Merge branch 'dev' into auro-autolaunch

1 files changed, 3 insertions, 10 deletions

diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index 103bf104..d37b428f 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -67,14 +67,6 @@ def apply_order(p, x, xs):
     p.prompt = prompt_tmp + p.prompt

 

 

-def apply_sampler(p, x, xs):

-    sampler_name = sd_samplers.samplers_map.get(x.lower(), None)

-    if sampler_name is None:

-        raise RuntimeError(f"Unknown sampler: {x}")

-

-    p.sampler_name = sampler_name

-

-

 def confirm_samplers(p, xs):

     for x in xs:

         if x.lower() not in sd_samplers.samplers_map:

@@ -224,8 +216,9 @@ axis_options = [
     AxisOptionImg2Img("Image CFG Scale", float, apply_field("image_cfg_scale")),

     AxisOption("Prompt S/R", str, apply_prompt, format_value=format_value),

     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]),

+    AxisOptionTxt2Img("Sampler", str, apply_field("sampler_name"), format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]),

+    AxisOptionTxt2Img("Hires sampler", str, apply_field("hr_sampler_name"), confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers_for_img2img]),

+    AxisOptionImg2Img("Sampler", str, apply_field("sampler_name"), 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_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")),