This workflow automates the process of generating, reviewing, and refining images using AI and human input. Starting with a manual trigger, it sets a custom image prompt and uses OpenAI’s DALL-E 2 to generate an initial image. The image is then sent for review through GotoHuman, allowing for human feedback and quality control. If the image is rejected, the workflow regenerates it with an updated prompt and repeats the review process. This cycle ensures high-quality, human-approved images for use in projects such as marketing, creative assets, or product showcases.

The workflow involves several key nodes:

– Manual trigger to start the process

– Set node to define the image prompt

– OpenAI nodes to generate images

– GotoHuman review nodes to facilitate human feedback

– Conditional logic to handle rejection and regeneration

This automation is ideal for scenarios where high-quality, reviewed images are required, such as advertising campaigns, creative content production, or user-generated content moderation, streamlining the review cycle while maintaining quality standards.

Node Count	11 – 20 Nodes
Nodes Used	@gotohuman/n8n-nodes-gotohuman.gotoHuman, @n8n/n8n-nodes-langchain.openAi, if, manualTrigger, set, splitInBatches, stickyNote