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ComfyUI skill for AI coding agents, by AI VFX NEWS

ComfyUI-Agent-Kit

Local-first ComfyUI for every AI coding agent (Claude Code, Codex, Gemini CLI, Qwen Code). Your GPU, your models, no cloud, no account.

By AI VFX NEWS.

Make Claude Code, Codex, Gemini CLI, or Qwen Code drive ComfyUI at full power on your own machine - generate images, video, and audio, build and run workflows, pick the model variant that fits your hardware, and show the graph live in your own ComfyUI canvas. No hosted service, no per-generation billing: one installer wires the same stack into every agent you run, then you hand the whole setup to someone else with one command.

License: MIT ComfyUI Agents Platforms


This is the portable, machine-independent, multi-agent version of a working ComfyUI setup. One shared core (the knowledge + the MCP driver) plus a thin adapter per agent. Clone it, run the installer, and each of your agents gets the same stack, wired to your hardware. GLM (z.ai) run through Claude Code is covered by the claude adapter. See docs/AGENTS.md for how each agent connects.

Local-first by design. Prefer the cloud? The official Comfy Cloud MCP runs your workflows on Comfy's GPUs, no local setup. This kit is the local-first counterpart: everything runs on hardware you control, with no account and no per-generation cost, the model picker sizes each job to your VRAM, and it serves four agents, not one. Use whichever fits the job.

What it can do

  • Drive ComfyUI from four agents (Claude Code, Codex, Gemini CLI, Qwen Code) off one shared core. GLM via Claude Code is covered too. (docs/AGENTS.md)
  • ~90-tool MCP driver. The agent operates ComfyUI directly: generate, build / edit / validate graphs, queue, download models, manage VRAM, read logs, diagnose.
  • Per-model "mega-brain": 67 prompt recipes distilled from official sources (image, video, audio, 3D); the agent auto-pulls the right recipe when you name a model, so it prompts each one in its own dialect.
  • Knows where each model runs: a full index of all 149 library models (recipe / utility / template-only), local vs API.
  • Hardware-aware model selection: detects your VRAM, RAM, and free disk, then recommends the variant that fits (fp8 / offload / multi-GPU / quant) and refuses a download that won't fit, before wasting the bandwidth.
  • 18 enhancement and utility tools: upscale / restore (Real-ESRGAN, SUPIR, SeedVR2), frame interpolation (FILM, RIFE), segmentation / depth / pose (SAM3, BiRefNet, Depth Anything), plus restoration chains.
  • 545-template library (and 94 official Subgraph Blueprints, reusable subgraph bricks) as the source of truth, plus fetch any shared workflow by hash and a model shootout (run a prompt through many models small, pick the winner, then scale up).
  • Assembles new workflows from parts: decomposes a task into stages, mixes templates and blueprint subgraphs, and wires the nodes correctly (output-to-input by type, with converters where needed), validated against /object_info before running. Not a preset runner.
  • Starts ComfyUI for you: when the server is down, the agent launches it headless in the background and generates (no need to open the app first); to peek, you open http://127.0.0.1:8188 in a browser. For an unattended pipeline the start policy is configurable per project (env vars or a .comfyui-agent.json), so it never blocks on a prompt.
  • GUI bridge + persistence: the agent writes graphs into your ComfyUI canvas, and SAVES every workflow it builds or runs to ComfyUI's workflows folder, so you can open it later from the Workflows sidebar (an API generation alone leaves no trace on the canvas).
  • Stays current on its own: check_updates.py diffs the template repo and reads the blog RSS; an optional weekly task adds recipes for new models and pushes them. (docs/UPDATING.md)
  • Portable and idempotent: one installer, auto-detects your agents, re-runnable. MIT, no vendored third-party code (everything heavy is fetched at install).

The four-layer stack

The four-layer stack: knowledge + client, MCP driver, in-graph Claude nodes, node-building skills, plus the template library and GUI bridge
Layer What Installed as
1 Knowledge + client the operating manual and a zero-dependency HTTP client the agent's skill / extension dir
2 MCP driver ~90 structured tools so the agent operates ComfyUI directly comfyui-mcp (npm) + per-agent MCP registration
3 In-graph Claude nodes an LLM as a step inside a workflow (prompt enrichment, vision QA) ComfyUI custom_nodes
4 Node-building skills for writing/modifying custom nodes (V3 API) the agent's skill dir (Claude/Codex)
+ Template library the official 500+ workflow templates, the source of truth sparse git clone + quick index

Plus a GUI bridge: the agent writes graphs to <ComfyUI>/user/default/workflows/, you open them in the built-in Workflows sidebar and tweak them. No extra "agent panel" node required.

