From aeb3e5149368fbeff5f70e370a2c7314d8f16e63 Mon Sep 17 00:00:00 2001
From: AI Lab <129358391+1038lab@users.noreply.github.com>
Date: Wed, 26 Aug 2026 14:23:17 -0700
Subject: [PATCH] Delete AILab_HuggingFace_Downloader.py

---
 AILab_HuggingFace_Downloader.py | 72 ---------------------------------
 1 file changed, 72 deletions(-)
 delete mode 100644 AILab_HuggingFace_Downloader.py

diff --git a/AILab_HuggingFace_Downloader.py b/AILab_HuggingFace_Downloader.py
deleted file mode 100644
index 10da38d..0000000
--- a/AILab_HuggingFace_Downloader.py
+++ /dev/null
@@ -1,72 +0,0 @@
-import os
-import folder_paths
-from pathlib import Path
-from huggingface_hub import hf_hub_download, snapshot_download
-
-class AILab_HuggingFaceDownloader:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "repo_id": ("STRING", {"default": "Qwen/Qwen1.5-0.5B-Chat-GGUF", "tooltip": "HuggingFace Repo ID (e.g., Qwen/Qwen1.5-0.5B-Chat-GGUF)"}),
-                "filename": ("STRING", {"default": "qwen1_5-0_5b-chat-q4_k_m.gguf", "tooltip": "Specific filename to download. Leave empty to download the entire repository."}),
-                "save_folder": (["LLM/GGUF", "LLM/hf", "checkpoints", "loras"], {"default": "LLM/GGUF", "tooltip": "Which ComfyUI models folder to save to."}),
-            }
-        }
-
-    RETURN_TYPES = ("STRING",)
-    RETURN_NAMES = ("downloaded_path",)
-    FUNCTION = "download_model"
-    CATEGORY = "🧪AILab/QwenVL"
-
-    def download_model(self, repo_id, filename, save_folder):
-        base_models_dir = Path(folder_paths.models_dir)
-        target_dir = base_models_dir / save_folder
-        
-        # We put the downloaded model in a subfolder named after the repo to avoid clutter
-        repo_parts = repo_id.split("/")
-        author = repo_parts[0] if len(repo_parts) > 1 else "custom"
-        repo_name = repo_parts[-1]
-        
-        final_dir = target_dir / author / repo_name
-        final_dir.mkdir(parents=True, exist_ok=True)
-        
-        print(f"[AILab Downloader] Starting download from {repo_id} to {final_dir}")
-        
-        try:
-            if filename.strip():
-                # Download a single file
-                downloaded_path = hf_hub_download(
-                    repo_id=repo_id,
-                    filename=filename.strip(),
-                    repo_type="model",
-                    local_dir=str(final_dir),
-                    local_dir_use_symlinks=False,
-                )
-                print(f"[AILab Downloader] Successfully downloaded file to: {downloaded_path}")
-                return (str(downloaded_path),)
-            else:
-                # Download the entire repo (Warning: can be very large)
-                downloaded_path = snapshot_download(
-                    repo_id=repo_id,
-                    repo_type="model",
-                    local_dir=str(final_dir),
-                    local_dir_use_symlinks=False,
-                    ignore_patterns=["*.msgpack", "*.h5", "coreml/*"],
-                )
-                print(f"[AILab Downloader] Successfully downloaded repo to: {downloaded_path}")
-                return (str(downloaded_path),)
-                
-        except Exception as e:
-            error_msg = f"Download failed: {str(e)}"
-            print(f"[AILab Downloader] {error_msg}")
-            return (error_msg,)
-
-
-NODE_CLASS_MAPPINGS = {
-    "AILab_HuggingFaceDownloader": AILab_HuggingFaceDownloader
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "AILab_HuggingFaceDownloader": "QwenVL HuggingFace Downloader 📥"
-}