smarter sampler ID handling

This commit is contained in:
Alex "mcmonkey" Goodwin
2023-01-27 18:49:19 -08:00
parent 3beb86f32f
commit cf524a9dbc
+12 -4
View File
@@ -47,6 +47,8 @@ class Script(scripts.Script):
show_progress = False)
return [enabled, mimic_scale, threshold_percentile, mimic_mode, cfg_mode]
last_id = 0
def process_batch(self, p, enabled, mimic_scale, threshold_percentile, mimic_mode, cfg_mode, batch_number, prompts, seeds, subseeds):
enabled = p.dynthres_enabled if hasattr(p, 'dynthres_enabled') else enabled
if not enabled:
@@ -57,9 +59,9 @@ class Script(scripts.Script):
threshold_percentile = p.dynthres_threshold_percentile if hasattr(p, 'dynthres_threshold_percentile') else threshold_percentile
mimic_mode = p.dynthres_mimic_mode if hasattr(p, 'dynthres_mimic_mode') else mimic_mode
cfg_mode = p.dynthres_cfg_mode if hasattr(p, 'dynthres_cfg_mode') else cfg_mode
# Note: the random number is to protect the edge case of multiple simultaneous runs with different settings
fixed_sampler_name = f"{p.sampler_name}_dynthres{random.randrange(100)}"
p.fixed_sampler_name = fixed_sampler_name
# Note: the ID number is to protect the edge case of multiple simultaneous runs with different settings
Script.last_id += 1
fixed_sampler_name = f"{p.sampler_name}_dynthres{Script.last_id}"
# Percentage to portion
threshold_percentile *= 0.01
# Make a placeholder sampler
@@ -70,13 +72,19 @@ class Script(scripts.Script):
result.model_wrap_cfg = cfg
return result
newSampler = sd_samplers.SamplerData(fixed_sampler_name, newConstructor, sampler.aliases, sampler.options)
# Apply for usage
p.orig_sampler_name = p.sampler_name
p.sampler_name = fixed_sampler_name
p.fixed_sampler_name = fixed_sampler_name
sd_samplers.all_samplers_map[fixed_sampler_name] = newSampler
def postprocess_batch(self, p, enabled, mimic_scale, threshold_percentile, mimic_mode, cfg_mode, batch_number, images):
if not enabled:
if not enabled or not hasattr(p, 'orig_sampler_name'):
return
p.sampler_name = p.orig_sampler_name
del sd_samplers.all_samplers_map[p.fixed_sampler_name]
del p.orig_sampler_name
del p.fixed_sampler_name
######################### Implementation logic #########################