Unlock Animated Wing Effects with WAN2.1: A Step-by-Step Workflow

CN
ComfyUI.org
2025-04-28 07:45:39

Unlock animated wing effects in your videos with our I2V workflow, leveraging WAN2.1 model for stunning results. Learn how to generate HD videos with ease!

Use Case
Video
Best For
Video
VRAM
Medium VRAM (12–16GB)
Reading Time
4 min
View Required ModelsMore Video Workflows

Workflow Overview

Unlock animated wing effects in your videos with our I2V workflow, leveraging WAN2.1 model for stunning results. Learn how to generate HD videos with ease!

Content type: Workflow

Primary intent: Download

Required Models

  • Wan2.1
  • Lora

Setup Notes

  • Install the required models before opening the workflow template.
  • Recommended hardware: Medium VRAM (12–16GB).

1. Workflow Overview

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This workflow leverages WAN2.1 model for Image-to-Video (I2V) generation, specializing in adding animated wing effects to static images. It processes inputs through text encoding, image embedding, video sampling, and optional frame interpolation to output HD videos. Ideal for character animation and short video production.


2. Core Models

Model Name

Function

Installation

Wan2_1-I2V-14B-720P

Main model for temporal video generation

Download .safetensors to models/wan_video

umt5-xxl-enc-bf16

Text encoder for multilingual prompts

Manual download to models/t5

WAN2.1 ZOEY Wings LoRA

Adds glowing wing animations

Place in models/lora

GIMMVFI Interpolation

Frame interpolation (optional)

Install via ComfyUI Manager


3. Key Nodes

Node Name

Function

Installation

WanVideoImageClipEncode

Encodes input image to latent features

Built-in (requires ComfyUI-WanVideoWrapper)

WanVideoSampler

Controls video sampling steps (20 steps)

Same as above

GIMMVFI_interpolate

Frame interpolation (disabled by default)

Requires Video Helper Suite

VHS_VideoCombine

Video rendering & export

Same as above


4. Workflow Structure

  • Group 1: Text & Image Encoding

    • Inputs: Positive prompt (e.g., "red glowing wings"), negative prompt (e.g., "blurry"), source image (720x480).

    • Outputs: CLIP image embeds + T5 text embeds.

  • Group 2: Video Generation

    • Inputs: Seed 378521426092274, sampler (DPM++, 20 steps).

    • Outputs: Raw video (16FPS).

  • Group 3: Post-Processing (Interpolation) (Optional)

    • Inputs: Raw video + GIMMVFI model.

    • Outputs: Interpolated video (30FPS).


5. Inputs & Outputs

  • Required Inputs:

    • Image: PNG, recommended resolution ≥720P.

    • Prompts: Supports Chinese/English (e.g., "chibang, glowing wings").

  • Output:

    • Video: MP4 (H.264, 16FPS default, 30FPS interpolated).


6. Notes

⚠️ Common Issues:

  • VRAM Overflow: Use GPU with ≥12GB VRAM or reduce resolution to 480x270.

  • LoRA Load Fail: Verify filename WAN2.1 ZOEY 光翼翅膀_Alpha.safetensors.

  • Interpolation Lag: Disable GIMMVFI node if unnecessary.

🔧 Optimization Tips:

  • Use bf16 precision for lower VRAM (if supported).

  • Disable redundant options in ExperimentalArgs.


FAQ