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Unlock Anime-Style Video Magic: A Step-by-Step WAN2.1 Workflow Guide

CN
ComfyUI.org
2025-03-27 12:24:49

Generate Anime-Style Videos with WAN2.1 Model: Learn how to convert input videos to anime style with dynamic prompts, HunyuanLoom technology, and outputs 16fps MP4 videos. Try this workflow now!

Use Case
Video
Best For
Video
Models
Wan2.1
VRAM
Low VRAM (≤8GB)
Reading Time
3 min
View Required ModelsMore Video Workflows

Workflow Overview

Generate Anime-Style Videos with WAN2.1 Model: Learn how to convert input videos to anime style with dynamic prompts, HunyuanLoom technology, and outputs 16fps MP4 videos. Try this workflow now!

Content type: Workflow

Primary intent: Download

Required Models

  • Wan2.1

Setup Notes

  • Install the required models before opening the workflow template.
  • Recommended hardware: Low VRAM (≤8GB).
  • Use the download button above to import the workflow JSON into ComfyUI.

1. Workflow Overview

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This is an anime-style video generation workflow based on WAN2.1 model (DaKai optimized), featuring:

  • Convert input video (e.g., dance.mp4) to anime style

  • Dynamic prompts for character details (19yo Chinese schoolgirl dancing)

  • HunyuanLoom technology for motion coherence

  • Outputs 16fps MP4 video (H.264 encoded)

2. Core Models

Model Name

Description

wan2.1_t2v_1.3B_fp16

Main video generation model (1.3B params)

umt5_xxl_fp16

Multilingual CLIP text encoder

wan_2.1_1.3b_vae

Lightweight VAE for color accuracy

3. Key Components

Special Nodes:

  • VHS_LoadVideo: Frame extraction (skips 120 frames, keeps 81)

  • HYFlowEditGuiderCFG: Dynamic CFG guidance (CFG=7.5)

  • SamplerCustomAdvanced: Advanced sampler (16 steps, simple scheduler)

  • VAEDecodeTiled: Tiled decoding (512x512 tiles, 64px overlap)

Installation:

  1. Video Helper Suite: Install via ComfyUI Manager

  2. HunyuanLoom: Manual install from GitHub

  3. WAN2.1 Models: Download separately to models folder

4. Workflow Structure

Group 1: Load Models

  • Load UNET/CLIP/VAE (wan2.1_t2v_1.3B_fp16 + umt5_xxl_fp16)

  • Apply ApplyTeaCachePatch (strength=0.1) for acceleration

Group 2: Prompts

  • Positive Prompt: Detailed character/scene description (amber eyes, JK uniform, beach sunset)

  • Negative Prompt: 60+ filters for realism/low-quality

  • FluxGuidance boosts prompt weights

Group 3: Video Input

  • Resize input to 832x480 (nearest-exact)

  • Tiled VAE encoding

Group 4: Sampling & Output

  • Generate latent with HYFlowEditSampler (seed=123478)

  • Tiled decode + video render (CRF=19, yuv420p)

5. Inputs & Outputs

Inputs:

  • Video file (default: dance.mp4)

  • Pre-configured prompts

  • Frame rate (16fps)

Outputs:

  • MP4 video (e.g., hyloom_00003.mp4)

  • Optional intermediate frames

6. Notes

  • VRAM: 16GB+ recommended (1.3B model is VRAM-heavy)

  • Video Specs: Input ≥1280x720, ≤30sec duration

  • Motion Tuning: Adjust motion_coherence in HYFlowEditGuiderCFG if flickering occurs

  • Common Error: Missing umt5_xxl_fp16 breaks CLIP encoding

FAQ

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