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

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"
}