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 skills add happycapy-ai/Happycapy-skills --skill ai-image-generationgit clone --depth 1 https://github.com/happycapy-ai/Happycapy-skillsWrote 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/happycapy-ai/happycapy-skills/ai-image-generation)<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/ai-image-generation"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/ai-image-generation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/ai-image-generation"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/ai-image-generation.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00182 | $0.01180 |
| Opus 5 | $0.00091 | $0.00590 |
| Sonnet 5 | $0.00036 | $0.00236 |
| Haiku 4.5 | $0.00018 | $0.00118 |
Grade C, and why
ai-image-generation scanned grade C with 2 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 12d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://cli.inference.sh | sh && infsh login Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://cli.inference.sh | sh && infsh login Copies of this mod
2 near-identical copies found in the catalogue:
- ai-image-generation — 91% identical, 19 lines differ
- ai-image-generation — 84% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 143 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
# Install CLI
curl -fsSL https://cli.inference.sh | sh && 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"
}'
Reve (with Text Rendering)
infsh app run falai/reve --input '{
"prompt": "A poster that says HELLO WORLD in bold letters"
}'
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.
- 12d ago First seen · 143 lines · 182 tokens per session scan C dcf1cbdd57dd
ai-image-generation is a skill published in the GitHub repository happycapy-ai/Happycapy-skills (139 stars, last pushed 9d ago), licensed MIT. It adds 182 tokens to every session and 1,180 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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