Stability AI Image Generation

Class: StabilityAIImageGenBlockV1

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

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[string, secret]): 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"
}