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API Reference
Models
Train

Trigger

PUT/models/{modelId}/train

Trigger the given modelId training

Path ParametersExpand Collapse
modelId: string
Query ParametersExpand Collapse
dryRun: optional unknown
originalAssets: optional boolean

If set to true, returns the original asset without transformation

trainingImagesCount: optional number

Simulate the number of training images, used for dryRun purpose

Body ParametersJSONExpand Collapse
parameters: optional object { age, batchSize, classPrompt, 29 more }
age: optional string

Age group of the voice (for professional cloning)

Only available for ElevenLabs voice training

batchSize: optional number

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

Only available for Flux LoRA training

maximum4
minimum1
classPrompt: optional string

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

Only available for SD15 training

cloneType: optional string

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

Only available for ElevenLabs voice training

conceptPrompt: optional 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: optional string

Gender of the voice (for professional cloning)

Only available for ElevenLabs voice training

language: optional string

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

Only available for ElevenLabs voice training

learningRate: optional 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: optional 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: optional number

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

Only available for SDXL LoRA training

exclusiveMinimum
minimum0
lrScheduler: optional "constant" or "constant-with-warmup" or "cosine" or 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: optional 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: optional number

The number of epochs to train for

Only available for Flux LoRA training

maximum30
minimum1
nbRepeats: optional number

The number of times to repeat the training

Only available for Flux LoRA training

maximum30
minimum1
numTextTrainSteps: optional number

The number of training steps for the text encoder

Only available for SDXL LoRA training

maximum40000
minimum0
numUNetTrainSteps: optional number

The number of training steps for the UNet

Only available for SDXL LoRA training

maximum40000
minimum0
optimizeFor: optional "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: optional number

The weight of prior preservation loss

Only available for SD15 and SDXL LoRA training

exclusiveMinimum
maximum1.7976931348623157
minimum0
randomCrop: optional boolean

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

Only available for SD15 and SDXL LoRA training

randomCropRatio: optional number

Ratio of random crops

Only available for SD15 and SDXL LoRA training

maximum1
minimum0
randomCropScale: optional number

Scale of random crops

Only available for SD15 and SDXL LoRA training

maximum1
minimum0
rank: optional 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: optional 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: optional array of string

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

sampleSourceImages: optional array of string

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

scaleLr: optional boolean

Whether to scale the learning rate

Note: Legacy parameter, will be ignored

Only available for SD15 and SDXL LoRA training

seed: optional number

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

Only available for SD15 and SDXL LoRA training

maximum9007199254740991
minimum0
textEncoderTrainingRatio: optional 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: optional number

Validation frequency. Cannot be greater than maxTrainSteps value

Only available for SD15 and SDXL LoRA training

minimum0
validationPrompt: optional string

Validation prompt

Only available for SD15 and SDXL LoRA training

voiceDescription: optional string

Description of the voice characteristics

Only available for ElevenLabs voice training

wandbKey: optional string

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

ReturnsExpand Collapse
job: object { createdAt, jobId, jobType, 8 more }
createdAt: string

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

jobId: string

The job ID (example: “job_ocZCnG1Df35XRL1QyCZSRxAG8”)

jobType: "assets-download" or "canvas-export" or "caption" or 36 more

The type of job

One of the following:
"assets-download"
"canvas-export"
"caption"
"caption-llava"
"custom"
"describe-style"
"detection"
"embed"
"flux"
"flux-model-training"
"generate-prompt"
"image-generation"
"image-prompt-editing"
"inference"
"mesh-preview-rendering"
"model-download"
"model-import"
"model-training"
"musubi-model-training"
"openai-image-generation"
"patch-image"
"pixelate"
"reframe"
"remove-background"
"repaint"
"restyle"
"segment"
"skybox-3d"
"skybox-base-360"
"skybox-hdri"
"skybox-upscale-360"
"texture"
"translate"
"upload"
"upscale"
"upscale-skybox"
"upscale-texture"
"vectorize"
"workflow"
metadata: object { assetIds, error, flow, 6 more }

Metadata of the job with some additional information

assetIds: optional array of string

List of produced assets for this job

error: optional string

Eventual error for the job

flow: optional array of object { id, status, type, 15 more }

The flow of the job. Only available for workflow jobs.

id: string

The id of the node.

status: "failure" or "pending" or "processing" or 2 more

The status of the node. Only available for WorkflowJob nodes.

