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