Create

POST/models

Create a new model

Query ParametersExpand Collapse

originalAssets: optional boolean

If set to true, returns the original asset without transformation

Body ParametersJSONExpand Collapse

baseModelId: optional string

The ID of the base model to use as a starting point for the training (example: “flux.1-dev”)

Value is automatically set based on the model’s type. In case of doubt leave it empty.

classSlug: optional string

The slug of the class you want to use (ex: “characters-npcs-mobs-characters”). Set to null to unset the class

collectionIds: optional array of string

List of collection IDs to add the model to

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

The concepts is required for composition models. With one or more loras

Only applicable to Flux based models (and older SD1.5 and SDXL models)

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

The model’s name (ex: “Cinematic Realism”).

If not set, the model’s name will be automatically generated when starting training based on training data.

maxLength64

shortDescription: optional string

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

If not set, the model’s short description will be automatically generated when starting training based on training data.

maxLength256

type: optional "custom" or "elevenlabs-voice" or "flux.1" or 34 more

The model’s type (ex: “flux.1-lora”).

The type can only be changed if the model has the “new” status.

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"

ReturnsExpand Collapse

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:

100

authorId: optional string

The author user ID (example: “user_VFhihHKMRZyDDnZAJwLb2Q”)

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”)

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}

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

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

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”)

Create

curl https://api.cloud.scenario.com/v1/models \
    -H 'Content-Type: application/json' \
    -u "$SCENARIO_SDK_API_KEY:SCENARIO_SDK_API_SECRET" \
    -d '{}'

{
  "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"
  }
}

Returns Examples

{
  "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"
  }
}

Create

Query ParametersExpand Collapse

Body ParametersJSONExpand Collapse

ReturnsExpand Collapse

Create

Returns Examples

What can I help you with?