One of the following:
"failure"
"pending"
"processing"
"skipped"
"success"
type: "custom-model" or "for-each" or "generate-prompt" or 7 more

The type of the job for the node.

One of the following:
"custom-model"
"for-each"
"generate-prompt"
"list"
"logic"
"model"
"remove-background"
"transform"
"user-approval"
"workflow"
assets: optional array of object { assetId, url }

List of produced assets for this node.

assetId: string
url: string
count: optional number

Fixed number of iterations for a ForEach node. When set, the loop runs exactly count times regardless of array input. When not set, the loop iterates over the resolved array input. Only available for ForEach nodes.

dependsOn: optional array of string

The nodes that this node depends on. Only available for nodes that have dependencies. Mainly used for user approval nodes.

includeOutputsInWorkflowJob: optional true

If true, the outputs of this node will be included in the workflow job’s final output. Only applicable to producing nodes (custom-model, inference, etc.). By default, only last nodes (nodes not referenced by other nodes) contribute to outputs. Set this to true to also include intermediate nodes in the final output. Note: This should only be set to true or left undefined.

inputs: optional array of object { name, type, allowedValues, 26 more }

The inputs of the node.

name: string

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

type: "boolean" or "file" or "file_array" or 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: optional array of 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: optional "opaque" or "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: optional boolean

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

costImpact: optional boolean

Whether this input affects the model’s cost calculation

default: optional unknown

The default value for the input

description: optional string

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

group: optional string

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

hint: optional string

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

inputs: optional array of map[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.

items: optional array of array of object { name, type, allowedValues, 25 more }

The configured items for inputs_array type inputs. Each item is an array of SubNodeInput that need ref/value resolution. Only available for inputs_array type.

name: string

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

type: "boolean" or "file" or "file_array" or 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: optional array of 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: optional "opaque" or "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: optional boolean

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

costImpact: optional boolean

Whether this input affects the model’s cost calculation

default: optional unknown

The default value for the input

description: optional string

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

group: optional string

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

hint: optional string

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

inputs: optional array of map[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: optional "3d" or "audio" or "document" or 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: optional string

The label displayed in the UI for this input

maskFrom: optional string

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

max: optional number

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

maxLength: optional number

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

maxSize: optional 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: optional number

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

minLength: optional number

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

modelTypes: optional array of "custom" or "elevenlabs-voice" or "flux.1" or 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: optional 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: optional string

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

prompt: optional 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: optional boolean

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

ref: optional object { conditional, equal, name, node }

The reference to another input or output of the same workflow. Must have at least one of node or conditional.

conditional: optional array of string

The conditional nodes to reference. If the conditional nodes are successful, the node will be successful. If the conditional nodes are skipped, the node will be skipped. Contains an array of node ids used to check the status of the nodes.

equal: optional string

This is the desired node output value if ref is an if/else node.

name: optional string

The name of the input or output to reference. If the type is ‘workflow’, the name is the name of the input of the workflow is required If the type is ‘node’, the name is not mandatory, except if you want all outputs of the node. To get all outputs of a node, you can use the name ‘all’.

node: optional string

The node id or ‘workflow’ if the source is a workflow input.

required: optional object { 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: optional boolean

Whether the input is always required

conditionalValues: optional 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: optional 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: optional 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: optional number

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

minimum1
value: optional unknown

The value of the input. This is the value of the input that will be used to run the node. Only available for flows managed by a WorkflowJob.

kind: optional "3d" or "audio" or "document" or 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: optional string

The label displayed in the UI for this input

maskFrom: optional string

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

max: optional number

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

maxLength: optional number

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

maxSize: optional 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: optional number

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

minLength: optional number

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

modelTypes: optional array of "custom" or "elevenlabs-voice" or "flux.1" or 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: optional 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: optional string

