Current Audio-driven human animation faces have three critical problems like- maintaining character consistency in dynamic videos, achieving precise emotion alignment between audio and visuals, and enabling multi-character dialogue scenes. HunyuanVideo-Avatar delivers dynamic, emotionally accurate, multi-character dialogue videos that solve these exact challenges through advanced multimodal diffusion architecture.
This is applicable in wide platforms like Online-Gaming Streaming, E-Commerce product promotion, social media video generation, Video editing etc.
Tencent's research team identified that traditional methods fail due to condition mismatches between training and inference, poor emotional transfer mechanisms, and inability to handle multiple characters independently. You can access their findings on their research paper.
This breakthrough represents a significant leap forward in audio-driven animation. By addressing the fundamental issues that plagued previous methods, HunyuanVideo-Avatar doesn't just incrementally improve existing technology and it redefines what's possible in realistic avatar generation for dynamic, immersive scenarios.
Installation:
1. You need to have
ComfyUI installed on your system. If done already , then update it from the Manager to avoid any errors.
The minimum GPU memory required is 24GB with 96 GB system ram for video generation having 704px768px129 resolution. You can use quantized GGUF variant if your VRAM and system ram is not supported.
2. Move inside "ComfyUI/custom_nodes" folder. Now, install HunyuanVideo Avatar custom nodes using the following command:
git clone https://github.com/Yuan-ManX/ComfyUI-HunyuanVideo-Avatar.git
3. Install the required dependencies:
cd ComfyUI-HunyuanVideo-Avatar
pip install -r requirements.txt
4. Download hunyuanvideo avatar from Hugging Face repository.
python -m pip install "huggingface_hub[cli]"
cd HunyuanVideo-Avatar/weights
huggingface-cli download tencent/HunyuanVideo-Avatar --local-dir ./
All the models and files get automatically stored into "ComfyUI/models/HunyuanVideo-Avatar/weights" folder. This takes a lot of time as the model sizes are huge.
5. Restart ComfyUI to take effect.
Quantized variant:
You can use the quantized GGUF variant of HunyuanVideo Avatar if your VRAM is not supported.
2. Download any of the
HunyuanVideo avatar GGUF model (ranges from Q2 to Q8) from Hugging face and save the model into "
ComfyUI/models/unet" folder. Clip vision into "
ComfyUI/models/clip_vision", Text encoder into "
ComfyUI/models/text_encoders" and VAE into "
ComfyUI/models/vae" folder.
Here, relative and detailed prompting is more important. For multi character you need to prompt accordingly and it will detect automatically.
