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

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"
}