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import os |
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import re |
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import json |
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import difflib |
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import importlib |
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from typing import Any, List, Tuple, Optional |
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import gradio as gr |
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from modules import script_callbacks, scripts, shared |
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from modules import processing, sd_samplers |
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from modules import prompt_parser as pp |
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import sys |
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sys.path.append("/content/A1111/extensions/stable-diffusion-webui-prompt-parser7/scripts") |
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import blueprints |
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import linting |
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import quickproof |
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def _highlight_at(text: str, line: int, column: int, context: int = 2) -> str: |
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lines = text.splitlines() |
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i = max(0, line - 1) |
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start = max(0, i - context) |
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end = min(len(lines), i + context + 1) |
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out = [] |
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for idx in range(start, end): |
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prefix = ">> " if idx == i else " " |
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out.append(f"{prefix}{idx+1:>4}: {lines[idx]}") |
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if idx == i: |
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caret = " " * (column + 7 + len(str(idx+1))) + "^" |
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out.append(caret) |
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return "\n".join(out) |
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def _guess_suggestion(src: str) -> List[str]: |
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tips = [] |
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if src.count("(") != src.count(")"): |
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tips.append("Скобки () несбалансированы — проверьте пары.") |
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if src.count("[") != src.count("]"): |
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tips.append("Скобки [] несбалансированы — проверьте пары.") |
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if src.count("{") != src.count("}"): |
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tips.append("Скобки {} несбалансированы — проверьте пары.") |
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if "::" in src and not any(term in src for term in ["!", ";", "!!"]): |
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tips.append("Похоже, вы используете sequence (::), но не поставили терминатор (! или ; / !! для top-level).") |
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if re.search(r":[A-Za-z]", src): |
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tips.append("После ':' обычно ожидается число для веса (например, :1.2) — проверьте места с двоеточием.") |
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if re.search(r"\[[^]]+\]!\s*!", src): |
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tips.append("alternate_distinct пишется как [a|b]! — одно '!' сразу после ']'.") |
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return tips |
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def format_lark_error(prompt: str, err: Exception) -> str: |
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title = f"**Ошибка парсинга:** `{type(err).__name__}`: {getattr(err, 'message', str(err))}" |
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try: |
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line = getattr(err, 'line', None) |
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column = getattr(err, 'column', None) |
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pos = getattr(err, 'pos_in_stream', None) |
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except Exception: |
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line = column = pos = None |
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block = "" |
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if line is not None and column is not None: |
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block = "```\n" + _highlight_at(prompt, line, column) + "\n```" |
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elif pos is not None: |
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prefix = prompt[:pos] |
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l = prefix.count("\n") + 1 |
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c = len(prefix.split("\n")[-1]) + 1 |
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block = "```\n" + _highlight_at(prompt, l, c) + "\n```" |
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tips = _guess_suggestion(prompt) |
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tips_md = "\n".join([f"- {t}" for t in tips]) if tips else "- Проверьте синтаксис во вкладке «Справка и примеры»." |
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return f"{title}\n\n{block}\n\n**Как исправить:**\n{tips_md}\n" |
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class EnvState: |
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def __init__(self): |
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self.allow_empty_alt = os.environ.get("ALLOW_EMPTY_ALTERNATE", "0") |
