Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/sandyup/comfyui-mcp/ideogram-ultranpx skills add sandyup/comfyui-mcp --skill ideogram-ultragit clone --depth 1 https://github.com/sandyup/comfyui-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sandyup/comfyui-mcp/ideogram-ultra)<a href="https://agentmods.dev/skills/sandyup/comfyui-mcp/ideogram-ultra"><img src="https://agentmods.dev/badge/skills/sandyup/comfyui-mcp/ideogram-ultra.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00067 | $0.06063 |
| Opus 5 | $0.00034 | $0.03031 |
| Sonnet 5 | $0.00013 | $0.01213 |
| Haiku 4.5 | $0.00007 | $0.00606 |
Grade A, and why
ideogram-ultra scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
91% identical to ideogram-ultra — 66 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ideogram 4 (Ideogram Ultra) Workflows
Overview
This is a LOCAL open-weights pipeline — NOT the hosted Ideogram API. There is no API key, no IdeogramGenerate API node, and no network call at generation time. Comfy-Org released the Ideogram 4 weights on Hugging Face and they run entirely on your GPU via standard UNETLoader / CLIPLoader / VAELoader nodes. (Note: ComfyUI also ships separate API/"partner" nodes that call the paid hosted Ideogram service — that is a different thing and is not what this workflow uses.)
Ideogram 4 is best known for text rendering / typography, poster and graphic-design layouts, and prompt adherence. The hallmark of this workflow is a structured JSON prompt (a "compositional deconstruction" caption with bounding boxes) instead of a plain text prompt — this is what gives precise control over where text and objects land in the frame.
Source workflow this skill is derived from: IDEOGRAM_ULTRA_WORKFLOW-V2.json (UI format, 66 nodes, 4 subgraphs), by Aitrepreneur. It provides both a TEXT TO IMAGE path and an IMAGE TO IMAGE path.
Two unusual things to know up front
- Dual models. Two UNETs are loaded: a conditional model (
ideogram4_fp8_scaled) and an..._unconditional_fp8_scaledmodel. ADualModelGuidernode uses both to perform asymmetric classifier-free guidance — the unconditional model provides the CFG baseline. There is no negative text prompt; negative conditioning isConditioningZeroOut. - Two text models, different jobs.
qwen3vl_8b_fp8_scaledis the actual diffusion text encoder (loaded withCLIPLoader, typeideogram4).gemma4_e4b_it_fp8_scaledis used only inside an optional prompt-builder subgraph (aTextGeneratenode) that auto-writes the structured JSON from a plain idea. It is not the diffusion encoder.
Installation
Custom nodes
The workflow needs these four custom node packs (clone into ComfyUI/custom_nodes/). Exact repos from the installer scripts:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 355 lines · 67 tokens per session scan A 54218add8098
ideogram-ultra is a skill published in the GitHub repository sandyup/comfyui-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 6,063 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to ideogram-ultra, differing in 66 lines, and is treated as a copy.
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