Comfy Colab Kit

An always-available, wake-on-demand ComfyUI on Google Colab — open the URL; if it's asleep, press Wake and watch it boot; then it is your ComfyUI app.

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🌐 Live Showcase Site

[!IMPORTANT] Personal-use tool. Colab compute belongs to your Google account. Sharing it with others may violate the Colab terms/FAQ (e.g. reselling or sharing compute) and can get the account restricted. Keep access to yourself or a handful of family/friends. Not affiliated with Google or Comfy Org.

📖 Overview

A tiny gateway, comfy-gate (Python / aiohttp), runs either 100% locally on your Mac/PC (zero VPS, zero domain, zero setup fees) or on a Linux VPS behind Cloudflare Access.

[!NOTE] The Gate's Essential Role: comfy-gate is fundamentally a lifecycle, cold-start, and auto-shutdown gateway — it does NOT reimplement ComfyUI. When the GPU is asleep, it serves a lightweight, zero-compute wake card with real-time SSE progress. When booted, it transparently reverse-proxies directly into the authentic, full-featured ComfyUI Web Application (including node graph, App mode, custom nodes, extensions, and WebSocket streaming), injecting only a non-intrusive floating overlay to switch between App mode and the Node Graph.

🖼️ Preview

Landing Showcase: WebGL Aurora backdrop, zero-GPU-idle architecture, and community workflow showcase

Cold-Start Wake Gateway Real-time SSE stage telemetry, Cloudflare Access Zero-Trust auth, and live CU budget ledger

ComfyUI on Colab L4 GPU Native ComfyUI web application with App mode, Linear/Graph toggle overlay, and real-time image generation

🤖 AI Agent Driving the GPU (Image & Video Showcase)

Three real sessions where an AI agent called the gateway end-to-end — no browser, no manual cell.

Text-to-Image via /comfy-colab-kit 41 s from prompt to finished PNG	Image-to-Image via /comfy-colab-kit 2 m 14 s, two variations from one reference
Text-to-Video via wan-ltx-video 65 s from prompt to 24 fps HD MP4

All flows run entirely through the gateway's REST/MCP surface: the agent never touches a browser, a notebook cell, or a Colab URL.

💡 Why Comfy Colab Kit? (The Paradigm Shift)

Traditional Colab forces you to sit in front of a computer, manually run notebook cells, and baby-sit browser tabs that disconnect when your laptop sleeps. Comfy Colab Kit completely decouples compute execution from human attendance:

✨ Features

• Remote & Mobile Wake — Wake ComfyUI on Colab L4 from your smartphone, tablet, or terminal. No desktop browser or manual cell execution required.
• One shared session — wake is idempotent; a second visitor (or agent) joins the in-flight boot instead of starting another VM. State survives gate restarts (STATE_DIR/session.json).
• Model Context Protocol (MCP) Native — Full MCP JSON-RPC 2.0 support via local stdio (ckit mcp) and remote HTTP (/mcp), exposing gate_status, gate_wake, gate_txt2img, gate_img2img, gate_generate, and gate_stop.
• Live progress for everyone — Server-Sent Events broadcast state, download GB / speed and setup logs.
• Dual-Mode Access Control (Mode B Default) — OWNER_ONLY_CONTROL=true restricts wake, stop, profile switch, and extension to administrators (OWNER_EMAILS), safeguarding Colab compute units while allowing all authenticated team members to share ComfyUI once ready. Switchable to Mode A collaborative control ("who wakes can stop").
• Multi-IdP & Access-verified identity — Supports Google & GitHub OAuth alongside Email OTP. Every request verifies Cf-Access-Jwt-Assertion (RS256, AUD, issuer).
• Backend locked to a service token — the Colab tunnel hostname only admits the gate's Access service token.
• Fast cold start & L4 hardware acceleration — a parallel HTTP Range downloader streams the 24.9 GB MOSS-Image profile at T0 straight into a RAM tmpfs at up to 1,096 MB/s (8.77 Gbps), overlapping tool installs and ComfyUI boot. --highvram keeps the entire 18 GB model suite resident in L4's 24 GB VRAM with 100% cache retention (zero PCIe swapping), yielding ~90 s (~1.5 min) cold starts and 26.8 s warm 1024×1024 generations.
• App mode first — workflows get ComfyUI App-mode metadata; the injected overlay toggles App ⇄ Graph.
• Full ComfyUI API passthrough — transparently proxies /upload/image for Img2Img reference images, /prompt, /history, /view, /object_info, /system_stats, /queue, and WebSocket /ws.
• Autonomous Agent friendly — RFC 8628 device flow (ckit auth), 1-click prompt copy in Web UI, docs/AGENT_SKILL.md, docs/MCP.md, skills/comfy-colab-kit/SKILL.md, and llms.txt.