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

prompt: optional 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: optional boolean

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

ref: optional object { conditional, equal, name, node }

The reference to another input or output of the same workflow. Must have at least one of node or conditional.

conditional: optional array of string

The conditional nodes to reference. If the conditional nodes are successful, the node will be successful. If the conditional nodes are skipped, the node will be skipped. Contains an array of node ids used to check the status of the nodes.

equal: optional string

This is the desired node output value if ref is an if/else node.

name: optional string

The name of the input or output to reference. If the type is ‘workflow’, the name is the name of the input of the workflow is required If the type is ‘node’, the name is not mandatory, except if you want all outputs of the node. To get all outputs of a node, you can use the name ‘all’.

node: optional string

The node id or ‘workflow’ if the source is a workflow input.

required: optional object { 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: optional boolean

Whether the input is always required

conditionalValues: optional 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: optional 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: optional 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: optional number

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

minimum1
value: optional unknown

The value of the input. This is the value of the input that will be used to run the node. Only available for flows managed by a WorkflowJob.

items: optional array of string

Statically-configured items for a List node. The node outputs this array as-is when executed. Only available for List nodes. The values can be strings, numbers, or asset IDs.

iterationIndex: optional number

Zero-based index of the iteration this node copy belongs to. Set on dynamically-created copies of loop body nodes.

jobId: optional string

If the flow is part of a WorkflowJob, this is the jobId for the node. jobId is only available for nodes started. A node “Pending” for a running workflow job is not started.

logic: optional object { cases, default, transform }

The logic of the node. Only available for logic nodes.

cases: optional array of object { condition, value }

The cases of the logic. Only available for if/else nodes.

condition: string
value: string
default: optional string

The default case of the logic. Contains the id/output of the node to execute if no case is matched. Only available for if/else nodes.

transform: optional string

The transform of the logic. Only available for transform nodes.

logicType: optional "if-else"

The type of the logic for the node. Only available for logic nodes.

loopBodyNodeIds: optional array of string

IDs of the body template nodes that belong to this ForEach loop. At runtime these templates are cloned once per iteration and marked Skipped. Only available for ForEach nodes.

loopNodeId: optional string

ID of the ForEach node that spawned this iteration copy. Set on dynamically-created copies of loop body nodes.

modelId: optional string

The model id for the node. Mainly used for custom model tasks.

output: optional unknown

The output of the node. Only available for logic nodes.

workflowId: optional string

The workflow id for the node. Mainly used for workflow tasks.

hint: optional string

Actionable hint for the user explaining what went wrong and how to resolve it.

input: optional map[unknown]

The inputs for the job

output: optional map[unknown]

May contain the output of the job for specific custom models jobs. Only available for custom models which generate non-assets outputs. Example: LLM text results.

outputModelId: optional string

For voice-clone jobs: the ID of the model being trained.

workflowId: optional string

The workflow ID of the job if job is part of a workflow.

workflowJobId: optional string

The workflow job ID of the job if job is part of a workflow job.

progress: number

Progress of the job (between 0 and 1)

status: "canceled" or "failure" or "finalizing" or 5 more

The current status of the job

One of the following:
"canceled"
"failure"
"finalizing"
"in-progress"
"pending"
"queued"
"success"
"warming-up"
statusHistory: array of object { date, status }

The history of the different statuses the job went through with the ISO string date of when the job reached each statuses.

date: string
status: "canceled" or "failure" or "finalizing" or 5 more
One of the following:
"canceled"
"failure"
"finalizing"
"in-progress"
"pending"
"queued"
"success"
"warming-up"
updatedAt: string

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

authorId: optional string

The author user ID (example: “dcf121faaa1a0a0bbbd9ca1b73d62aea”)

billing: optional object { cuCost, cuDiscount }

The billing of the job

cuCost: number
cuDiscount: number
ownerId: optional string

The owner ID (example: “team_U3Qmc8PCdWXwAQJ4Dvw4tV6D”)

model: object { id, capabilities, collectionIds, 35 more }
id: string

The model ID (example: “model_eyVcnFJcR92BxBkz7N6g5w”)

capabilities: array of "3d23d" or "audio2audio" or "audio2video" or 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"
collectionIds: array of string

