diff options
Diffstat (limited to 'scripts/xy_grid.py')
| -rw-r--r-- | scripts/xy_grid.py | 23 |
1 files changed, 16 insertions, 7 deletions
diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py index 3a2e103f..146663b0 100644 --- a/scripts/xy_grid.py +++ b/scripts/xy_grid.py @@ -2,6 +2,7 @@ from collections import namedtuple from copy import copy
import random
+from PIL import Image
import numpy as np
import modules.scripts as scripts
@@ -44,11 +45,8 @@ def apply_sampler(p, x, xs): def apply_checkpoint(p, x, xs):
- applicable = [info for info in modules.sd_models.checkpoints_list.values() if x in info.title]
- assert len(applicable) > 0, f'Checkpoint {x} for found'
-
- info = applicable[0]
-
+ info = modules.sd_models.get_closet_checkpoint_match(x)
+ assert info is not None, f'Checkpoint for {x} not found'
modules.sd_models.reload_model_weights(shared.sd_model, info)
@@ -86,7 +84,12 @@ axis_options = [ AxisOption("Prompt S/R", str, apply_prompt, format_value),
AxisOption("Sampler", str, apply_sampler, format_value),
AxisOption("Checkpoint name", str, apply_checkpoint, format_value),
- AxisOptionImg2Img("Denoising", float, apply_field("denoising_strength"), format_value_add_label), # as it is now all AxisOptionImg2Img items must go after AxisOption ones
+ AxisOption("Sigma Churn", float, apply_field("s_churn"), format_value_add_label),
+ AxisOption("Sigma min", float, apply_field("s_tmin"), format_value_add_label),
+ AxisOption("Sigma max", float, apply_field("s_tmax"), format_value_add_label),
+ AxisOption("Sigma noise", float, apply_field("s_noise"), format_value_add_label),
+ AxisOption("Eta", float, apply_field("eta"), format_value_add_label),
+ AxisOptionImg2Img("Denoising", float, apply_field("denoising_strength"), format_value_add_label), # as it is now all AxisOptionImg2Img items must go after AxisOption ones
]
@@ -108,7 +111,10 @@ def draw_xy_grid(p, xs, ys, x_labels, y_labels, cell, draw_legend): if first_pocessed is None:
first_pocessed = processed
- res.append(processed.images[0])
+ try:
+ res.append(processed.images[0])
+ except:
+ res.append(Image.new(res[0].mode, res[0].size))
grid = images.image_grid(res, rows=len(ys))
if draw_legend:
@@ -150,6 +156,9 @@ class Script(scripts.Script): p.batch_size = 1
def process_axis(opt, vals):
+ if opt.label == 'Nothing':
+ return [0]
+
valslist = [x.strip() for x in vals.split(",")]
if opt.type == int:
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