update

python_server/app/routes/inpaint.py

@@ -15,7 +15,7 @@ router = APIRouter(tags=["inpaint"])
 @router.post("/inpaint")
 def inpaint(req: InpaintRequest) -> Dict[str, Any]:
     try:
-        model_name = req.model_name or "sdxl_inpaint"
+        model_name = req.model_name or "flux_fill"
         pil = b64_to_pil_image(req.image_b64).convert("RGB")
 
         if req.mask_b64:
@@ -24,13 +24,17 @@ def inpaint(req: InpaintRequest) -> Dict[str, Any]:
             mask = default_half_mask(pil)
 
         predictor = get_inpaint_predictor(model_name)
+        call_kw: Dict[str, Any] = {"strength": req.strength, "max_side": req.max_side}
+        if req.guidance_scale is not None:
+            call_kw["guidance_scale"] = req.guidance_scale
+        if req.num_inference_steps is not None:
+            call_kw["num_inference_steps"] = req.num_inference_steps
         out = predictor(
             pil,
             mask,
             req.prompt or "",
             req.negative_prompt or "",
-            strength=req.strength,
-            max_side=req.max_side,
+            **call_kw,
         )
 
         out_dir = OUTPUT_DIR / "inpaint"

python_server/app/routes/meta.py

@@ -43,19 +43,19 @@ def get_models() -> Dict[str, Any]:
                 "mask2former": {"name": "Mask2Former (not implemented)"},
             },
             "inpaint": {
-                "copy": {"name": "Copy (no-op)", "params": []},
-                "sdxl_inpaint": {
-                    "name": "SDXL Inpaint",
-                    "params": [
-                        {"id": "prompt", "label": "提示词", "optional": True},
-                    ],
+                "flux_fill": {
+                    "name": "FLUX.1 Fill (default)",
+                    "params": [{"id": "prompt", "label": "prompt", "optional": True}],
                 },
-                "lama": {"name": "LaMa (Erase / Remove Object)", "params": []},
+                "sdxl_inpaint": {
+                    "name": "sdxl_inpaint",
+                    "params": [{"id": "prompt", "label": "prompt", "optional": True}],
+                },
+                "lama": {"name": "lama", "params": []},
+                "copy": {"name": "copy (debug)", "params": []},
                 "controlnet": {
-                    "name": "ControlNet Inpaint (canny)",
-                    "params": [
-                        {"id": "prompt", "label": "提示词", "optional": True},
-                    ],
+                    "name": "controlnet",
+                    "params": [{"id": "prompt", "label": "prompt", "optional": True}],
                 },
             },
             "animation": {

python_server/app/schemas.py

@@ -52,6 +52,8 @@ class InpaintRequest(ImageInput):
     negative_prompt: Optional[str] = Field("", description="负向 prompt")
     mask_b64: Optional[str] = Field(None, description="mask PNG base64（可选）")
     max_side: int = Field(1024, ge=128, le=2048)
+    guidance_scale: Optional[float] = Field(None, ge=0.0, le=200.0, description="扩散 CFG；不传则各后端默认")
+    num_inference_steps: Optional[int] = Field(None, ge=1, le=150, description="采样步数；不传则各后端默认")
 
 
 class AnimateRequest(BaseModel):

python_server/app/services/predictors.py

@@ -76,6 +76,11 @@ def get_inpaint_predictor(model_name: str):
         _inpaint_cache[model_name] = _copy
         return _copy
 
+    if model_name == "flux_fill":
+        pred, _ = build_inpaint_predictor(UnifiedInpaintConfig(backend=InpaintBackend.FLUX_FILL))
+        _inpaint_cache[model_name] = pred
+        return pred
+
     if model_name == "sdxl_inpaint":
         pred, _ = build_inpaint_predictor(UnifiedInpaintConfig(backend=InpaintBackend.SDXL_INPAINT))
         _inpaint_cache[model_name] = pred