""" K26 图生视频节点 """ import asyncio import json import os import re import aiohttp from ..utils.config import get_api_key_or_raise, get_api_base_url from ..utils.image_utils import tensor_to_pil, encode_image_to_base64 try: from comfy_api.latest import InputImpl import folder_paths _FOLDER_PATHS_OK = True except ImportError: _FOLDER_PATHS_OK = False # 模型基础名，运行时动态拼接完整名称 _MODEL_BASE = "kling-v2-6" # API 端点 _ENDPOINT_CREATE = "/v1/video/generations" _ENDPOINT_STATUS = "/v1/video/generations/{task_id}" _POLL_INIT = 3 _POLL_MAX = 15 def _get_video_dir() -> str: if _FOLDER_PATHS_OK: base = folder_paths.get_output_directory() else: plugin = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) base = os.path.join(os.path.dirname(os.path.dirname(plugin)), "output") d = os.path.join(base, "video") os.makedirs(d, exist_ok=True) return d def _next_counter(directory: str, prefix: str) -> int: pattern = re.compile(rf"^{re.escape(prefix)}_(\d+)") max_n = 0 if os.path.exists(directory): for f in os.listdir(directory): m = pattern.match(f) if m: max_n = max(max_n, int(m.group(1))) return max_n + 1 def _image_to_base64(tensor) -> str: pil = tensor_to_pil(tensor) return encode_image_to_base64(pil[0], format="PNG") class KVideo: """K26 图生视频节点""" @classmethod def INPUT_TYPES(cls): return { "required": { "起始帧": ("IMAGE",), "提示词": ("STRING", {"multiline": True, "default": ""}), "模式": (["pro"],), "时长": ([5, 10],), "生成音频": (["关闭", "打开"], {"default": "关闭"}), }, "optional": { "尾帧": ("IMAGE",), }, } RETURN_TYPES = ("VIDEO",) RETURN_NAMES = ("视频",) FUNCTION = "generate" CATEGORY = "comfyui_o1key/KVideo" async def generate(self, 起始帧, 提示词, 模式, 时长, 生成音频="关闭", 尾帧=None): api_key = get_api_key_or_raise() base_url = get_api_base_url() headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json", } # ── 动态拼接模型名 ──────────────────────────────────────────── voice = "voice" if 生成音频 == "打开" else "novoice" model_name = f"{_MODEL_BASE}-{模式}-{时长}s-{voice}" # ── 构建请求体 ──────────────────────────────────────────────── body = { "model": model_name, "prompt": 提示词.strip(), "image": _image_to_base64(起始帧), "mode": 模式, "duration": 时长, } if 生成音频 == "打开": body["generate_audio"] = True if 尾帧 is not None: body["metadata"] = {"image_tail": _image_to_base64(尾帧)} # ── 进度条 ──────────────────────────────────────────────────── try: from comfy.utils import ProgressBar pbar = ProgressBar(100) except Exception: pbar = None def _stage(s: str): if s == "submitting": print("[K26 图生视频] 提交中...") if pbar: pbar.update_absolute(0, 100) elif s.startswith("submitted:"): print(f"[K26 图生视频] 任务已提交 → {s.split(':', 1)[1]}") if pbar: pbar.update_absolute(5, 100) elif s == "downloading": print("[K26 图生视频] 下载视频...") if pbar: pbar.update_absolute(99, 100) elif s == "done": print("[K26 图生视频] 完成") if pbar: pbar.update_absolute(100, 100) def _progress(pct: int): if pbar: pbar.update_absolute(5 + int(pct * 0.94), 100) # ── 保存路径 ────────────────────────────────────────────────── video_dir = _get_video_dir() counter = _next_counter(video_dir, "k26") save_path = os.path.join(video_dir, f"k26_{counter:05d}.mp4") connector = aiohttp.TCPConnector(ssl=False, force_close=True) async with aiohttp.ClientSession(connector=connector) as session: # 1. 提交 _stage("submitting") create_url = f"{base_url}{_ENDPOINT_CREATE}" async with session.post(create_url, json=body, headers=headers) as resp: text = await resp.text() if resp.status != 200: try: err = json.loads(text) msg = err.get("error", {}).get("message") or err.get("message") or text except Exception: msg = text raise RuntimeError(f"K26 提交失败 ({resp.status}): {msg}") create_resp = json.loads(text) task_id = ( create_resp.get("task_id") or create_resp.get("id") or create_resp.get("data", {}).get("task_id") ) if not task_id: raise RuntimeError(f"API 未返回任务 ID，响应：{create_resp}") _stage(f"submitted:{task_id}") # 2. 轮询 status_url = f"{base_url}{_ENDPOINT_STATUS.format(task_id=task_id)}" interval = _POLL_INIT video_url = None while True: async with session.get(status_url, headers=headers) as resp: text = await resp.text() if resp.status != 200: try: err = json.loads(text) msg = err.get("error", {}).get("message") or err.get("message") or text except Exception: msg = text raise RuntimeError(f"状态查询失败 ({resp.status}): {msg}") sr = json.loads(text) data = sr.get("data", sr) status = (data.get("status") or sr.get("status") or "").lower() pct_raw = data.get("progress", 0) try: pct = int(str(pct_raw).rstrip("%").strip()) except (ValueError, AttributeError): pct = 0 print(f"[K26 图生视频] 生成中 {pct}%") _progress(pct) if status in ("success", "completed", "done", "finished", "succeed"): # 提取视频 URL video_url = ( data.get("video_url") or data.get("result_url") or data.get("url") or (data.get("result", {}) or {}).get("url") or sr.get("video_url") or sr.get("url") ) break if status in ("failed", "fail"): err_info = data.get("error") or sr.get("error") or {} err_msg = (err_info.get("message", "未知错误") if isinstance(err_info, dict) else str(err_info)) raise RuntimeError(f"K26 生成失败：{err_msg}") await asyncio.sleep(interval) interval = min(interval * 1.5, _POLL_MAX) if not video_url: raise RuntimeError(f"API 未返回视频 URL，响应：{sr}") # 3. 下载 _stage("downloading") async with session.get(video_url, allow_redirects=True) as resp: if resp.status != 200: raise RuntimeError(f"视频下载失败 ({resp.status})") os.makedirs(os.path.dirname(save_path), exist_ok=True) with open(save_path, "wb") as f: async for chunk in resp.content.iter_chunked(8192): f.write(chunk) _stage("done") if _FOLDER_PATHS_OK: return (InputImpl.VideoFromFile(save_path),) return (save_path,) NODE_CLASS_MAPPINGS = { "KVideo": KVideo, } NODE_DISPLAY_NAME_MAPPINGS = { "KVideo": "K26 图生视频", }