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Revert "Add dynamic temperature to the random preset button"

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This reverts commit 4365fb890f.
This commit is contained in:
oobabooga 2024-01-08 16:46:24 -08:00
parent 4365fb890f
commit 9cd2106303
1 changed files with 3 additions and 37 deletions
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36
modules/presets.py
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@ -1,5 +1,4 @@
import functools
import pprint
import random
from pathlib import Path
@ -7,7 +6,6 @@ import yaml
from modules import shared
from modules.loaders import loaders_samplers
from modules.logging_colors import logger
def default_preset():
@ -83,8 +81,7 @@ def random_preset(state):
'eta_cutoff': [3, 6, 9, 12, 15, 18],
},
'flatten_distribution': {
'temperature': [0.5, 0.7, 0.8, 1, 1.2, 1.5, 2.0, 3.0, 5.0],
'dynamic_temperature_low': [0.5, 0.7, 0.8, 1, 1.2, 1.5, 2.0, 3.0],
'temperature': [0.5, 0.7, 0.8, 1, 1.2, 1.5, 2.0],
},
'repetition': {
'repetition_penalty': [1, 1.05, 1.1, 1.15, 1.20, 1.25],
@ -93,51 +90,20 @@ def random_preset(state):
},
'other': {
'temperature_last': [True, False],
'dynamic_temperature': [True, False],
}
}
generate_params = default_preset()
defaults = default_preset()
for cat in params_and_values:
choices = list(params_and_values[cat].keys())
if shared.args.loader is not None:
choices = [x for x in choices if x in loaders_samplers[shared.args.loader]]
if len(choices) > 0:
if cat == 'other':
N = random.randint(1, len(choices))
maybe_multiple_choices = random.sample(choices, N)
for choice in maybe_multiple_choices:
generate_params[choice] = random.choice(params_and_values[cat][choice])
else:
choice = random.choice(choices)
generate_params[choice] = random.choice(params_and_values[cat][choice])
# If using dynamic temperature, sample the high/low values simultaneously.
# If necessary, resample until the low is lower than the high
if generate_params['dynamic_temperature']:
generate_params['dynamic_temperature_low'] = random.choice(params_and_values['flatten_distribution']['dynamic_temperature_low'])
generate_params['temperature'] = random.choice(params_and_values['flatten_distribution']['temperature'])
while generate_params['dynamic_temperature_low'] >= generate_params['temperature']:
generate_params['dynamic_temperature_low'] = random.choice(params_and_values['flatten_distribution']['dynamic_temperature_low'])
generate_params['temperature'] = random.choice(params_and_values['flatten_distribution']['temperature'])
elif 'dynamic_temperature_low' in generate_params:
generate_params['dynamic_temperature_low'] = defaults['dynamic_temperature_low']
state.update(generate_params)
diff = {}
# Remove entries that are identical to the defaults
for k in list(generate_params.keys()):
if generate_params[k] != defaults[k]:
diff[k] = generate_params[k]
logger.info("GENERATED_PRESET=")
pprint.PrettyPrinter(indent=4, sort_dicts=False).pprint(diff)
print()
return state, *[generate_params[k] for k in presets_params()]