0円で爆速マスター！Wan2.2で始める神動画作成術～Wan2.2の5Bモデルインストール編

git --version

mkdir C:\comfyui\extensions
cd C:\comfyui\extensions
git clone https://github.com/Wan-Video/Wan2.2.git
cd Wan2.2

python -m pip install numpy==1.26.4

cd C:\comfyui\extensions\Wan2.2
findstr /V "flash_attn" requirements.txt > requirements_no_flash.txt
python -m pip install --upgrade pip wheel setuptools
python -m pip install -r requirements_no_flash.txt

C:\comfyui\
 ├─ models\
 │   ├─ diffusion_models\
 │   │    └─ wan2.2_ti2v_5B_fp16.safetensors
 │   ├─ vae\
 │   │    └─ wan2.2_vae.safetensors
 │   └─ text_encoders\
 │        └─ umt5_xxl_fp8_e4m3fn_scaled.safetensors
 └─ extensions\
      └─ Wan2.2\

from huggingface_hub import hf_hub_download
import shutil
import os

# =====================================
# Hugging Face のアクセストークン
# =====================================
HUGGINGFACE_TOKEN = "YOUR_HUGGINGFACE_TOKEN_HERE"

# 保存先フォルダ
paths = {
    "diffusion": "C:/comfyui/models/diffusion_models",
    "vae": "C:/comfyui/models/vae",
    "text_encoders": "C:/comfyui/models/text_encoders"
}

# 保存先フォルダを作成（存在しない場合）
for p in paths.values():
    os.makedirs(p, exist_ok=True)

# =====================================
# 1. 拡散モデル (3分割ファイル)
# =====================================
filenames = [
    "diffusion_pytorch_model-00001-of-00003.safetensors",
    "diffusion_pytorch_model-00002-of-00003.safetensors",
    "diffusion_pytorch_model-00003-of-00003.safetensors",
]

for filename in filenames:
    print(f"Downloading {filename} ...")
    diffusion_file = hf_hub_download(
        repo_id="Wan-AI/Wan2.2-TI2V-5B",
        filename=filename,
        token=HUGGINGFACE_TOKEN
    )
    shutil.copy(diffusion_file, paths["diffusion"])

# =====================================
# 2. VAE
# =====================================
print("Downloading Wan2.2_VAE.pth …")
vae_file = hf_hub_download(
    repo_id="Wan-AI/Wan2.2-TI2V-5B",
    filename="Wan2.2_VAE.pth",
    token=HUGGINGFACE_TOKEN
)
shutil.copy(vae_file, paths["vae"])

# =====================================
# 3. テキストエンコーダ
# =====================================
print("Downloading models_t5_umt5-xxl-enc-bf16.pth …")
textenc_file = hf_hub_download(
    repo_id="Wan-AI/Wan2.2-TI2V-5B",
    filename="models_t5_umt5-xxl-enc-bf16.pth",
    token=HUGGINGFACE_TOKEN
)
shutil.copy(textenc_file, paths["text_encoders"])

print("Wan2.2 5B モデルのダウンロードと配置が完了しました。")

conda activate PyTorch
pip install huggingface_hub
pip install safetensors

cd C:\comfyui
python download_wan2_2.py

C:\comfyui\templates

mkdir C:\comfyui\templates

{
  "name": "Wan2.2 5B",
  "description": "Wan2.2 5Bモデルを使ったテキストからビデオ生成ワークフロー",
  "workflow": {
    "nodes": [
      {
        "id": 1,
        "type": "ModelLoader",
        "inputs": {
          "ckpt_name": "wan2.2_ti2v_5B_fp16.safetensors"
        }
      },
      {
        "id": 2,
        "type": "VAELoader",
        "inputs": {
          "vae_name": "wan2.2_vae.safetensors"
        }
      },
      {
        "id": 3,
        "type": "TextEncoderLoader",
        "inputs": {
          "encoder_name": "umt5_xxl_fp8_e4m3fn_scaled.safetensors"
        }
      },
      {
        "id": 4,
        "type": "TextToVideo",
        "inputs": {
          "text": "A cat running in the park",
          "width": 512,
          "height": 512,
          "num_frames": 16
        }
      }
    ],
    "connections": [
      { "from": [1, "MODEL"], "to": [4, "MODEL"] },
      { "from": [2, "VAE"], "to": [4, "VAE"] },
      { "from": [3, "TEXT_ENCODER"], "to": [4, "TEXT_ENCODER"] }
    ]
  }
}

mkdir C:\comfyui\extensions
cd C:\comfyui\extensions
git clone https://github.com/Wan-Video/Wan2.2.git
cd Wan2.2

python -m pip install numpy==1.26.4

cd C:\comfyui\extensions\Wan2.2
findstr /V "flash_attn" requirements.txt > requirements_no_flash.txt
python -m pip install --upgrade pip wheel setuptools
python -m pip install -r requirements_no_flash.txt

cd C:\comfyui
python download_wan2_2.py

mkdir C:\comfyui\templates

conda activate PyTorch
cd C:\comfyui
python main.py

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