Files
llm-router/docs/IMAGES.md
T
Joseph CostaandClaude Opus 4.8 ab0cd4fe85 Support a remote ComfyUI via a .env config file
- run.sh / run.ps1: load an optional .env for host-specific env vars
- .env.example + docs: ComfyUI can run on another host (ROUTER_COMFYUI)
- .gitignore: .env

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-05 03:21:30 -05:00

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# Image generation (ComfyUI)
The router exposes an OpenAI-compatible **`POST /v1/images/generations`** endpoint
backed by a [ComfyUI](https://github.com/comfyanonymous/ComfyUI) server. It submits
a workflow to ComfyUI, polls until it finishes, fetches the images, and returns them
in OpenAI's image-response shape — so any OpenAI image client works.
## Configure
| Env var | Default | Purpose |
|---|---|---|
| `ROUTER_COMFYUI` | `http://127.0.0.1:8188` | ComfyUI server URL |
| `ROUTER_COMFY_CHECKPOINT` | *(unset)* | your checkpoint filename, e.g. `sd_xl_base_1.0.safetensors` |
| `ROUTER_COMFY_WORKFLOW` | `comfyui-workflow.json` | the workflow template (see below) |
Set these in a **`.env`** file (gitignored; copy `.env.example`) — `run.sh` /
`run.ps1` load it on start. **ComfyUI can run on another machine** — just point at
it, e.g. `ROUTER_COMFYUI=http://valhalla:8188`.
At minimum, **set `ROUTER_COMFY_CHECKPOINT`** to a model that exists in your
ComfyUI (`ComfyUI/models/checkpoints/`), or hardcode it into the template's
`ckpt_name`. Then restart the router.
## Use
```bash
curl http://<host>:8080/v1/images/generations -H 'content-type: application/json' -d '{
"prompt": "a red fox in a snowy forest, cinematic lighting",
"n": 1, "size": "1024x1024"
}'
# -> {"created": ..., "data": [{"b64_json": "<png>"}]}
```
- `response_format`: `b64_json` (default) or `url` (returns a `data:` URL).
- Extra (non-OpenAI) knobs the router honors: `negative_prompt`, `steps`.
- Works with the OpenAI SDK: `images.generate(prompt=..., size=..., n=...)`.
## The workflow template
`comfyui-workflow.json` is a ComfyUI **API-format** workflow with string sentinels
the router substitutes per request:
| Sentinel | Filled with |
|---|---|
| `{{PROMPT}}` | the request prompt |
| `{{NEGATIVE}}` | `negative_prompt` |
| `{{WIDTH}}` / `{{HEIGHT}}` | parsed from `size` |
| `{{BATCH}}` | `n` |
| `{{SEED}}` | a fresh seed |
| `{{STEPS}}` | `steps` (default 25) |
| `{{CHECKPOINT}}` | `ROUTER_COMFY_CHECKPOINT` |
The default is a standard SD/SDXL text-to-image graph. **To use your own** (Flux,
a fancier pipeline, LoRAs, upscalers, etc.): build it in ComfyUI, export via
**Save (API Format)**, then replace the values you want driven by requests with the
sentinels above. Point `ROUTER_COMFY_WORKFLOW` at your file. Anything without a
sentinel stays fixed.
## Notes
- **Not yet verified end-to-end** — it was written before ComfyUI was installed.
Once your ComfyUI is up (`ROUTER_COMFYUI` reachable, checkpoint set), test with
the curl above; if a node name/shape differs, adjust the template.
- Generation can take a while; the router polls up to ~10 min per request.
- Video: ComfyUI video workflows (AnimateDiff, SVD, etc.) also export to API format
and return frames/files — the same endpoint can drive them, but the response
mapping for multi-frame/video output may need a tweak. Ask when you get there.