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self.expand_alt_per_step = os.environ.get("EXPAND_ALTERNATE_PER_STEP", "1") |
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self.group_combo_limit = os.environ.get("GROUP_COMBO_LIMIT", "100") |
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def apply(self, allow_empty_alt: bool, expand_alt: bool, combo_limit: int) -> bool: |
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changed = False |
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new_allow = "1" if allow_empty_alt else "0" |
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new_expand = "1" if expand_alt else "0" |
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new_limit = str(int(combo_limit)) |
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if new_allow != self.allow_empty_alt: |
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os.environ["ALLOW_EMPTY_ALTERNATE"] = new_allow |
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self.allow_empty_alt = new_allow |
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changed = True |
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if new_expand != self.expand_alt_per_step: |
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os.environ["EXPAND_ALTERNATE_PER_STEP"] = new_expand |
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self.expand_alt_per_step = new_expand |
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changed = True |
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if new_limit != self.group_combo_limit: |
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os.environ["GROUP_COMBO_LIMIT"] = new_limit |
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self.group_combo_limit = new_limit |
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changed = True |
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return changed |
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ENV_STATE = EnvState() |
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def maybe_reload_prompt_parser(allow_empty_alt: bool, expand_alt: bool, combo_limit: int): |
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changed = ENV_STATE.apply(allow_empty_alt, expand_alt, combo_limit) |
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if changed: |
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global pp |
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from modules import prompt_parser as _pp |
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pp = importlib.reload(_pp) |
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def _pp_repeat_macro(src: str) -> Tuple[str, List[str]]: |
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""" |
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repeat N (text) -> text, text, ... (N раз) |
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""" |
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changes = [] |
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pattern = re.compile(r"\brepeat\s+(\d+)\s*\(([^()]*?)\)", flags=re.IGNORECASE | re.DOTALL) |
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while True: |
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m = pattern.search(src) |
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if not m: |
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break |
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n = max(1, int(m.group(1))) |
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body = m.group(2).strip() |
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repl = ", ".join([body] * n) |
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src = src[:m.start()] + repl + src[m.end():] |
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changes.append(f"repeat {n} (...) → {n} повторов") |
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return src, changes |
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def _pp_every_k_macro(src: str, total_steps: int) -> Tuple[str, List[str]]: |
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""" |
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every K [a|b|c] -> [ a : b : c ] : K, 2K, 3K ... (пока < steps) |
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""" |
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changes = [] |
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rx = re.compile(r"\bevery\s+(\d+)\s*\[\s*([^\]]+?)\s*\]", flags=re.IGNORECASE) |
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def repl(m): |
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k = max(1, int(m.group(1))) |
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opts_bar = m.group(2).strip() |
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out = build_alternate_every_k(opts_bar, total_steps, k) |
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changes.append(f"every {k} [...] → scheduled с границами кратными {k}") |
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return out |
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return rx.sub(repl, src), changes |
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def _pp_prob_alt(src: str, total_steps: int) -> Tuple[str, List[str]]: |
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""" |
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probabilistic alternates: a{0.2}|b{0.8} |
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→ строим [ a : b ] : boundaries пропорционально весам |
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""" |
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changes = [] |
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token_rx = re.compile(r"((?:[^|\n\[\]]+?\{\s*\d*\.?\d+\s*\}\s*\|\s*)+[^|\n\[\]]+?\{\s*\d*\.?\d+\s*\})") |
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def convert_block(block: str) -> str: |
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parts = [p.strip() for p in block.split("|")] |
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items = [] |
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total = 0.0 |
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for p in parts: |
