## Restore **post** `/models/{modelId}/restore` Restore a model deleted in the last 30 days, back to the status it had (an interrupted training comes back as `training-canceled`). Tags and collections are not restored. Max plan and above only. Returns 400 if the model is not deleted, and 410 if it was deleted more than 30 days ago or permanently. ### Path Parameters - `modelId: string` ### Query Parameters - `originalAssets: optional boolean` If set to true, returns the original asset without transformation - `projectId: optional string` The projectId used for ownership resource management. Either to assert ownership or to set the owner of the resource(s) ### Returns - `model: object { id, capabilities, collectionIds, 38 more }` - `id: string` The model ID (example: "model_eyVcnFJcR92BxBkz7N6g5w") - `capabilities: array of "3d23d" or "audio2audio" or "audio2txt" or 31 more` List of model capabilities (example: ["txt2img", "img2img", "txt2img_ip_adapter", ...]) - `"3d23d"` - `"audio2audio"` - `"audio2txt"` - `"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"` - `"video2txt"` - `"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) - `"private"` - `"public"` - `"unlisted"` - `source: "civitai" or "huggingface" or "other" or "scenario"` The source of the model - `"civitai"` - `"huggingface"` - `"other"` - `"scenario"` - `status: "copying" or "failed" or "new" or 3 more` The model status - `"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 28 more` The model type (example: "flux.1-lora") - `"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"` - `"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: Starter plan 50: Pro plan 75: Max plan 100: Enterprise plan - `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. Only available for legacy models. - `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) - `"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. - `modelEpoch: optional string` The epoch of the model (example: "000001") Only available for Flux Lora Trained models - `deletedAt: optional string` The model deletion date as an ISO string (example: "2023-02-03T11:19:41.579Z"). Only set on deleted models, listed with `status=deleted`. - `disableRefund: optional boolean` When true, credits spent on a generation with this model are not automatically refunded if the generation fails. Absent or false means failed generations are refunded as usual. - `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, 25 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 - `"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`. - `"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 5 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 `file` and `file_array` inputs always expose a kind: when a model does not declare one, `image` is returned, which is the kind used at generation time. - `"3d"` - `"audio"` - `"document"` - `"image"` - `"image-hdr"` - `"json"` - `"text"` - `"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. - `maxDuration: optional number` The maximum allowed media duration in seconds. Only applies to `file` and `file_array` input types for video and audio assets. Validated against `asset.properties.duration` at job creation time. - `maxLength: optional number` The maximum allowed length for `string` and `model` inputs, in characters. For the array types (`string_array`, `model_array`) it bounds the NUMBER OF ITEMS instead — the length of each item is not constrained. - `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. - `minDuration: optional number` The minimum allowed media duration in seconds. Only applies to `file` and `file_array` input types for video and audio assets. Validated against `asset.properties.duration` at job creation time. - `minLength: optional number` The minimum allowed length for `string` and `model` inputs, in characters. For the array types (`string_array`, `model_array`) it bounds the NUMBER OF ITEMS instead — the length of each item is not constrained. - `modelTypes: optional array of "custom" or "elevenlabs-voice" or "flux.1" or 28 more` The allowed model types for this input. Example: `["flux.1-lora"]`. Only available for `model_array` input type. - `"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"` - `"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, conditional, 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 - `conditional`: Input is required when other inputs have specific values By default, the input is not required. - `always: optional boolean` Whether the input is always required - `conditional: optional object { values, operator }` Makes this input required when other inputs have one of the listed values - `values: unknown` The conditions to check: - Key: name of the input to check - Value: values of that input that satisfy the condition - `operator: optional "and" or "or"` How the conditions combine: `and` (all must match) or `or` (any must match) - `"and"` - `"or"` - `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. - `jobId: optional string` The ID of the job that trained the model, returned to the model owner only (example: "job_ocZCnG1Df35XRL1QyCZSRxAG8") - `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 - `classPrompt: optional string` The prompt to specify images in the same class as provided instance images Deprecated legacy training parameter. - `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 Flux LoRA, the default is an empty