See docs/LAYERS.md for each layer, and docs/AGENTS.md for the per-agent matrix.

The template library is the source of truth

The kit clones the official Comfy-Org/workflow_templates and builds a compact lookup index so the agent can match any request to the right template. 545 templates (plus 94 official Subgraph Blueprints, reusable subgraph bricks) span every task, image, video, 3D, audio, utilities:

Workflow templates by category: 139 image, 136 video, 107 use cases, 67 utility, 33 3D, 29 audio, and more

It knows every model's dialect

Each generative model rewards a different prompt approach: SDXL wants comma tags, FLUX wants natural-language sentences, video models want camera and motion direction, audio models want genre/tempo/instruments, and negative-prompt support varies wildly. The kit ships MODELS.md, a per-model prompting reference distilled from official sources (each maker's docs and model cards, docs.comfy.org, and the per-model templates from the anthropic-claude node). When you name a model in a request or a workflow, the agent reads that model's entry first and prompts it correctly.

Covered today (67 models with recipes): FLUX.1/.2 + Kontext, Z-Image, Boogu, Qwen-Image/Edit, SDXL, SD1.5/3.5, HiDream, Ideogram, Nano Banana Pro/2, Seedream, Recraft, GPT-Image, Grok, Reve, Kandinsky, BRIA, OmniGen, Chroma, Krea 1/2, ERNIE-Image, FireRed/LongCat/ChronoEdit (edit), Capybara, Bernini-R, Anima, NewBie, PixelDiT, Ovis-Image, Lens, Quiver, Wan 2.1-2.7, LTX-2.3/2 Pro, Hunyuan Video, SVD, Kling, Veo, Sora, Seedance, Luma, Runway, MiniMax, PixVerse, Vidu, Pika, HappyHorse, HuMo, SCAIL-2, Stable Audio, ACE-Step, ElevenLabs, ChatterBox, Sonilo, Hunyuan3D, Tripo, Rodin, Meshy. Plus a separate Enhancement and utility section (not prompt-driven, settings not prompts): upscalers and restorers (Real-ESRGAN, SUPIR, SeedVR2, FlashVSR, Topaz, Magnific), frame interpolation (FILM, RIFE), conditioning helpers (SAM3, BiRefNet, Depth Anything, DWPose, MoGe, IP-Adapter, LivePortrait, Mediapipe), and video object removal (VOID). Anything else falls back to the template library.

Per-model prompt recipes by modality: 37 image, 20 video, 5 audio, 4 3D, 66 total, split local/open-weight vs API, plus 18 enhancement and utility tools

Full model index: every model in the library and exactly what the kit has for it (recipe / utility / template-only): docs/MODEL_INDEX.md.

Coverage table: every model and whether a prompt recipe is ready

βœ… recipe = a dedicated, up-to-date prompting guide in MODELS.md. πŸ”§ tool = an enhancement/utility note (settings, not prompts). Updated: 2026-06-25.

One table, columns aligned to the widest row (the video models).

