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

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
}