Clarity
Clarity is an image upscaling model focused on boosting perceived detail during 2× to 4× enlargement, keeping structure stable while enhancing texture and small features for cleaner, higher-impact images.

Complete technical specification for integration
Ready-to-use code snippets for common workflows
API Options
Platform-level options for task execution and delivery.
taskType
stringrequiredvalue: upscaleIdentifier for the type of task being performed
taskUUID
stringrequiredUUID v4UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
outputType
stringdefault: URLImage output type.
Allowed values3 values
outputFormat
stringdefault: JPGSpecifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.
- `JPG`: Best for photorealistic images with smaller file sizes (no transparency).
- `PNG`: Lossless compression, supports high quality and transparency (alpha channel).
- `WEBP`: Modern format providing superior compression and transparency support.
**Transparency**: If you are using features like background removal or LayerDiffuse that require transparency, you must select a format that supports an alpha channel (e.g., `PNG`, `WEBP`, `TIFF`). `JPG` does not support transparency.Allowed values3 values
outputQuality
integermin: 20max: 99default: 95Compression quality of the output. Higher values preserve quality but increase file size.
webhookURL
stringURISpecifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.
Learn more1 resource
- WebhooksPLATFORM
- Webhooks
deliveryMethod
stringdefault: syncDetermines how the API delivers task results.
Allowed values2 values
- Returns complete results directly in the API response.
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more1 resource
- Task PollingPLATFORM
uploadEndpoint
stringURISpecifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.
Common use cases:
- Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
- CDN integration: Upload to content delivery networks for immediate distribution.
// S3 presigned URL for secure upload https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600 // Google Cloud Storage presigned URL https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789 // Custom storage endpoint https://storage.example.com/uploads/generated-image.jpgThe content data will be sent as the request body to the specified URL when generation is complete.
ttl
integermin: 60Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
includeCost
booleanInclude task cost in the response.
Inputs
Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs object.inputs»imageimage
stringrequiredImage input (UUID, URL, Data URI, or Base64).
Core Parameters
Primary parameters that define the task output.
model
stringrequiredvalue: runware:500@1Identifier of the model to use for generation.
Learn more3 resources
upscaleFactor
integerFactor by which to upscale the generated image. A value of 2 doubles width and height.
Allowed values1 value
Settings
Technical parameters to fine-tune the inference process. These must be nested inside the settings object.
settings object.settings»positivePromptpositivePrompt
stringText prompt describing elements to include in the generated output.
Learn more1 resource
- PromptsLEARN
- Prompts
settings»negativePromptnegativePrompt
stringPrompt to guide what to exclude from generation. Ignored when guidance is disabled (CFGScale ≤ 1).
Learn more1 resource
settings»seedseed
integermin: 0max: 9223372036854776000Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.
Learn more1 resource
- SeedLEARN
- Seed
settings»stepssteps
integermin: 1Total number of denoising steps. Higher values generally produce more detailed results but take longer.
Learn more1 resource
- StepsLEARN
- Steps
settings»schedulerscheduler
stringScheduler to use for the diffusion process.
Allowed values75 values
Learn more2 resources
settings»CFGScaleCFGScale
floatmin: 0step: 0.01Guidance scale representing how closely the output will resemble the prompt. Higher values produce results more aligned with the prompt.
Learn more1 resource
- Cfg ScaleLEARN
- Cfg Scale
settings»strengthstrength
floatmin: 0max: 1step: 0.01default: 0.8Strength of the transformation. Lower values result in more influence from the original input.
settings»controlNetWeightcontrolNetWeight
floatmin: -4max: 4step: 0.01default: 1Strength of the ControlNet influence. A value of 0 means no influence. Higher values increase the influence, and negative values can be used to steer away from the guide image.