Modality Model / tool Prompt recipe Runs
Image FLUX.1 / FLUX.2 / Kontext βœ… local + API
Image Z-Image-Turbo βœ… local
Image Qwen-Image / Edit βœ… local
Image SDXL Β· SD 1.5 Β· SD 3.5 βœ… local
Image HiDream-I1 βœ… local
Image BRIA 3.x βœ… local
Image OmniGen v1/v2 βœ… local
Image Chroma βœ… local
Image Krea 2 / FLUX.1 Krea Dev βœ… local
Image ERNIE-Image βœ… local
Image Capybara (image+video) βœ… local
Image Bernini-R (relight) βœ… local
Image Anima (anime) βœ… local
Image NewBie (anime, XML prompts) βœ… local
Image PixelDiT βœ… local
Image Ovis-Image (text rendering) βœ… local
Image Lens / Lens Turbo βœ… local
Image Quiver (text to SVG) βœ… API
Image Ideogram 2/3 βœ… API
Image Nano Banana Pro / 2 βœ… API
Image Seedream 4/5 βœ… API
Image Recraft V3 βœ… API
Image GPT-Image βœ… API
Image Grok Image βœ… API
Image Reve βœ… API
Image Kandinsky 3.x βœ… local + API
Image edit FireRed / LongCat / ChronoEdit βœ… local
Video Wan 2.1-2.7 (+VACE/Animate/ATI) βœ… local + API
Video LTX-2.3 / LTX-2 Pro βœ… local
Video Hunyuan Video βœ… local
Video SVD (image-to-video) βœ… local
Video HuMo (lip-sync) βœ… local
Video SCAIL-2 (character) βœ… local
Video HappyHorse 1.1 (synced audio) βœ… API
Video Kling (1.6-3.0, O1/O3) βœ… API
Video Veo 3/3.1 βœ… API
Video Sora 2 βœ… API
Video Seedance 1.0/1.5/2.0 (4K) βœ… API
Video Luma Ray Β· Runway Gen-4/4.5 βœ… API
Video MiniMax/Hailuo Β· PixVerse Β· Vidu Β· Pika βœ… API
Audio Stable Audio Β· ACE-Step Β· ChatterBox βœ… local
Audio ElevenLabs Β· Sonilo βœ… API
3D Hunyuan3D βœ… local
3D Tripo Β· Rodin Β· Meshy βœ… API
Enhance / utility Real-ESRGAN, SUPIR, SeedVR2, FlashVSR (upscale/restore) πŸ”§ settings local
Enhance / utility Topaz, Magnific (upscale) πŸ”§ settings API
Enhance / utility FILM, RIFE (frame interpolation) πŸ”§ settings local
Enhance / utility SAM3, BiRefNet (segmentation/matting) πŸ”§ settings local
Enhance / utility Depth Anything v2/v3, MoGe (depth/geometry) πŸ”§ settings local
Enhance / utility DWPose, Mediapipe (pose/landmarks) πŸ”§ settings local
Enhance / utility IP-Adapter, LivePortrait (conditioning/portrait) πŸ”§ settings local
Enhance / utility VOID (video object removal) πŸ”§ settings local

Niche models still without a recipe (very new, thin docs) run from their template and borrow the closest family's approach; see docs/MODEL_INDEX.md for the full per-variant breakdown.

Prerequisites

Install

Claude Code: one-command plugin

Claude Code users can add the kit straight from the marketplace, no clone needed:

/plugin marketplace add SlavaSexton/ComfyUI-Agent-Kit
/plugin install comfyui@comfyui-agent-kit

That registers the local comfyui-mcp driver (launched with npx, no manual npm step) and loads the full comfyui skill (the 67-recipe brain + the docs). You still need a local ComfyUI on http://127.0.0.1:8188; the skill fills in your machine block on the first task. Plugins are Claude Code only, so for Codex / Gemini CLI / Qwen Code use the multi-agent installer below.

Every agent: the installer

Windows (PowerShell):

git clone https://github.com/SlavaSexton/ComfyUI-Agent-Kit.git
cd ComfyUI-Agent-Kit
./install.ps1 -ComfyUIPath "E:\path\to\ComfyUI"   # installs for every agent CLI found on PATH

Linux / macOS:

git clone https://github.com/SlavaSexton/ComfyUI-Agent-Kit.git
cd ComfyUI-Agent-Kit
./install.sh --comfyui-path /path/to/ComfyUI       # installs for every agent CLI found on PATH

The installer runs the shared machine setup once (MCP package, templates, in-graph nodes), then auto-detects which of claude / codex / gemini / qwen are installed and wires each one. It is idempotent, re-run it any time. Limit the targets with -Agents claude,gemini / --agents claude,gemini. Flags: -SkipTemplates / --skip-templates (skip the ~900MB template clone), -SkipNodes / --skip-nodes. Per-agent details and the GLM note are in docs/AGENTS.md.

First run on a new machine

After install, start ComfyUI, then in an agent session tell it to run the bootstrap once (docs/BOOTSTRAP.md): it detects your GPUs, VRAM, RAM, free disk, paths, and installed models via the MCP health_check, fills the machine-specific block in the skill, and does a smoke-test generation. After that, just ask for media. On Claude/Codex the skill auto-activates on ComfyUI keywords; on Gemini/Qwen the knowledge is loaded as the extension's context.

