Deploy NFA Track R FLUX.2 Fun CN ZeroGPU (real depth CN)

app.py

@@ -10,6 +10,7 @@ VRAM choice (documented):
 from __future__ import annotations
 
 import os
+import sys
 import traceback
 from pathlib import Path
 from typing import Optional
@@ -21,6 +22,42 @@ from huggingface_hub import hf_hub_download, login, snapshot_download
 from omegaconf import OmegaConf
 from PIL import Image
 
+APP_DIR = Path(__file__).resolve().parent
+# Prefer vendored tree; else clone VideoX-Fun on Space (pip package omits submodules).
+_VX = APP_DIR / "vendor" / "VideoX-Fun"
+_VX_CACHE = Path.home() / "VideoX-Fun"
+
+
+def _ensure_videox_on_path() -> None:
+    for candidate in (_VX, _VX_CACHE):
+        if (candidate / "videox_fun" / "models").is_dir():
+            p = str(candidate)
+            if p not in sys.path:
+                sys.path.insert(0, p)
+            return
+    import subprocess
+
+    print("[nfa-fun-cn] cloning VideoX-Fun for Fun CN runtime…", flush=True)
+    _VX_CACHE.parent.mkdir(parents=True, exist_ok=True)
+    if _VX_CACHE.exists():
+        import shutil
+
+        shutil.rmtree(_VX_CACHE, ignore_errors=True)
+    subprocess.check_call(
+        [
+            "git",
+            "clone",
+            "--depth",
+            "1",
+            "https://github.com/aigc-apps/VideoX-Fun.git",
+            str(_VX_CACHE),
+        ]
+    )
+    sys.path.insert(0, str(_VX_CACHE))
+
+
+_ensure_videox_on_path()
+
 HF_TOKEN = (
     os.environ.get("HF_TOKEN")
     or os.environ.get("HUGGINGFACE_HUB_TOKEN")
@@ -57,7 +94,6 @@ MEM_MODE = (
     )
 ).strip()
 
-APP_DIR = Path(__file__).resolve().parent
 CONFIG_PATH = APP_DIR / "config" / "flux2_control.yaml"
 # Prefer HF Mount volumes (no 178GB ephemeral download). Fallback: cache download.
 MODEL_DIR = Path(

requirements.txt

@@ -13,7 +13,17 @@ spaces
 gradio>=5.0.0
 huggingface_hub
 requests
-# Official Fun CN stack (ALIMAMA / VideoX-Fun) — NOT Diffusers soft image=
-videox-fun @ git+https://github.com/aigc-apps/VideoX-Fun.git
 diffusers>=0.36.0
 transformers>=4.46.2
+# VideoX-Fun code is vendored under vendor/VideoX-Fun (pip package misses submodules).
+# Runtime deps from VideoX-Fun pyproject:
+timm
+tomesd
+torchdiffeq
+torchsde
+opencv-python-headless
+imageio
+ftfy
+func_timeout
+albumentations
+scikit-image