tcpassos/comfyui-cloud
tcpassos
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tcpassos/comfyui-cloud
Pre-baked ComfyUI image for RunPod and Vast.ai with fast cold start.
Custom nodes and models are declared in a config.json and downloaded on first boot — the workflow lives in the volume, not the image.
Available tags
| Tag | Base image | torch | CUDA | Min NVIDIA driver | When to pick |
|---|---|---|---|---|---|
latest | pytorch/pytorch:2.12.0-cuda13.0-cudnn9-runtime | 2.12.0+cu130 | 13.0 | R580+ | Default. Blackwell (RTX 5090, B200) and any pod whose host advertises CUDA ≥ 13. |
cu130 | (alias for latest, same image ID) | 2.12.0+cu130 | 13.0 | R580+ | Explicit pin when you want CUDA 13 but don't want to follow a moving latest. |
cu128 | pytorch/pytorch:2.11.0-cuda12.8-cudnn9-runtime | 2.11.0+cu128 | 12.8 | R555+ | Older drivers (A40, A100, L40 on hosts stuck on R5xx). Pre-flight aborts :latest on these. |
Both tags ship the same entrypoint, nginx setup, custom-node provisioning and pre-flight GPU check. The only difference is the torch / CUDA stack baked into the base image. SageAttention 2.2.0 wheels for either combo are pulled at boot from https://github.com/tcpassos/sage-wheels-linux.
- Image size: ~7.2 GB
- ComfyUI: latest (overridable via
--build-arg COMFYUI_VERSION=) - Boot stack: https://github.com/astral-sh/uv for pip,
hf_transfer+aria2cfor parallel downloads, shallow clones - Pre-flight GPU check: aborts in <1s if the host's NVIDIA driver is too old for the image's CUDA runtime (no more 40-min boots ending in
torch.cudaerrors) - SageAttention 2.x: resolved at boot — prebuilt wheel matching your GPU's SM is pulled from https://github.com/tcpassos/sage-wheels-linux, cached on the volume
Quick start
Generate a config.json at comfyforge.app (import a workflow → publish → copy the URL), then point the container at it via CONFIG_URL. CONFIG_URL is optional: without it, the image boots with a minimal example (ComfyUI-Manager + Lora Manager, no models).
RunPod
| Field | Value |
|---|---|
| Container Image | tcpassos/comfyui-cloud:latest |
| Container Disk | 20–25 GB (image + pip caches) |
| Volume Disk | 40–100 GB (models live here) |
| Volume Mount Path | /workspace |
| Expose HTTP Ports | 8188 |
Vast.ai
| Field | Value |
|---|---|
| Image Path:Tag | tcpassos/comfyui-cloud:latest |
| Launch Mode | Docker ENTRYPOINT |
| Docker Options | -p 8188:8188 -p 22:22 -e OPEN_BUTTON_PORT=8188 |
| Disk Space | 25 GB minimum (no container/volume split — attach a separate volume for models) |
Pick the tag that matches the host driver:
:latest/:cu130(CUDA 13) needs NVIDIA driver ≥ R580,:cu128(CUDA 12.8) needs ≥ R555. On RunPod / Vast.ai, filter offers by CUDA Version ≥ 13.0 for:latest/:cu130or ≥ 12.8 for:cu128. The image's pre-flight aborts in <1s witherror 804: forward compatibility was attempted on non supported HWif the driver is too old — swap the tag and redeploy.
Environment variables
| Variable | Default | Description |
|---|---|---|
CONFIG_URL | (unset) | Public URL of a config.json. If unset and /workspace/config.json doesn't exist, the bundled example is used. |
HF_TOKEN | — | Hugging Face token. Required for gated models (FLUX.1, etc.). |
CIVITAI_TOKEN | — | Civitai API token. Required for Civitai models. |
INSTALL_SAGE | true | Install SageAttention 2.x at boot. |
SAGE_PREBUILT | true | Try a prebuilt wheel matching your GPU's SM before any source build. |
SAGE_PREBUILT_REPO | tcpassos/sage-wheels-linux | GitHub repo for prebuilt Sage wheels. |
SAGE_BUILD_JOBS | 4 | MAX_JOBS for the fallback source build (lower it on small instances). |
UPDATE_NODES | false | git pull unpinned custom nodes on every boot. |
PORT | 8188 | ComfyUI / nginx port. |
OPEN_BUTTON_PORT | — | (Vast.ai) Sets the blue Open button target. |
OPEN_BUTTON_TOKEN | — | (Vast.ai) Bearer token appended to the Open URL. |
FILEBROWSER_PASSWORD | random | Admin password for File Browser at /files/. Printed in the boot log if random. |
GH_TOKEN | — | Optional — raises GitHub API rate limit when querying Sage releases. |
Layout
| Item | Location | Persistent? |
|---|---|---|
| ComfyUI, Python, torch, uv, aria2 | /opt/ComfyUI (image) | No |
| Custom nodes | /workspace/custom_nodes | Yes (volume) |
| Models | /workspace/models/<category> | Yes |
| Outputs, ComfyUI user configs | /workspace/output, /workspace/user | Yes |
| SageAttention wheel cache | /workspace/cache/sage_wheels | Yes |
config.json (nodes + models) | /workspace/config.json | Yes |
First boot (5–15 min)
- Resolve
config.json(fromCONFIG_URLor the bundled example). - Clone custom nodes declared in
nodes[]. uv pip install -rall node requirements in a single resolver pass.- Download models in
models[]witharia2c(up to 16 connections/file, falls back tocurl). - Install SageAttention (prebuilt → cache → source → PyPI fallback).
- Start ComfyUI behind nginx on port
8188.
Subsequent boots are ~30 s: nodes and models are already on the volume.
Smoke test
bashdocker run --rm --entrypoint python3 tcpassos/comfyui-cloud:latest \ -c "import torch, torchvision, torchaudio; print(torch.__version__, torch.version.cuda)" # 2.12.0+cu130 13.0
Links
- Config generator: comfyforge.app
- Prebuilt Sage wheels: https://github.com/tcpassos/sage-wheels-linux
- Source / full docs: https://github.com/tcpassos/comfyui-docker
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
轩辕镜像加速拉取命令点我查看更多 comfyui-cloud 镜像标签
docker pull docker.xuanyuan.run/tcpassos/comfyui-cloud:<标签>
DockerHub 原生拉取命令
docker pull tcpassos/comfyui-cloud:<标签>
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oldzhang
运维工程师
Linux服务器
5
"Docker访问体验非常流畅，大镜像也能快速完成下载。"