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m = re.search(r"\{\s*(\d*\.?\d+)\s*\}\s*$", p) |
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if not m: |
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return block |
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w = float(m.group(1)) |
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text = re.sub(r"\{\s*\d*\.?\d+\s*\}\s*$", "", p).strip() |
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items.append((text, w)) |
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total += w |
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if total <= 0: |
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return block |
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boundaries = [] |
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accum = 0.0 |
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for i in range(len(items) - 1): |
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accum += items[i][1] / total |
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b = int(round(accum * total_steps)) |
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if 0 < b < total_steps: |
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boundaries.append(str(b)) |
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core = " : ".join([it[0] for it in items]) |
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extra = f" : {', '.join(boundaries)}" if boundaries else "" |
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return f"[ {core} ]{extra}" |
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def repl(m): |
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orig = m.group(1) |
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out = convert_block(orig) |
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if out != orig: |
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changes.append("probabilistic a{p}|b{q} → scheduled с пропорциями весов") |
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return out |
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return token_rx.sub(repl, src), changes |
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def preprocess_prompt(src: str, total_steps: int, enable: bool) -> Tuple[str, List[str]]: |
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""" |
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Применяем сахар по шагам. Возвращаем (новый_текст, список_изменений). |
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""" |
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if not enable: |
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return src, [] |
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changes_all: List[str] = [] |
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src, ch = _pp_repeat_macro(src) |
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changes_all += ch |
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src, ch = _pp_every_k_macro(src, total_steps) |
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changes_all += ch |
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src, ch = _pp_prob_alt(src, total_steps) |
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changes_all += ch |
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return src, changes_all |
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def _safe_parse_tree(prompt: str): |
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try: |
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tree = pp.schedule_parser.parse(prompt) |
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tree_str = tree.pretty() if hasattr(tree, "pretty") else str(tree) |
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return tree_str, "" |
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except Exception as e: |
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return "", format_lark_error(prompt, e) |
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def _make_schedule(prompt: str, steps: int, seed: Optional[int], use_visitor: bool) -> Tuple[List[List[Any]], str]: |
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try: |
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schedule = pp.get_schedule(prompt, steps, True, seed, use_visitor=use_visitor) |
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if not schedule: |
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return [], "**Пустое расписание.** Проверьте синтаксис." |
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return schedule, "" |
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except Exception as e: |
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return [], f"**Ошибка при построении расписания:** {e}" |
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def _schedule_table_md(schedule: List[List[Any]]) -> str: |
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rows = ["| end_step | text |", "|---:|---|"] |
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for end_step, text in schedule: |
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safe_text = text.replace("|", "\\|") |
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rows.append(f"| {end_step} | {safe_text} |") |
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return "\n".join(rows) |
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def _per_step_timeline_md(schedule: List[List[Any]], steps: int) -> str: |
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rows = ["| step | active text |", "|---:|---|"] |
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for s in range(1, steps + 1): |
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txt = pp.at_step_from_schedule(s, schedule) |
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safe_txt = txt.replace("|", "\\|") |
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rows.append(f"| {s} | {safe_txt} |") |
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return "\n".join(rows) |
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def _compare_vis_vs_trans(prompt: str, steps: int, seed: Optional[int]) -> str: |
