RunningHub workflow:
https://www.runninghub.ai/post/2063896772245811201/?inviteCode=rh-v1497
YouTube tutorial:
Run Online:
Tutorial & Demo:
## Workflow Overview
This is a fully automated, convenient text-to-image workflow for Ideogram4. Since the model responds best to JSON-structured prompts, this workflow defaults to connecting a large language model (LLM) to automatically convert natural language inputs into the required JSON format, enabling a seamless generation pipeline.
## Core Features
- Fully Automatic Prompt Conversion: Integrates an LLM interface to automatically translate user natural language descriptions into the JSON prompt structure preferred by the model.
- Open-Weights Model: Based on Ideogram4, currently the best open-source image generator, with a strong tilt toward design productivity and artistic aesthetics.
- Realistic Skin Texture: Generated portraits retain natural skin details and imperfections, avoiding an over-airbrushed, plastic look for greater realism.
- Excellent Text-in-Image: Excels at generating images with accurate, embedded text, making it perfect for posters, ads, and cover designs.
Description
FAQ
Comments (1)
This workflow uses custom nodes you haven't installed yet.
Unknown pack (2)
MuyeTextEditOutput
RHLLMChatNode
Comfy also fails to find the required nodes











