Stability AI Inpainting

Class: StabilityAIInpaintingBlockV1

Source: inference.core.workflows.core_steps.models.foundation.stability_ai.inpainting.v1.StabilityAIInpaintingBlockV1

The block wraps Stability AI inpainting API and let users use instance segmentation results to change the content of images in a creative way.

Type identifier

Use the following identifier in step "type" field: roboflow_core/stability_ai_inpainting@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
prompt	str	Prompt to inpainting model (what you wish to see)..	✅
negative_prompt	str	Negative prompt to inpainting model (what you do not wish to see)..	✅
api_key	str	Your Stability AI API key..	✅

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to Stability AI Inpainting in version v1.

• inputs: Relative Static Crop, Background Color Visualization, Line Counter Visualization, OpenAI, Roboflow Dataset Upload, Grid Visualization, Detections Stabilizer, Detections Transformation, LMM For Classification, Object Detection Model, Llama 3.2 Vision, Camera Focus, Color Visualization, Instance Segmentation Model, Roboflow Dataset Upload, Label Visualization, Detections Filter, CSV Formatter, Dot Visualization, Bounding Box Visualization, Single-Label Classification Model, OCR Model, Google Vision OCR, Path Deviation, Dynamic Crop, Clip Comparison, Model Comparison Visualization, Anthropic Claude, Depth Estimation, Corner Visualization, SIFT Comparison, Line Counter, Camera Calibration, Detection Offset, Keypoint Visualization, Mask Visualization, Image Threshold, VLM as Detector, Halo Visualization, Florence-2 Model, Polygon Zone Visualization, Google Gemini, Bounding Rectangle, Image Preprocessing, Polygon Visualization, Instance Segmentation Model, SIFT, Dynamic Zone, Twilio SMS Notification, Reference Path Visualization, Roboflow Custom Metadata, Blur Visualization, Image Contours, Detections Classes Replacement, Pixelate Visualization, Keypoint Detection Model, Detections Stitch, OpenAI, Ellipse Visualization, Crop Visualization, Stitch Images, Stitch OCR Detections, Florence-2 Model, CogVLM, Image Slicer, LMM, Webhook Sink, Perspective Correction, Email Notification, Multi-Label Classification Model, Velocity, Image Blur, Stability AI Image Generation, Time in Zone, Image Convert Grayscale, Stability AI Inpainting, Model Monitoring Inference Aggregator, Triangle Visualization, Classification Label Visualization, Trace Visualization, VLM as Classifier, Segment Anything 2 Model, Path Deviation, Time in Zone, Absolute Static Crop, Circle Visualization, Slack Notification, Local File Sink, Image Slicer
• outputs: Relative Static Crop, Background Color Visualization, Line Counter Visualization, OpenAI, Roboflow Dataset Upload, Gaze Detection, Barcode Detection, Detections Stabilizer, LMM For Classification, Object Detection Model, Llama 3.2 Vision, Camera Focus, Color Visualization, Roboflow Dataset Upload, Instance Segmentation Model, Pixel Color Count, Label Visualization, YOLO-World Model, Moondream2, SmolVLM2, Dot Visualization, Object Detection Model, Bounding Box Visualization, Template Matching, Single-Label Classification Model, OCR Model, Google Vision OCR, Dynamic Crop, Clip Comparison, Model Comparison Visualization, Anthropic Claude, Depth Estimation, Corner Visualization, Byte Tracker, Qwen2.5-VL, Multi-Label Classification Model, SIFT Comparison, Camera Calibration, QR Code Detection, Keypoint Visualization, VLM as Detector, Image Threshold, Florence-2 Model, Mask Visualization, Halo Visualization, Polygon Zone Visualization, Google Gemini, Clip Comparison, Polygon Visualization, Image Preprocessing, Instance Segmentation Model, SIFT, Reference Path Visualization, CLIP Embedding Model, Blur Visualization, Image Contours, VLM as Detector, Pixelate Visualization, Dominant Color, Keypoint Detection Model, Detections Stitch, OpenAI, Ellipse Visualization, Crop Visualization, Stitch Images, Florence-2 Model, CogVLM, LMM, Image Slicer, Perspective Correction, Multi-Label Classification Model, Image Blur, Stability AI Image Generation, Time in Zone, Image Convert Grayscale, Stability AI Inpainting, Triangle Visualization, Classification Label Visualization, Keypoint Detection Model, Trace Visualization, Single-Label Classification Model, Buffer, VLM as Classifier, Segment Anything 2 Model, Absolute Static Crop, VLM as Classifier, Circle Visualization, Image Slicer

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Stability AI Inpainting in version v1 has.

Bindings

• input

  • image (image): The image to inpaint..
  • segmentation_mask (instance_segmentation_prediction): Model predictions from segmentation model..
  • prompt (string): Prompt to inpainting model (what you wish to see)..
  • negative_prompt (string): Negative prompt to inpainting model (what you do not wish to see)..
  • api_key (Union[secret, string]): Your Stability AI API key..

• output

  • image (image): Image in workflows.

Example JSON definition of step Stability AI Inpainting in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/stability_ai_inpainting@v1",
    "image": "$inputs.image",
    "segmentation_mask": "$steps.model.predictions",
    "prompt": "my prompt",
    "negative_prompt": "my prompt",
    "api_key": "xxx-xxx"
}