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