string. - `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 Flux LoRA, the default is 0.0001. - `learningRateTextEncoder: optional number` Initial learning rate (after the potential warmup period) for the text encoder Maximum [Flux LoRA: 0.001] Default [Flux LoRA: 0.00001] Minimum [Flux LoRA: 0.000001] - `learningRateUnet: optional number` Initial learning rate (after the potential warmup period) for the UNet Deprecated legacy training parameter. - `lrScheduler: optional "constant" or "constant-with-warmup" or "cosine" or 3 more` The scheduler type to use (default: "constant") Deprecated legacy training parameter. - `"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) Default value varies depending on the model type: - For Flux: number of training images * 100 Maximum value varies depending on the model type: - For Flux: [0, 10000] - `nbEpochs: optional number` The number of epochs to train for Only available for Flux LoRA training - `nbRepeats: optional number` The number of times to repeat the training Only available for Flux LoRA training - `numTextTrainSteps: optional number` The number of training steps for the text encoder Deprecated legacy training parameter. - `numUNetTrainSteps: optional number` The number of training steps for the UNet Deprecated legacy training parameter. - `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 - `"likeness"` - `priorLossWeight: optional number` The weight of prior preservation loss Deprecated legacy training parameter. - `randomCrop: optional boolean` Whether to random crop or center crop images before resizing to the working resolution Deprecated legacy training parameter. - `randomCropRatio: optional number` Ratio of random crops Deprecated legacy training parameter. - `randomCropScale: optional number` Scale of random crops Deprecated legacy training parameter. - `rank: optional number` The dimension of the LoRA update matrices Only available for Flux LoRA and Musubi training Default value varies depending on the model type: - For Flux: 16 - For Musubi: 64 Each trainer enforces its own tighter limit (Flux LoRA: [2; 64], Musubi: [2; 128]) - `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 Deprecated legacy training parameter. - `seed: optional number` Used to reproduce previous results. Default: randomly generated number. Deprecated legacy training parameter. - `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` Deprecated legacy training parameter. - `validationFrequency: optional number` Validation frequency. Cannot be greater than maxTrainSteps value Deprecated legacy training parameter. - `validationPrompt: optional string` Validation prompt Deprecated legacy training parameter. - `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, captchaImageUrl, 6 more }` Additional information about the training progress of the model - `stage: "pending" or "pending-captcha" or "queued-for-train" or 3 more` The stage of the request - `"pending"` - `"pending-captcha"` - `"queued-for-train"` - `"ready-for-captcha"` - `"running-train"` - `"starting-train"` - `updatedAt: number` Timestamp in milliseconds of the last time the training progress was updated - `captchaImageUrl: optional string` Signed URL of the captcha image to read aloud during PVC voice cloning. Only present when stage === 'pending-captcha'. Overwritten on each retry. - `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 - `remainingTimeMs: optional number` The remaining time in milliseconds - `retryableError: optional string` Last recoverable failure message during PVC. Present when the model has bounced back to stage === 'ready-for-captcha' after a step 2 or step 3 failure (e.g. captcha rejected, time limit exceeded). Surface above the retry button so the user understands why they're back here. - `retryCount: optional number` Number of consecutive PVC step 2 / step 3 failures on this voice model. The model is marked Failed when this reaches the platform's max retries. - `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, outputProperties, 4 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 - `outputProperties: optional map[object { label } ]` Configuration for the provider outputs exposed by `exposeOutput` - `label: string` - `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. - `"bottom"` - `"top"` - `userId: optional string` (Deprecated) The user ID (example: "user_VFhihHKMRZyDDnZAJwLb2Q") ### Example ```http curl https://api.cloud.scenario.com/v1/models/$MODEL_ID/restore \ -X POST \ -u "$SCENARIO_SDK_API_KEY:SCENARIO_SDK_API_SECRET" ``` #### Response ```json { "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" } ], "deletedAt": "deletedAt", "disableRefund": true, "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, "maxDuration": 0, "maxLength": 0, "maxSize": 0, "min": 0, "minDuration": 0, "minLength": 0, "modelTypes": [ "custom" ], "parent": true, "placeholder": "placeholder", "prompt": true, "promptSpark": true, "required": { "always": true, "conditional": { "values": {}, "operator": "and" }, "ifDefined": {}, "ifNotDefined": {} }, "step": 1 } ], "jobId": "jobId", "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, "captchaImageUrl": "captchaImageUrl", "position": 0, "progress": 0, "remainingTimeMs": 0, "retryableError": "retryableError", "retryCount": 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" }, "outputProperties": { "foo": { "label": "label" } }, "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" } } ```