🚀 Quick start

Choose the deployment path that fits your needs:

Option A: 💻 100% Local Standalone (Zero VPS, Zero Domain, Zero Cloudflare)

Recommended for individual creators, local AI agents, and Mac / laptop users! No server to rent, no domain to buy, and no Cloudflare configuration. Your machine commands an ephemeral Google Colab L4 GPU (24GB VRAM) and streams ComfyUI directly to http://localhost:8080.

git clone https://github.com/FireTable/comfy-colab-kit.git && cd comfy-colab-kit
cp .env.example .env
# Enable local zero-auth & localhost port (macOS: sed -i ''; Linux: sed -i)
sed -i '' 's/AUTH_DISABLED=false/AUTH_DISABLED=true/' .env
sed -i '' 's/PUBLIC_HOST=comfy.example.com/PUBLIC_HOST=localhost:8080/' .env

# 1. One-time Google Colab login & directories setup
mkdir -p data secrets && chmod 777 data
docker run --rm -it -v $(pwd)/data:/data -e HOME=/data/home ghcr.io/firetable/comfy-colab-kit:latest colab sessions

# 2. Start the gateway locally
docker compose -f deploy/docker-compose.local.yml up -d
# (Or run natively: pip install -e ".[dev]" && python3 -m gate)

# 3. Open http://localhost:8080 in your browser!

Full local guide & AI agent setup: docs/DEPLOY_LOCAL.md

Option B: ☁️ Cloud VPS + Cloudflare Zero Trust (Production Team Setup)

Recommended for teams, 24/7 background automations, and public webhook integrations.

git clone https://github.com/FireTable/comfy-colab-kit.git && cd comfy-colab-kit
cp .env.example .env                         # set PUBLIC_HOST, COLAB_TUNNEL_HOST, CF_ACCESS_*, emails
mkdir -p secrets data && chmod 700 secrets data
ZONE_NAME=example.com COLAB_TUNNEL_HOST=comfy-colab.example.com \
  CLOUDFLARE_API_TOKEN=… scripts/cf-setup.sh # tunnel + DNS + backend Access app + service token → secrets/
openssl rand -hex 32 > secrets/agent_token && chmod 600 secrets/*
docker compose -f deploy/docker-compose.yml run --rm comfy-gate colab sessions   # one-time colab login
docker compose -f deploy/docker-compose.yml up -d
# add deploy/Caddyfile.snippet to Caddy, reload, open https://$PUBLIC_HOST

Pre-built container images are published on GHCR (docker pull ghcr.io/firetable/comfy-colab-kit:latest), and the operator CLI / MCP client can be installed standalone via uv tool install git+https://github.com/FireTable/comfy-colab-kit.git (or from the .whl attached to GitHub Releases).

Full walkthroughs: docs/DEPLOY_LOCAL.md (local standalone), docs/DEPLOY_VPS.md (VPS), docs/ACCESS.md (browser, guest link, LAN & agent access), docs/CLOUDFLARE.md, and docs/AGENT.md (comprehensive credential guide).

🤖 For AI Agents & Automation (Agent Skill Protocol)

Autonomous coding agents (Claude Code, Cursor, OpenClaw, Codex, LangGraph) can wake, monitor, use, and release the ComfyUI GPU backend without manual browser interaction:

[Agent] ──Bearer / Service Token──► comfy-gate (/_gate/status)
                                          │ If sleeping: POST /_gate/wake
                                          ▼
                                    Colab VM boots L4 ComfyUI
                                          ▼
[Agent] ◄──standard ComfyUI API───► Proxied /prompt, /history, /view
                                          ▼
[Agent] ──POST /_gate/stop────────► Releases GPU (or auto-sleep on idle)

