ComfyUI_HelloMeme
This repository is the official implementation of the [a/HelloMeme](https://arxiv.org/pdf/2410.22901) ComfyUI interface, featuring both image and video generation functionalities. Example workflow files can be found in the ComfyUI_HelloMeme/workflows directory. Test images and videos are saved in the ComfyUI_HelloMeme/examples directory. Below are screenshots of the interfaces for image and video generation. NOTE: 'HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models'
How much VRAM does ComfyUI_HelloMeme require?
Direct Answer: The ComfyUI node ComfyUI_HelloMeme 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!
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What Python packages are required for ComfyUI_HelloMeme?
Direct Answer: Running ComfyUI_HelloMeme requires installing the following Python package dependencies: accelerate>=1.1.1, diffusers>=0.33.1, einops>=0.8.0, huggingface-hub>=0.30.2, imageio>=2.36.0, imageio-ffmpeg>=0.5.1, modelscope>=1.21.0, onnxruntime>=1.14.0, opencv-python>=4.10.0.84, peft>=0.15.2, pillow>=10.2.0, safetensors>=0.4.5, scikit-image>=0.25.2, torchvision>=0.18.0, tqdm>=4.67.0, transformers>=4.46.3. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=1.1.1
diffusers>=0.33.1
einops>=0.8.0
huggingface-hub>=0.30.2
imageio>=2.36.0
imageio-ffmpeg>=0.5.1
modelscope>=1.21.0
onnxruntime>=1.14.0
opencv-python>=4.10.0.84
peft>=0.15.2
pillow>=10.2.0
safetensors>=0.4.5
scikit-image>=0.25.2
torchvision>=0.18.0
tqdm>=4.67.0
transformers>=4.46.3Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI_HelloMeme require?
ComfyUI_HelloMeme requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run ComfyUI_HelloMeme on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom
What PyTorch version does ComfyUI_HelloMeme need?
ComfyUI_HelloMeme requires the following PyTorch-related packages: torchvision>=0.18.0. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for ComfyUI_HelloMeme?
To run ComfyUI_HelloMeme, you need to install: accelerate>=1.1.1, diffusers>=0.33.1, einops>=0.8.0, huggingface-hub>=0.30.2, imageio>=2.36.0, imageio-ffmpeg>=0.5.1, modelscope>=1.21.0, onnxruntime>=1.14.0, opencv-python>=4.10.0.84, peft>=0.15.2, pillow>=10.2.0, safetensors>=0.4.5, scikit-image>=0.25.2, torchvision>=0.18.0, tqdm>=4.67.0, transformers>=4.46.3. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI_HelloMeme in ComfyUI?
To install ComfyUI_HelloMeme: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/HelloVision/ComfyUI_HelloMeme, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.