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xyz_grid: in the legend, remove pathnames from model filenames

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This commit is contained in:
Robert Barron 2023-07-30 00:26:25 -07:00
parent 68f336bd99
commit 085c903229
1 changed files with 4 additions and 1 deletions
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5
scripts/xyz_grid.py
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@ -3,6 +3,7 @@ from copy import copy
from itertools import permutations, chain from itertools import permutations, chain
import random import random
import csv import csv
import os.path
from io import StringIO from io import StringIO
from PIL import Image from PIL import Image
import numpy as np import numpy as np
@ -182,6 +183,8 @@ def do_nothing(p, x, xs):
def format_nothing(p, opt, x): def format_nothing(p, opt, x):
return "" return ""
def format_remove_path(p, opt, x):
return os.path.basename(x)
def str_permutations(x): def str_permutations(x):
"""dummy function for specifying it in AxisOption's type when you want to get a list of permutations""" """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), 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]), 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]), 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("Negative Guidance minimum sigma", float, apply_field("s_min_uncond")),
AxisOption("Sigma Churn", float, apply_field("s_churn")), AxisOption("Sigma Churn", float, apply_field("s_churn")),
AxisOption("Sigma min", float, apply_field("s_tmin")), AxisOption("Sigma min", float, apply_field("s_tmin")),