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vis, e1 = _make_schedule(prompt, steps, seed, True) |
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trn, e2 = _make_schedule(prompt, steps, seed, False) |
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if e1 or e2: |
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return (e1 or "") + (e2 or "") |
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md = ["**Visitor (сбор в визиторе)**", _schedule_table_md(vis), |
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"", "**Transformer (пересбор на end_step)**", _schedule_table_md(trn)] |
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return "\n\n".join(md) |
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class Issue: |
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def __init__(self, kind: str, msg: str, fix_hint: str = "", fixer=None): |
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self.kind = kind |
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self.msg = msg |
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self.fix_hint = fix_hint |
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self.fixer = fixer |
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def lint_prompt(src: str, use_visitor: bool) -> List[Issue]: |
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issues: List[Issue] = [] |
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if src.count("(") != src.count(")"): |
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issues.append(Issue("Error", "Несбалансированы круглые скобки ().", |
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"Проверьте пары () или удалите лишние.", |
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lambda s: auto_balance(s, "(", ")"))) |
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if src.count("[") != src.count("]"): |
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issues.append(Issue("Error", "Несбалансированы квадратные скобки [].", |
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"Проверьте пары [] или удалите лишние.", |
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lambda s: auto_balance(s, "[", "]"))) |
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if src.count("{") != src.count("}"): |
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issues.append(Issue("Warning", "Несбалансированы фигурные скобки {}.", |
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"Если это 'dead group', лучше убрать фигурные скобки.", |
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lambda s: auto_balance(s, "{", "}"))) |
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if "::" in src and not any(t in src for t in ["!", ";", "!!"]): |
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issues.append(Issue("Error", "Обнаружен sequence (::), но нет завершающего терминатора (! или ; / !!).", |
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"Добавьте '!' или ';' в конец sequence.", |
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ensure_sequence_terminator)) |
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if re.search(r":[A-Za-z]", src): |
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issues.append(Issue("Warning", "После ':' встречается буква — вероятно ожидалось число веса.", |
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"Исправьте на ':1.2' или уберите ':'.", |
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lambda s: s)) |
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if re.search(r"(?:^|[^[])\b[^]\n]*\|[^[]", src) and "[" not in src: |
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issues.append(Issue("Hint", "Используется '|' вне '[]' — это alternate1/2 (рандом), а не карусель по шагам.", |
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"Заменить на [ a | b ] для перебора по шагам.", |
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bars_to_square_alternate)) |
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if "&" in src: |
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issues.append(Issue("Hint", "Символ '&' активирует and_rule (логическая сцепка).", |
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"Если это текст, замените на 'and' или запятую.", |
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replace_amp_with_and)) |
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if "{" in src and "|" not in src: |
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issues.append(Issue("Hint", "Группа без '|' (dead group) — просто склейка, фигурные скобки не нужны.", |
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"Уберите {} — оставьте плоский список.", |
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remove_dead_groups)) |
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if re.search(r"\[[^]]+\]!\s*!", src): |
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issues.append(Issue("Warning", "Лишний '!' после alternate_distinct.", |
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"Должно быть '[a|b]!' (одно '!').", |
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lambda s: re.sub(r"\]!\s*!", "]!", s))) |
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for m in re.finditer(r"(\d+)\s*!?\s*{([^}]+)}", src): |
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n = int(m.group(1)) |
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body = m.group(2) |
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opts_list = [o.strip() for o in body.split("|") if o.strip()] |
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if "!" in m.group(0) and len(opts_list) < n: |
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issues.append(Issue("Warning", f"В numbered distinct запрошено {n}, но вариантов всего {len(opts_list)}.", |
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"Уменьшите N или уберите '!'.", |
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lambda s, _n=n: re.sub(rf"\b{_n}\s*!", str(_n), s, count=1))) |
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if use_visitor and re.search(r"(^|[^[])\b[^]\n]+\|[^[]", src): |