A list of CollectionId this model belongs to

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

exampleAssetIds: array of string

List of all example asset IDs setup by the model owner

privacy: "private" or "public" or "unlisted"

The privacy of the model (default: private)

One of the following:
"private"
"public"
"unlisted"
source: "civitai" or "huggingface" or "other" or "scenario"

The source of the model

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

The model status

One of the following:
"copying"
"failed"
"new"
"trained"
"training"
"training-canceled"
tags: array of string

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

trainingImagesNumber: number

The total number of training images

type: "custom" or "elevenlabs-voice" or "flux.1" or 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"
updatedAt: string

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

accessRestrictions: optional 0 or 100 or 25 or 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: optional string

The author user ID (example: “user_VFhihHKMRZyDDnZAJwLb2Q”)

class: optional object { 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" or "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 of string

Some example images URLs to showcase the class

compliantModelIds: optional array of 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: optional array of object { modelId, scale, modelEpoch }

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: optional string

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

epoch: optional string

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

epochs: optional array of object { epoch, assets }

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

epoch: string

The epoch hash to identify the epoch

assets: optional array of object { assetId, url }

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

inputs: optional array of object { name, type, allowedValues, 23 more }

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" or "file" or "file_array" or 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: optional array of 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: optional "opaque" or "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: optional boolean

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

costImpact: optional boolean

Whether this input affects the model’s cost calculation

default: optional unknown

The default value for the input

description: optional string

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

group: optional string

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

hint: optional string

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

inputs: optional array of map[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: optional "3d" or "audio" or "document" or 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: optional string

The label displayed in the UI for this input

maskFrom: optional string

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

max: optional number

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

maxLength: optional number

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

maxSize: optional 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: optional number

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

minLength: optional number

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

modelTypes: optional array of "custom" or "elevenlabs-voice" or "flux.1" or 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: optional 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: optional string

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

prompt: optional 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: optional boolean

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

required: optional object { 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: optional boolean

Whether the input is always required

conditionalValues: optional 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: optional 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: optional 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: optional number

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

minimum1
modelKeyword: optional string

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

name: optional string

The model name (example: “Cinematic Realism”)

negativePromptEmbedding: optional string

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

ownerId: optional string

The owner ID (example: “team_VFhihHKMRZyDDnZAJwLb2Q”)

parameters: optional object { age, batchSize, classPrompt, 29 more }

The parameters of the model

age: optional string

Age group of the voice (for professional cloning)

Only available for ElevenLabs voice training

batchSize: optional number

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

Only available for Flux LoRA training

maximum4
minimum1
classPrompt: optional string

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

Only available for SD15 training

cloneType: optional string

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

Only available for ElevenLabs voice training

conceptPrompt: optional 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: optional string

Gender of the voice (for professional cloning)

Only available for ElevenLabs voice training

language: optional string

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

Only available for ElevenLabs voice training

learningRate: optional 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: optional 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: optional number

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

Only available for SDXL LoRA training

exclusiveMinimum
minimum0
lrScheduler: optional "constant" or "constant-with-warmup" or "cosine" or 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: optional 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: optional number

The number of epochs to train for

Only available for Flux LoRA training

maximum30
minimum1
nbRepeats: optional number

The number of times to repeat the training

Only available for Flux LoRA training

maximum30
minimum1
numTextTrainSteps: optional number

The number of training steps for the text encoder

Only available for SDXL LoRA training

maximum40000
minimum0
numUNetTrainSteps: optional number

The number of training steps for the UNet

Only available for SDXL LoRA training

maximum40000
minimum0
optimizeFor: optional "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: optional number

The weight of prior preservation loss

Only available for SD15 and SDXL LoRA training

exclusiveMinimum
maximum1.7976931348623157
minimum0
randomCrop: optional boolean

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

Only available for SD15 and SDXL LoRA training

randomCropRatio: optional number

Ratio of random crops

Only available for SD15 and SDXL LoRA training

maximum1
minimum0
randomCropScale: optional number

Scale of random crops

Only available for SD15 and SDXL LoRA training

maximum1
minimum0
rank: optional 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: optional 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: optional array of string

