": "bottom"
        }
      },
      "updatedAt": "updatedAt",
      "userId": "userId"
    }
  ]
}
Returns Examples
{
  "models": [
    {
      "id": "id",
      "privacy": "private",
      "type": "custom",
      "accessRestrictions": 0,
      "authorId": "authorId",
      "capabilities": [
        "3d23d"
      ],
      "class": {
        "category": "category",
        "conceptPrompt": "conceptPrompt",
        "modelId": "modelId",
        "name": "name",
        "prompt": "prompt",
        "slug": "slug",
        "status": "published",
        "thumbnails": [
          "string"
        ]
      },
      "collectionIds": [
        "string"
      ],
      "compliantModelIds": [
        "string"
      ],
      "concepts": [
        {
          "modelId": "modelId",
          "scale": -2,
          "modelEpoch": "modelEpoch"
        }
      ],
      "createdAt": "createdAt",
      "custom": true,
      "epoch": "epoch",
      "epochs": [
        {
          "epoch": "epoch",
          "assets": [
            {
              "assetId": "assetId",
              "url": "url"
            }
          ]
        }
      ],
      "exampleAssetIds": [
        "string"
      ],
      "inputs": [
        {
          "name": "name",
          "type": "boolean",
          "allowedValues": [
            {}
          ],
          "backgroundBehavior": "opaque",
          "color": true,
          "costImpact": true,
          "default": {},
          "description": "description",
          "group": "group",
          "hint": "hint",
          "inputs": [
            {
              "foo": "bar"
            }
          ],
          "kind": "3d",
          "label": "label",
          "maskFrom": "maskFrom",
          "max": 0,
          "maxLength": 0,
          "maxSize": 0,
          "min": 0,
          "minLength": 0,
          "modelTypes": [
            "custom"
          ],
          "parent": true,
          "placeholder": "placeholder",
          "prompt": true,
          "promptSpark": true,
          "required": {
            "always": true,
            "conditionalValues": {},
            "ifDefined": {},
            "ifNotDefined": {}
          },
          "step": 1
        }
      ],
      "modelKeyword": "modelKeyword",
      "name": "name",
      "negativePromptEmbedding": "negativePromptEmbedding",
      "ownerId": "ownerId",
      "parameters": {
        "age": "age",
        "batchSize": 1,
        "classPrompt": "classPrompt",
        "cloneType": "cloneType",
        "conceptPrompt": "conceptPrompt",
        "gender": "gender",
        "language": "language",
        "learningRate": 1,
        "learningRateTextEncoder": 0.0005,
        "learningRateUnet": 1,
        "lrScheduler": "constant",
        "maxTrainSteps": 0,
        "nbEpochs": 1,
        "nbRepeats": 1,
        "numTextTrainSteps": 0,
        "numUNetTrainSteps": 0,
        "optimizeFor": "likeness",
        "priorLossWeight": 1,
        "randomCrop": true,
        "randomCropRatio": 0,
        "randomCropScale": 0,
        "rank": 2,
        "removeBackgroundNoise": true,
        "samplePrompts": [
          "string"
        ],
        "sampleSourceImages": [
          "string"
        ],
        "scaleLr": true,
        "seed": 0,
        "textEncoderTrainingRatio": 0,
        "validationFrequency": 0,
        "validationPrompt": "validationPrompt",
        "voiceDescription": "voiceDescription",
        "wandbKey": "wandbKey"
      },
      "parentModelId": "parentModelId",
      "performanceStats": {
        "variants": [
          {
            "capability": "capability",
            "computedAt": "computedAt",
            "variantKey": "variantKey",
            "arenaScore": {
              "arenaCategory": "arenaCategory",
              "arenaModelName": "arenaModelName",
              "fetchedAt": "fetchedAt",
              "rank": 0,
              "rating": 0,
              "ratingLower": 0,
              "ratingUpper": 0,
              "votes": 0
            },
            "costPerAssetMaxCU": 0,
            "costPerAssetMinCU": 0,
            "costPerAssetP50CU": 0,
            "inferenceLatencyP50Sec": 0,
            "inferenceLatencyP75Sec": 0,
            "resolution": "resolution",
            "totalLatencyP50Sec": 0,
            "totalLatencyP75Sec": 0
          }
        ],
        "default": "default"
      },
      "promptEmbedding": "promptEmbedding",
      "shortDescription": "shortDescription",
      "softDeletionOn": "softDeletionOn",
      "source": "civitai",
      "status": "copying",
      "tags": [
        "string"
      ],
      "thumbnail": {
        "assetId": "assetId",
        "url": "url"
      },
      "trainingImagePairs": [
        {
          "instruction": "instruction",
          "sourceId": "sourceId",
          "targetId": "targetId"
        }
      ],
      "trainingImages": [
        {
          "id": "id",
          "automaticCaptioning": "automaticCaptioning",
          "createdAt": "createdAt",
          "description": "description",
          "downloadUrl": "downloadUrl",
          "name": "name"
        }
      ],
      "trainingImagesNumber": 0,
      "trainingProgress": {
        "stage": "pending",
        "updatedAt": 0,
        "position": 0,
        "progress": 0,
        "remainingTimeMs": 0,
        "startedAt": 0
      },
      "trainingStats": {
        "endedAt": "endedAt",
        "queueDuration": 0,
        "startedAt": "startedAt",
        "trainDuration": 0
      },
      "uiConfig": {
        "inputProperties": {
          "foo": {
            "collapsed": true
          }
        },
        "lorasComponent": {
          "label": "label",
          "modelInput": "modelInput",
          "scaleInput": "scaleInput",
          "modelIdInput": "modelIdInput"
        },
        "presets": [
          {
            "fields": [
              "string"
            ],
            "presets": {}
          }
        ],
        "resolutionComponent": {
          "heightInput": "heightInput",
          "label": "label",
          "presets": [
            {
              "height": 0,
              "label": "label",
              "width": 0
            }
          ],
          "widthInput": "widthInput"
        },
        "selects": {
          "foo": {}
        },
        "triggerGenerate": {
          "label": "label",
          "after": "after",
          "position": "bottom"
        }
      },
      "updatedAt": "updatedAt",
      "userId": "userId"
    }
  ]
}