npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

comfy-agent

v0.0.5

Published

Comfy Agent is a tool to use ComfyUI from the CLI. It is suitable for both direct CLI usage and AI-agent-driven automation.

Readme

Comfy Agent

Logo

npm version CI

Comfy Agent is a CLI for GPU-less individual creators to delegate image, video, and music generation to AI agents across any ComfyUI server—Google Colab, RunPod, or a home GPU.

Japanese documentation: README.ja.md

QuickStart (3 lines)

npm install -g comfy-agent
comfy-agent connect http://127.0.0.1:8188            # or a Colab tunnel URL: https://<id>.trycloudflare.com
comfy-agent run default --source remote --prompt "a cat riding a bicycle"

connect verifies the server once and remembers the URL (re-run it when a Colab tunnel changes — presets and outputs stay local). run submits the workflow, waits, and saves files under ./.comfy-agent/outputs/<preset>/<timestamp>/. default is any workflow saved in the ComfyUI UI; to run your own JSON, comfy-agent import <file> --name <preset>.

No GPU? Jump to Run on Google Colab. Driving this from an AI agent? See For AI agents.

Why comfy-agent

  • Verified environment catalog — 36 kits expose GPU, download size, setup time, license, and E2E evidence as machine-readable data.
  • Artifacts and instructions stay local — presets, outputs, recipes, and jobs survive server resets; connect absorbs volatile URLs.
  • Facts and policy stay separate — the CLI returns a structured error contract, while the playbook defines agent-independent recovery policy.
  • Production recipes and verification — reusable recipes combine generation with verify and evidence-based artifact review.

For AI agents (Claude Code, Codex, Cursor, Gemini CLI, OpenClaw)

Install the bundled skill for your agent and read the live policy:

comfy-agent skill install --agent claude
comfy-agent skill install --agent codex
comfy-agent playbook

Other supported targets are cursor, gemini, and openclaw; use comfy-agent skill list to see bundled skills. Repository agents should also follow AGENTS.md. Prefer --json, branch on structured error codes, and use only exit codes 0, 2, and 3; the CLI reference is canonical.

For a reusable character, start every generation with brief <name> --preset <preset> --json. Use run <preset> --character <name> to inject its canonical prompt/reference/LoRA data. Keep only human-approved outputs in its gallery; record rejects and kit notes for the next session.

Run on Google Colab

No local GPU? The bundled kits run ComfyUI on a Colab GPU and expose it to the local CLI through a cloudflared tunnel. Start with this five-step flow:

comfy-agent colab kit z_image      # prints installed paths: 01_setup.py / 02_start_comfyui.py / workflows
# paste setup + launcher into Colab, copy the tunnel URL
comfy-agent connect https://<id>.trycloudflare.com
comfy-agent import <workflow path printed above> --name z_image_turbo
comfy-agent run z_image_turbo --prompt "a cat riding a bicycle"

| Media | Kit / model | Status | Minimum GPU | Capability | | ----- | -------------------------------------------------------------------------- | -------- | ----------- | ----------------------------------------------------- | | Image | z_image/ | Verified | T4 | Z-Image Turbo text-to-image | | Image | sdxl/ | Verified | T4 | Stable Diffusion XL Base text-to-image | | Image | sdxl_turbo/ | Verified | T4 | SDXL Turbo one-step text-to-image | | Image | anima/ | Verified | T4 | Anima Base v1.0 anime text-to-image | | Image | ooo_anima/ | Verified | T4 | OOO_Anima v10 anime text-to-image | | Image | anima_pencil/ | Verified | T4 | anima_pencil v2 anime text-to-image | | Image | z_anime/ | Partial | T4 | Z-Anime base / distilled text-to-image | | Image | qwen_image/ | Starter | L4 | Qwen-Image text-to-image | | Image | qwen_image_edit/ | Starter | L4 | Qwen-Image-Edit instruction-based editing | | Image | boogu/ | Verified | L4 | Boogu-Image Turbo text-to-image | | Image | krea2/ | Verified | L4 | Krea 2 Turbo text-to-image | | Image | flux1/ | Verified | L4 | Flux 1 dev text-to-image | | Image | flux2/ | Verified | A100 | Flux 2 dev text-to-image | | Image | hidream_i1/ | Verified | L4 | HiDream-I1 Fast / Dev / Full text-to-image | | Image | hidream_o1/ | Verified | A100 | HiDream-O1 Dev reasoning-oriented 2K text-to-image | | Image | ideogram4/ | Verified | L4 | Ideogram 4.0 text-to-image with strong text rendering | | Image | sd35/ | Verified | L4 | Stable Diffusion 3.5 Large text-to-image | | Image | birefnet/ | Verified | T4 | BiRefNet background removal / transparent PNG | | Image | seedvr2/ | Verified | L4 | SeedVR2 image upscaling and restoration | | Video | wan21/ | Partial | T4 | Wan 2.1 1.3B / 14B text-to-video | | Video | wan22/ | Partial | A100 | Wan 2.2 TI2V 5B / T2V 14B | | Video | wan22_s2v/ | Verified | A100 | Wan 2.2 S2V reference-image + audio-to-video | | Video | animegen_t2v/ | Verified | A100 | AnimeGen-T2V anime text-to-video | | Video | hunyuan_video/ | Verified | L4 | Hunyuan Video text-to-video | | Video | ltx23/ | Starter | A100 | LTX-2.3 image / image+audio-to-video | | Video | ltx23_t2v/ | Verified | A100 | LTX-2.3 text-to-video with generated audio | | Video | ltx25/ | Verified | A100 | LTX-2.5 T2V / I2V / first-last-frame video with audio | | Video | minimax_h3/ | Verified | A100 | MiniMax H3 T2V / I2V with native stereo audio | | Video | sulphur2/ | Verified | A100 | Sulphur-2 T2V / I2V | | Video | 10eros/ | Partial | A100 | 10Eros T2V / I2V | | Audio | ace_step_1_5/ | Partial | T4 | ACE-Step 1.5 full songs with lyrics and vocals | | Audio | minimax_music3/ | Verified | L4 | MiniMax Music 3 songs with lyrics and vocals | | Audio | stable_audio3_small_music/ | Partial | T4 | Stable Audio 3 Small Music instrumental / BGM | | Audio | stable_audio3/ | Verified | L4 | Stable Audio 3 Medium music and sound effects | | Audio | moss_soundeffect_v2/ | Verified | A100 | MOSS-SoundEffect v2 48 kHz sound effects | | Combo | music_video/ | Verified | A100 | Song + keyframes + video clips music-video recipe |

