comfyui-turbodiffusion

Name: comfyui-turbodiffusion
Author: Ganaraj

ComfyUI custom node for TurboDiffusion I2V (Image-to-Video) generation with dual-expert sampling and SLA attention optimization.

VRAM Requirements

Direct Answer: The ComfyUI node comfyui-turbodiffusion requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)

Base VRAM:: 4096MB (4.0GB)
Recommended GPU:: 8GB+ VRAM
Low VRAM Mode:: ✗ Not supported
Estimation Confidence:: MEDIUM

🧮 Interactive VRAM Compatibility Estimator

1. Your GPU VRAM:

2. Base Model Weight:

3. Target Resolution:

4. ComfyUI Optimization launch argument:

Estimated Total VRAM: 3.00 GBTarget: 8 GB

✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

Python Dependencies

Direct Answer: Running comfyui-turbodiffusion requires installing the following Python package dependencies: einops, numpy>=1.24.0, pillow>=10.0.0, torch>=2.0.0, torchvision, tqdm>=4.65.0, triton; platform_system ==, triton-windows; platform_system ==. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt

einops
numpy>=1.24.0
pillow>=10.0.0
torch>=2.0.0
torchvision
tqdm>=4.65.0
triton; platform_system ==
triton-windows; platform_system ==

🛠️ Interactive Setup & Dependency Resolver

Operating System:

Environment Type:

Run this terminal command in your ComfyUI root folder:

# Loading command...

⚠️ Special Environment Requirements:

Requires PyTorch version 2.0.0+.

To update PyTorch for your selected setup, run:

# Loading PyTorch command...