1. Authentication & Pairing: Provide Authorization: Bearer <agent_token> or Cloudflare Access Service Token headers. Alternatively, use RFC 8628 device flow via ckit auth https://<host> or click 🤖 Copy Prompt for AI Agent in the Web UI.
2. Status Check & Discovery: Call GET /_gate/status (or ckit status --json). Discover supported workflows via ckit profiles --json or GET /_gate/profiles.
3. Idempotent Wake: Call POST /_gate/wake (or ckit wake --profile <name> --wait). Multiple concurrent wakes safely join the in-flight boot.
4. Model Context Protocol (MCP): Run ckit mcp locally for Cursor/Claude Desktop, or point streamable MCP clients to https://<host>/mcp to use gate_status, gate_wake, gate_txt2img, gate_img2img, gate_generate, and gate_stop.
5. ComfyUI API Passthrough: Once ready, call standard ComfyUI endpoints directly through the gate (POST /upload/image for Img2Img reference uploads, POST /prompt, GET /history/{prompt_id}, GET /view?filename=..., and WebSocket /ws).
6. Clean Shutdown: When execution completes and no humans are active (clients == 0), call POST /_gate/stop (or MCP gate_stop) to immediately release compute, or allow the idle auto-stop rule to reclaim the VM.

📖 Agent References & Protocols:

• docs/AGENT_SCAFFOLDING.md — Let AI Build Your Profile or Adapt a Fork: Agent runbook & copy-paste prompts for generating custom ComfyUI profiles or adapting a fork of this gateway to run any Google Colab GPU workload (vLLM, Ollama, Forge, Gradio, etc.).
• docs/MCP.md — Comprehensive Model Context Protocol guide (stdio ckit mcp, remote HTTP /mcp, Cursor & Claude setup).
• skills/comfy-colab-kit/SKILL.md — Universal Agent Skill specification (/comfy-colab-kit) with Txt2Img vs Img2Img decision tree.
• skills/comfy-workflow-ui/SKILL.md — ComfyUI App Mode and workflow UI inspection & audit runbook.
• docs/APP_MODE.md — ComfyUI App Mode (Linear Mode) architecture, schemas, and node serialization rules.
• docs/AGENT_SKILL.md — Detailed Agent Skill specification, credential handling, and tool patterns.
• docs/AGENT.md — Autonomous VPS deployment guide, credential procurement, and Cloudflare Access setup.
• apps/gate/openapi.yaml — OpenAPI 3.1 specification for all /_gate/* and passthrough routes.
• llms.txt — LLM context index for AI systems.

🧩 Profiles

Workflows are only community-published ones, fetched from the author with source and license recorded. Format and passthrough options: docs/PROFILES.md.

[!TIP] Need a different model or a non-ComfyUI Colab service? If the built-in profiles don't include the model you want — or if you want to fork this repository and reuse its wake-on-demand gateway, Zero-Trust auth, RAM tmpfs Range downloader, and auto-stop rules for any Google Colab GPU workload (vLLM, Ollama, SD-WebUI Forge, Gradio, etc.) — point your AI coding agent at docs/AGENT_SCAFFOLDING.md to scaffold it automatically.

⏱️ Auto-stop

IDLE_TIMEOUT_MIN · MAX_SESSION_HOURS / EXTEND_MAX_TIMES · BOOT_TIMEOUT_MIN · STOP_ON_PAGE_CLOSE_MIN · QUIET_HOURS · DAILY_CU_BUDGET / MONTHLY_CU_BUDGET / MIN_CU_BALANCE · ORPHAN_SWEEP_MIN · WATCHDOG_GATE_LOST_MIN (Colab-side self-release). Details: docs/AUTO_STOP.md.

🔐 Security

No secret ever enters the repo: .env, secrets/, data/ are ignored, gitleaks + scripts/check-secrets.sh run in pre-commit and CI, profiles reject credential-like keys. Secrets reach Colab over colab exec stdin and live only in kernel memory. See docs/SECURITY.md.

