image-gen-9router: Design & UI for AI Agents | OpenAgentSkill

Overview

Generate images via 9Router. FLUX, Imagen, DALL-E, SD.

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Image Generation via 9Router

9Router is a local OpenAI-compatible gateway that exposes image generation through /v1/images/generations. The same service handles LLM routing (it's the AGY model Hermes uses) and image gen. Image gen is genuinely free via the Cloudflare provider.

When to use this skill

User wants to generate an image from a text prompt
User wants AI art for an Instagram post / story / reel
User wants to compare multiple image models (FLUX vs DALL-E vs Imagen)
User has a working 9Router setup (NINEROUTER_URL + NINEROUTER_KEY in env)

9Router is the same service as AGY

Discovery: cat ~/.hermes/config.yaml shows

model:
  base_url: http://localhost:20128/v1

That localhost:20128 is 9Router. Image gen and LLM chat go through the same gateway, but with different endpoints and different model IDs. The key (NINEROUTER_KEY) is shared.

Endpoints

Endpoint	Purpose
`GET /v1/models/image`	List available image models (with `owned_by` provider)
`GET /v1/models/info?id=<model_id>`	Per-model params, capabilities, size enum
`POST /v1/images/generations`	Generate image(s)
`POST /v1/images/generations?response_format=binary`	Generate and return raw bytes

Auth: Authorization: Bearer $NINEROUTER_KEY (required even for local 9Router).

Discover available models

curl -s $NINEROUTER_URL/v1/models/image \
  -H "Authorization: Bearer $NINEROUTER_KEY" | jq '.data[].id'

Common models:

cf/@cf/black-forest-labs/flux-2-klein-4b — small, fast, free (Cloudflare)
cf/@cf/black-forest-labs/flux-2-klein-9b — larger, more detail (Cloudflare)
cf/@cf/black-forest-labs/flux-2-dev — development build (Cloudflare)
gemini/gemini-3-pro-image-preview — Google's Imagen 3
openai/dall-e-3 — OpenAI DALL-E 3
cf/@cf/leonardo/phoenix-1.0 — Leonardo Phoenix via Cloudflare

Generate an image (Python)

import httpx, os

resp = httpx.post(
    f"{os.environ['NINEROUTER_URL']}/v1/images/generations?response_format=binary",
    headers={"Authorization": f"Bearer {os.environ['NINEROUTER_KEY']}"},
    json={"model": "cf/@cf/black-forest-labs/flux-2-klein-4b",
          "prompt": "your prompt here",
          "size": "1024x1024"},
    timeout=120,
)
resp.raise_for_status()
open("/tmp/out.png", "wb").write(resp.content)

Or use the template:

python3 templates/generate_image.py "your prompt" -o /tmp/out.png
python3 templates/generate_image.py "your prompt" --post --caption "IG caption"

Response formats

Query / Field	Returns
default (URL response)	JSON with `data[0].url` to a hosted image
`?response_format=binary`	raw image bytes
`response_format: b64_json` in body	JSON with `data[0].b64_json` base64 string

For posting to social media, use binary and save to disk, then upload to your CDN.

Pitfalls

Always set Authorization header even though 9Router is local. Without it, returns 401 Invalid API key. The env var name is NINEROUTER_KEY, value typically sk-... 35 chars.
Some providers ignore size and n. gemini (nano-banana) and huggingface providers only respect prompt; they return one image at their own size.
codex (gpt-5.4-image) requires ChatGPT Plus/Pro and uses SSE streaming. Not for batch use. Zernio will return 400.
FLUX.2 Klein 4B is small but free — quality is good for stylized art, weaker for photorealistic faces. Use 9B for higher fidelity.
Image content from Cloudflare is moderated. NSFW prompts return 400 with moderation error. Don't try to bypass.
timeout=120 — first call can take 30-60s for cold model load. Set generous timeout.

Available templates

templates/generate_image.py — CLI: generate + optional IG post via Zernio. Uses FLUX.2 Klein 4B by default. Supports --list to dump available models.

Reference docs

references/upstream-skill.md — full upstream decolua/9router SKILL.md for /v1/images/generations
references/model-catalog.md — full model list with owned_by and known params

View source ↗

File metadata

name: image-gen-9router
description: Generate images via 9Router. FLUX, Imagen, DALL-E, SD.

View original text

---
name: image-gen-9router
description: Generate images via 9Router. FLUX, Imagen, DALL-E, SD.
---

# Image Generation via 9Router

9Router is a local OpenAI-compatible gateway that exposes image generation
through `/v1/images/generations`. The same service handles LLM routing (it's
the `AGY` model Hermes uses) and image gen. Image gen is genuinely free via
the Cloudflare provider.

## When to use this skill

- User wants to generate an image from a text prompt
- User wants AI art for an Instagram post / story / reel
- User wants to compare multiple image models (FLUX vs DALL-E vs Imagen)
- User has a working 9Router setup (NINEROUTER_URL + NINEROUTER_KEY in env)

## 9Router is the same service as AGY

Discovery: `cat ~/.hermes/config.yaml` shows
```yaml
model:
  base_url: http://localhost:20128/v1
```
That `localhost:20128` is 9Router. Image gen and LLM chat go through the
same gateway, but with different endpoints and different model IDs. The
key (`NINEROUTER_KEY`) is shared.

