Upload folder using huggingface_hub

embedders/chinese-hubert-base/hifigan-nsf/f0D48k.pth

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embedders/chinese-hubert-base/hifigan-nsf/f0G48k.pth

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+size 150735634

embedders/contentvec/sifigan/f0D48k.pth

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+size 285691018

embedders/contentvec/sifigan/f0G48k.pth

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+size 171331737

embedders/spin/sifigan/f0D48k.pth

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embedders/spin/sifigan/f0G48k.pth

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+size 171331342

upload.py

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+import os
+import time
+from pathlib import Path
+
+# 如果使用本地HF镜像，取消注释下面这行
+# os.environ["HF_ENDPOINT"] = "http://localhost:5564"
+os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
+
+from huggingface_hub import HfApi, logging
+
+# 配置
+REPO_ID = "PluginsKers/Convbased-Studio"  # 请修改为您的仓库ID
+REPO_TYPE = "model"
+COMMIT_MESSAGE = "Upload Convbased Studio models and assets"
+
+# 设置日志级别
+logging.set_verbosity_info()
+hf = HfApi()
+
+def upload_file_with_retry(file_path, repo_path, max_retries=3):
+    """带重试功能的文件上传"""
+    for attempt in range(max_retries):
+        try:
+            print(f"上传文件 {file_path} -> {repo_path} (尝试 {attempt + 1}/{max_retries})")
+            result = hf.upload_file(
+                path_or_fileobj=str(file_path),
+                path_in_repo=repo_path,
+                repo_id=REPO_ID,
+                repo_type=REPO_TYPE,
+                commit_message=f"{COMMIT_MESSAGE}: {repo_path}"
+            )
+            print(f"✅ 成功上传: {repo_path}")
+            return result
+        except Exception as e:
+            print(f"❌ 上传失败 (尝试 {attempt + 1}): {e}")
+            if attempt < max_retries - 1:
+                time.sleep(5)  # 等待5秒后重试
+            else:
+                print(f"❌ 文件 {file_path} 上传最终失败")
+                raise e
+
+def main():
+    """主上传函数"""
+    project_root = Path(".")
+    
+    print("🚀 开始上传 Convbased Studio 项目到 HuggingFace Hub")
+    print(f"📁 项目目录: {project_root.absolute()}")
+    print(f"🎯 目标仓库: {REPO_ID}")
+    print("-" * 50)
+    
+    # 要上传的文件列表
+    files_to_upload = []
+    
+    # 1. 添加 README.md
+    readme_path = project_root / "README.md"
+    if readme_path.exists():
+        files_to_upload.append((readme_path, "README.md"))
+    
+    # 2. 添加主模型压缩包
+    archive_path = project_root / "RVC1006Nvidia_Convbased_0611.7z"
+    if archive_path.exists():
+        files_to_upload.append((archive_path, "RVC1006Nvidia_Convbased_0611.7z"))
+    
+    # 3. 递归添加 embedders 目录下的所有文件
+    embedders_dir = project_root / "embedders"
+    if embedders_dir.exists():
+        for file_path in embedders_dir.rglob("*"):
+            if file_path.is_file():
+                # 计算相对路径
+                relative_path = file_path.relative_to(project_root)
+                files_to_upload.append((file_path, str(relative_path).replace("\\", "/")))
+    
+    # 4. 添加 assets 目录下的文件（如果存在）
+    assets_dir = project_root / "assets"
+    if assets_dir.exists():
+        for file_path in assets_dir.rglob("*"):
+            if file_path.is_file():
+                relative_path = file_path.relative_to(project_root)
+                files_to_upload.append((file_path, str(relative_path).replace("\\", "/")))
+    
+    print(f"📋 发现 {len(files_to_upload)} 个文件待上传:")
+    for i, (file_path, repo_path) in enumerate(files_to_upload, 1):
+        file_size = file_path.stat().st_size / (1024 * 1024)  # MB
+        print(f"  {i:2d}. {repo_path} ({file_size:.1f} MB)")
+    
+    print("-" * 50)
+    
+    # 按文件大小排序，先上传小文件
+    files_to_upload.sort(key=lambda x: x[0].stat().st_size)
+    
+    success_count = 0
+    failed_files = []
+    
+    for i, (file_path, repo_path) in enumerate(files_to_upload, 1):
+        try:
+            print(f"\n📤 [{i}/{len(files_to_upload)}] 上传文件...")
+            upload_file_with_retry(file_path, repo_path)
+            success_count += 1
+        except Exception as e:
+            failed_files.append((file_path, repo_path, str(e)))
+            print(f"❌ 跳过文件: {repo_path}")
+    
+    # 上传结果统计
+    print("\n" + "=" * 50)
+    print("📊 上传结果统计:")
+    print(f"✅ 成功上传: {success_count} 个文件")
+    print(f"❌ 失败文件: {len(failed_files)} 个文件")
+    
+    if failed_files:
+        print("\n❌ 失败文件列表:")
+        for file_path, repo_path, error in failed_files:
+            print(f"  - {repo_path}: {error}")
+    
+    if success_count > 0:
+        print(f"\n🎉 项目已成功上传到: https://huggingface.co/{REPO_ID}")
+    
+    print("=" * 50)
+
+if __name__ == "__main__":
+    # 检查是否需要修改仓库ID
+    if REPO_ID == "your-username/convbased-studio":
+        print("⚠️  请先修改脚本中的 REPO_ID 变量为您的实际仓库ID")
+        print("   例如: 'your-username/convbased-studio'")
+        input("   修改完成后按回车键继续...")
+    
+    try:
+        main()
+    except KeyboardInterrupt:
+        print("\n\n⏹️  用户中断上传")
+    except Exception as e:
+        print(f"\n\n💥 发生未预期的错误: {e}")