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

sampleSourceImages: optional array of string

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

scaleLr: optional boolean

Whether to scale the learning rate

Note: Legacy parameter, will be ignored

Only available for SD15 and SDXL LoRA training

seed: optional number

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

Only available for SD15 and SDXL LoRA training

maximum9007199254740991
minimum0
textEncoderTrainingRatio: optional 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: optional number

Validation frequency. Cannot be greater than maxTrainSteps value

Only available for SD15 and SDXL LoRA training

minimum0
validationPrompt: optional string

Validation prompt

Only available for SD15 and SDXL LoRA training

voiceDescription: optional string

Description of the voice characteristics

Only available for ElevenLabs voice training

wandbKey: optional string

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

parentModelId: optional string

The id of the parent model

performanceStats: optional object { variants, default }

Aggregated performance stats

variants: array of object { capability, computedAt, variantKey, 9 more }

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: optional object { 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: optional number

Maximum cost per output asset (CU)

costPerAssetMinCU: optional number

Minimum cost per output asset (CU)

costPerAssetP50CU: optional number

Median cost per output asset (CU)

inferenceLatencyP50Sec: optional number

Inference latency P50 per output asset (seconds)

inferenceLatencyP75Sec: optional number

Inference latency P75 per output asset (seconds)

resolution: optional string

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

totalLatencyP50Sec: optional number

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

totalLatencyP75Sec: optional number

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

default: optional string

Default variant key for quick model comparison

promptEmbedding: optional string

Fine-tune the model’s inferences with prompt embedding

shortDescription: optional string

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

softDeletionOn: optional string

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

thumbnail: optional object { 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: optional array of object { instruction, sourceId, targetId }

Array of training image pairs

instruction: optional string

The instruction for the image pair, source to target

sourceId: optional string

The source asset ID (must be a training asset)

targetId: optional string

The target asset ID (must be a training asset)

trainingImages: optional array of object { id, automaticCaptioning, createdAt, 3 more }

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”)

trainingProgress: optional object { stage, updatedAt, position, 3 more }

Additional information about the training progress of the model

stage: "pending" or "pending-captcha" or "queued-for-train" or 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: optional number

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

progress: optional number

The progress of the job

maximum1
minimum0
remainingTimeMs: optional number

The remaining time in milliseconds

startedAt: optional number

The timestamp in millisecond marking the start of the process

trainingStats: optional object { endedAt, queueDuration, startedAt, trainDuration }

Additional information about the model’s training

endedAt: optional string

The training end time as an ISO date string

queueDuration: optional number

The training queued duration in seconds

startedAt: optional string

The training start time as an ISO date string

trainDuration: optional number

The training duration in seconds

uiConfig: optional object { inputProperties, lorasComponent, presets, 3 more }

The UI configuration for the model

inputProperties: optional map[object { collapsed } ]

Configuration for the input properties

collapsed: optional boolean
lorasComponent: optional object { 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: optional 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: optional array of object { fields, presets }

Configuration for the presets

fields: array of string
presets: unknown
resolutionComponent: optional object { 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 of object { height, label, width }

The resolution presets

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

The input name of the width

selects: optional map[unknown]

Configuration for the selects

triggerGenerate: optional object { label, after, position }

Configuration for the trigger generate button

label: string
after: optional 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: optional "bottom" or "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"
userId: optional string

