diff --git a/fmriprep/workflows/bold/outputs.py b/fmriprep/workflows/bold/outputs.py
index df8de999c..f8c9ebbb3 100644
--- a/fmriprep/workflows/bold/outputs.py
+++ b/fmriprep/workflows/bold/outputs.py
@@ -163,25 +163,33 @@ def init_func_fit_reports_wf(
 
     Inputs
     ------
-    std_t1w
-        T1w image resampled to standard space
-    std_mask
-        Mask of skull-stripped template
-    subject_dir
-        FreeSurfer SUBJECTS_DIR
-    subject_id
-        FreeSurfer subject ID
-    t1w_conform_report
-        Conformation report
+    sdc_boldref
+        BOLD reference before SDC, in BOLD space
+    coreg_boldref
+        BOLD reference after SDC, in BOLD space
+    boldref2anat_xfm
+        Affine transform from BOLD reference to anatomical space
+    boldref2fmap_xfm
+        Affine transform from BOLD reference to fieldmap space
     t1w_preproc
         The T1w reference map, which is calculated as the average of bias-corrected
         and preprocessed T1w images, defining the anatomical space.
-    t1w_dseg
-        Segmentation in T1w space
     t1w_mask
         Brain (binary) mask estimated by brain extraction.
-    template
-        Template space and specifications
+    t1w_dseg
+        Segmentation in T1w space
+    fieldmap
+        Reconstructed fieldmap, in BOLD space
+    fmap_ref
+        Fieldmap reference image, in fieldmap space
+    subject_dir
+        FreeSurfer SUBJECTS_DIR
+    subject_id
+        FreeSurfer subject ID
+    summary_report
+        HTML snippet summarizing BOLD processing decisions
+    validation_report
+        HTML snippet indicating whether affine metadata were overwritten
 
     """
     from nireports.interfaces.reporting.base import (
@@ -313,18 +321,6 @@ def init_func_fit_reports_wf(
             mem_gb=1,
         )
 
-        fmap_boldref = pe.Node(
-            ApplyTransforms(
-                dimension=3,
-                default_value=0,
-                float=True,
-                invert_transform_flags=[True],
-                interpolation='LanczosWindowedSinc',
-            ),
-            name='fmap_boldref',
-            mem_gb=1,
-        )
-
         # SDC1
         sdcreg_report = pe.Node(
             FieldmapReportlet(
@@ -377,17 +373,12 @@ def init_func_fit_reports_wf(
                 ('coreg_boldref', 'reference_image'),
                 ('boldref2fmap_xfm', 'transforms'),
             ]),
-            (inputnode, fmap_boldref, [
-                ('fieldmap', 'input_image'),
-                ('coreg_boldref', 'reference_image'),
-                ('boldref2fmap_xfm', 'transforms'),
-            ]),
             (inputnode, sdcreg_report, [
                 ('sdc_boldref', 'reference'),
+                ('fieldmap', 'fieldmap'),
                 ('bold_mask', 'mask'),
             ]),
             (fmapref_boldref, sdcreg_report, [('output_image', 'moving')]),
-            (fmap_boldref, sdcreg_report, [('output_image', 'fieldmap')]),
             (sdcreg_report, ds_sdcreg_report, [('out_report', 'in_file')]),
             (inputnode, sdc_report, [
                 ('sdc_boldref', 'before'),