Creates clean, layout-aware text visuals with total design control.

Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning - you still choose inputs, prompts, and settings.

Open preloaded workflow on RunComfy

Open preloaded workflow on RunComfy (browser)

Why RunComfy first
- Fewer missing-node surprises - run the graph in a managed environment before you mirror it locally.
- Quick GPU tryout - useful if your local VRAM or install time is the bottleneck.
- Matches the published JSON - the zip follows the same runnable workflow you can open on RunComfy.

When downloading for local ComfyUI makes sense - you want full control over models on disk, batch scripting, or offline runs.

How to use (local ComfyUI)
1. Load inputs (images/video/audio) in the marked loader nodes.
2. Set prompts, resolution, and seeds; start with a short test run.
3. Export from the Save / Write nodes shown in the graph.

Expectations - First run may pull large weights; cloud runs may require a free RunComfy account.

Overview

This powerful template allows you to generate clear, layout-aware images with embedded text directly from structured prompts. It supports JSON-based scene definitions, color palette control, and organized visual composition tools. Ideal for designers who create posters, branded layouts, and typography-rich visuals. Built for creative consistency, it helps you maintain control over every design element. Achieve structured text graphics with greater precision and design freedom using this visually intelligent tool.

Important nodes:

Key nodes in Comfyui Ideogram 4 ComfyUI workflow

• CLIP Text Encode (Positive Prompt) (#24)

• Encodes the prompt with Qwen3‑VL for Ideogram 4. Use structured JSON for layout control, explicit in‑image text, and palette steering. Keep key order stable and use [y_min, x_min, y_max, x_max] with values on a 0–1000 grid for bbox entries; this matches the model’s documented schema in docs/prompting.md.

• UNETLoader (#23)

• Loads the main Ideogram 4 checkpoint that performs conditional denoising. This is the backbone that translates your encoded caption into images; leave it as the official release for the most consistent results: ideogram-ai/ideogram-4-fp8.

• UNETLoader (#154)

• Loads the unconditional Ideogram 4 checkpoint used for asymmetric classifier‑free guidance. Pairing this with the main model lets the guider control prompt adherence and overall image quality separately: Comfy-Org/Ideogram-4.

• DualModelGuider (#155)

• Combines conditional and unconditional predictions to implement asymmetric classifier‑free guidance. Adjust the guidance strength only if you understand the trade‑off: too little weakens prompt fidelity; too much can oversharpen or distort. When changing presets, revisit guidance to maintain a similar “feel.”

• Ideogram4Scheduler (#17)

• Produces the noise schedule and step count specialized for Ideogram 4 at your chosen width and height. The “Preset” group feeds it the matching steps and schedule parameters; use Quality for final renders, Turbo for drafts, and Default for everyday work.

• SamplerCustomAdvanced (#12)

• Runs the denoising pass using the selected sampler and the scheduler’s sigmas. Leave this unchanged unless you are intentionally comparing sampler families; if you do swap samplers, keep resolution and preset fixed to make A/Bs meaningful.

…

Notes

Ideogram 4 ComfyUI workflow | Structured Text-to-Image Generator - see RunComfy page for the latest node requirements.