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

creativeUnitsCost: optional number

The Creative Units cost for the request billed

creativeUnitsDiscount: optional number

The Creative Units discount for the request billed

Trigger

curl https://api.cloud.scenario.com/v1/models/$MODEL_ID/train \
    -X PUT \
    -H 'Content-Type: application/json' \
    -u "$SCENARIO_SDK_API_KEY:SCENARIO_SDK_API_SECRET" \
    -d '{}'
{
  "job": {
    "createdAt": "createdAt",
    "jobId": "jobId",
    "jobType": "assets-download",
    "metadata": {
      "assetIds": [
        "string"
      ],
      "error": "error",
      "flow": [
        {
          "id": "id",
          "status": "failure",
          "type": "custom-model",
          "assets": [
            {
              "assetId": "assetId",
              "url": "url"
            }
          ],
          "count": 0,
          "dependsOn": [
            "string"
          ],
          "includeOutputsInWorkflowJob": true,
          "inputs": [
            {
              "name": "name",
              "type": "boolean",
              "allowedValues": [
                {}
              ],
              "backgroundBehavior": "opaque",
              "color": true,
              "costImpact": true,
              "default": {},
              "description": "description",
              "group": "group",
              "hint": "hint",
              "inputs": [
                {
                  "foo": "bar"
                }
              ],
              "items": [
                [
                  {
                    "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,
                    "ref": {
                      "conditional": [
                        "string"
                      ],
                      "equal": "equal",
                      "name": "name",
                      "node": "node"
                    },
                    "required": {
                      "always": true,
                      "conditionalValues": {},
                      "ifDefined": {},
                      "ifNotDefined": {}
                    },
                    "step": 1,
                    "value": {}
                  }
                ]
              ],
              "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,
              "ref": {
                "conditional": [
                  "string"
                ],
                "equal": "equal",
                "name": "name",
                "node": "node"
              },
              "required": {
                "always": true,
                "conditionalValues": {},
                "ifDefined": {},
                "ifNotDefined": {}
              },
              "step": 1,
              "value": {}
            }
          ],
          "items": [
            "string"
          ],
          "iterationIndex": 0,
          "jobId": "jobId",
          "logic": {
            "cases": [
              {
                "condition": "condition",
                "value": "value"
              }
            ],
            "default": "default",
            "transform": "transform"
          },
          "logicType": "if-else",
          "loopBodyNodeIds": [
            "string"
          ],
          "loopNodeId": "loopNodeId",
          "modelId": "modelId",
          "output": {},
          "workflowId": "workflowId"
        }
      ],
      "hint": "hint",
      "input": {
        "foo": "bar"
      },
      "output": {
        "foo": "bar"
      },
      "outputModelId": "outputModelId",
      "workflowId": "workflowId",
      "workflowJobId": "workflowJobId"
    },
    "progress": 0,
    "status": "canceled",
    "statusHistory": [
      {
        "date": "date",
        "status": "canceled"
      }
    ],
    "updatedAt": "updatedAt",
    "authorId": "authorId",
    "billing": {
      "cuCost": 0,
      "cuDiscount": 0
    },
    "ownerId": "ownerId"
  },
  "model": {
    "id": "id",
    "capabilities": [
      "3d23d"
    ],
    "collectionIds": [
      "string"
    ],
    "createdAt": "createdAt",
    "custom": true,
    "exampleAssetIds": [
      "string"
    ],
    "privacy": "private",
    "source": "civitai",
    "status": "copying",
    "tags": [
      "string"
    ],
    "trainingImagesNumber": 0,
    "type": "custom",
    "updatedAt": "updatedAt",
    "accessRestrictions": 0,
    "authorId": "authorId",
    "class": {
      "category": "category",
      "conceptPrompt": "conceptPrompt",
      "modelId": "modelId",
      "name": "name",
      "prompt": "prompt",
      "slug": "slug",
      "status": "published",
      "thumbnails": [
        "string"
      ]
    },
    "compliantModelIds": [
      "string"
    ],
    "concepts": [
      {
        "modelId": "modelId",
        "scale": -2,
        "modelEpoch": "modelEpoch"
      }
    ],
    "epoch": "epoch",
    "epochs": [
      {
        "epoch": "epoch",
        "assets": [
          {
            "assetId": "assetId",
            "url": "url"
          }
        ]
      }
    ],
    "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",
