fix(api): pin outscale for GFPGAN to 1 to avoid sparse tiling

api/onnx_web/chain/correct_gfpgan.py

@@ -31,7 +31,8 @@ def load_gfpgan(ctx: ServerContext, upscale: UpscaleParams, upsampler: Optional[
     global last_pipeline_params
 
     if upsampler is None:
-        upsampler = load_resrgan(ctx, upscale)
+        bg_upscale = upscale.rescale(upscale.outscale)
+        upsampler = load_resrgan(ctx, bg_upscale)
 
     face_path = path.join(ctx.model_path, '%s.pth' %
                           (upscale.correction_model))
@@ -40,7 +41,7 @@ def load_gfpgan(ctx: ServerContext, upscale: UpscaleParams, upsampler: Optional[
         logger.info('reusing existing GFPGAN pipeline')
         return last_pipeline_instance
 
-    # TODO: doesn't have a model param, not sure how to pass ONNX model
+    # TODO: find a way to pass the ONNX model to underlying architectures
     gfpgan = GFPGANer(
         model_path=face_path,
         upscale=upscale.outscale,
@@ -73,7 +74,7 @@ def correct_gfpgan(
 
     output = np.array(source_image)
     _, _, output = gfpgan.enhance(
-        source_image, has_aligned=False, only_center_face=False, paste_back=True, weight=upscale.face_strength)
+        output, has_aligned=False, only_center_face=False, paste_back=True, weight=upscale.face_strength)
     output = Image.fromarray(output, 'RGB')
 
     return output

api/onnx_web/params.py

@@ -131,5 +131,21 @@ class UpscaleParams():
         self.scale = scale
         self.tile_pad = tile_pad
 
+    def rescale(self, scale: int):
+        return UpscaleParams(
+            self.upscale_model,
+            self.provider,
+            correction_model=self.correction_model,
+            denoise=self.denoise,
+            faces=self.faces,
+            face_strength=self.face_strength,
+            format=self.format,
+            half=self.half,
+            outscale=scale,
+            scale=scale,
+            pre_pad=self.pre_pad,
+            tile_pad=self.tile_pad,
+        )
+
     def resize(self, size: Size) -> Size:
         return Size(size.width * self.outscale, size.height * self.outscale)

api/onnx_web/upscale.py

@@ -49,7 +49,7 @@ def run_upscale_correction(
 
     if upscale.faces:
         stage = StageParams(tile_size=stage.tile_size,
-                            outscale=upscale.outscale)
+                            outscale=1)
         chain.append((correct_gfpgan, stage, kwargs))
 
     return chain(ctx, params, image)