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issues.append(Issue("Hint", "Под use_visitor=True бар 'a|b' может остаться буквальным. " |
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"Для случайного выбора используйте [a|b] или выключите use_visitor.", |
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"Заменить на [a|b] или переключить режим.", bars_to_square_alternate)) |
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return issues |
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def auto_balance(src: str, l: str, r: str) -> str: |
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c_l = src.count(l) |
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c_r = src.count(r) |
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if c_l > c_r: |
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return src + (r * (c_l - c_r)) |
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if c_r > c_l: |
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return src |
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return src |
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def ensure_sequence_terminator(src: str) -> str: |
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if "::" in src and not re.search(r"(!|;|!!)\s*$", src): |
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return src.rstrip() + " !" |
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return src |
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def bars_to_square_alternate(src: str) -> str: |
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if "[" in src and "]" in src: |
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return src |
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return "[ " + src.strip() + " ]" |
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def replace_amp_with_and(src: str) -> str: |
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return src.replace("&", "and") |
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def remove_dead_groups(src: str) -> str: |
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def repl(m): |
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inner = m.group(1) |
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if "|" in inner: |
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return m.group(0) |
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return inner |
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return re.sub(r"\{\s*([^{}]+?)\s*\}", repl, src) |
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def apply_safe_fixes(src: str, use_visitor: bool) -> Tuple[str, List[str]]: |
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issues = lint_prompt(src, use_visitor) |
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changes = [] |
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out = src |
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for issue in issues: |
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if callable(issue.fixer): |
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new_out = issue.fixer(out) |
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if new_out != out: |
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changes.append(f"{issue.kind}: {issue.msg} → {issue.fix_hint}") |
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out = new_out |
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return out, changes |
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def build_group(items_csv: str) -> str: |
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items = [s.strip() for s in items_csv.split(",") if s.strip()] |
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|
return "{ " + ", ".join(items) + " }" if items else "{}" |
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|
def build_alternate(items_bar: str, distinct: bool) -> str: |
|
|
core = items_bar.strip() |
|
|
if not core: |
|
|
return "[]" |
|
|
return f"[ {core} ]!" if distinct else f"[ {core} ]" |
|
|
|
|
|
|
|
|
def build_numbered(n: int, options_bar_or_group: str, distinct: bool) -> str: |
|
|
n = max(1, int(n)) |
|
|
body = options_bar_or_group.strip() |
|
|
mark = "!" if distinct else "" |
|
|
return f"{n}{mark} {body}" |
|
|
|
|
|
|
|
|
def build_sequence(owner: str, pairs_text: str, terminator: str) -> str: |
|
|
owner = owner.strip() |
|
|
pairs = [] |
|
|
for chunk in pairs_text.split(";"): |
|
|
chunk = chunk.strip() |
|
|
if not chunk: |
|
|
continue |
|
|
if ":" not in chunk: |
|
|
pairs.append(chunk) |
|
|
else: |
|
|
k, v = chunk.split(":", 1) |
|
|
pairs.append(f"{k.strip()} :: {v.strip()}") |
|
|
term = "!" if terminator == "!" else ";" |
|
|
return f"{owner} :: " + ", ".join(pairs) + f" {term}" |
|
|
|
|
|
|
|
|
def build_top_level_sequence(owner: str, pairs_text: str, trailing_plain: str) -> str: |
|
|
seq = build_sequence(owner, pairs_text, "!") |
|
|
inner = seq.replace(f"{owner} :: ", "").rstrip("!;").strip() |
|
|
tail = (", " + trailing_plain.strip()) if trailing_plain.strip() else "" |
|
|
return f"{owner.strip()} ::: {inner} !!{tail}" |
|
|
|
|
|
|
|
|
def build_scheduled_block(variants_multiline: str, ranges_text: str, reverse: bool) -> str: |
|
|
variants = [v.strip() for v in variants_multiline.split("\n") if v.strip()] |
|
|
if not variants: |
|
|
return "" |
|
|
core = " : ".join(variants) |
|
|
extra = f" : {ranges_text.strip()}" if ranges_text.strip() else "" |
|
|
suffix = " reverse" if reverse else "" |
|
|
return f"[ {core} ]{extra}{suffix}" |
|
|
|
|
|
|
|
|
def build_alternate_every_k(options_bar: str, steps: int, k: int) -> str: |
|
|
opts = [o.strip() for o in options_bar.split("|") if o.strip()] |
|
|
if not opts: |
|
|
return "" |
|
|
boundaries = [] |
|
|
for i in range(1, len(opts)): |
|
|
b = i * k |
|
|
if b < steps: |
|
|
boundaries.append(str(b)) |
|
|
extra = f" : {', '.join(boundaries)}" if boundaries else "" |
|
|
return f"[ {' : '.join(opts)} ]{extra}" |
|
|
|
|
|
|
|
|
def conv_dead_groups_to_plain(src: str) -> str: |
|
|
return remove_dead_groups(src) |
|
|
|
|
|
|
|
|