Statuses are evidence levels, not model quality: Verified passed the complete Colab-to-local flow, Partial passed only some GPUs or workflow variants, and Starter is statically validated but awaits recorded E2E verification. Review each kit README for gated, non-commercial, territory, acceptable-use, and paid-GPU cautions.

Use the catalog before choosing a runtime:

comfy-agent colab catalog --json
comfy-agent colab suggest "fast image generation on a T4" --json
comfy-agent colab kit z_image --json

Presets and outputs survive Colab resets. Rerun the two printed scripts, then connect the new tunnel URL; do not re-import the preset. Full setup and license notes are in the Colab kit guide.

Install & requirements

  • Node.js 22 or newer.
  • A reachable ComfyUI server for connection and generation commands.
npm install -g comfy-agent
comfy-agent --help

Contributors can use npm install, npm run build, and npm run dev -- <command>. On Windows, use PowerShell and quote file paths containing spaces.

The npm package includes the playbooks, skills, recipes, catalog, setup scripts, and workflow JSON used by the commands above. No repository checkout is required to read or install those bundled resources.

Commands at a glance

| Command | Purpose | | -------------- | ---------------------------------------------------------------------- | | init | Create a local or global work directory. | | connect | Verify and remember a ComfyUI URL. | | import | Turn API/UI workflow JSON into a local preset. | | run | Preflight, submit, wait/download, or submit with --async. | | history | Search and annotate creative generation history. | | character | Manage reusable identity, references, LoRAs, notes, and approved work. | | character sheet | Build an identity board from human-approved gallery outputs. | | brief | Load character memory and preset applicability before generation. | | jobs list\|show\|wait\|prune | Inspect and resume persisted jobs. | | doctor | Check connection, workdirs, nodes, and models. | | list | Discover local and remote workflows. | | preset | Show parameters, aliases, uploads, and metadata. | | status | Show resolved runtime configuration. | | verify | Probe outputs and create review aids offline. | | analyze | Evaluate an image with OpenAI image input. | | colab catalog\|suggest\|kit | Inspect and resolve bundled Colab kits. | | playbook | Read bundled agent policy documents. | | skill list\|install | Install bundled skills for supported agents. |

See the complete CLI reference for every option and payload.

Outputs & work directory

connect or init creates .comfy-agent/ with workflows/, presets/, outputs/, jobs/, and cache/; the remembered URL is in config.yaml. Use --global for ~/.config/.comfy-agent. Generated files default to .comfy-agent/outputs/<preset>/<timestamp>/, alongside run.json; verify writes review aids below <run-dir>/verify/.

Exit codes & JSON

The CLI returns only 0 (success), 2 (invalid invocation/input/local environment), or 3 (server/executed target/artifact state differs from expectations). With --json, success is { "ok": true, ... } and failure is { "ok": false, "error": { "code": "...", "message": "...", "details": ... } }. run --dry-run --json prints raw workflow JSON when no character option is present; with --character, it returns an envelope containing the patched workflow and character injection metadata. PROMPT_REJECTED (exit 3) means ComfyUI rejected the submitted workflow; inspect details.error and details.node_errors, correct the reported node inputs, and rerun. See Exit codes and errors.

Documentation

Contributing / License

Contributors must follow the E2E verification discipline in CLAUDE.md. Comfy Agent is available under the MIT License.

Command reference

For complete command documentation, see docs/cli-reference.md.