Unleash Dynamic Videos with Angry Facial Expressions: A Step-by-Step Workflow
Unlock dynamic video creation with angry facial expressions from a single image using Image-to-Video tech. Discover the workflow, key models, and nodes for stunning film VFX, game animation, and short content. Learn how to create captivating visuals now!
Workflow Overview
Unlock dynamic video creation with angry facial expressions from a single image using Image-to-Video tech. Discover the workflow, key models, and nodes for stunning film VFX, game animation, and short content. Learn how to create captivating visuals now!
Content type: Workflow
Primary intent: Download
Required Models
- Lora
Required Nodes
- Upscaler
Setup Notes
- Install the required models before opening the workflow template.
- Recommended hardware: Medium VRAM (12–16GB).
1. Workflow Overview
This workflow generates dynamic videos with angry facial expressions from a single image, leveraging Image-to-Video (I2V) technology. Key features:
Transforms input images (e.g., portrait photos) into videos with emotion transitions.
Uses WanVideo 2.1 model + LoRA (
Angry Expression｜i2V_v1) for enhanced details.Applies 2x upscaling for higher resolution.
Use Case: Film VFX, game character animation, short video content.
2. Core Models
Model Name | Function | Source/Installation |
|---|---|---|
WanVideo 2.1-I2V | Image-to-video generation (480P) | Requires |
Angry Expression LoRA | Fine-tunes facial details | Manual install to |
2xNomosUni Upscaler | 2x resolution enhancement | Load via |
3. Key Nodes
Node Name | Functionality | Installation |
|---|---|---|
| Encodes images to latent features | Built-in |
| Controls video sampling (20 steps, UniPC) | Built-in |
| Auto-generates captions (requires Llama-3.1) | Manual plugin install |
Dependencies:
Plugin
ComfyUI-WanVideoWrapper(GitHub)Model
Wan2_1-I2V-14B-480P_fp8_e4m3fn.safetensorsLlama model
unsloth/Meta-Llama-3.1-8B-bnb-4bit
4. Workflow Groups
Group 1: Model Loading
Nodes:
WanVideoModelLoader+WanVideoVAELoaderLoads main model, VAE, and LoRA.
Group 2: Image Encoding
Nodes:
LoadImage→Joy_caption→WanVideoTextEncodeInput: Portrait image (e.g., "Vol.2野蛮学姐").
Dynamic prompt:
"acial expression abruptly changes to angry face".
Group 3: Video Generation
Nodes:
WanVideoSampler→VHS_VideoCombineOutput: 480P → 2x upscaled MP4 (CRF=19).
5. Inputs & Outputs
Inputs:
Character image (1024x1024 recommended).
Negative prompt:
"static, blurry, bad quality".Frame rate: 16fps (81 frames ≈5s).
Output:
Upscaled MP4 (filename prefix
wangyi AI Studio-wan).
6. Notes
⚠️ VRAM: Minimum 12GB (Llama model required).
⚠️ Troubleshooting:
Unnatural expressions → Adjust CFG (current: 6.0, try 4.0-8.0).
Upscale OOM → Disable
PurgeVRAMor switch to 1x model.
⚠️ Tips:Use
WanVideoTeaCache(enabled withoffload_device).Input images: Close-up portraits work best.
Demo Steps
Replace
LoadImagewith your character design.Tweak negative prompts in
WanVideoTextEncode.Run
Queue Prompt. Output saves toComfyUI/output.