update

python_server/config.py

@@ -168,8 +168,8 @@ class DepthConfig:
 class InpaintConfig:
     # 统一补全默认后端（与 model key 对齐；实际路由以请求的 model_name 为准）
     backend: Literal["flux_fill", "sdxl_inpaint", "controlnet"] = "flux_fill"
-    # FLUX Fill（gated：须在 Hugging Face 同意条款，并建议设置环境变量 HF_TOKEN）
-    flux_fill_model: str = "black-forest-labs/FLUX.1-Fill-dev"
+    # FLUX Fill：本机 diffusers 目录（须含 model_index.json）。换机器时改此绝对路径即可。
+    flux_fill_model: str = "/home/vipuser/ai-models/flux/FLUX.1-Fill-dev"
     # SDXL：须为专用 inpaint 权重（勿用 xl-base 当补全底模）
     sdxl_base_model: str = "diffusers/stable-diffusion-xl-1.0-inpainting-0.1"
     # ControlNet Inpaint 基础模型与 controlnet 权重

python_server/model/Inpaint/flux_fill/loader.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-import os
+from pathlib import Path
 from typing import Any, Callable
 
 import numpy as np
@@ -24,12 +24,15 @@ def make_flux_fill_predictor(
     else:
         torch_dtype = torch.float32
 
-    hf_token = os.environ.get("HF_TOKEN") or os.environ.get("HUGGING_FACE_HUB_TOKEN")
+    root = Path(model_id.strip()).expanduser()
+    # 本机 diffusers 目录（含 model_index.json）时不访问 Hub，避免自动下载。
+    local_files_only = root.is_dir() and (root / "model_index.json").is_file()
 
     pipe = FluxFillPipeline.from_pretrained(
-        model_id,
+        str(root),
         torch_dtype=torch_dtype,
-        token=hf_token,
+        token=None,
+        local_files_only=local_files_only,
     )
 
     if device == "cuda":