def conv_bars_to_square(src: str) -> str: |
|
|
return bars_to_square_alternate(src) |
|
|
|
|
|
|
|
|
def conv_add_seq_terminator(src: str) -> str: |
|
|
return ensure_sequence_terminator(src) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def schedule_to_csv(schedule: List[List[Any]]) -> str: |
|
|
lines = ["end_step,text"] |
|
|
for end_step, text in schedule: |
|
|
safe = text.replace('"', '""') |
|
|
lines.append(f'{end_step},"{safe}"') |
|
|
return "\n".join(lines) |
|
|
|
|
|
|
|
|
def timeline_to_csv(schedule: List[List[Any]], steps: int) -> str: |
|
|
lines = ["step,text"] |
|
|
for s in range(1, steps + 1): |
|
|
t = pp.at_step_from_schedule(s, schedule) |
|
|
safe = t.replace('"', '""') |
|
|
lines.append(f'{s},"{safe}"') |
|
|
return "\n".join(lines) |
|
|
|
|
|
|
|
|
def schedule_to_json(schedule: List[List[Any]]) -> str: |
|
|
data = [{"end_step": end, "text": txt} for end, txt in schedule] |
|
|
return json.dumps(data, ensure_ascii=False, indent=2) |
|
|
|
|
|
|
|
|
def md_block(title: str, content: str) -> str: |
|
|
return f"### {title}\n\n```\n{content}\n```" |
|
|
|
|
|
|
|
|
def mk_diff(a: str, b: str, from_name="original", to_name="fixed") -> str: |
|
|
diff = difflib.unified_diff( |
|
|
a.splitlines(keepends=False), |
|
|
b.splitlines(keepends=False), |
|
|
fromfile=from_name, tofile=to_name, lineterm="" |
|
|
) |
|
|
text = "\n".join(diff) |
|
|
return "```\n" + (text if text else "# (no changes)\n") + "\n```" |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def highlight_prompt_html(src: str) -> str: |
|
|
esc = (src.replace("&", "&").replace("<", "<").replace(">", ">")) |
|
|
esc = re.sub(r"(\[\]|\[|\])", r'<span style="color:#4aa3ff">\1</span>', esc) |
|
|
esc = re.sub(r"(\{\}|\{|\})", r'<span style="color:#ffa640">\1</span>', esc) |
|
|
esc = re.sub(r"(\(|\))", r'<span style="color:#92d050">\1</span>', esc) |
|
|
esc = re.sub(r"(::|:::|!!|!|;|\|)", r'<span style="color:#ff5b8a">\1</span>', esc) |
|
|
esc = re.sub(r"\bAND\b(?!_)", r'<span style="color:#ffd000">AND</span>', esc) |
|
|
return f'<pre style="white-space:pre-wrap; font-family:monospace; line-height:1.3">{esc}</pre>' |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def _list_samplers() -> List[str]: |
|
|
try: |
|
|
return [x.name for x in sd_samplers.all_samplers] |
|
|
except Exception: |
|
|
return ["Euler a", "Euler", "DPM++ 2M Karras"] |
|
|
|
|
|
|
|
|
def _generate_txt2img(prompt: str, |
|
|
negative: str, |
|
|
steps: int, |
|
|
width: int, |
|
|
height: int, |
|
|
cfg_scale: float, |
|
|
seed: int, |
|
|
sampler_name: str, |
|
|
batch_count: int, |
|
|
batch_size: int, |
|
|
restore_faces: bool, |
|
|
tiling: bool) -> Tuple[List[Any], str]: |
|
|
try: |
|
|
p = processing.StableDiffusionProcessingTxt2Img( |
|
|
sd_model=shared.sd_model, |
|
|
prompt=prompt, |
|
|
negative_prompt=negative, |
|
|
steps=int(steps), |
|
|
width=int(width), |
|
|
height=int(height), |
|
|
cfg_scale=float(cfg_scale), |
|
|
seed=int(seed), |
|
|
sampler_name=sampler_name, |
|
|
n_iter=int(batch_count), |
|
|
batch_size=int(batch_size), |
|
|
restore_faces=restore_faces, |
|
|
tiling=tiling, |
|
|
do_not_save_grid=True, |
|
|
do_not_save_samples=True, |
|
|
) |
|
|
processed = processing.process_images(p) |
|
|
return processed.images, processed.info |
|
|
except Exception as e: |
|
|
return [], f"Ошибка генерации: {e}" |
|
|
|
|
|
|
|
|
def _generate_variants_with_placeholder(prompt: str, |
|
|
negative: str, |
|
|
placeholder: str, |
|
|
options_multiline: str, |
|
|
steps: int, |
|
|
width: int, |
|
|
height: int, |
|
|
cfg_scale: float, |
|
|
seed: int, |
|
|
sampler_name: str, |
|
|
restore_faces: bool, |
|
|
tiling: bool) -> Tuple[List[Any], str]: |
|
|
opts_list = [o.strip() for o in options_multiline.split("\n") if o.strip()] |
|
|
if not opts_list: |
|
|
return [], "Нет вариантов (пустой список)." |
|
|
images_all = [] |
|
|
infos = [] |
|
|
try: |
|
|
for i, opt_val in enumerate(opts_list, 1): |
|
|
pr = prompt.replace(placeholder, opt_val) |
|
|
p = processing.StableDiffusionProcessingTxt2Img( |
|
|
sd_model=shared.sd_model, |
|
|
prompt=pr, |
|
|
negative_prompt=negative, |
|
|
steps=int(steps), |
|
|
width=int(width), |
|
|
height=int(height), |
|
|
cfg_scale=float(cfg_scale), |
|
|
seed=int(seed + i - 1), |
|
|
sampler_name=sampler_name, |
|
|
n_iter=1, |
|
|
batch_size=1, |
|
|
restore_faces=restore_faces, |
|
|
tiling=tiling, |
|
|
do_not_save_grid=True, |
|
|
do_not_save_samples=True, |
|
|
) |
|
|
processed = processing.process_images(p) |
|
|
images_all.extend(processed.images or []) |
|
|
infos.append(f"[{i}] {opt_val} — seed={int(seed + i - 1)}") |
|
|
return images_all, "\n".join(infos) |
|
|
except Exception as e: |
|
|
return [], f"Ошибка генерации вариантов: {e}" |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
_AND_SPLIT_RX = re.compile(r"\bAND\b(?!_PERP|_SALT|_TOPK)") |
|
|
|
|
|
|
|
|
def and_debug_parse(src: str) -> List[Tuple[str, Optional[float]]]: |
|
|
parts = _AND_SPLIT_RX.split(src) |
|
|
out = [] |
|
|
for part in parts: |
|
|
part = part.strip() |
|
|
if not part: |
|
|
continue |
|
|
m = re.search(r"^(.*?)(?:\s*:\s*([+\-]?\d*\.?\d+(?:[eE][+\-]?\d+)?))?\s*$", part) |
|
|
if m: |
|
|
text = m.group(1).strip() |
|
|
w = float(m.group(2)) if m.group(2) is not None else None |
|
|
out.append((text, w)) |
|
|
else: |
|
|
out.append((part, None)) |
|
|
return out |
|
|
|
|
|
|
|
|
def and_debug_build(rows_text: str) -> str: |
|
|
lines = [ln.strip() for ln in rows_text.split("\n") if ln.strip()] |
|
|
parts = [] |
|
|
for ln in lines: |
|
|
m = re.match(r"^(.*?)(?:\s*:\s*([+\-]?\d*\.?\d+(?:[eE][+\-]?\d+)?))?$", ln) |
|
|
if m: |
|
|
t = m.group(1).strip() |
|
|
w = m.group(2) |
|
|
parts.append(f"{t} :{w}" if w else t) |
|
|
return " AND ".join(parts) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def _ve_default_boundaries(n_variants: int, steps: int, as_percent: bool) -> List[float]: |
|
|
"""Равномерные границы для n вариантов (n-1 границ). Возвращает шаги или проценты.""" |
|
|
if n_variants <= 1: |
|
|
return [] |
|
|
raw = [] |
|
|
for i in range(1, n_variants): |
|
|
b = round(i * steps / n_variants) |
