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..	✅
invert_segmentation_mask	bool	Invert segmentation mask to inpaint background instead of foreground..	✅
preset	StabilityAIPresets	Optional preset to apply when outpainting the image (what you wish to see). If not provided, the image will be outpainted without any preset. Avaliable presets: 3d-model, analog-film, anime, cinematic, comic-book, digital-art, enhance, fantasy-art, isometric, line-art, low-poly, modeling-compound, neon-punk, origami, photographic, pixel-art, tile-texture.	❌
seed	int	A specific value that is used to guide the 'randomness' of the generation. If not provided, a random seed is used. Must be a number between 0 and 4294967294.	✅

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: VLM as Detector, SAM 3, Google Vision OCR, Classification Label Visualization, Detections Stabilizer, Circle Visualization, SIFT Comparison, Image Contours, Relative Static Crop, Detections Filter, Image Preprocessing, LMM For Classification, VLM as Classifier, Ellipse Visualization, Stitch Images, Triangle Visualization, Stability AI Inpainting, Detections Combine, QR Code Generator, Image Slicer, VLM as Classifier, Background Color Visualization, Model Monitoring Inference Aggregator, Segment Anything 2 Model, Template Matching, Velocity, OCR Model, Distance Measurement, Dot Visualization, Florence-2 Model, SIFT, Morphological Transformation, Detections Transformation, EasyOCR, Reference Path Visualization, Halo Visualization, SIFT Comparison, Polygon Visualization, Image Slicer, Florence-2 Model, Detection Offset, Slack Notification, Clip Comparison, Image Convert Grayscale, Instance Segmentation Model, OpenAI, Color Visualization, Line Counter, PTZ Tracking (ONVIF).md), Keypoint Detection Model, Google Gemini, JSON Parser, Label Visualization, Email Notification, Llama 3.2 Vision, Trace Visualization, Dynamic Zone, Line Counter, Email Notification, Corner Visualization, Mask Visualization, Time in Zone, CogVLM, Stability AI Outpainting, OpenAI, Roboflow Custom Metadata, Detections Stitch, Stitch OCR Detections, Blur Visualization, Time in Zone, CSV Formatter, Crop Visualization, VLM as Detector, OpenAI, Grid Visualization, Detections Classes Replacement, Perspective Correction, Twilio SMS Notification, Absolute Static Crop, Single-Label Classification Model, Seg Preview, Contrast Equalization, Roboflow Dataset Upload, Roboflow Dataset Upload, Polygon Zone Visualization, Stability AI Image Generation, Webhook Sink, Depth Estimation, Bounding Box Visualization, Camera Focus, Line Counter Visualization, Instance Segmentation Model, Multi-Label Classification Model, Icon Visualization, Image Blur, Time in Zone, Pixelate Visualization, Image Threshold, Path Deviation, Anthropic Claude, LMM, Google Gemini, Identify Outliers, Pixel Color Count, Dynamic Crop, Bounding Rectangle, Path Deviation, Detections Consensus, Model Comparison Visualization, Camera Calibration, Local File Sink, Keypoint Visualization, Identify Changes, Object Detection Model
• outputs: VLM as Detector, Google Vision OCR, SAM 3, Classification Label Visualization, Detections Stabilizer, Circle Visualization, Image Contours, Relative Static Crop, Image Preprocessing, LMM For Classification, VLM as Classifier, Ellipse Visualization, Stitch Images, Triangle Visualization, Stability AI Inpainting, Image Slicer, VLM as Classifier, Background Color Visualization, Segment Anything 2 Model, Template Matching, Moondream2, OCR Model, Dot Visualization, Florence-2 Model, SIFT, Morphological Transformation, EasyOCR, Gaze Detection, Halo Visualization, Reference Path Visualization, SIFT Comparison, Buffer, Polygon Visualization, Image Slicer, Florence-2 Model, Clip Comparison, Perception Encoder Embedding Model, Instance Segmentation Model, OpenAI, Byte Tracker, Color Visualization, Image Convert Grayscale, Object Detection Model, Keypoint Detection Model, Google Gemini, Label Visualization, Email Notification, Llama 3.2 Vision, Trace Visualization, QR Code Detection, YOLO-World Model, Corner Visualization, Mask Visualization, Time in Zone, CogVLM, Stability AI Outpainting, OpenAI, Detections Stitch, Barcode Detection, Blur Visualization, Dominant Color, Crop Visualization, VLM as Detector, Single-Label Classification Model, OpenAI, Perspective Correction, Clip Comparison, Single-Label Classification Model, Absolute Static Crop, Seg Preview, Contrast Equalization, Roboflow Dataset Upload, Roboflow Dataset Upload, Polygon Zone Visualization, CLIP Embedding Model, Stability AI Image Generation, Depth Estimation, Bounding Box Visualization, Camera Focus, Line Counter Visualization, Instance Segmentation Model, Multi-Label Classification Model, Icon Visualization, Image Blur, Pixelate Visualization, Image Threshold, Keypoint Detection Model, Anthropic Claude, LMM, Google Gemini, Multi-Label Classification Model, Pixel Color Count, SmolVLM2, Dynamic Crop, Qwen2.5-VL, Model Comparison Visualization, Camera Calibration, Keypoint Visualization, Object Detection Model

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[string, secret]): Your Stability AI API key..
  • invert_segmentation_mask (boolean): Invert segmentation mask to inpaint background instead of foreground..
  • seed (integer): A specific value that is used to guide the 'randomness' of the generation. If not provided, a random seed is used. Must be a number between 0 and 4294967294.

• 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",
    "invert_segmentation_mask": "<block_does_not_provide_example>",
    "preset": "3d-model",
    "seed": 200
}