🏗️ Monorepo Architecture

Request path, 10-state lifecycle, and the five auto-stop gates — animated SVG, light & dark aware

Comfy Colab Kit is structured as an engineering monorepo separating server applications, runtime packages, model profiles, and deployment automation:

comfy-colab-kit/
├── apps/
│   ├── gate/                 # [Application] Gateway & Reverse Proxy (backend Python + web UI)
│   │   ├── app.py            # aiohttp entrypoint, routes, middleware, auto-stop loop
│   │   ├── session.py        # Central single-instance Session orchestrator
│   │   ├── proxy.py          # Reverse proxy with SSE/WS streaming & overlay injection
│   │   ├── openapi.yaml      # OpenAPI 3.1 specification
│   │   └── web/              # Wake page static UI (index.html, bg.js, logo.svg)
│   └── site/                 # [Application] Showcase / Landing Site
│       ├── index.html        # Showcase documentation & promo page
│       ├── styles.css        # Aligned theme styles
│       └── main.js           # Client interactions
├── packages/
│   ├── colab/                # [Package] Colab VM agent & runtime (setup.py)
│   ├── cli/                  # [Package] Host & developer CLI tool (ckit)
│   └── schemas/              # [Package] JSON Schema definitions (profile.schema.json)
├── profiles/                 # Profiles & Model Configurations
│   ├── examples/             # Built-in community profiles (moss-image, flux-klein, wan-ltx-video, sd-latest, qwen-image, minimax-h3-image)
│   └── custom/               # Mount point for user custom profiles
├── deploy/                   # Infrastructure & deployment configuration
│   ├── Dockerfile            # Container build recipe
│   ├── docker-compose.yml    # VPS orchestration
│   └── Caddyfile.snippet     # Reverse proxy routing
├── docs/                     # Comprehensive product & engineering documentation
│   ├── AGENT.md              # VPS deployment & credential acquisition runbook
│   ├── AGENT_SKILL.md        # AI agent usage guide (wake, generate, stop)
│   ├── AGENT_SCAFFOLDING.md  # AI agent guide to author profiles or adapt forks for any Colab workload
│   ├── APP_MODE.md           # ComfyUI App Mode form architecture & UI specifications
│   └── ...
├── skills/                   # Self-contained agent runbooks
│   ├── comfy-colab-kit/      # Gateway operator skill (wake, prompt, generate, stop)
│   └── comfy-workflow-ui/    # Workflow UI & App Mode inspector and audit skill
├── scripts/                  # CI, validation and secret check utilities
└── tests/                    # Pytest test suite (157 tests)

🛠️ Development

python -m venv .venv && . .venv/bin/activate && pip install -e ".[dev]"
npm install                 # Graphviz (WebAssembly) — lays out the architecture diagram
python -m pytest -q
node scripts/build-hero.mjs               # the dispatch bench, assets/architecture/hero.svg
python scripts/build-architecture-svg.py   # regenerate assets/architecture/flow*.svg
AUTH_DISABLED=true STATE_DIR=/tmp/kit COLAB_BIN=/bin/false python -m gate.app   # wake page on :8080

💖 Acknowledgments & Open-Source Credits

Comfy Colab Kit stands on the shoulders of giants. We express our deepest gratitude to the creators and open-source communities who make this project possible:

• ComfyUI — The revolutionary node-based diffusion execution engine and modern Web App interface created by @comfyanonymous and the Comfy Org.
• Google Colab — For democratizing high-performance GPU compute (NVIDIA L4 24GB).
• Cloudflare — For the rock-solid Zero Trust Access network, Named Tunnels (cloudflared), and global Pages hosting.
• React Bits — The visual design foundation for the Aurora WebGL shaders, SpotlightCard cursor glow, and ShinyText animations created by David Haz.
• Hugging Face — High-speed model hosting and parallel weight streaming (hf_xet).
• uv by Astral — Blazing fast Python environment initialization.
• MOSS-Image — Cutting-edge open diffusion weights, DeBand LoRAs, and community workflows by OpenLMLab and MATLOWAI.
• Black Forest Labs — Creators of the FLUX.2 Klein 4B (Distilled Apache-2.0 & Base) and FLUX.1 Schnell image generation & editing models.
• Alibaba Wan Team (Tongyi Lab) & Lightricks — Creators of the Apache-2.0 Wan 2.2 5B TI2V / Wan 2.1 1.3B and LTX-Video 2B open video generation models.
• Stability AI & Qwen Team — For open-weights research (SD 3.5 Large & Qwen-Image 2.1).

📄 License

MIT for this repository. Models, LoRAs, custom nodes and workflows referenced by profiles keep their own licenses (listed in each profile README) and are downloaded from their original sources. Colab is a trademark of Google; ComfyUI belongs to Comfy Org. This project is not affiliated with either.