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July 19, 2026

Ideogram 4 is HERE: The Ultimate JSON Prompting Masterclass! + Ultimate Image Captioner Pro

Full tutorial link > https://www.youtube.com/watch?v=TW3MRdd0MV4

Tutorial Quick Info

Learn how to run Ideogram 4 locally with SwarmUI and ComfyUI, download the required model bundle, use ready Turbo/Balanced/Highest Quality presets, and create accurate structured JSON prompts with Ultimate Image Captioner Pro for image recreation, text rendering, batch captioning, and training dataset preparation.

Tutorial Links:

Fully supported model list is as below with fully working robust Torch Compile

  • Qwen Vision Models

    • Qwen3-VL 8B Instruct (default)

    • Huihui Qwen3-VL 8B Instruct Abliterated

    • Qwen3-VL 4B Instruct

    • Qwen3-VL 2B Instruct

    • Qwen3-VL 30B-A3B Instruct

    • Qwen3.6 27B

    • Huihui Qwen3.6 27B Abliterated

  • Joy Caption Models

    • Joy Caption Beta 1

    • Joy Caption Alpha 2

    • Joy Caption Alpha 1

    • Joy Caption Pre Alpha

Uses Latest Torch 2.13 With Ourselves Properly Compiled Latest Amazing Libraries

App Full Screenshot Click To See Full Size

Full Torch Compile That is 84% Faster

Windows, RunPod, SimplePod, Massed Compute (also local linux users uses this) Installer

Video Chapters:

  • 00:00:00 Ideogram 4 overview: JSON prompting, SwarmUI presets, ComfyUI workflows, and model bundle

  • 00:00:53 Ultimate Image Captioner Pro for turning reference images into Ideogram JSON prompts

  • 00:01:10 Editing JSON elements, bounding boxes, wanted text fields, captions, and prompt layout

  • 00:02:02 Regeneration examples showing structure, objects, scene layout, and image text matching

  • 00:03:18 Captioner Pro feature tour: Qwen, JoyCaption, saved outputs, and JSON builder

  • 00:04:30 Dataset workflow: prompt presets, batch folder captioning, and automatic VRAM presets

  • 00:05:13 Tutorial roadmap: ComfyUI update, SwarmUI update, model download, app install, usage

  • 00:05:40 Updating ComfyUI by extracting the latest installer zip and overwriting old files

  • 00:05:56 Optional fresh ComfyUI venv rebuild for fixing outdated or broken installations

  • 00:06:15 Running the ComfyUI update script, Python choice, UV speed, and quant support

  • 00:07:05 Installing recommended custom nodes bundle 100 for ComfyUI and SwarmUI compatibility

  • 00:07:50 Launching fresh ComfyUI and testing the Ideogram Turbo preset workflow

  • 00:08:47 Setting width, height, resolution, and matching prompt aspect ratio

  • 00:09:07 Updating SwarmUI with the latest zip, overwrite method, and safe folder paths

  • 00:09:48 Automatic .NET SDK 10 install and why SwarmUI needs the correct SDK version

  • 00:10:51 SwarmUI backend setup: ComfyUI backend, Triton, Sage Attention cautions, extra args

  • 00:11:44 Downloading the Ideogram 4 core bundle with hash verification

  • 00:12:28 16-connection parallel downloads, target folders, ComfyUI mode, and URL downloader

  • 00:13:20 Merging model parts and sharing SwarmUI models through extra_model_paths.yaml

  • 00:13:51 Setting SwarmUI model root to reuse another model folder and avoid duplicates

  • 00:14:12 Updating SwarmUI presets with delete import, normal import, overwrite, and backup

  • 00:14:58 Refreshing presets and confirming Ideogram Turbo, Balanced, and Highest Quality

  • 00:15:14 First simple Ideogram prompt, false safety filter block, and weak plain prompting

  • 00:15:34 Using Realism Engine Ideogram 5 LoRA to fix the blocked car prompt

  • 00:15:57 Why detailed JSON prompts are needed and downloading Captioner Pro

  • 00:16:23 Installing Captioner Pro with Windows install update app, venv, and model downloads

  • 00:16:34 Windows requirements: Python, CUDA, cuDNN, C++ tools, FFmpeg, Git, and setup guide

  • 00:17:03 Cloud/Linux notes plus Massed Compute interface, creator image, GPU, and coupon

  • 00:17:34 Captioner installer downloader: 16 connections, hash checks, and accurate setup

  • 00:17:57 Starting Ultimate Image Captioner Pro and saving custom user presets

  • 00:18:14 Loading the Bugatti reference image and generating official Ideogram JSON

  • 00:18:39 Prompt generation speed, copying the prompt, and understanding VRAM usage

  • 00:19:09 Subprocess mode to release all VRAM and RAM after each captioning run

  • 00:19:54 Reviewing generated JSON: high level description, visible text, boxes, and details

  • 00:20:21 Pasting JSON into SwarmUI and matching the custom 5:3 aspect ratio

  • 00:20:43 Aspect ratio calculator, side length control, and high resolution generation

  • 00:21:36 Comparing with and without aspect ratio metadata and avoiding false safety blocks

  • 00:21:58 Realism Engine LoRA strength, when to use it, and output comparison

  • 00:22:34 Choosing Turbo, Balanced, or Highest Quality and testing Turbo speed

  • 00:22:54 Ideogram 4 image to image, inpainting, image creativity, and image prompts

  • 00:23:19 Captioner Pro batch folder processing: subfolders, overwrite, and append modes

  • 00:23:35 Post processing captions with prefixes, suffixes, replacements, and sensitivity

  • 00:24:07 Final options, auto quantization by GPU VRAM, support channels, and closing

Covered in this video: local Ideogram 4 installation, SwarmUI and ComfyUI preset usage, automatic model downloads, JSON prompt creation, bounding box editing, image recreation, safety filter fixes, LoRA realism settings, batch captioning, and VRAM friendly caption generation.

Comments (2)

T
TensorVizion · July 24, 2026

great tutorial thanks for sharing!

S
SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts · July 28, 2026

you are welcome thanks for comment. i was on vacation so just replying