Stability AI Outpainting¶
Class: StabilityAIOutpaintingBlockV1
The block wraps Stability AI outpainting API and let users use object detection results to change the content of images in a creative way.
The block sends crop of the image to the API together with directions where to outpaint.
As a result, the API returns the image with outpainted regions.
At least one of left, right, up, down must be provided, otherwise original image is returned.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/stability_ai_outpainting@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
creativity |
float |
Creativity parameter for outpainting. Higher values result in more creative outpainting.. | ✅ |
left |
int |
Number of pixels to outpaint on the left side of the image. Max value is 2000.. | ✅ |
right |
int |
Number of pixels to outpaint on the right side of the image. Max value is 2000.. | ✅ |
up |
int |
Number of pixels to outpaint on the top side of the image. Max value is 2000.. | ✅ |
down |
int |
Number of pixels to outpaint on the bottom side of the image. Max value is 2000.. | ✅ |
prompt |
str |
Optional prompt to apply when outpainting the image (what you wish to see). If not provided, the image will be outpainted without any prompt.. | ✅ |
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. | ✅ |
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 Outpainting in version v1.
- inputs:
Image Threshold,Email Notification,Corner Visualization,Roboflow Dataset Upload,Object Detection Model,Stitch OCR Detections,Stability AI Image Generation,Grid Visualization,Dynamic Crop,Image Slicer,Image Preprocessing,Instance Segmentation Model,SIFT,Line Counter Visualization,Trace Visualization,Halo Visualization,Roboflow Custom Metadata,Pixelate Visualization,Circle Visualization,S3 Sink,Keypoint Detection Model,Twilio SMS Notification,Halo Visualization,SIFT Comparison,Anthropic Claude,Polygon Visualization,Detections Consensus,Identify Changes,Crop Visualization,Roboflow Dataset Upload,Mask Visualization,Heatmap Visualization,Webhook Sink,Google Vision OCR,Florence-2 Model,Florence-2 Model,Anthropic Claude,OpenAI,OpenAI,Background Color Visualization,Template Matching,Anthropic Claude,Background Subtraction,SIFT Comparison,Multi-Label Classification Model,Keypoint Visualization,Stitch OCR Detections,LMM,Identify Outliers,Single-Label Classification Model,Roboflow Vision Events,VLM As Classifier,Triangle Visualization,Distance Measurement,Google Gemini,Image Slicer,Image Contours,Model Comparison Visualization,Stability AI Outpainting,Stitch Images,Image Blur,Ellipse Visualization,OpenAI,Depth Estimation,EasyOCR,Absolute Static Crop,CogVLM,Google Gemini,Relative Static Crop,Morphological Transformation,LMM For Classification,Detection Event Log,Dot Visualization,GLM-OCR,Model Monitoring Inference Aggregator,Pixel Color Count,Image Convert Grayscale,Icon Visualization,QR Code Generator,Camera Focus,OCR Model,Text Display,Reference Path Visualization,Llama 3.2 Vision,CSV Formatter,Label Visualization,Classification Label Visualization,Polygon Zone Visualization,Stability AI Inpainting,Google Gemini,Perspective Correction,Camera Calibration,Qwen3.5-VL,Email Notification,Contrast Equalization,Line Counter,Line Counter,Color Visualization,OpenAI,Local File Sink,Twilio SMS/MMS Notification,Clip Comparison,Blur Visualization,Bounding Box Visualization,Camera Focus,Polygon Visualization,VLM As Detector,Slack Notification - outputs:
Stitch Images,Image Threshold,Corner Visualization,Image Blur,Ellipse Visualization,OpenAI,Roboflow Dataset Upload,Object Detection Model,Barcode Detection,Depth Estimation,Gaze Detection,EasyOCR,Absolute Static Crop,Multi-Label Classification Model,CogVLM,Google Gemini,Stability AI Image Generation,Time in Zone,Dynamic Crop,Instance Segmentation Model,Image Slicer,Image Preprocessing,SIFT,Relative Static Crop,Morphological Transformation,Line Counter Visualization,Trace Visualization,LMM For Classification,Halo Visualization,Dot Visualization,ByteTrack Tracker,GLM-OCR,Keypoint Detection Model,Pixel Color Count,Pixelate Visualization,Circle Visualization,Semantic Segmentation Model,Image Convert Grayscale,Icon Visualization,Keypoint Detection Model,Detections Stabilizer,Halo Visualization,Camera Focus,Anthropic Claude,SAM 3,OC-SORT Tracker,OCR Model,Polygon Visualization,Text Display,Qwen2.5-VL,Reference Path Visualization,Instance Segmentation Model,Llama 3.2 Vision,Qwen3-VL,Crop Visualization,Roboflow Dataset Upload,Mask Visualization,Moondream2,CLIP Embedding Model,SORT Tracker,Heatmap Visualization,Label Visualization,Google Vision OCR,Byte Tracker,Classification Label Visualization,Florence-2 Model,Segment Anything 2 Model,Florence-2 Model,VLM As Detector,Polygon Zone Visualization,Stability AI Inpainting,VLM As Classifier,Google Gemini,SAM 3,Perspective Correction,Anthropic Claude,OpenAI,Camera Calibration,VLM As Detector,OpenAI,Qwen3.5-VL,Template Matching,Background Color Visualization,Anthropic Claude,Email Notification,Background Subtraction,SIFT Comparison,Contrast Equalization,Multi-Label Classification Model,Keypoint Visualization,LMM,SmolVLM2,Single-Label Classification Model,Perception Encoder Embedding Model,SAM 3,Motion Detection,Seg Preview,Single-Label Classification Model,Color Visualization,Object Detection Model,OpenAI,Dominant Color,Roboflow Vision Events,QR Code Detection,VLM As Classifier,Detections Stitch,Clip Comparison,YOLO-World Model,Triangle Visualization,Buffer,Clip Comparison,Twilio SMS/MMS Notification,Bounding Box Visualization,Blur Visualization,Camera Focus,Polygon Visualization,Google Gemini,Image Slicer,Image Contours,Model Comparison Visualization,Stability AI Outpainting
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Stability AI Outpainting in version v1 has.
Bindings
-
input
image(image): The image to outpaint..creativity(float_zero_to_one): Creativity parameter for outpainting. Higher values result in more creative outpainting..left(integer): Number of pixels to outpaint on the left side of the image. Max value is 2000..right(integer): Number of pixels to outpaint on the right side of the image. Max value is 2000..up(integer): Number of pixels to outpaint on the top side of the image. Max value is 2000..down(integer): Number of pixels to outpaint on the bottom side of the image. Max value is 2000..prompt(string): Optional prompt to apply when outpainting the image (what you wish to see). If not provided, the image will be outpainted without any prompt..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.api_key(Union[secret,string]): Your Stability AI API key..
-
output
image(image): Image in workflows.
Example JSON definition of step Stability AI Outpainting in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/stability_ai_outpainting@v1",
"image": "$inputs.image",
"creativity": 0.5,
"left": 200,
"right": 200,
"up": 200,
"down": 200,
"prompt": "my prompt",
"preset": "3d-model",
"seed": 200,
"api_key": "xxx-xxx"
}