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/sammcj/agentic-coding/invokeai-image-gennpx skills add sammcj/agentic-coding --skill invokeai-image-gengit clone --depth 1 https://github.com/sammcj/agentic-codingWrote 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/sammcj/agentic-coding/invokeai-image-gen)<a href="https://agentmods.dev/skills/sammcj/agentic-coding/invokeai-image-gen"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/invokeai-image-gen.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 | $0.00069 | $0.01354 |
| Opus 5 | $0.00034 | $0.00677 |
| Sonnet 5 | $0.00014 | $0.00271 |
| Haiku 4.5 | $0.00007 | $0.00135 |
Grade A, and why
invokeai-image-gen 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
InvokeAI Image Generation
Generate images via InvokeAI's REST API. Supports FLUX.2 Klein (default), Z-Image Turbo, FLUX.1, and SDXL.
Quick Start
Simply call the script with your prompt and the output file name:
python scripts/generate.py -p "A dramatic sunset over snow-capped mountains, warm orange light reflecting off a still alpine lake in the foreground. Soft clouds catch the fading light." -o sunset.png
Overriding The Default Model
If the user asks you to use a specific model, first find the model key, then use it in the command:
python scripts/generate.py --list-models | grep -i 'flux'
python scripts/generate.py -p "A tabby cat with bright green eyes sits on a weathered wooden windowsill, soft afternoon light streaming through lace curtains. Cosy, intimate mood." --model MODEL_KEY -o cat.png
Options
| Option | Description |
|---|---|
--prompt, -p |
Generation prompt (required) |
--negative, -n |
Negative prompt (SDXL only) |
--model, -m |
Model key (UUID) or partial name match |
--width, -W / --height, -H |
Dimensions |
--steps, -s |
Denoising steps |
--cfg, -c |
CFG scale |
--guidance, -g |
Guidance strength (FLUX.1 only) |
--scheduler |
Sampling scheduler |
--seed |
Random seed |
--output, -o |
Output path (default: invokeai-{seed}.png) |
--list-models |
List installed models |
--json |
JSON output |
Model Defaults
Note: FLUX.2 Klein is the latest model which is used by default.
| Model | Steps | Guidance | CFG | Scheduler |
|---|---|---|---|---|
| FLUX.2 Klein | 4 | 3.5 | 1.0 | euler |
| Z-Image Turbo | 9 | - | 1.0 | euler |
| FLUX.1 dev | 28 | 3.5 | 1.0 | euler |
| FLUX.1 Krea dev | 28 | 4.5 | 1.0 | euler |
| FLUX.1 Kontext dev | 28 | 2.5 | 1.0 | euler |
| FLUX.1 schnell | 4 | 0.0 | 1.0 | euler |
| SDXL | 25 | - | 6.0 | dpmpp_2m_k |
| SDXL Turbo | 8 | - | 1.0 | dpmpp_sde |
All models default to 1024x1024. FLUX requires dimensions divisible by 16, SDXL by 8.
What ships with it
1 file 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.
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.
- yesterday First seen · 126 lines · 69 tokens per session scan A 394a47b1e49c
invokeai-image-gen is a skill published in the GitHub repository sammcj/agentic-coding (159 stars, last pushed yesterday), licensed Apache-2.0. It adds 69 tokens to every session and 1,354 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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