|
|
if 0 < b < steps: |
|
|
raw.append(b) |
|
|
if as_percent: |
|
|
return [round(b * 100.0 / steps, 2) for b in raw] |
|
|
return raw |
|
|
|
|
|
|
|
|
def _ve_parse_variants(variants_multiline: str) -> List[str]: |
|
|
return [v.strip() for v in variants_multiline.split("\n") if v.strip()] |
|
|
|
|
|
|
|
|
def _ve_df_to_list(df_any: Any) -> List[List[Any]]: |
|
|
"""Приводим вход от gr.Dataframe к списку списков [[val], ...] для унифицированной обработки.""" |
|
|
try: |
|
|
import pandas as _pd |
|
|
if hasattr(df_any, "values") and isinstance(df_any, _pd.DataFrame): |
|
|
return df_any.values.tolist() |
|
|
except Exception: |
|
|
pass |
|
|
return df_any |
|
|
|
|
|
|
|
|
def _ve_normalize_boundaries(bound_list: Any, steps: int, as_percent: bool) -> Tuple[List[int], str]: |
|
|
""" |
|
|
Приводим user-ввод к отсортированным уникальным границам в шагах. |
|
|
Возвращаем (границы_в_шагах, warnings_text). |
|
|
""" |
|
|
warnings = [] |
|
|
bound_list = _ve_df_to_list(bound_list) |
|
|
vals: List[float] = [] |
|
|
for row in (bound_list or []): |
|
|
if isinstance(row, (list, tuple)) and row: |
|
|
v = row[0] |
|
|
else: |
|
|
v = row |
|
|
try: |
|
|
v = float(v) |
|
|
except Exception: |
|
|
continue |
|
|
if as_percent: |
|
|
if v <= 0: |
|
|
v = 0.01 |
|
|
if v >= 100: |
|
|
v = 99.99 |
|
|
v = v * steps / 100.0 |
|
|
v = int(round(v)) |
|
|
if v <= 0: |
|
|
v = 1 |
|
|
if v >= steps: |
|
|
v = steps - 1 |
|
|
vals.append(v) |
|
|
|
|
|
vals = sorted(set(vals)) |
|
|
vals = [v for v in vals if 0 < v < steps] |
|
|
if not vals and bound_list: |
|
|
warnings.append("Все границы вышли за допустимый диапазон и были удалены.") |
|
|
return vals, ("\n".join(f"- {w}" for w in warnings) if warnings else "") |
|
|
|
|
|
|
|
|
def _ve_build_scheduled_expr(variants: List[str], boundaries_steps: List[int], steps: int, as_percent: bool, reverse: bool) -> str: |
|
|
core = " : ".join(variants) |
|
|
if not boundaries_steps: |
|
|
expr = f"[ {core} ]" |
|
|
else: |
|
|
if as_percent: |
|
|
btxt = ", ".join(f"{int(round(b * 100.0 / steps))}%" for b in boundaries_steps) |
|
|
else: |
|
|
btxt = ", ".join(str(int(b)) for b in boundaries_steps) |
|
|
expr = f"[ {core} ] : {btxt}" |
|
|
if reverse: |
|
|
expr += " reverse" |
|
|
return expr |
|
|
|
|
|
|
|
|
def _ve_preview(variants_multiline: str, |
|
|
df_bounds: Any, |
|
|
steps: int, |
|
|
as_percent: bool, |
|
|
reverse: bool, |
|
|
seed: Optional[int], |
|
|
use_visitor: bool) -> Tuple[str, str, str, str]: |
|
|
""" |
|
|
Возвращает: (expr, schedule_md, timeline_md, status_md) |
|
|
""" |
|
|
variants = _ve_parse_variants(variants_multiline) |
|
|
if len(variants) == 0: |
|
|
return "", "", "", "**Введите хотя бы один вариант.**" |
|
|
|
|
|
|
|
|
try: |
|
|
import pandas as _pd |
|
|
has_bounds = (df_bounds.shape[0] > 0) if isinstance(df_bounds, _pd.DataFrame) else bool(df_bounds) |
|
|
except Exception: |
|
|
has_bounds = bool(df_bounds) |
|
|
if len(variants) == 1 and has_bounds: |
|
|
return "", "", "", "Один вариант не требует границ (игнор)." |
|
|
|
|
|
bound_steps, warn = _ve_normalize_boundaries(df_bounds, steps, as_percent) |
|
|
needed = max(0, len(variants) - 1) |
|
|
status_extra = "" |
|
|
if len(bound_steps) != needed: |
|
|
bound_steps = [int(round(i * steps / len(variants))) for i in range(1, len(variants))] |
|
|
status_extra = f"Ожидалось {needed} границ, пересчитано равномерно." |
|
|
|
|
|
expr = _ve_build_scheduled_expr(variants, bound_steps, steps, as_percent, reverse) |
|
|
|
|
|
try: |
|
|
schedule = pp.get_schedule(expr, steps, True, seed, use_visitor=use_visitor) |
|
|
sched_md = _schedule_table_md(schedule) |
|
|
timeline_md = _per_step_timeline_md(schedule, steps) |
|
|
status = "**OK**" |
|
|
if warn: |
|
|
status += f"\n\n_Предупреждения:_\n{warn}" |
|
|
if status_extra: |
|
|
status += f"\n\n_Замечание:_ {status_extra}" |
|
|
return expr, sched_md, timeline_md, status |
|
|
except Exception as e: |
|
|
return expr, "", "", f"**Ошибка предпросмотра:** {e}" |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def _ve_snap_to_magnets(df_bounds: Any, steps: int, as_percent: bool) -> List[List[float]]: |
|
|
""" |
|
|
Притягиваем каждую границу к ближайшей из {25%, 50%, 75%}. |
|
|
Возвращаем список списков [[val], ...] в текущем режиме отображения (%, либо шаги). |
|
|
""" |
|
|
bounds_list = _ve_df_to_list(df_bounds) |
|
|
step_targets = [int(round(steps * 0.25)), int(round(steps * 0.50)), int(round(steps * 0.75))] |
|
|
snapped: List[int] = [] |
|
|
for row in (bounds_list or []): |
|
|
v = row[0] if isinstance(row, (list, tuple)) and row else row |
|
|
try: |
|
|
v = float(v) |
|
|
except Exception: |
|
|
continue |
|
|
if as_percent: |
|
|
v = int(round(max(1.0, min(99.0, v)) * steps / 100.0)) |
|
|
else: |
|
|
v = int(round(v)) |
|
|
|
|
|
best = min(step_targets, key=lambda t: abs(t - v)) |
|
|
best = max(1, min(steps - 1, best)) |
|
|
snapped.append(best) |
|
|
snapped = sorted(set(snapped)) |
|
|
if as_percent: |
|
|
return [[round(b * 100.0 / steps, 2)] for b in snapped] |
|
|
return [[b] for b in snapped] |
|
|
|
|
|
|
|
|
def _ve_shift_all(df_bounds: Any, steps: int, as_percent: bool, delta_steps: int) -> List[List[float]]: |
|
|
""" |
|
|
Сдвигаем все границы на delta_steps (в шагах), клэмпим в [1, steps-1]. |
|
|
Возвращаем в текущем режиме отображения. |
|
|
""" |
|
|
bounds_list = _ve_df_to_list(df_bounds) |
|
|
shifted: List[int] = [] |
|
|
for row in (bounds_list or []): |
|
|
v = row[0] if isinstance(row, (list, tuple)) and row else row |
|
|
try: |
|
|
v = float(v) |
|
|
except Exception: |
|
|
continue |
|
|
if as_percent: |
|
|
v = v * steps / 100.0 |
|
|
b = int(round(v)) + int(delta_steps) |
|
|
b = max(1, min(steps - 1, b)) |
|
|
shifted.append(b) |
|
|
shifted = sorted(set(shifted)) |
|
|
if as_percent: |
|
|
return [[round(b * 100.0 / steps, 2)] for b in shifted] |
|
|
return [[b] for b in shifted] |
|
|
|
|
|
|
|
|
def _ve_export_csv(df_bounds: Any, steps: int, as_percent: bool) -> str: |
|
|
""" |
|
|
CSV с одной колонкой 'boundary' — значения либо в шагах, либо в % (по текущему режиму). |
|
|
""" |
|
|