## Endpoints

| Endpoint | Purpose |
|---|---|
| `GET /v1/models/image` | List available image models (with `owned_by` provider) |
| `GET /v1/models/info?id=<model_id>` | Per-model params, capabilities, size enum |
| `POST /v1/images/generations` | Generate image(s) |
| `POST /v1/images/generations?response_format=binary` | Generate and return raw bytes |

Auth: `Authorization: Bearer $NINEROUTER_KEY` (required even for local 9Router).

## Discover available models

```bash
curl -s $NINEROUTER_URL/v1/models/image \
  -H "Authorization: Bearer $NINEROUTER_KEY" | jq '.data[].id'
```

Common models:
- `cf/@cf/black-forest-labs/flux-2-klein-4b` — small, fast, free (Cloudflare)
- `cf/@cf/black-forest-labs/flux-2-klein-9b` — larger, more detail (Cloudflare)
- `cf/@cf/black-forest-labs/flux-2-dev` — development build (Cloudflare)
- `gemini/gemini-3-pro-image-preview` — Google's Imagen 3
- `openai/dall-e-3` — OpenAI DALL-E 3
- `cf/@cf/leonardo/phoenix-1.0` — Leonardo Phoenix via Cloudflare

## Generate an image (Python)

```python
import httpx, os

resp = httpx.post(
    f"{os.environ['NINEROUTER_URL']}/v1/images/generations?response_format=binary",
    headers={"Authorization": f"Bearer {os.environ['NINEROUTER_KEY']}"},
    json={"model": "cf/@cf/black-forest-labs/flux-2-klein-4b",
          "prompt": "your prompt here",
          "size": "1024x1024"},
    timeout=120,
)
resp.raise_for_status()
open("/tmp/out.png", "wb").write(resp.content)
```

Or use the template:
```bash
python3 templates/generate_image.py "your prompt" -o /tmp/out.png
python3 templates/generate_image.py "your prompt" --post --caption "IG caption"
```

## Response formats

| Query / Field | Returns |
|---|---|
| default (URL response) | JSON with `data[0].url` to a hosted image |
| `?response_format=binary` | raw image bytes |
| `response_format: b64_json` in body | JSON with `data[0].b64_json` base64 string |

For posting to social media, use `binary` and save to disk, then upload to your CDN.

## Pitfalls

- **Always set `Authorization` header** even though 9Router is local. Without it, returns 401 `Invalid API key`. The env var name is `NINEROUTER_KEY`, value typically `sk-...` 35 chars.
- **Some providers ignore `size` and `n`**. `gemini` (nano-banana) and `huggingface` providers only respect `prompt`; they return one image at their own size.
- **`codex` (gpt-5.4-image) requires ChatGPT Plus/Pro** and uses SSE streaming. Not for batch use. Zernio will return 400.
- **FLUX.2 Klein 4B is small but free** — quality is good for stylized art, weaker for photorealistic faces. Use 9B for higher fidelity.
- **Image content from Cloudflare is moderated.** NSFW prompts return 400 with moderation error. Don't try to bypass.
- **`timeout=120`** — first call can take 30-60s for cold model load. Set generous timeout.

## Available templates

- `templates/generate_image.py` — CLI: generate + optional IG post via Zernio. Uses FLUX.2 Klein 4B by default. Supports `--list` to dump available models.

## Reference docs

- `references/upstream-skill.md` — full upstream `decolua/9router` SKILL.md for `/v1/images/generations`
- `references/model-catalog.md` — full model list with `owned_by` and known params

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 20 GitHub stars
Stars/forks activity: 20 stars, 0 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Source & usage notes

IndexedAI Reviewed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: fajrisilmi12-cyber/hermes-socmed-function
License: MIT
Version: Unknown
Last GitHub push: Aug 30, 2026
Registry updated: Sep 15, 2026
Instruction path: skills/image-gen-9router/SKILL.md @ 6bfc952194b8

Version reported in registry metadata; check source releases before relying on it.

Quality

60/100

Promising

Trust

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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Source: fajrisilmi12-cyber/hermes-socmed-function
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Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/fajrisilmi12-cyber-image-gen-9router?metric=listed&label=Listed)](https://www.openagentskill.com/skills/fajrisilmi12-cyber-image-gen-9router?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/fajrisilmi12-cyber-image-gen-9router?metric=trust&label=Trust)](https://www.openagentskill.com/skills/fajrisilmi12-cyber-image-gen-9router?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/fajrisilmi12-cyber-image-gen-9router?metric=audit&label=Audit)](https://www.openagentskill.com/skills/fajrisilmi12-cyber-image-gen-9router/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/fajrisilmi12-cyber-image-gen-9router?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/fajrisilmi12-cyber-image-gen-9router?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Preview badge Open audit Creator kit

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.