feat: 新增代码

video_worker/app/backends/hunyuan_backend.py

@@ -0,0 +1,59 @@
+from pathlib import Path
+from typing import Any, Dict
+
+from app.backends.base import BaseVideoBackend
+from app.utils.ffmpeg_utils import extract_first_frame, frames_to_video
+from app.utils.files import TASK_FIRST_FRAME_NAME, TASK_VIDEO_NAME
+from app.utils.image_utils import make_dummy_frame
+
+
+class HunyuanBackend(BaseVideoBackend):
+    backend_name = "hunyuan_backend"
+    model_name = "HunyuanVideo-1.5"
+
+    def __init__(self, model_dir: Path, enable_cpu_offload: bool = True, enable_vae_tiling: bool = True):
+        self.model_dir = model_dir
+        self.enable_cpu_offload = enable_cpu_offload
+        self.enable_vae_tiling = enable_vae_tiling
+        self._loaded = False
+        self._pipeline = None
+
+    def load(self) -> None:
+        if self._loaded:
+            return
+        # TODO: Replace with real HunyuanVideo loading and memory optimization hooks.
+        # Example hooks: self._pipeline.enable_model_cpu_offload(), self._pipeline.vae.enable_tiling()
+        self.model_dir.mkdir(parents=True, exist_ok=True)
+        self._pipeline = "hunyuan_pipeline_placeholder"
+        self._loaded = True
+
+    def is_loaded(self) -> bool:
+        return self._loaded
+
+    def generate(self, task_id: str, request_data: Dict[str, Any], output_dir: str) -> Dict[str, str]:
+        self.load()
+        output = Path(output_dir)
+        frames_dir = output / "frames"
+        frames_dir.mkdir(parents=True, exist_ok=True)
+
+        duration = int(request_data["duration_sec"])
+        fps = int(request_data["fps"])
+        width = int(request_data["width"])
+        height = int(request_data["height"])
+        prompt = request_data["prompt"]
+
+        total_frames = duration * fps
+        for i in range(total_frames):
+            frame_path = frames_dir / f"frame_{i:04d}.jpg"
+            make_dummy_frame(frame_path, width, height, f"Hunyuan refine | {prompt[:60]}", i)
+
+        video_path = output / TASK_VIDEO_NAME
+        frames_to_video(str(frames_dir / "frame_%04d.jpg"), fps, video_path)
+
+        first_frame_path = output / TASK_FIRST_FRAME_NAME
+        extract_first_frame(video_path, first_frame_path)
+
+        return {
+            "video_path": str(video_path.resolve()),
+            "first_frame_path": str(first_frame_path.resolve()),
+        }