Stability AI Outpainting

Class: StabilityAIOutpaintingBlockV1

Source: inference.core.workflows.core_steps.models.foundation.stability_ai.outpainting.v1.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: Clip Comparison, Florence-2 Model, Morphological Transformation, Google Gemini, LMM, Instance Segmentation Model, Polygon Zone Visualization, Email Notification, Keypoint Visualization, Roboflow Custom Metadata, Camera Focus, Anthropic Claude, Multi-Label Classification Model, Pixel Color Count, Image Threshold, LMM For Classification, Keypoint Detection Model, Anthropic Claude, Email Notification, Reference Path Visualization, Stitch OCR Detections, Camera Focus, Image Slicer, Stability AI Image Generation, Stability AI Outpainting, Stitch Images, Blur Visualization, OpenAI, Detection Event Log, Roboflow Dataset Upload, Depth Estimation, Google Gemini, CogVLM, Image Preprocessing, Identify Outliers, Local File Sink, Florence-2 Model, Image Convert Grayscale, Dynamic Crop, Dot Visualization, Triangle Visualization, OCR Model, Crop Visualization, Twilio SMS Notification, Perspective Correction, Twilio SMS/MMS Notification, EasyOCR, Grid Visualization, Google Gemini, Line Counter, Trace Visualization, QR Code Generator, Pixelate Visualization, Detections Consensus, OpenAI, Camera Calibration, Roboflow Dataset Upload, Webhook Sink, Single-Label Classification Model, Object Detection Model, VLM as Detector, Background Subtraction, SIFT Comparison, Bounding Box Visualization, Contrast Equalization, Halo Visualization, Model Comparison Visualization, Label Visualization, Slack Notification, OpenAI, Circle Visualization, Image Contours, Background Color Visualization, Image Blur, Mask Visualization, VLM as Classifier, Google Vision OCR, Llama 3.2 Vision, Color Visualization, Corner Visualization, Classification Label Visualization, OpenAI, Template Matching, Line Counter Visualization, Ellipse Visualization, Icon Visualization, Model Monitoring Inference Aggregator, Line Counter, Image Slicer, Absolute Static Crop, Polygon Visualization, SIFT Comparison, Stability AI Inpainting, Identify Changes, Distance Measurement, Relative Static Crop, SIFT, CSV Formatter, Text Display
• outputs: Instance Segmentation Model, Clip Comparison, Florence-2 Model, Morphological Transformation, Google Gemini, LMM, Instance Segmentation Model, Motion Detection, Email Notification, Detections Stitch, Polygon Zone Visualization, Keypoint Visualization, Camera Focus, Anthropic Claude, Multi-Label Classification Model, Pixel Color Count, Image Threshold, LMM For Classification, Keypoint Detection Model, Anthropic Claude, Gaze Detection, Reference Path Visualization, Camera Focus, Stability AI Image Generation, Stitch Images, Stability AI Outpainting, Image Slicer, SmolVLM2, OpenAI, Roboflow Dataset Upload, Depth Estimation, YOLO-World Model, Google Gemini, CogVLM, Image Preprocessing, VLM as Detector, Florence-2 Model, Image Convert Grayscale, SAM 3, Byte Tracker, Dynamic Crop, Time in Zone, Perception Encoder Embedding Model, Moondream2, Triangle Visualization, Dot Visualization, OCR Model, Seg Preview, Crop Visualization, Twilio SMS/MMS Notification, Perspective Correction, EasyOCR, SAM 3, Google Gemini, Object Detection Model, Text Display, Trace Visualization, Pixelate Visualization, OpenAI, CLIP Embedding Model, Camera Calibration, Roboflow Dataset Upload, Buffer, Barcode Detection, Object Detection Model, Single-Label Classification Model, QR Code Detection, VLM as Detector, Background Subtraction, Bounding Box Visualization, Contrast Equalization, Model Comparison Visualization, Halo Visualization, Label Visualization, OpenAI, Circle Visualization, Qwen2.5-VL, Image Contours, Image Blur, Background Color Visualization, Mask Visualization, Dominant Color, VLM as Classifier, Google Vision OCR, Llama 3.2 Vision, Color Visualization, Corner Visualization, Classification Label Visualization, Single-Label Classification Model, OpenAI, Segment Anything 2 Model, Clip Comparison, Template Matching, Line Counter Visualization, Icon Visualization, Ellipse Visualization, Image Slicer, Detections Stabilizer, Absolute Static Crop, VLM as Classifier, Polygon Visualization, SIFT Comparison, Stability AI Inpainting, Qwen3-VL, SAM 3, Keypoint Detection Model, Relative Static Crop, SIFT, Blur Visualization, Multi-Label Classification 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[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"
}