Stability AI Image Generation¶
Class: StabilityAIImageGenBlockV1
The block wraps Stability AI image generation API and let users generate new images from text, or create variations of existing images.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/stability_ai_image_gen@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
strength |
float |
controls how much influence the image parameter has on the generated image. A value of 0 would yield an image that is identical to the input. A value of 1 would be as if you passed in no image at all.. | ✅ |
prompt |
str |
Prompt to generate new images from text (what you wish to see). | ✅ |
negative_prompt |
str |
Negative prompt to image generation model (what you do not wish to see). | ✅ |
model |
str |
choose one of {'core', 'ultra', 'sd3'}. Default 'core' . | ✅ |
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 Image Generation in version v1.
- inputs:
Stitch Images,Image Threshold,Email Notification,Corner Visualization,Image Blur,Ellipse Visualization,OpenAI,Roboflow Dataset Upload,Object Detection Model,Depth Estimation,Stitch OCR Detections,EasyOCR,Absolute Static Crop,CogVLM,Google Gemini,Stability AI Image Generation,Grid Visualization,Dynamic Crop,Image Slicer,Image Preprocessing,Relative Static Crop,SIFT,Morphological Transformation,Instance Segmentation Model,Line Counter Visualization,Trace Visualization,LMM For Classification,Halo Visualization,Dot Visualization,GLM-OCR,Model Monitoring Inference Aggregator,Roboflow Custom Metadata,Pixelate Visualization,Circle Visualization,Image Convert Grayscale,Icon Visualization,QR Code Generator,S3 Sink,Keypoint Detection Model,Twilio SMS Notification,Halo Visualization,Camera Focus,Anthropic Claude,OCR Model,Polygon Visualization,Text Display,Detections Consensus,Reference Path Visualization,Identify Changes,Llama 3.2 Vision,CSV Formatter,Crop Visualization,Roboflow Dataset Upload,Mask Visualization,Heatmap Visualization,Webhook Sink,Label Visualization,Classification Label Visualization,Google Vision OCR,Florence-2 Model,Florence-2 Model,VLM As Detector,Polygon Zone Visualization,Stability AI Inpainting,Google Gemini,Perspective Correction,Camera Calibration,Anthropic Claude,OpenAI,OpenAI,Qwen3.5-VL,Background Color Visualization,Anthropic Claude,Email Notification,Background Subtraction,Contrast Equalization,SIFT Comparison,Multi-Label Classification Model,Keypoint Visualization,Stitch OCR Detections,LMM,Identify Outliers,Color Visualization,Single-Label Classification Model,OpenAI,Roboflow Vision Events,Local File Sink,VLM As Classifier,Twilio SMS/MMS Notification,Triangle Visualization,Clip Comparison,Blur Visualization,Bounding Box Visualization,Camera Focus,Polygon Visualization,Google Gemini,Image Slicer,Image Contours,Model Comparison Visualization,Stability AI Outpainting,Slack Notification - outputs:
Stitch Images,Image Threshold,Corner Visualization,Image Blur,Ellipse Visualization,OpenAI,Roboflow Dataset Upload,Object Detection Model,Barcode Detection,Depth Estimation,Gaze Detection,EasyOCR,Absolute Static Crop,Multi-Label Classification Model,CogVLM,Google Gemini,Stability AI Image Generation,Time in Zone,Dynamic Crop,Instance Segmentation Model,Image Slicer,Image Preprocessing,SIFT,Relative Static Crop,Morphological Transformation,Line Counter Visualization,Trace Visualization,LMM For Classification,Halo Visualization,Dot Visualization,ByteTrack Tracker,GLM-OCR,Keypoint Detection Model,Pixel Color Count,Pixelate Visualization,Circle Visualization,Semantic Segmentation Model,Image Convert Grayscale,Icon Visualization,Keypoint Detection Model,Detections Stabilizer,Halo Visualization,Camera Focus,Anthropic Claude,SAM 3,OC-SORT Tracker,OCR Model,Polygon Visualization,Text Display,Qwen2.5-VL,Reference Path Visualization,Instance Segmentation Model,Llama 3.2 Vision,Qwen3-VL,Crop Visualization,Roboflow Dataset Upload,Mask Visualization,Moondream2,CLIP Embedding Model,SORT Tracker,Heatmap Visualization,Label Visualization,Google Vision OCR,Byte Tracker,Classification Label Visualization,Florence-2 Model,Segment Anything 2 Model,Florence-2 Model,VLM As Detector,Polygon Zone Visualization,Stability AI Inpainting,VLM As Classifier,Google Gemini,SAM 3,Perspective Correction,Anthropic Claude,OpenAI,Camera Calibration,VLM As Detector,OpenAI,Qwen3.5-VL,Template Matching,Background Color Visualization,Anthropic Claude,Email Notification,Background Subtraction,SIFT Comparison,Contrast Equalization,Multi-Label Classification Model,Keypoint Visualization,LMM,SmolVLM2,Single-Label Classification Model,Perception Encoder Embedding Model,SAM 3,Motion Detection,Seg Preview,Single-Label Classification Model,Color Visualization,Object Detection Model,OpenAI,Dominant Color,Roboflow Vision Events,QR Code Detection,VLM As Classifier,Detections Stitch,Clip Comparison,YOLO-World Model,Triangle Visualization,Buffer,Clip Comparison,Twilio SMS/MMS Notification,Bounding Box Visualization,Blur Visualization,Camera Focus,Polygon Visualization,Google Gemini,Image Slicer,Image Contours,Model Comparison Visualization,Stability AI Outpainting
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Stability AI Image Generation in version v1 has.
Bindings
-
input
image(image): The image to use as the starting point for the generation..strength(float_zero_to_one): controls how much influence the image parameter has on the generated image. A value of 0 would yield an image that is identical to the input. A value of 1 would be as if you passed in no image at all..prompt(string): Prompt to generate new images from text (what you wish to see).negative_prompt(string): Negative prompt to image generation model (what you do not wish to see).model(string): choose one of {'core', 'ultra', 'sd3'}. Default 'core' .api_key(Union[secret,string]): Your Stability AI API key.
-
output
image(image): Image in workflows.
Example JSON definition of step Stability AI Image Generation in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/stability_ai_image_gen@v1",
"image": "$inputs.image",
"strength": 0.3,
"prompt": "my prompt",
"negative_prompt": "my prompt",
"model": "my prompt",
"api_key": "xxx-xxx"
}