    "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"
      }
    ],
    "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"
      }
    },
    "userId": "userId"
  },
  "creativeUnitsCost": 0,
  "creativeUnitsDiscount": 0
}
Returns Examples
{
  "job": {
    "createdAt": "createdAt",
    "jobId": "jobId",
    "jobType": "assets-download",
    "metadata": {
      "assetIds": [
        "string"
      ],
      "error": "error",
      "flow": [
        {
          "id": "id",
          "status": "failure",
          "type": "custom-model",
          "assets": [
            {
              "assetId": "assetId",
              "url": "url"
            }
          ],
          "count": 0,
          "dependsOn": [
            "string"
          ],
          "includeOutputsInWorkflowJob": true,
          "inputs": [
            {
              "name": "name",
              "type": "boolean",
              "allowedValues": [
                {}
              ],
              "backgroundBehavior": "opaque",
              "color": true,
              "costImpact": true,
              "default": {},
              "description": "description",
              "group": "group",
              "hint": "hint",
              "inputs": [
                {
                  "foo": "bar"
                }
              ],
              "items": [
                [
                  {
                    "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,
                    "ref": {
                      "conditional": [
                        "string"
                      ],
                      "equal": "equal",
                      "name": "name",
                      "node": "node"
                    },
                    "required": {
                      "always": true,
                      "conditionalValues": {},
                      "ifDefined": {},
                      "ifNotDefined": {}
                    },
                    "step": 1,
                    "value": {}
                  }
                ]
              ],
              "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,
              "ref": {
                "conditional": [
                  "string"
                ],
                "equal": "equal",
                "name": "name",
                "node": "node"
              },
              "required": {
                "always": true,
                "conditionalValues": {},
                "ifDefined": {},
                "ifNotDefined": {}
              },
              "step": 1,
              "value": {}
            }
          ],
          "items": [
            "string"
          ],
          "iterationIndex": 0,
          "jobId": "jobId",
          "logic": {
            "cases": [
              {
                "condition": "condition",
                "value": "value"
              }
            ],
            "default": "default",
            "transform": "transform"
          },
          "logicType": "if-else",
          "loopBodyNodeIds": [
            "string"
          ],
          "loopNodeId": "loopNodeId",
          "modelId": "modelId",
          "output": {},
          "workflowId": "workflowId"
        }
      ],
      "hint": "hint",
      "input": {
        "foo": "bar"
      },
      "output": {
        "foo": "bar"
      },
      "outputModelId": "outputModelId",
      "workflowId": "workflowId",
      "workflowJobId": "workflowJobId"
    },
    "progress": 0,
    "status": "canceled",
    "statusHistory": [
      {
        "date": "date",
        "status": "canceled"
      }
    ],
    "updatedAt": "updatedAt",
    "authorId": "authorId",
    "billing": {
      "cuCost": 0,
      "cuDiscount": 0
    },
    "ownerId": "ownerId"
  },
  "model": {
    "id": "id",
    "capabilities": [
      "3d23d"
    ],
    "collectionIds": [
      "string"
    ],
    "createdAt": "createdAt",
    "custom": true,
    "exampleAssetIds": [
      "string"
    ],
    "privacy": "private",
    "source": "civitai",
    "status": "copying",
    "tags": [
      "string"
    ],
    "trainingImagesNumber": 0,
    "type": "custom",
    "updatedAt": "updatedAt",
    "accessRestrictions": 0,
    "authorId": "authorId",
    "class": {
      "category": "category",
      "conceptPrompt": "conceptPrompt",
      "modelId": "modelId",
      "name": "name",
      "prompt": "prompt",
      "slug": "slug",
      "status": "published",
      "thumbnails": [
        "string"
      ]
    },
    "compliantModelIds": [
      "string"
    ],
    "concepts": [
      {
        "modelId": "modelId",
        "scale": -2,
        "modelEpoch": "modelEpoch"
      }
    ],
    "epoch": "epoch",
    "epochs": [
      {
        "epoch": "epoch",
        "assets": [
          {
            "assetId": "assetId",
            "url": "url"
          }
        ]
      }
    ],
    "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",
    "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"
      }
    ],
    "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"
      }
    },
    "userId": "userId"
  },
  "creativeUnitsCost": 0,
  "creativeUnitsDiscount": 0
}