Generate high-quality images using the cyberrealistic-pony-v125 model on Replicate. This automated n8n workflow features status polling and robust error handling.
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This n8n workflow provides a production-ready solution for asynchronous AI image generation using the Replicate API and the powerful 0xdino/cyberrealistic-pony-v125 model. Since AI generation is an asynchronous process, this n8n template utilizes sophisticated core logic flow control, specifically a polling loop with wait nodes, to continuously check the status of the prediction until it succeeds or fails. By implementing this robust structure within the n8n node sequence, you ensure reliability, error resilience, and timely retrieval of the final high-resolution image URL. This detailed n8n workflow handles everything from authentication and parameter configuration to logging and structured success/failure responses. Using this n8n automation simplifies the integration of advanced generative AI into any application.
Manual Trigger, the designated n8n trigger to initiate the image generation.Set API Token n8n node securely sets your Replicate API key.Set Other Parameters n8n node defines the image inputs, including the positive prompt, negative prompt, dimensions (768x1152), and technical specifications (CFG, steps).Create Other Prediction HTTP Request n8n node sends the request to the Replicate API, initiating the job and returning a unique prediction ID.Log Request code n8n node records the prediction ID for monitoring purposes.Wait 5s n8n node introduces an initial delay.Check Status HTTP Request n8n node uses the prediction ID to query the status of the generation job.Is Complete? n8n node checks if the status is 'succeeded'. If true, the n8n workflow branches to Success Response.Has Failed? n8n node checks for a 'failed' status. If failed, it moves to Error Response.Wait 10s n8n node to pause before looping back to Check Status, ensuring the process continues until completion. This efficient polling structure is key to this n8n template.Success Response (providing the image URL) or Error Response prepares the data for the final Display Result n8n node output.Set API Token n8n node. Replace the placeholder value YOURREPLICATEAPITOKEN with your actual Replicate API token.Set Other Parameters n8n node. You must customize the prompt and negativeprompt variables to define the image you want to generate. You can also adjust technical parameters like width, height, and steps.Manual Trigger n8n node to execute the n8n workflow and verify that the image generation and polling logic function correctly. Manual Trigger: The initial n8n trigger that starts the execution of this n8n workflow, ideal for testing or scheduled runs.
Set API Token (Set n8n node): Stores the sensitive Replicate API key as an item variable (apitoken) for use in subsequent HTTP calls.
Set Other Parameters (Set n8n node): Configures all necessary input variables for the image generation model, including the descriptive prompt and technical settings like steps (40) and dimensions (768x1152).
Create Other Prediction (HTTP Request n8n node): Initiates the asynchronous generation task on Replicate.
Function: POST request to https://api.replicate.com/v1/predictions.
Key Configuration: Uses the apitoken in the Authorization header (Bearer {{ $json.api_token }}) and includes the model version ID and all configured parameters in the JSON body.
Log Request (Code n8n node): A utility n8n node that logs generation details, prediction IDs, and timestamps to the console for monitoring the n8n workflow execution.
Wait 5s / Wait 10s (Wait n8n node): Implements necessary delays in the n8n workflow to prevent excessive API calls while waiting for the model to process the image.
Check Status (HTTP Request n8n node): Polls the Replicate API using the specific prediction ID to retrieve the current status (starting, processing, succeeded, or failed). This is central to the polling logic of this n8n template.
Is Complete? / Has Failed? (If n8n node): Core logic flow control n8n nodes that route the n8n workflow based on the received generation status, ensuring successful results are processed and failures are handled gracefully.
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