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Generate images via 9Router /v1/images/generations using OpenAI / Gemini Imagen / DALL-E / FLUX / MiniMax / SDWebUI / ComfyUI / Codex models. Use when the user wants to create, generate, draw, or render an image, picture, or text-to-image (txt2img).
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | 9router-image |
| description | Generate images via 9Router /v1/images/generations using OpenAI / Gemini Imagen / DALL-E / FLUX / MiniMax / SDWebUI / ComfyUI / Codex models. Use when the user wants to create, generate, draw, or render an image, picture, or text-to-image (txt2img). |
Requires NINEROUTER_URL (and NINEROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/decolua/9router/refs/heads/master/skills/9router/SKILL.md for setup.
curl $NINEROUTER_URL/v1/models/image | jq '.data[].id'
# Per-model params/options (size enum, quality enum, capabilities like edit)
curl "$NINEROUTER_URL/v1/models/info?id=openai/dall-e-3"
POST $NINEROUTER_URL/v1/images/generations
| Field | Required | Notes |
|---|---|---|
model | yes | from /v1/models/image |
prompt | yes | image description |
n | no | count (provider-dependent) |
size | no | 1024x1024, 1792x1024, ... |
quality | no | standard / hd (OpenAI) |
response_format | no | url (default) or b64_json |
Add query ?response_format=binary to receive raw image bytes (handy for saving file).
Save to file (binary):
curl -X POST "$NINEROUTER_URL/v1/images/generations?response_format=binary" \
-H "Authorization: Bearer $NINEROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gemini/gemini-3-pro-image-preview","prompt":"watercolor mountains at sunrise","size":"1024x1024"}' \
--output out.png
JS (URL response):
const r = await fetch(`${process.env.NINEROUTER_URL}/v1/images/generations`, {
method: "POST",
headers: { "Authorization": `Bearer ${process.env.NINEROUTER_KEY}`, "Content-Type": "application/json" },
body: JSON.stringify({ model: "gemini/gemini-3-pro-image-preview", prompt: "neon city", size: "1024x1024" }),
});
const { data } = await r.json();
console.log(data[0].url || data[0].b64_json.slice(0, 40));
JSON (default response_format=url):
{ "created": 1735000000, "data": [{ "url": "https://..." }] }
response_format=b64_json:
{ "created": 1735000000, "data": [{ "b64_json": "iVBORw0KGgo..." }] }
Query ?response_format=binary returns raw image bytes (Content-Type image/png or image/jpeg).
Common fields above work everywhere. These add/override:
| Provider | Extra/changed fields | Notes |
|---|---|---|
openai, minimax, openrouter, recraft | quality, style, response_format | Standard OpenAI shape |
gemini (nano-banana) | — | Only prompt; ignores size/n |
codex (gpt-5.4-image) | image, images[], image_detail, output_format, background | SSE stream; ChatGPT Plus/Pro required |
huggingface | — | Only prompt; returns single image |
nanobanana | image, images[] (edit mode) | size → aspect ratio; async polling |
fal-ai | image (img2img) | n → num_images; size → ratio; async |
stability-ai | style (preset), output_format | size → aspect_ratio |
black-forest-labs (FLUX) | image (ref) | size → exact width/height; async |
runwayml | image (ref) | size → ratio; async; video models exist |
sdwebui, comfyui | — | Localhost noAuth (:7860 / :8188) |
Fetch URL → markdown / text / HTML via 9Router /v1/web/fetch using Firecrawl / Jina Reader / Tavily Extract / Exa Contents. Use when the user wants to scrape a webpage, extract URL content, read article, or convert a URL to markdown.
Web search via 9Router /v1/search using Tavily / Exa / Brave / Serper / SearXNG / Google PSE / Linkup / SearchAPI / You.com / Perplexity. Use when the user wants to search the web, look up information, find articles, or query a search engine.
Chat / code generation via 9Router using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos. Use when the user wants to ask an LLM, generate code, summarize text, or run prompts through 9Router.
Generate vector embeddings via 9Router /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia / GitHub embedding models for RAG, semantic search, similarity. Use when the user wants embeddings, vectors, RAG, semantic search, or to embed text.
Speech-to-text via 9Router /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI / NVIDIA / HuggingFace models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.
Text-to-speech via 9Router /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Hyperbolic / Inworld voices. Use when the user wants to convert text to speech, generate audio, voiceover, narrate, or read text aloud.