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.
Runtime compatibility¶
-
requires_internet— air-gapped / offline deployments - This block depends on a service that is not reachable from fully offline / air-gapped deployments.
Available Connections¶
Compatible Blocks
Check what blocks you can connect to Stability AI Outpainting in version v1.
- inputs:
Roboflow Asset Library Attributes,MoonshotAI Kimi,Image Blur,Reference Path Visualization,SIFT Comparison,Event Writer,Slack Notification,Halo Visualization,VLM As Classifier,Image Stack,Google Gemma,Qwen 3.6 API,Dot Visualization,Label Visualization,Background Color Visualization,Llama 3.2 Vision,Email Notification,Pixelate Visualization,OpenAI-Compatible LLM,Google Gemini,Anthropic Claude,OpenAI,Trace Visualization,Llama 3.2 Vision,Detection Event Log,Clip Comparison,Camera Focus,OpenAI,GLM-OCR,MQTT Writer,SIFT Comparison,CSV Formatter,Webhook Sink,Image Contours,Local File Sink,Google Gemini,MoonshotAI Kimi,Polygon Visualization,SIFT,Classification Label Visualization,Multi-Label Classification Model,Keypoint Detection Model,Keypoint Visualization,Template Matching,Icon Visualization,Dynamic Crop,Stability AI Inpainting,Bounding Box Visualization,Polygon Zone Visualization,Stability AI Outpainting,Crop Visualization,Image Convert Grayscale,Mask Visualization,Halo Visualization,Distance Measurement,Text Display,Morphological Transformation,Anthropic Claude,Roboflow Dataset Upload,Detections Consensus,Object Detection Model,Ellipse Visualization,Circle Visualization,Twilio SMS Notification,Email Notification,S3 Sink,Camera Focus,Identify Changes,Image Slicer,LMM For Classification,OCR Model,Heatmap Visualization,OpenAI,Google Gemma API,Stitch Images,Identify Outliers,Morphological Transformation,EasyOCR,Current Time,Blur Visualization,Stitch OCR Detections,Florence-2 Model,Google Gemini,Corner Visualization,OpenRouter,Pixel Color Count,Model Comparison Visualization,Model Monitoring Inference Aggregator,Google Vision OCR,Image Threshold,LMM,Single-Label Classification Model,Polygon Visualization,Stability AI Image Generation,Line Counter Visualization,Line Counter,CogVLM,Relative Static Crop,Qwen3.5-VL,Grid Visualization,Image Preprocessing,Stitch OCR Detections,Anthropic Claude,OPC UA Writer Sink,Color Visualization,Triangle Visualization,QR Code Generator,Contrast Enhancement,Roboflow Dataset Upload,Absolute Static Crop,Qwen 3.5 API,Background Subtraction,OpenAI,Image Slicer,Qwen-VL,Florence-2 Model,Perspective Correction,Twilio SMS/MMS Notification,Roboflow Vision Events,Microsoft SQL Server Sink,Instance Segmentation Model,Depth Estimation,Roboflow Custom Metadata,Contrast Equalization,Camera Calibration,VLM As Detector,Line Counter - outputs:
MoonshotAI Kimi,Image Blur,SmolVLM2,Reference Path Visualization,Event Writer,SAM2 Video Tracker,VLM As Classifier,Halo Visualization,CLIP Embedding Model,Image Stack,Clip Comparison,Google Gemma,Qwen 3.6 API,Object Detection Model,Dot Visualization,Label Visualization,Background Color Visualization,Llama 3.2 Vision,SAM 3 Interactive,Pixelate Visualization,Qwen3-VL,Google Gemini,Track Class Lock,Anthropic Claude,OpenAI,Trace Visualization,Llama 3.2 Vision,ByteTrack Tracker,Clip Comparison,Camera Focus,GLM-OCR,OpenAI,Qwen3.5,Buffer,QR Code Detection,SIFT Comparison,Image Contours,Motion Detection,Google Gemini,MoonshotAI Kimi,Polygon Visualization,SIFT,Classification Label Visualization,Multi-Label Classification Model,Instance Segmentation Model,Keypoint Detection Model,Template Matching,Keypoint Visualization,Instance Segmentation Model,Icon Visualization,Seg Preview,Dynamic Crop,Stability AI Inpainting,Bounding Box Visualization,BoT-SORT Tracker,Multi-Label Classification Model,Polygon Zone Visualization,Crop Visualization,Stability AI Outpainting,Image Convert Grayscale,Mask Visualization,Halo Visualization,Detections Stitch,SORT Tracker,Barcode Detection,Text Display,Anthropic Claude,Morphological Transformation,VLM As Classifier,Roboflow Dataset Upload,VLM As Detector,Object Detection Model,Ellipse Visualization,Keypoint Detection Model,SAM3 Video Tracker,SAM 3,Circle Visualization,Semantic Segmentation Model,Email Notification,Camera Focus,Single-Label Classification Model,SAM 3,Image Slicer,LMM For Classification,Dominant Color,OCR Model,Heatmap Visualization,Google Gemma API,OpenAI,Stitch Images,Morphological Transformation,EasyOCR,Single-Label Classification Model,YOLO-World Model,Blur Visualization,Moondream2,Florence-2 Model,Google Gemini,Corner Visualization,OpenRouter,Detections Stabilizer,Pixel Color Count,Model Comparison Visualization,SAM 3,Google Vision OCR,Byte Tracker,Image Threshold,Instance Segmentation Model,LMM,Single-Label Classification Model,Polygon Visualization,Segment Anything 2 Model,Time in Zone,Mask Edge Snap,Line Counter Visualization,Stability AI Image Generation,CogVLM,Relative Static Crop,Qwen3.5-VL,Image Preprocessing,Gaze Detection,Anthropic Claude,Color Visualization,Triangle Visualization,Roboflow Dataset Upload,Contrast Enhancement,Absolute Static Crop,Qwen 3.5 API,Background Subtraction,Multi-Label Classification Model,OC-SORT Tracker,OpenAI,Image Slicer,Semantic Segmentation Model,Qwen-VL,Florence-2 Model,Perspective Correction,Roboflow Vision Events,Twilio SMS/MMS Notification,Perception Encoder Embedding Model,Instance Segmentation Model,Depth Estimation,Contrast Equalization,Camera Calibration,VLM As Detector,Qwen2.5-VL,Keypoint Detection Model,Object Detection Model
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"
}