Optional: in-graph LLM key

Only needed if you want a workflow to enrich prompts without the agent in the loop (e.g. an unattended pipeline):

setx CLAUDE_API_KEY "sk-ant-..."   # then restart ComfyUI

See docs/NODES.md. When you are driving, the agent writes prompts directly, better and free.

Layout

ComfyUI-Agent-Kit/
β”œβ”€β”€ install.ps1 / install.sh         top-level: shared setup + auto-detect agents + run adapters
β”œβ”€β”€ shared/
β”‚   β”œβ”€β”€ comfyui/                     SKILL.md + MODELS.md + comfy_client.py  (one source of truth)
β”‚   └── tools/gen_quick_index.py     rebuild the template lookup index
β”œβ”€β”€ agents/
β”‚   β”œβ”€β”€ claude/   install.ps1/.sh    -> ~/.claude/skills/comfyui + claude mcp add + CLAUDE.md
β”‚   β”œβ”€β”€ codex/    install.ps1/.sh    -> ~/.agents/skills/comfyui + ~/.codex/config.toml
β”‚   β”œβ”€β”€ gemini/   install.ps1/.sh    -> ~/.gemini/extensions/comfyui (gemini-extension.json + GEMINI.md)
β”‚   └── qwen/     install.ps1/.sh    -> ~/.qwen/extensions/comfyui (qwen-extension.json + QWEN.md)
β”œβ”€β”€ docs/AGENTS.md                   per-agent matrix (how each connects) + GLM note
β”œβ”€β”€ docs/MODEL_INDEX.md              every model in the library and what the kit has for it
β”œβ”€β”€ docs/EXAMPLE_WORKFLOWS.md        notable shared workflows (model shootouts, restoration) + fetch helper
β”œβ”€β”€ docs/UPDATING.md                 stay current: check_updates.py (templates diff + blog RSS) + the loop
β”œβ”€β”€ docs/BOOTSTRAP.md / LAYERS.md / NODES.md
β”œβ”€β”€ ATTRIBUTION.md                   credits for fetched third-party pieces
β”œβ”€β”€ CHANGELOG.md                     curated history of notable changes (Keep a Changelog)
└── LICENSE                          MIT (this kit's original files)

What is and isn't in this repo

In the repo (original work, MIT): the skill, the client, the installer, the index generator, the docs, the generated visuals. Fetched at install time from their own sources (not redistributed here): the comfyui-mcp package, the node-building skills, the workflow templates, and the in-graph Claude nodes.

Credits and thanks

This kit stands on excellent open-source work. It is a thin wiring layer over these projects, and the heavy lifting is theirs. Huge thanks to:

v1.1.0 builds on more excellent work. Thanks also to:

Field techniques in wide community use lean on:

  • KJNodes by kijai (LTX-2.3 NAG, GGUF loading, chunked feed-forward, multi-guide), ComfyUI-CacheDiT by Jasonzzt (inference caching), ComfyUI-MelBandRoFormer (audio stem separation), ComfyUI-Frame-Interpolation by Fannovel16 (FILM), comfyui-inpaint-cropandstitch (Flux.2 masked inpaint), and GAP LTX 2.3 Motion by GeekatplayStudio (lipsync / storyboard / long audio).
  • ComfyUI-Flux2Klein-Enhancer by capitan01R, the training-free multi-reference identity-transfer node suite for FLUX.2 Klein. Note: PolyForm Noncommercial license (commercial use needs a separate license).
  • Smart Image Crop and Stitch by HallettVisual, an auto-sized crop/stitch node pair for high-res inpainting and detail edits (Apache-2.0).

Full per-component licensing is in ATTRIBUTION.md. If anything here misattributes your work, open an issue and it will be fixed.

License

MIT, see LICENSE. Third-party components keep their own licenses.

Made by AI VFX NEWS

About

One ComfyUI skill for every AI coding agent (Claude Code, Codex, Gemini CLI, Qwen Code): drives a local ComfyUI end to end. 67 model prompt recipes, 545 templates, hardware-aware selection, auto-start, workflow building, multi-shot video, ControlNet, HDR, enhance/restore. By AI VFX NEWS.

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