upscale-image-workflow

upscale-image-workflow is a skill for Claude Code, Codex from devkindhq/ideogram-ai-toolkit. It costs 176 tokens per session (1,664 once invoked), scanned A, original, Apache-2.0.

A workflow for increasing the resolution of one Ideogram-generated or uploaded image using an image-upscaling tool. It first identifies exactly one source image and then sends the upscale request.

In plain words
What is it for?
Use it when you need a higher-resolution version of one image from the current session, an Ideogram collection, or a local upload. It supports one image per invocation.
Why use it?
It addresses images that are too small or low-resolution for their intended use. The workflow also avoids ambiguity about which image should be processed.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/devkindhq/ideogram-ai-toolkit/upscale-image-workflow
Any agent
npx skills add devkindhq/ideogram-ai-toolkit --skill upscale-image-workflow
Clone the repo
git clone --depth 1 https://github.com/devkindhq/ideogram-ai-toolkit

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for upscale-image-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/upscale-image-workflow.svg)](https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/upscale-image-workflow)
Your own site
<a href="https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/upscale-image-workflow"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/upscale-image-workflow.svg" alt="Measured on agentmods" height="20"></a>
Per session 176 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,664 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00176 $0.01664
Opus 5 $0.00088 $0.00832
Sonnet 5 $0.00035 $0.00333
Haiku 4.5 $0.00018 $0.00166

Measured 3d ago against content hash 5bce165438d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

upscale-image-workflow scanned grade A with 1 finding 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 3d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`upload_image`'s own description, run its returned `instructions` curl command in the
skills/upscale-image-workflow/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Upscale Image Workflow

Ideogram exposes one tool for raising an image's resolution: upscale_image. This skill orchestrates a single call to that tool — resolve which image, confirm the settings, run it, save the output's identifiers. It takes exactly one call per invocation: no multi-step pipeline, no multi-tool surface. It's the thinnest skill in the repo.

This is an orchestration workflow around one MCP call, not a prompt-composition skill — there's no composition-spec-format.md/panel-anatomy.md-style reference here.

Before you start

Read references/upscale-settings.md before running step 1 or step 2 of the workflow below. It covers the identifier-resolution rule (upscale_image requires exactly one of image_response_id or image_upload_id — never both, never neither) and the settings guide for every optional parameter.

Workflow

1. Resolve the target image

Determine exactly one identifier to pass. Either:

  • image_response_id — from this session's generate_image/remix_image/edit_image/ reframe_image/remove_background calls' structured_content.response_ids, from get_recent_generations's per-item response_id, or from get_images_by_collection_id's per-asset response_id/image_id.
  • image_upload_id — from upload_image, for a local file the user points to that hasn't been uploaded yet. Call upload_image first rather than inventing an ID: per upload_image's own description, run its returned instructions curl command in the sandbox and read the real id back from the curl response.

If more than one candidate image is plausibly "that image" (e.g. several renders made earlier this session with nothing distinguishing which one the user means), ask which one — don't guess. Never pass both identifiers or neither. See references/upscale-settings.md for the full identifier-resolution rule.

2. Confirm settings

State the resolved settings before calling:

  • upscale_factor — the user's stated value if given (that counts as confirmed, no need to re-ask), or the tool's own X2 default, stated plainly rather than blocked on a confirmation question.
  • upscale_details_weight — only set if the user asked for more/less added detail; otherwise omit for the backend default.
  • prompt — only set if the user wants to steer what detail gets added; otherwise omit — the backend auto-describes the image when none is supplied, per the tool's own description.
  • collection_id — only if the user asked to save directly into an existing collection. If so, follow collections-management's find-or-create pattern from collection-patterns.md to resolve which collection_id to pass, rather than inventing one.
  • private — omit unless the user explicitly asks to publish to the public Ideogram feed. Per the tool's own description, paid accounts default to private and free/Basic accounts default to public, and enterprise generations are always private regardless — state that as the only asserted fact about the default, since it's the tool's own documented behavior.

Read the full file on GitHub · 123 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 3d ago First seen · 123 lines · 176 tokens per session scan A 5bce165438d7

Subscribe to this mod's changes

upscale-image-workflow is a skill published in the GitHub repository devkindhq/ideogram-ai-toolkit (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 176 tokens to every session and 1,664 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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