Harnessing AI Power: A Comprehensive Overview of the Hunyuan Video Model Workflow
1. Workflow Overview

This workflow leverages the Hunyuan Video Model to generate dynamic videos from image references and text prompts, ideal for ads, creative clips, and multi-scene synthesis.
2. Core Models
Main Model:
hunyuan_video_custom_720p_fp8_scaled.safetensorsFunction: Core video generation with frame interpolation and style transfer.
VAE Model:
hunyuan_video_vae_bf16.safetensorsFunction: Decodes latent video frames with enhanced details.
CLIP Models:
clip_l.safetensors+llava_llama3_fp8_scaled.safetensorsFunction: Multimodal text-image alignment for precise prompt control.
3. Key Nodes
HyVideoModelLoader
Role: Loads the Hunyuan model (supports
bf16/fp8precision).Installation: Requires ComfyUI-HunyuanVideoWrapper plugin.
HyVideoVAELoader
Role: Loads the video-optimized VAE.
HyVideoSampler
Role: Controls video params (resolution
832x480, FPS24, samplerFlowMatchDiscreteScheduler).
HyVideoEncode/Decode
Function: Encodes/decodes latent video frames with dynamic resolution.
VHS_VideoCombine
Role: Renders final video (MP4/H.264, CRF
19).Installation: Requires ComfyUI-VideoHelperSuite.
ImageConcatMulti
Role: Concatenates multiple images for multi-subject scenes.
4. Workflow Structure (Groups)
Parameter Group:
Sets resolution (e.g.,
896x512), prompts (e.g., "Realistic, High-quality. a women holde the bag"), and negative prompts.
Single-Subject Video Group:
Full pipeline: Model load → Text/Image conditioning → Sampling → Decoding → Rendering.
5. Inputs & Outputs
Inputs:
Reference images (supports transparency, e.g.,
RMBG-1.4background removal).Text prompts, resolution, frame count (default
85).
Output:
Video file (e.g.,
pl-custom_00001.mp4),H.264/MP4,24fps.
6. Notes
Dependencies:
Download Hunyuan models and plugins (HunyuanVideoWrapper, VideoHelperSuite).
Hardware:
GPU ≥16GB VRAM recommended. Use
bf16for speed/quality balance.
Troubleshooting:
Choppy video? Reduce resolution or frame count.
Blurry output? Check VAE decode params or prompt specificity.