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-rw-r--r--scripts/prompts_from_file.py10
-rw-r--r--scripts/xyz_grid.py6
2 files changed, 8 insertions, 8 deletions
diff --git a/scripts/prompts_from_file.py b/scripts/prompts_from_file.py
index b918a764..50320d55 100644
--- a/scripts/prompts_from_file.py
+++ b/scripts/prompts_from_file.py
@@ -1,13 +1,11 @@
import copy
import random
-import sys
-import traceback
import shlex
import modules.scripts as scripts
import gradio as gr
-from modules import sd_samplers
+from modules import sd_samplers, errors
from modules.processing import Processed, process_images
from modules.shared import state
@@ -123,8 +121,7 @@ class Script(scripts.Script):
return [checkbox_iterate, checkbox_iterate_batch, prompt_txt]
def run(self, p, checkbox_iterate, checkbox_iterate_batch, prompt_txt: str):
- lines = [x.strip() for x in prompt_txt.splitlines()]
- lines = [x for x in lines if len(x) > 0]
+ lines = [x for x in (x.strip() for x in prompt_txt.splitlines()) if x]
p.do_not_save_grid = True
@@ -136,8 +133,7 @@ class Script(scripts.Script):
try:
args = cmdargs(line)
except Exception:
- print(f"Error parsing line {line} as commandline:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error parsing line {line} as commandline", exc_info=True)
args = {"prompt": line}
else:
args = {"prompt": line}
diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index da820b39..7821cc65 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -10,7 +10,7 @@ import numpy as np
import modules.scripts as scripts
import gradio as gr
-from modules import images, sd_samplers, processing, sd_models, sd_vae
+from modules import images, sd_samplers, processing, sd_models, sd_vae, sd_samplers_kdiffusion
from modules.processing import process_images, Processed, StableDiffusionProcessingTxt2Img
from modules.shared import opts, state
import modules.shared as shared
@@ -220,6 +220,10 @@ axis_options = [
AxisOption("Sigma min", float, apply_field("s_tmin")),
AxisOption("Sigma max", float, apply_field("s_tmax")),
AxisOption("Sigma noise", float, apply_field("s_noise")),
+ AxisOption("Schedule type", str, apply_override("k_sched_type"), choices=lambda: list(sd_samplers_kdiffusion.k_diffusion_scheduler)),
+ AxisOption("Schedule min sigma", float, apply_override("sigma_min")),
+ AxisOption("Schedule max sigma", float, apply_override("sigma_max")),
+ AxisOption("Schedule rho", float, apply_override("rho")),
AxisOption("Eta", float, apply_field("eta")),
AxisOption("Clip skip", int, apply_clip_skip),
AxisOption("Denoising", float, apply_field("denoising_strength")),