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/graycodeai/starling/ai-image-generationnpx skills add GrayCodeAI/starling --skill ai-image-generationgit clone --depth 1 https://github.com/GrayCodeAI/starlingWhat 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 | $0.00068 | $0.01126 |
| Opus 5 | $0.00034 | $0.00563 |
| Sonnet 5 | $0.00014 | $0.00225 |
| Haiku 4.5 | $0.00007 | $0.00113 |
Grade A, and why
ai-image-generation 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 2d 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
84% identical to ai-image-generation — 22 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Image Generation
Generate images with 50+ AI models via inference.sh CLI.
Quick Start
Requires inference.sh CLI (
infsh). Get installation instructions:npx skills add inference-sh/skills@agent-tools
infsh login
# Generate an image with FLUX
infsh app run falai/flux-dev-lora --input '{"prompt": "a cat astronaut in space"}'
Available Models
| Model | App ID | Best For |
|---|---|---|
| FLUX Dev LoRA | falai/flux-dev-lora |
High quality with custom styles |
| FLUX.2 Klein LoRA | falai/flux-2-klein-lora |
Fast with LoRA support (4B/9B) |
| Gemini 3 Pro | google/gemini-3-pro-image-preview |
Google's latest |
| Gemini 2.5 Flash | google/gemini-2-5-flash-image |
Fast Google model |
| Grok Imagine | xai/grok-imagine-image |
xAI's model, multiple aspects |
| Seedream 4.5 | bytedance/seedream-4-5 |
2K-4K cinematic quality |
| Seedream 4.0 | bytedance/seedream-4-0 |
High quality 2K-4K |
| Seedream 3.0 | bytedance/seedream-3-0-t2i |
Accurate text rendering |
| Reve | falai/reve |
Natural language editing, text rendering |
| ImagineArt 1.5 Pro | falai/imagine-art-1-5-pro-preview |
Ultra-high-fidelity 4K |
| Topaz Upscaler | falai/topaz-image-upscaler |
Professional upscaling |
Browse All Image Apps
infsh app list --category image
Examples
Text-to-Image with FLUX
infsh app run falai/flux-dev-lora --input '{
"prompt": "professional product photo of a coffee mug, studio lighting"
}'
Fast Generation with FLUX Klein
infsh app run falai/flux-2-klein-lora --input '{"prompt": "sunset over mountains"}'
Google Gemini 3 Pro
infsh app run google/gemini-3-pro-image-preview --input '{
"prompt": "photorealistic landscape with mountains and lake"
}'
Grok Imagine
infsh app run xai/grok-imagine-image --input '{
"prompt": "cyberpunk city at night",
"aspect_ratio": "16:9"
}'
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.
- 2d ago First seen · 141 lines · 68 tokens per session scan A 47bcf3a98513
ai-image-generation is a skill published in the GitHub repository GrayCodeAI/starling (2 stars, last pushed 2d ago), licensed MIT. It adds 68 tokens to every session and 1,126 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to ai-image-generation, differing in 22 lines, and is treated as a copy.
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