The frontier of AI-driven video generation has expanded with Hunyuan Image-to-Video (I2V), now accessible through ComfyUI. This guide explores how to leverage its capabilities for creating dynamic videos from static images, with a focus on technical setup and efficient workflows.
Streamlined Model Management
Hunyuan I2V requires specific models to function optimally. For users seeking a preconfigured environment, cloud platforms like MimicPC offer these models preinstalled, eliminating manual setup:
- Core Model: hunyuan_video_t2v_720p_bf16.safetensors
- Text Encoders: clip_l.safetensors + llava_llama3_fp8_scaled.safetensors
- 3D VAE: hunyuan_video_vae_bf16.safetensors
https://docs.comfy.org/advanced/hunyuan-video
In MimicPC, models are automatically organized within ComfyUI, bypassing local storage requirements.
Hunyuan image2video Workflow
Hardware Considerations
Hunyuan I2V demands significant GPU resources for 720p generation:
- Minimum VRAM: 45GB (e.g., NVIDIA A100)
- Tested Configuration:GPU: NVIDIA L40S (48GB VRAM)Generation Time: 76 seconds for 24-frame HD video
Workflow Walkthrough
- Image InputUpload any image (JPEG/PNG) to ComfyUI. The system auto-crops to prioritize focal points.
- Prompt DesignUse concise descriptions (1-5 keywords). Example:"Gentle waves, sunset glow""Cyberpunk city, neon rain"
- Generation ParametersResolution: 1280x720 (default)Frames: 24-50Sampling Steps: 20-40
Technical Highlights
- Multimodal FusionLLaVA-LLaMA3 text encoders align prompts with image semantics, reducing prompt engineering needs.
- Efficient InferenceBF16 precision balances speed (30% faster than FP32) and detail preservation.
- Temporal ConsistencyPatented frame interpolation ensures smooth transitions between scenes.
- Use llava_llama3_fp8_scaled.safetensors (18GB VRAM) with slight quality tradeoffs.
Data-driven creativity meets technical innovation—redefine your video creation pipeline today.