131 lines
3.8 KiB
Python
131 lines
3.8 KiB
Python
from __future__ import annotations
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import logging
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from itertools import product
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from pathlib import Path
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from dynamicprompts.generators.promptgenerator import PromptGenerator
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from sd_dynamic_prompts.paths import get_magicprompt_models_txt_path
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logger = logging.getLogger(__name__)
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def get_seeds(
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p,
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num_seeds,
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use_fixed_seed,
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is_combinatorial=False,
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combinatorial_batches=1,
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):
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if p.subseed_strength != 0:
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seed = int(p.all_seeds[0])
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subseed = int(p.all_subseeds[0])
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else:
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seed = int(p.seed)
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subseed = int(p.subseed)
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if use_fixed_seed:
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if is_combinatorial:
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all_seeds = []
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all_subseeds = [subseed] * num_seeds
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for i in range(combinatorial_batches):
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all_seeds.extend([seed + i] * (num_seeds // combinatorial_batches))
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else:
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all_seeds = [seed] * num_seeds
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all_subseeds = [subseed] * num_seeds
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else:
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if p.subseed_strength == 0:
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all_seeds = [seed + i for i in range(num_seeds)]
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else:
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all_seeds = [seed] * num_seeds
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all_subseeds = [subseed + i for i in range(num_seeds)]
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return all_seeds, all_subseeds
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def should_freeze_prompt(p):
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# When using a variation seed, the prompt shouldn't change between generations
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return p.subseed_strength > 0
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def load_magicprompt_models(models_file: Path | None = None) -> list[str]:
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if not models_file:
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models_file = get_magicprompt_models_txt_path()
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try:
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# ignore empty lines
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return [
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model
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for model in (
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line.partition("#")[0].strip()
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for line in models_file.read_text().splitlines()
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)
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if model
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]
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except FileNotFoundError:
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logger.warning(f"Could not find magicprompts config file at {models_file}")
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return []
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def generate_prompts(
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prompt_generator: PromptGenerator,
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negative_prompt_generator: PromptGenerator,
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prompt: str,
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negative_prompt: str | None,
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num_prompts: int,
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seeds: list[int],
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) -> tuple[list[str], list[str]]:
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"""
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Generate positive and negative prompts.
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Parameters:
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- prompt_generator: Object that generates positive prompts.
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- negative_prompt_generator: Object that generates negative prompts.
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- prompt: Base text for positive prompts.
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- negative_prompt: Base text for negative prompts.
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- num_prompts: Number of prompts to generate.
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- seeds: List of seeds for prompt generation.
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Returns:
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- Tuple containing list of positive and negative prompts.
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"""
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all_prompts = prompt_generator.generate(prompt, num_prompts, seeds=seeds) or [""]
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negative_seeds = seeds if negative_prompt else None
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all_negative_prompts = negative_prompt_generator.generate(
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negative_prompt,
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num_prompts,
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seeds=negative_seeds,
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) or [""]
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if num_prompts is None:
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return generate_prompt_cross_product(all_prompts, all_negative_prompts)
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else:
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return all_prompts, (all_negative_prompts * num_prompts)[0:num_prompts]
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def generate_prompt_cross_product(
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prompts: list[str],
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negative_prompts: list[str],
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) -> tuple(list[str], list[str]):
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"""
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Create a cross product of all the items in `prompts` and `negative_prompts`.
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Return the positive prompts and negative prompts in two separate lists
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Parameters:
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- prompts: List of prompts
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- negative_prompts: List of negative prompts
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Returns:
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- Tuple containing list of positive and negative prompts
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"""
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if len(prompts) == 0 or len(negative_prompts) == 0:
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return [], []
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positive_prompts, negative_prompts = list(
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zip(*product(prompts, negative_prompts), strict=True),
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)
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return list(positive_prompts), list(negative_prompts)
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