xyz_grid: in the legend, remove pathnames from model filenames

scripts/xyz_grid.py

@@ -3,6 +3,7 @@ from copy import copy
 from itertools import permutations, chain
 import random
 import csv
+import os.path
 from io import StringIO
 from PIL import Image
 import numpy as np
@@ -182,6 +183,8 @@ def do_nothing(p, x, xs):
 def format_nothing(p, opt, x):
     return ""
 
+def format_remove_path(p, opt, x):
+    return os.path.basename(x)
 
 def str_permutations(x):
     """dummy function for specifying it in AxisOption's type when you want to get a list of permutations"""
@@ -223,7 +226,7 @@ axis_options = [
     AxisOption("Prompt order", str_permutations, apply_order, format_value=format_value_join_list),
     AxisOptionTxt2Img("Sampler", str, apply_sampler, format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]),
     AxisOptionImg2Img("Sampler", str, apply_sampler, format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers_for_img2img]),
-    AxisOption("Checkpoint name", str, apply_checkpoint, format_value=format_value, confirm=confirm_checkpoints, cost=1.0, choices=lambda: sorted(sd_models.checkpoints_list, key=str.casefold)),
+    AxisOption("Checkpoint name", str, apply_checkpoint, format_value=format_remove_path, confirm=confirm_checkpoints, cost=1.0, choices=lambda: sorted(sd_models.checkpoints_list, key=str.casefold)),
     AxisOption("Negative Guidance minimum sigma", float, apply_field("s_min_uncond")),
     AxisOption("Sigma Churn", float, apply_field("s_churn")),
     AxisOption("Sigma min", float, apply_field("s_tmin")),