style: add ruff isort (#183)

scripts/server/check_status.py

 import requests
 from loguru import logger
 
-
 response = requests.get("http://localhost:8000/v1/service/status")
 logger.info(response.json())
 

scripts/server/post_enhancer.py

 import requests
 from loguru import logger
 
-
 url = "http://localhost:8000/v1/tasks/"
 
 message = {

scripts/server/post_multi_servers.py

-import requests
-from loguru import logger
 import random
 import string
-import time
 import threading
+import time
 from datetime import datetime
+
+import requests
+from loguru import logger
 from tqdm import tqdm
 
 

scripts/server/post_multi_servers_i2v.py

 from loguru import logger
 from post_multi_servers import get_available_urls, process_tasks_async
 
-
 if __name__ == "__main__":
     urls = [f"http://localhost:{port}" for port in range(8000, 8008)]
     img_prompts = {

scripts/server/post_multi_servers_t2v.py

 from loguru import logger
 from post_multi_servers import get_available_urls, process_tasks_async
 
-
 if __name__ == "__main__":
     urls = ["http://localhost:8000", "http://localhost:8001"]
     prompts = [

scripts/server/post_vbench_i2v.py

 import argparse
 import glob
 import os
+
 from loguru import logger
 from post_multi_servers import get_available_urls, process_tasks_async
 

scripts/server/stop_running_task.py

 import requests
 from loguru import logger
 
-
 response = requests.get("http://localhost:8000/v1/local/video/generate/stop_running_task")
 logger.info(response.json())

tools/convert/converter.py

-import os
-import re
+import argparse
 import gc
 import glob
 import json
-import argparse
+import os
+import re
 import shutil
+from collections import defaultdict
+
 import torch
-from safetensors import safe_open, torch as st
 from loguru import logger
-from tqdm import tqdm
-from collections import defaultdict
 from qtorch.quant import float_quantize
+from safetensors import safe_open
+from safetensors import torch as st
+from tqdm import tqdm
 
 
 def get_key_mapping_rules(direction, model_type):

tools/convert/trt_vae/convert_vae_trt_engine.py

-from pathlib import Path
-import os
 import argparse
+import os
+from pathlib import Path
 
 import torch
 from loguru import logger

tools/download_rife.py

 #!/usr/bin/env python3
 # coding: utf-8
 
+import argparse
 import os
+import shutil
 import sys
-import requests
 import zipfile
-import shutil
-import argparse
 from pathlib import Path
 
+import requests
+
 
 def get_base_dir():
     """Get project root directory"""

tools/extract/convert_vigen_to_x2v_lora.py

@@ -4,11 +4,11 @@
 ###
 ###  ViGen-DiT Project Url: https://github.com/yl-1993/ViGen-DiT
 ###
-import torch
-import sys
 import os
-from safetensors.torch import save_file
-from safetensors.torch import load_file
+import sys
+
+import torch
+from safetensors.torch import load_file, save_file
 
 if len(sys.argv) != 3:
     print("用法: python convert_lora.py <输入文件> <输出文件.safetensors>")

tools/extract/lora_extractor.py

@@ -6,11 +6,13 @@ Extract LoRA weights from the difference between two models
 """
 
 import argparse
-import torch
-from safetensors import safe_open, torch as st
 import os
 from pathlib import Path
-from typing import Dict, Any, Optional
+from typing import Any, Dict, Optional
+
+import torch
+from safetensors import safe_open
+from safetensors import torch as st
 from tqdm import tqdm
 
 

tools/extract/lora_merger.py

@@ -6,11 +6,13 @@ Merge a source model with LoRA weights to create a new model
 """
 
 import argparse
-import torch
-from safetensors import safe_open, torch as st
 import os
 from pathlib import Path
-from typing import Dict, Any, Optional
+from typing import Any, Dict, Optional
+
+import torch
+from safetensors import safe_open
+from safetensors import torch as st
 from tqdm import tqdm