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mirror of https://github.com/vladmandic/automatic synced 2026-09-19 17:24:32 +02:00
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Initial implementation

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nekoworkshop
2023-04-29 14:41:37 -04:00
parent 6cd4d62f71
commit 5dc9743592
2 changed files with 43 additions and 1 deletions
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scripts/xyz_grid.py
+42
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@@ -145,6 +145,39 @@ def apply_face_restore(p, opt, x):
p.restore_faces = is_active
def apply_token_merging1(p, x, xs):
is_active = x.lower() in ('true', 'yes', 'y', '1')
p.override_settings["token_merging"] = is_active
def apply_token_merging_ratio_hr(p, x, xs):
p.override_settings["token_merging_ratio_hr"] = x
def apply_token_merging_ratio(p, x, xs):
p.override_settings["token_merging_ratio"] = x
def apply_token_merging_hr_only(p, x, xs):
is_active = x.lower() in ('true', 'yes', 'y', '1')
p.override_settings["token_merging_hr_only"] = is_active
def apply_token_merging_random(p, x, xs):
is_active = x.lower() in ('true', 'yes', 'y', '1')
p.override_settings["token_merging_random"] = is_active
def apply_token_merging_attention(p, x, xs):
is_active = x.lower() in ('true', 'yes', 'y', '1')
p.override_settings["token_merging_merge_attention"] = is_active
def apply_token_merging_cross_attention(p, x, xs):
is_active = x.lower() in ('true', 'yes', 'y', '1')
p.override_settings["token_merging_merge_cross_attention"] = is_active
def apply_token_merging_mlp(p, x, xs):
is_active = x.lower() in ('true', 'yes', 'y', '1')
p.override_settings["token_merging_merge_mlp"] = is_active
def apply_token_merging_maximum_down_sampling (p, x, xs):
p.override_settings["token_merging_maximum_down_sampling"] = x
#opts.data["token_merging_maximum_down_sampling"] = x
def format_value_add_label(p, opt, x):
if type(x) == float:
@@ -226,6 +259,15 @@ axis_options = [
AxisOption("Styles", str, apply_styles, choices=lambda: list(shared.prompt_styles.styles)),
AxisOption("UniPC Order", int, apply_uni_pc_order, cost=0.5),
AxisOption("Face restore", str, apply_face_restore, format_value=format_value),
AxisOption("Token Merging", str, apply_token_merging1),
AxisOption("Token merging ratio",float,apply_token_merging_ratio),
AxisOption("Token merging ratio for Hires fix",float,apply_token_merging_ratio_hr),
AxisOption("Token merging apply only to Hires fix",str,apply_token_merging_hr_only, choices= lambda: ["Yes","No"]),
AxisOption("Token Merging use random pertubations",str,apply_token_merging_random, choices = lambda: ["Yes","No"]),
AxisOption("Token Merging merge attention", str, apply_token_merging_attention, choices= lambda: ["Yes","No"]),
AxisOption("Token Merging merge cross attention", str, apply_token_merging_cross_attention, choices= lambda: ["Yes","No"]),
AxisOption("Token Merging merge mlp", str, apply_token_merging_mlp, choices= lambda: ["Yes","No"]),
AxisOption("Token Merging maxium down sampling", int, apply_token_merging_maximum_down_sampling, choices= lambda: ["1","2","4","8"])
]