feat: 新增 K26 图生视频节点

- 新增 nodes/K_video.py，节点显示名称「K26 图生视频」
- 支持起始帧（必填）、尾帧（可选）图片输入
- 参数：提示词、模式(pro)、时长(5/10s)、生成音频(关闭/打开)
- 模型名按规则动态拼接：kling-v2-6-{mode}-{dur}s-{voice}
- 尾帧有输入时通过 metadata.image_tail 传参
- 走三段式流程：提交 → 轮询 → 下载，带进度条
- 注册至 NODE_CLASS_MAPPINGS / NODE_DISPLAY_NAME_MAPPINGS

__init__.py

@@ -21,7 +21,7 @@ except Exception:
 
 import ssl
 
-from .nodes import NanoBananaPro, BatchNanoBananaPro, GoogleGemini, LoadFile, ImageStitchPro, SaveCleanImage, BatchCleanMetadata, VideoPreview, GoogleVeo, FluxImageEdit, UniversalLLMChat, KlingVideo, KlingFirstLastFrame, KlingMotionControlTest, AspectRatioPreset, MultiResPreview, BatchImagesO1key, Seedance, SeedanceMultiModal, StreamPreview, DoubaoImage, O1keyGPTImage
+from .nodes import NanoBananaPro, BatchNanoBananaPro, GoogleGemini, LoadFile, ImageStitchPro, SaveCleanImage, BatchCleanMetadata, VideoPreview, GoogleVeo, FluxImageEdit, UniversalLLMChat, KlingVideo, KlingFirstLastFrame, KlingMotionControlTest, AspectRatioPreset, MultiResPreview, BatchImagesO1key, Seedance, SeedanceMultiModal, StreamPreview, DoubaoImage, O1keyGPTImage, KVideo
 
 # 报错弹框友好文案（不修改原节点代码，仅在外层统一处理）
 _MSG_TIMEOUT = "API 请求超时，请稍后重试或检查网络。"
@@ -80,6 +80,7 @@ NODE_CLASS_MAPPINGS = {
     "StreamPreview": StreamPreview,
     "DoubaoImage": DoubaoImage,
     "O1keyGPTImage": O1keyGPTImage,
+    "KVideo": KVideo,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
@@ -105,6 +106,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "StreamPreview": "流式文本预览",
     "DoubaoImage": "豆包生图",
     "O1keyGPTImage": "o1key GPT Image",
+    "KVideo": "K26 图生视频",
 }
 
 WEB_DIRECTORY = "./web"

nodes/K_video.py

@@ -0,0 +1,237 @@
+"""
+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",
+}

nodes/__init__.py

@@ -20,5 +20,6 @@ from .batch_images_o1key import BatchImagesO1key
 from .seedance_video import Seedance, SeedanceMultiModal
 from .doubao_image import DoubaoImage
 from .gpt_image import O1keyGPTImage
+from .K_video import KVideo
 
-__all__ = ['NanoBananaPro', 'BatchNanoBananaPro', 'GoogleGemini', 'LoadFile', 'ImageStitchPro', 'SaveCleanImage', 'BatchCleanMetadata', 'VideoPreview', 'KlingVideo', 'KlingFirstLastFrame', 'KlingMotionControlTest', 'AspectRatioPreset', 'GoogleVeo', 'FluxImageEdit', 'UniversalLLMChat', 'MultiResPreview', 'BatchImagesO1key', 'Seedance', 'SeedanceMultiModal', 'StreamPreview', 'DoubaoImage', 'O1keyGPTImage']
+__all__ = ['NanoBananaPro', 'BatchNanoBananaPro', 'GoogleGemini', 'LoadFile', 'ImageStitchPro', 'SaveCleanImage', 'BatchCleanMetadata', 'VideoPreview', 'KlingVideo', 'KlingFirstLastFrame', 'KlingMotionControlTest', 'AspectRatioPreset', 'GoogleVeo', 'FluxImageEdit', 'UniversalLLMChat', 'MultiResPreview', 'BatchImagesO1key', 'Seedance', 'SeedanceMultiModal', 'StreamPreview', 'DoubaoImage', 'O1keyGPTImage', 'KVideo']