Transform Your Videos into Anime-Style Masterpieces with Advanced AI Models

CN
ComfyUI.org
2025-04-03 10:10:15

Unlock AI-powered video stylization and generation with this workflow! Transform videos into anime-style sequences with customizable prompts and frame-to-frame consistency. Discover how to leverage WAN2.1 models and ComfyUI plugins to create stunning visuals.

Use Case
Video
Best For
Video
Models
Wan2.1
VRAM
Medium VRAM (12–16GB)
Reading Time
3 min
View Required ModelsMore Video Workflows

Workflow Overview

Unlock AI-powered video stylization and generation with this workflow! Transform videos into anime-style sequences with customizable prompts and frame-to-frame consistency. Discover how to leverage WAN2.1 models and ComfyUI plugins to create stunning visuals.

Content type: Workflow

Primary intent: Download

Required Models

  • Wan2.1

Setup Notes

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

1. Workflow Overview

m9171klwag0fc6zbqdw93dbf108f0ebe5a132c3f339d783763ddd6b8b95d58b4ff6236d50a70a21b167.png

This workflow specializes in AI-powered video stylization and generation, featuring:

  • Transforming input videos (e.g., dance.mp4) into anime-style sequences

  • Frame-to-frame consistency via WAN2.1 model series

  • Customizable prompts for character/background control

2. Core Models

Model Name

Function

wan2.1_t2v_1.3B_fp16

Base video generation model for motion prediction

umt5_xxl_fp16

Multilingual CLIP encoder (optimized for Chinese prompts)

wan_2.1_1.3b_vae

VAE for latent-image space conversion

3. Key Nodes

  • Video Input Group

    • VHS_LoadVideo: Frame loading (supports frame skipping)

    • ImageScale: Resizes to 832x480 (model-compatible resolution)

  • Prompt Control

    • Triple CLIPTextEncode: Processes positive/negative/target-style prompts

    • FluxGuidance: Dynamic conditioning strength (value=11 for high stylization)

  • Sampling & Generation

    • HYFlowEditSampler: Custom sampler (4th-order DPM++ Solver, seed=123478)

    • VAEDecodeTiled: Tile-based decoding (256x64 tiles)

  • Video Export

    • VHS_VideoCombine: Outputs MP4 (16fps, CRF19 compression)

4. Dependencies

  • Required Plugins:

    • ComfyUI-VideoHelperSuite

    • ComfyUI-HunyuanLoom (contains custom nodes like HYFlowEditGuiderCFG)

  • Model Sources:

5. Input Parameters

  • Mandatory:

    • Video file path (e.g., dance.mp4)

    • Positive prompt (see example for detailed anime-style description)

  • Tunable:

    • CFG Scale (default=7.5)

    • Frame rate (default=16fps)

6. Notes

⚠️ Requires 12GB+ VRAM (video batch processing)
⚠️ Initial run triggers model compilation (~2-5 mins)
⚠️ Outputs saved as hyloom_*.mp4 in ComfyUI/output/

FAQ