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