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