shubzailabs/comfyui-lab repository overview

⁠🚀 ComfyUI LAB (RTX 5090 / CUDA 12.8 / Pre-Baked Cloud GPU)

A high-performance, pre-baked Docker container image designed for Cloud GPU instances (RunPod), specifically tuned for NVIDIA RTX 5090 / Blackwell / Ada architectures.

Pre-loaded with PyTorch 2.10, CUDA 12.8 acceleration, Triton 3.6.0, SageAttention 2.2.0, and 50+ production custom node suites for instant startup without waiting for installer downloads on boot.

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⁠🌟 Key Features

• ⚡ Instant Startup: PyTorch 2.10, Triton, SageAttention, ComfyUI core, and 50+ custom nodes are pre-baked into image layers. Boot in ~30–45 seconds!
• 🚀 Pre-Baked Hardware Acceleration:
  • PyTorch: 2.10.0+cu128 ✅
  • SageAttention: 2.2.0 (Fast attention kernel for ultra-rapid diffusion sampling) ✅
  • Triton: 3.6.0 ✅
  • NumPy: 1.26.4 (Pinned for 100% custom-node stability) ✅
  • Dynamic VRAM Management: Tuned for high-resolution video and image pipelines ✅
• 🖥️ JupyterLab + ComfyUI Dual Access:
  • Boot directly into JupyterLab on port 8888 for file management and terminal access.
  • Start ComfyUI with 1 click via Start_ComfyUI.ipynb or terminal script on port 8188.
• 💾 Smart Model Storage:
  • Image is kept lightweight (~20 GB) by excluding heavy model weights (~80+ GB).
  • Attach your persistent volume disk to /workspace/ComfyUI/models so models and LoRAs persist permanently across pod stops and restarts!

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⁠☁️ RunPod Template Configuration

⁠1. Template Settings

⁠2. How to Launch & Use

1. Deploy a pod with this template on an NVIDIA GPU (RTX 5090, RTX 4090, Ada generation).
2. Attach your persistent volume disk to /workspace/ComfyUI/models.
3. When the pod starts, JupyterLab will be ready on Port 8888.
4. Click Connect ➔ JupyterLab (Port 8888).
5. In JupyterLab, start ComfyUI using either method:
   • Method A (1-Click): Double-click Start_ComfyUI.ipynb in the file tree and click the Run button.
   • Method B (Terminal): Open a Terminal in JupyterLab and run:

     python3 /workspace/start.py
     

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6. ComfyUI will launch on port 8188. Click Connect ➔ ComfyUI (Port 8188) in RunPod to start generating!

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⁠📦 Included Custom Nodes (50+ Pre-Installed)

• UI & Workflows: rgthree-comfy, ComfyUI-Easy-Use, ComfyUI-Manager, ComfyUI-Crystools, ComfyUI_Comfyroll_CustomNodes, ComfyUI-Custom-Scripts
• Enhancements & Upscalers: ComfyUI-Impact-Pack, ComfyUI-Impact-Subpack, was-node-suite-comfyui, ComfyUI-SeedVR2_VideoUpscaler, ComfyUI-RMBG, ComfyUI_UltimateSDUpscale, comfyui-inpaint-nodes, ComfyUI-Inpaint-CropAndStitch
• Media & Audio: ComfyUI-Chatterbox, audio-separation-nodes-comfyui, ComfyUI-MelBandRoFormer
• AI Models & Wrappers: ComfyUI-WanVideoWrapper, ComfyUI-WanAnimatePreprocess, ComfyUI-wanBlockswap, ComfyUI-LTXVideo, ComfyUI-Florence2, ComfyUI_InstantID, ComfyUI_LayerStyle, ComfyUI_LayerStyle_Advance, ComfyUI-GGUF, ComfyUI-Lotus, ComfyUI-segment-anything-2, comfyui_controlnet_aux, ComfyUI_IPAdapter_plus, ComfyUI_essentials

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⁠👨‍💻 Custom ComfyUI Workflows & Hire Me

Need custom ComfyUI workflows, specialized node configurations, custom Docker image builds, or AI deployment assistance?

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