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@v1
to 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:
Segment Anything 2 Model
,Image Slicer
,Stability AI Inpainting
,Clip Comparison
,Perspective Correction
,Object Detection Model
,Roboflow Custom Metadata
,SIFT Comparison
,Detection Offset
,Grid Visualization
,Ellipse Visualization
,SIFT
,CogVLM
,VLM as Detector
,Image Contours
,OpenAI
,Absolute Static Crop
,Camera Focus
,Trace Visualization
,Multi-Label Classification Model
,Dot Visualization
,Google Vision OCR
,Polygon Zone Visualization
,Roboflow Dataset Upload
,Classification Label Visualization
,Corner Visualization
,Llama 3.2 Vision
,Dynamic Crop
,Reference Path Visualization
,Label Visualization
,Detections Stabilizer
,Mask Visualization
,Triangle Visualization
,Line Counter Visualization
,Dynamic Zone
,Detections Transformation
,Time in Zone
,Model Monitoring Inference Aggregator
,Blur Visualization
,Line Counter
,Anthropic Claude
,Instance Segmentation Model
,Webhook Sink
,Time in Zone
,Instance Segmentation Model
,Slack Notification
,Detections Filter
,Stitch OCR Detections
,Pixelate Visualization
,Path Deviation
,OpenAI
,Relative Static Crop
,Twilio SMS Notification
,VLM as Classifier
,Roboflow Dataset Upload
,Google Gemini
,Model Comparison Visualization
,Halo Visualization
,Crop Visualization
,Image Blur
,Circle Visualization
,Velocity
,Keypoint Detection Model
,Image Preprocessing
,Background Color Visualization
,Bounding Rectangle
,Florence-2 Model
,Bounding Box Visualization
,Florence-2 Model
,Local File Sink
,Image Slicer
,LMM For Classification
,Stitch Images
,Stability AI Image Generation
,Image Threshold
,Detections Stitch
,OCR Model
,LMM
,Keypoint Visualization
,Email Notification
,Color Visualization
,Path Deviation
,Single-Label Classification Model
,CSV Formatter
,Image Convert Grayscale
,Detections Classes Replacement
,Polygon Visualization
- outputs:
Segment Anything 2 Model
,Image Slicer
,Stability AI Inpainting
,Clip Comparison
,Perspective Correction
,Object Detection Model
,Object Detection Model
,SIFT Comparison
,CogVLM
,Ellipse Visualization
,SIFT
,VLM as Detector
,Image Contours
,Multi-Label Classification Model
,OpenAI
,Absolute Static Crop
,Camera Focus
,Trace Visualization
,CLIP Embedding Model
,Multi-Label Classification Model
,VLM as Detector
,Dot Visualization
,Google Vision OCR
,Clip Comparison
,Polygon Zone Visualization
,Gaze Detection
,Roboflow Dataset Upload
,VLM as Classifier
,Classification Label Visualization
,Corner Visualization
,Llama 3.2 Vision
,Dynamic Crop
,Reference Path Visualization
,Detections Stabilizer
,Label Visualization
,Mask Visualization
,Triangle Visualization
,Template Matching
,Line Counter Visualization
,Dominant Color
,Barcode Detection
,Blur Visualization
,Anthropic Claude
,Instance Segmentation Model
,Time in Zone
,Instance Segmentation Model
,Pixelate Visualization
,OpenAI
,Relative Static Crop
,VLM as Classifier
,Keypoint Detection Model
,Roboflow Dataset Upload
,Google Gemini
,Model Comparison Visualization
,Halo Visualization
,Crop Visualization
,Qwen2.5-VL
,Image Blur
,Circle Visualization
,Buffer
,Keypoint Detection Model
,Image Preprocessing
,Background Color Visualization
,QR Code Detection
,Pixel Color Count
,Florence-2 Model
,Single-Label Classification Model
,Bounding Box Visualization
,Byte Tracker
,Florence-2 Model
,Image Slicer
,LMM For Classification
,Stitch Images
,Stability AI Image Generation
,Image Threshold
,Detections Stitch
,OCR Model
,LMM
,Keypoint Visualization
,Color Visualization
,Single-Label Classification Model
,YOLO-World Model
,Image Convert Grayscale
,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[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"
}