Ideogram 4 runs locally in ComfyUI on RTX 4090 and Strix Halo

• Official ComfyUI day-0 support framed Ideogram 4 as a 9.3B open-weights text-to-image model with native ComfyUI support, while Luzifee-666's RTX 4090 test showed it already running locally with a shared workflow.
• Local compatibility widened fast: cleverestx's Strix Halo datapoint said Ideogram 4 also runs through ComfyUI on gfx1151 hardware, not just high end Nvidia cards.
• The model's big creative hook is its structured JSON prompt format, which the official prompting guide says improves controllability for layout, style fidelity, bounding boxes, and color palettes.
• A companion tool update from DsDman's editor post added PNG metadata import, photo and art_style switching, and image sizes up to 4096, turning generated images back into editable layout specs.

You can read ComfyUI's launch post, inspect Ideogram's prompting guide, and even open a browser editor that rebuilds boxes and parameters from PNG metadata. Meanwhile, CharaspowerAI's reaction post captures the first-day mood, but the more useful signal is that people were already swapping local workflows instead of just posting generations.

Official ComfyUI support landed on June 3 with a workflow template and native handling for Ideogram 4's JSON prompts. Within a day, the evidence pool had two separate local reports on different hardware.

Luzifee-666's RTX 4090 test included three locally generated images and said the workflow file was packed into the shared ComfyUI picture. cleverestx's Strix Halo datapoint is thinner, but it matters because it points to Ideogram 4 working through ComfyUI on AMD's Strix Halo graphics stack too.

The editor update in DsDman's editor post adds three concrete workflow pieces:

• PNG metadata import, so a Comfy-generated image can reload its JSON prompt, boxes, and parameters.
• Mode switching between photo and art_style, matching the two prompt structures documented in the official guide.
• Larger canvas ranges up to 4096 pixels.

The live browser tool exposes width, height, bounding-box drawing, per-box text and description fields, global and per-box color palettes, and a Comfy API field for sending generations back out.

Ideogram's Hugging Face release says Ideogram 4 is the company's first open-weight model, trained from scratch, with multilingual text rendering, bounding-box layout control, color-palette control, and native 2K output. The same release notes that plain prompts can be rewritten into structured JSON by a hosted "magic prompt" service.

According to the official prompting guide, the model was trained on structured JSON captions with three top-level fields:

1. high_level_description
2. style_description
3. elements

That schema is why the ComfyUI posts feel more like layout tooling than ordinary image prompting. The local workflow is not only generating pictures, it is preserving editable scene structure.