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

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"
}