Add custom nodes, Civitai loras (LFS), and vast.ai setup script

Includes 30 custom nodes committed directly, 7 Civitai-exclusive
loras stored via Git LFS, and a setup script that installs all
dependencies and downloads HuggingFace-hosted models on vast.ai.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

custom_nodes/ComfyUI-Easy-Use/py/libs/chooser.py

@@ -0,0 +1,153 @@
+from threading import Event
+
+import torch
+
+from server import PromptServer
+from aiohttp import web
+from comfy import model_management as mm
+from comfy_execution.graph import ExecutionBlocker
+import time
+
+class ChooserCancelled(Exception):
+    pass
+
+def get_chooser_cache():
+    """获取选择器缓存"""
+    if not hasattr(PromptServer.instance, '_easyuse_chooser_node'):
+        PromptServer.instance._easyuse_chooser_node = {}
+    return PromptServer.instance._easyuse_chooser_node
+
+def cleanup_session_data(node_id):
+    """清理会话数据"""
+    node_data = get_chooser_cache()
+    if node_id in node_data:
+        session_keys = ["event", "selected", "images", "total_count", "cancelled"]
+        for key in session_keys:
+            if key in node_data[node_id]:
+                del node_data[node_id][key]
+
+def wait_for_chooser(id, images, mode, period=0.1):
+    try:
+        node_data = get_chooser_cache()
+        images = [images[i:i + 1, ...] for i in range(images.shape[0])]
+        if mode == "Keep Last Selection":
+            if id in node_data and "last_selection" in node_data[id]:
+                last_selection = node_data[id]["last_selection"]
+                if last_selection and len(last_selection) > 0:
+                    valid_indices = [idx for idx in last_selection if 0 <= idx < len(images)]
+                    if valid_indices:
+                        try:
+                            PromptServer.instance.send_sync("easyuse-image-keep-selection", {
+                                "id": id,
+                                "selected": valid_indices
+                            })
+                        except Exception as e:
+                            pass
+                        cleanup_session_data(id)
+                        indices_str = ','.join(str(i) for i in valid_indices)
+                        images = [images[idx] for idx in valid_indices]
+                        images = torch.cat(images, dim=0)
+                        return {"result": (images,)}
+
+        if id in node_data:
+            del node_data[id]
+
+        event = Event()
+        node_data[id] = {
+            "event": event,
+            "images": images,
+            "selected": None,
+            "total_count": len(images),
+            "cancelled": False,
+        }
+
+        while id in node_data:
+            node_info = node_data[id]
+            if node_info.get("cancelled", False):
+                cleanup_session_data(id)
+                raise ChooserCancelled("Manual selection cancelled")
+
+            if "selected" in node_info and node_info["selected"] is not None:
+                break
+
+            time.sleep(period)
+
+        if id in node_data:
+            node_info = node_data[id]
+            selected_indices = node_info.get("selected")
+
+            if selected_indices is not None and len(selected_indices) > 0:
+                valid_indices = [idx for idx in selected_indices if 0 <= idx < len(images)]
+                if valid_indices:
+                    selected_images = [images[idx] for idx in valid_indices]
+
+                    if id not in node_data:
+                        node_data[id] = {}
+                    node_data[id]["last_selection"] = valid_indices
+                    cleanup_session_data(id)
+                    selected_images = torch.cat(selected_images, dim=0)
+                    return {"result": (selected_images,)}
+                else:
+                    cleanup_session_data(id)
+                    return {"result": (images[0] if len(images) > 0 else ExecutionBlocker(None),)}
+            else:
+                cleanup_session_data(id)
+                return {
+                    "result": (images[0] if len(images) > 0 else ExecutionBlocker(None),)}
+        else:
+            return {"result": (images[0] if len(images) > 0 else ExecutionBlocker(None),)}
+
+    except ChooserCancelled:
+        raise mm.InterruptProcessingException()
+    except Exception as e:
+        node_data = get_chooser_cache()
+        if id in node_data:
+            cleanup_session_data(id)
+        if 'image_list' in locals() and len(images) > 0:
+            return {"result": (images[0])}
+        else:
+            return {"result": (ExecutionBlocker(None),)}
+
+
+@PromptServer.instance.routes.post('/easyuse/image_chooser_message')
+async def handle_image_selection(request):
+    try:
+        data = await request.json()
+        node_id = data.get("node_id")
+        selected = data.get("selected", [])
+        action = data.get("action")
+
+        node_data = get_chooser_cache()
+
+        if node_id not in node_data:
+            return web.json_response({"code": -1, "error": "Node data does not exist"})
+
+        try:
+            node_info = node_data[node_id]
+
+            if "total_count" not in node_info:
+                return web.json_response({"code": -1, "error": "The node has been processed"})
+
+            if action == "cancel":
+                node_info["cancelled"] = True
+                node_info["selected"] = []
+            elif action == "select" and isinstance(selected, list):
+                valid_indices = [idx for idx in selected if isinstance(idx, int) and 0 <= idx < node_info["total_count"]]
+                if valid_indices:
+                    node_info["selected"] = valid_indices
+                    node_info["cancelled"] = False
+                else:
+                    return web.json_response({"code": -1, "error": "Invalid Selection Index"})
+            else:
+                return web.json_response({"code": -1, "error": "Invalid operation"})
+
+            node_info["event"].set()
+            return web.json_response({"code": 1})
+
+        except Exception as e:
+            if node_id in node_data and "event" in node_data[node_id]:
+                node_data[node_id]["event"].set()
+            return web.json_response({"code": -1, "message": "Processing Failed"})
+
+    except Exception as e:
+        return web.json_response({"code": -1, "message": "Request Failed"})