Block 1 - Sticky Note - Workflow Overview
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Havis AI GPT Image 2 n8n Workflow Summary This n8n workflow submits an image generation job to Havis AI GPT Image 2 , waits for processing, polls task status, and returns result data when the job c...
n8n-nodes-base.stickynote, n8n-nodes-base.formtrigger, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.if, n8n-nodes-base.set
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Tran Trung Nghia.
Original n8n.io sourceThis n8n workflow submits an image generation job to Havis AI GPT Image 2, waits for processing, polls task status, and returns result data when the job completes.
https://havis.ai/api/gpt-image-2.https://havis.ai/api/task/{task_id}.api_key. Use only the key value; the workflow adds Bearer automatically.For production, store the API key in n8n credentials or environment variables instead of typing it into a public form.
prompt (Required) - stringmode (Optional) - stringaspect_ratio (Optional) - stringresolution (Optional) - stringimages - collected from form URL fields{
"prompt": "A cinematic fashion portrait with soft studio lighting",
"mode": "text-to-image",
"aspect_ratio": "auto",
"resolution": "1K"
}
POST https://havis.ai/api/gpt-image-2GET https://havis.ai/api/task/{task_id}task_id - The generation task ID returned by Havis AI.status - Usually completed, processing, or failed.model - The public model slug.result_urls - JSON string containing final R2/CDN result URLs.credits_used - Credits deducted for the submitted task when returned by the API.submitted_payload - The exact JSON payload sent to Havis AI.Return Result to expose this as your own mini API.Return Result to keep a generation log.401 or 403: check your API key.402: the account does not have enough credits or model pricing is missing.422: required fields are missing or a field value is invalid.https://havis.ai; use an API key created for Havis AI.This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Generate and Edit Images using Havis AI and GPT Image 2 |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Content Creation, Multimodal AI |
| Author | Tran Trung Nghia |
| Published | 16 May 2026 |
Use the JSON export at /data/workflows/15759/15759.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Havis AI GPT Image 2 n8n Workflow Summary This n8n workflow submits an image generation job to Havis AI GPT Image 2 , waits for processing, polls task status, and returns result data when the job c...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.