Stability AI Inpainting¶
Class: 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:
Dynamic Crop,OCR Model,Image Blur,Background Subtraction,Google Vision OCR,Google Gemini,Image Preprocessing,Local File Sink,Single-Label Classification Model,Bounding Box Visualization,Model Monitoring Inference Aggregator,Keypoint Detection Model,Camera Focus,Identify Outliers,Dot Visualization,Florence-2 Model,Roboflow Dataset Upload,CSV Formatter,Depth Estimation,Polygon Visualization,OpenAI,Line Counter,Image Slicer,Detections List Roll-Up,Line Counter Visualization,Heatmap Visualization,Morphological Transformation,Stability AI Image Generation,Google Gemini,Distance Measurement,Keypoint Visualization,Background Color Visualization,Label Visualization,Polygon Visualization,LMM,CogVLM,Time in Zone,Triangle Visualization,Stability AI Outpainting,Mask Visualization,Color Visualization,Detections Combine,Text Display,Bounding Rectangle,Reference Path Visualization,Llama 3.2 Vision,OpenAI,Image Threshold,Clip Comparison,Classification Label Visualization,Polygon Zone Visualization,Image Contours,VLM As Classifier,Roboflow Custom Metadata,Dynamic Zone,LMM For Classification,Velocity,Halo Visualization,Blur Visualization,Path Deviation,Absolute Static Crop,Anthropic Claude,SAM 3,Detections Transformation,Ellipse Visualization,Identify Changes,Crop Visualization,Path Deviation,SIFT Comparison,Trace Visualization,Twilio SMS Notification,Stitch Images,Detections Stabilizer,Time in Zone,Motion Detection,Email Notification,SIFT Comparison,OpenAI,Seg Preview,Time in Zone,Instance Segmentation Model,Anthropic Claude,Multi-Label Classification Model,Detections Stitch,Email Notification,Slack Notification,Twilio SMS/MMS Notification,VLM As Detector,Camera Focus,SAM 3,Stitch OCR Detections,Perspective Correction,PTZ Tracking (ONVIF),Camera Calibration,Corner Visualization,Icon Visualization,Qwen3.5-VL,VLM As Detector,Halo Visualization,Detection Event Log,JSON Parser,Pixelate Visualization,Contrast Equalization,VLM As Classifier,Instance Segmentation Model,Detections Classes Replacement,Relative Static Crop,Line Counter,Stitch OCR Detections,Webhook Sink,Circle Visualization,Image Convert Grayscale,Grid Visualization,Mask Area Measurement,Florence-2 Model,SAM 3,SIFT,Object Detection Model,Template Matching,Detections Consensus,Anthropic Claude,Google Gemini,Model Comparison Visualization,Detection Offset,QR Code Generator,EasyOCR,Image Slicer,S3 Sink,Stability AI Inpainting,Segment Anything 2 Model,Detections Filter,OpenAI,Pixel Color Count,Roboflow Dataset Upload - outputs:
Dynamic Crop,OCR Model,Barcode Detection,Motion Detection,Email Notification,Image Blur,Background Subtraction,Google Vision OCR,SIFT Comparison,Google Gemini,OpenAI,Image Preprocessing,Qwen2.5-VL,Seg Preview,Object Detection Model,Instance Segmentation Model,Single-Label Classification Model,Bounding Box Visualization,Multi-Label Classification Model,Anthropic Claude,Multi-Label Classification Model,Keypoint Detection Model,Detections Stitch,Twilio SMS/MMS Notification,Camera Focus,VLM As Detector,Gaze Detection,Florence-2 Model,Dot Visualization,Roboflow Dataset Upload,Camera Focus,SAM 3,Depth Estimation,Polygon Visualization,Moondream2,OpenAI,Perspective Correction,Image Slicer,Icon Visualization,Corner Visualization,Camera Calibration,Qwen3.5-VL,Line Counter Visualization,Heatmap Visualization,Google Gemini,Morphological Transformation,Stability AI Image Generation,Keypoint Visualization,VLM As Detector,Keypoint Detection Model,Halo Visualization,Background Color Visualization,Label Visualization,QR Code Detection,Polygon Visualization,Pixelate Visualization,LMM,CogVLM,Time in Zone,Single-Label Classification Model,Qwen3-VL,Contrast Equalization,Triangle Visualization,Stability AI Outpainting,Mask Visualization,VLM As Classifier,Color Visualization,Instance Segmentation Model,Dominant Color,Text Display,Relative Static Crop,Reference Path Visualization,OpenAI,Llama 3.2 Vision,Clip Comparison,Clip Comparison,Classification Label Visualization,Image Threshold,Circle Visualization,Polygon Zone Visualization,Image Contours,Image Convert Grayscale,VLM As Classifier,Byte Tracker,Buffer,Florence-2 Model,SmolVLM2,SAM 3,Perception Encoder Embedding Model,LMM For Classification,SIFT,YOLO-World Model,Halo Visualization,Template Matching,Object Detection Model,Semantic Segmentation Model,Anthropic Claude,Google Gemini,Model Comparison Visualization,Blur Visualization,EasyOCR,Absolute Static Crop,Image Slicer,Anthropic Claude,SAM 3,CLIP Embedding Model,Stability AI Inpainting,Ellipse Visualization,Crop Visualization,Trace Visualization,Segment Anything 2 Model,Stitch Images,Detections Stabilizer,OpenAI,Pixel Color Count,Roboflow Dataset Upload
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
}