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

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"
}