VideoX-Fun
VideoX-Fun is a video generation pipeline that can be used to generate AI images and videos, as well as to train baseline and Lora models for Diffusion Transformer. We support direct prediction from pre-trained baseline models to generate videos with different resolutions, durations, and FPS. Additionally, we also support users in training their own baseline and Lora models to perform specific style transformations.
VRAM Requirements
Direct Answer: The ComfyUI node VideoX-Fun 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.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- MEDIUM
🧮 Interactive VRAM Compatibility Estimator
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 Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
Python Dependencies
Direct Answer: Running VideoX-Fun requires installing the following Python package dependencies: accelerate>=0.25.0, albumentations, beautifulsoup4, datasets, decord, diffusers>=0.30.1, einops, ftfy, func_timeout, gradio>=3.41.2, imageio, imageio, librosa, numpy, omegaconf, onnxruntime, opencv-python, pillow, safetensors, scikit-image, sentencepiece, tensorboard, timm, tomesd, torch>=2.1.2, torchdiffeq, torchsde, transformers>=4.46.2. This node specifically requires PyTorch version 2.1.2 or newer.
accelerate>=0.25.0
albumentations
beautifulsoup4
datasets
decord
diffusers>=0.30.1
einops
ftfy
func_timeout
gradio>=3.41.2
imageio
imageio
librosa
numpy
omegaconf
onnxruntime
opencv-python
pillow
safetensors
scikit-image
sentencepiece
tensorboard
timm
tomesd
torch>=2.1.2
torchdiffeq
torchsde
transformers>=4.46.2🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.1.2+.
# Loading PyTorch command...