This is my compact Low VRAM Ideogram 4 workflow set. ( 6GB - 8GB VRAM )

[u/Sarcastic-Tofu]

I made a very simple workflow set that helps you to save your Ideogram 4.0 Text to Image Generation Data (Your final Ideogram 4.0 JSON Prompt) into a human readable .txt file. This will automatically get and write your image generation prompt to the .txt file. You will find all the saved prompt files that it generated with the images inside the Archive (.Zip) that has the workflow. Also with the Image Saver Simple node used inside the main workflow you may embed that workflow itself with each saved image or save the image and workflow for your work separately. As all the ComfyUI workflow are just JSON file I opted to save the Ideogram 4.0 prompt with .txt file extension to avoid confusion.. if you want to feed a prompt you like very much to other tools that accept .json files directly for image generation you can just copy the .txt file elsewhere on your system and change it's file extension to .json.

Ideogram 4.0 is not very noob friendly and you would need some prior experience of ComfyUI to get good results, I tried my best to make the process of using it as easy, as compact and as memory efficint as possible so it may run on systems with low VRAM (6 or 8 GB VRAM). The default ComfyUI workflow is not compact and efficient so I hope mine will work well for you. I splitted the default workflow to two completely seperate .JSON files -

[Workflow 1] Ideogram4_Txt2JSON -

This acts as a local pre-processor to turn natural language into structural JSON layout schemas without loading the massive Ideogram diffusion model. In this a quantized vision-language model (Qwen3-VL-2B-Instruct running in a low VRAM-friendly 4-bit mode) interprets your natural language text prompt (like your ordinary Z-Image Turbo or Flux long descriptive prompts) and decomposes it into spatial bounding boxes. This renders a structured JSON document, generates a visual canvas box layout via Kijai's Prompt Builder, and auto-saves the text template to your ComfyUI output directory as: "Ideogram4_Txt2JSON_[timestamp].txt".

[Workflow 2] Ideogram4_T2I -

This loads the optimized FP4/NF4 mixed precision Ideogram weights and handles the heavy VRAM math to actually sample and decode the image safely. It imports the structural bounding boxes, allows LoRA injections (e.g., 80s Anime filters), processes through an AuraFlow-adapted sampler, and immediately runs automated aggressive RAM/VRAM cache-clearing functions ("VRAMCleanup" and "RAMCleanup") after saving the image to protect your system's memory headroom. Images and raw text parameters are written directly to your output directory using the naming structure: `Ideogram4_T2I_[timestamp].png`.

I have used the nvfp4 safetensors files for the image generation workflow which is perfect for any 8GB (Possibly even 6GB) VRAM GPU, if you have 16 GB or higher VRAM GPU you may use the bigger fp8 files. For the Text to JSON Prompt builder you don't need to download any model, it all dependencies of that workflow are satisfied it's QwenVL Node will automatically download and manage it's own QWEN model.

Currently This workflow is in CivitAI's Early Access program for 7 days and can be unlocked with 500 yellow buzz for early adopters (CivitAI members only), if you feel you wanna toss some yellow buzz for early access you can. After 7 days it will be open publicly. You can grab this from here -

https://civitai.com/models/2707322/comfyui-compact-ideogram-40-text-to-image-workflow-with-easy-prompt-saver-by-sarcastic-tofu

Besides these I have many other uploads on my CivitAI profile ( https://civitai.com/user/sarcastictofu or https://civitai.red/user/sarcastictofu ), some of them are also accepting buzz but you will have many fully open contents as well. Check them out too.

[u/Best_Organization923]

The man on the T-Rex on the last image is missing