mirror of
https://github.com/brycedrennan/imaginAIry
synced 2024-11-17 09:25:47 +00:00
75 lines
2.2 KiB
Python
75 lines
2.2 KiB
Python
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import csv
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import re
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from copy import copy
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from imaginairy import ImaginePrompt
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from imaginairy.utils import frange
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def parse_schedule_str(schedule_str):
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"""Parse a schedule string into a list of values."""
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pattern = re.compile(r"([a-zA-Z0-9_-]+)\[([a-zA-Z0-9_:,. -]+)\]")
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match = pattern.match(schedule_str)
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if not match:
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raise ValueError(f"Invalid kwarg schedule: {schedule_str}")
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arg_name = match.group(1).replace("-", "_")
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if not hasattr(ImaginePrompt(), arg_name):
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raise ValueError(
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f"Invalid kwarg schedule. Not a valid argument name: {arg_name}"
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)
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arg_values = match.group(2)
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if ":" in arg_values:
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start, end, step = arg_values.split(":")
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arg_values = list(frange(float(start), float(end), float(step)))
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else:
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arg_values = parse_csv_line(arg_values)
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return arg_name, arg_values
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def parse_schedule_strs(schedule_strs):
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"""Parse and validate input prompt schedules."""
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schedules = {}
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for schedule_str in schedule_strs:
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arg_name, arg_values = parse_schedule_str(schedule_str)
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schedules[arg_name] = arg_values
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# Validate that all schedules have the same length
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schedule_lengths = [len(v) for v in schedules.values()]
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if len(set(schedule_lengths)) > 1:
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raise ValueError("All schedules must have the same length")
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return schedules
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def prompt_mutator(prompt, schedules):
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"""
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Given a prompt and a list of kwarg schedules, return a series of prompts that follow the schedule.
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kwarg_schedules example:
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{
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"prompt_strength": [0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0],
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}
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"""
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schedule_length = len(list(schedules.values())[0])
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for i in range(schedule_length):
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new_prompt = copy(prompt)
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for attr_name, schedule in schedules.items():
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setattr(new_prompt, attr_name, schedule[i])
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new_prompt.validate()
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yield new_prompt
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def parse_csv_line(line):
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reader = csv.reader([line])
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for row in reader:
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parsed_row = []
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for value in row:
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try:
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parsed_row.append(float(value))
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except ValueError:
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parsed_row.append(value)
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return parsed_row
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