bounds_list = _ve_df_to_list(df_bounds) |
|
|
lines = ["boundary"] |
|
|
for row in (bounds_list or []): |
|
|
v = row[0] if isinstance(row, (list, tuple)) and row else row |
|
|
try: |
|
|
v = float(v) |
|
|
except Exception: |
|
|
continue |
|
|
lines.append(str(v if as_percent else int(round(v)))) |
|
|
return "\n".join(lines) |
|
|
|
|
|
|
|
|
def _ve_export_json(df_bounds: Any, steps: int, as_percent: bool) -> str: |
|
|
""" |
|
|
JSON: {"mode": "percent"|"steps", "steps": <int>, "boundaries": [numbers]} |
|
|
""" |
|
|
bounds_list = _ve_df_to_list(df_bounds) |
|
|
vals: List[float] = [] |
|
|
for row in (bounds_list or []): |
|
|
v = row[0] if isinstance(row, (list, tuple)) and row else row |
|
|
try: |
|
|
v = float(v) |
|
|
except Exception: |
|
|
continue |
|
|
vals.append(v if as_percent else int(round(v))) |
|
|
data = {"mode": ("percent" if as_percent else "steps"), "steps": int(steps), "boundaries": vals} |
|
|
return json.dumps(data, ensure_ascii=False, indent=2) |
|
|
|
|
|
|
|
|
def _ve_import_intervals(text: str, steps: int, as_percent: bool, kind: str) -> List[List[float]]: |
|
|
""" |
|
|
Импортируем интервалы из CSV или JSON. Возвращаем [[val], ...] в текущем режиме отображения (as_percent). |
|
|
CSV: одна колонка boundary, без заголовка тоже допустимо (попробуем). |
|
|
JSON: {"mode": "...", "steps": S, "boundaries":[...]} |
|
|
""" |
|
|
vals_steps: List[int] = [] |
|
|
|
|
|
if kind == "CSV": |
|
|
rows = [ln.strip() for ln in (text or "").splitlines() if ln.strip()] |
|
|
if rows and rows[0].lower() == "boundary": |
|
|
rows = rows[1:] |
|
|
for r in rows: |
|
|
try: |
|
|
v = float(r) |
|
|
except Exception: |
|
|
continue |
|
|
if as_percent: |
|
|
vals_steps.append(int(round(max(0.01, min(99.99, v)) * steps / 100.0))) |
|
|
else: |
|
|
vals_steps.append(int(round(v))) |
|
|
else: |
|
|
try: |
|
|
obj = json.loads(text or "{}") |
|
|
except Exception: |
|
|
obj = {} |
|
|
mode = obj.get("mode", "steps") |
|
|
src_steps = int(obj.get("steps", steps) or steps) |
|
|
raw = obj.get("boundaries", []) or [] |
|
|
for v in raw: |
|
|
try: |
|
|
v = float(v) |
|
|
except Exception: |
|
|
continue |
|
|
if mode == "percent": |
|
|
vals_steps.append(int(round(max(0.01, min(99.99, v)) * steps / 100.0))) |
|
|
else: |
|
|
vals_steps.append(int(round(v))) |
|
|
|
|
|
vals_steps = sorted(set([max(1, min(steps - 1, int(v))) for v in vals_steps])) |
|
|
if as_percent: |
|
|
return [[round(v * 100.0 / steps, 2)] for v in vals_steps] |
|
|
return [[v] for v in vals_steps] |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def analyze(prompt: str, |
|
|
steps: int, |
|
|
seed: Optional[int], |
|
|
use_visitor: bool, |
|
|
allow_empty_alt: bool, |
|
|
expand_alt_per_step: bool, |
|
|
group_combo_limit: int, |
|
|
view_mode: str, |
|
|
at_step_n: int, |
|
|
enable_pre: bool) -> Tuple[str, str, str, str, str, str]: |
|
|
try: |
|
|
maybe_reload_prompt_parser(allow_empty_alt, expand_alt_per_step, group_combo_limit) |
|
|
except Exception as e: |
|
|
err = f"**Не удалось применить ENV-флаги:** {e}" |
|
|
return err, "", "", "", "", "" |
|
|
|
|
|
pre_md = "" |
|
|
if enable_pre: |
|
|
pre_out, pre_changes = preprocess_prompt(prompt, steps, True) |
|
|
if pre_changes: |
|
|
pre_md = "**Препроцессор применил изменения:**\n" + "\n".join([f"- {c}" for c in pre_changes]) + \ |
|
|
"\n\n" + mk_diff(prompt, pre_out, "original", "preprocessed") |
|
|
prompt = pre_out |
|
|
|
|
|
status_md = "" |
|
|
tree_md = "" |
|
|
schedule_md = "" |
|
|
timeline_md = "" |
|
|
text_at_step_md = "" |
|
|
|
|
|
tree_str, err_md = _safe_parse_tree(prompt) |
|
|
if err_md: |
|
|
status_md = err_md |
|
|
else: |
|
|
status_md = "**OK:** Парсинг прошёл успешно." |
|
|
if view_mode == "Parse tree": |
|
|
tree_md = "```\n" + tree_str + "\n```" |
|
|
|
|
|
schedule, sched_err = _make_schedule(prompt, steps, seed, use_visitor) |
|
|
if sched_err: |
|
|
status_md += "\n\n" + sched_err |
|
|
return status_md, "", "", "", pre_md, tree_md |
|
|
|
|
|
if view_mode in ("Schedule", "All"): |
|
|
schedule_md = _schedule_table_md(schedule) |
|
|
if view_mode in ("Timeline (per step)", "All"): |
|
|
timeline_md = _per_step_timeline_md(schedule, steps) |
|
|
|
|
|
try: |
|
|
t = pp.at_step_from_schedule(at_step_n, schedule) |
|
|
text_at_step_md = f"**Шаг {at_step_n}:** `{t}`" |
|
|
except Exception as e: |
|
|
text_at_step_md = f"Ошибка получения текста на шаге {at_step_n}: {e}" |
|
|
|
|
|
if view_mode == "Visitor vs Transformer": |
|
|
tree_md = _compare_vis_vs_trans(prompt, steps, seed) |
|
|
|
|
|
return status_md, schedule_md, timeline_md, text_at_step_md, pre_md, tree_md |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def export_project(an_src, steps, seed, use_visitor, |
|
|
allow_empty, expand_alt, group_limit, |
|
|
gen_cfg) -> str: |
|
|
data = { |
|
|
"analyzer": { |
|
|
"prompt": an_src, |
|
|
"steps": int(steps), |
|
|
"seed": int(seed) if seed is not None else None, |
|
|
"use_visitor": bool(use_visitor), |
|
|
"ALLOW_EMPTY_ALTERNATE": bool(allow_empty), |
|
|
"EXPAND_ALTERNATE_PER_STEP": bool(expand_alt), |
|
|
"GROUP_COMBO_LIMIT": int(group_limit), |
|
|
}, |
|
|
"generate": { |
|
|
"single": { |
|
|
"width": int(gen_cfg["w"]), |
|
|
"height": int(gen_cfg["h"]), |
|
|
"steps": int(gen_cfg["steps"]), |
|
|
"cfg": float(gen_cfg["cfg"]), |
|
|
"seed": int(gen_cfg["seed"]), |
|
|
"sampler": gen_cfg["sampler"], |
|
|
"batch_count": int(gen_cfg["bc"]), |
|
|
"batch_size": int(gen_cfg["bs"]), |
|
|
"restore_faces": bool(gen_cfg["rf"]), |
|
|
"tiling": bool(gen_cfg["tl"]), |
|
|
} |
|
|
} |
|
|
} |
|
|
return json.dumps(data, ensure_ascii=False, indent=2) |
|
|
|
|
|
|
|
|
def import_project(text: str): |
|
|
try: |
|
|
data = json.loads(text) |
|
|
a = data.get("analyzer", {}) |
|
|
g = data.get("generate", {}).get("single", {}) |
|
|
return ( |
|
|
a.get("prompt", ""), |
|
|
int(a.get("steps", 50)), |
|
|
int(a.get("seed", 42)) if a.get("seed") is not None else 42, |
|
|
bool(a.get("use_visitor", True)), |
|
|
bool(a.get("ALLOW_EMPTY_ALTERNATE", False)), |
|
|
bool(a.get("EXPAND_ALTERNATE_PER_STEP", True)), |
|
|
int(a.get("GROUP_COMBO_LIMIT", 100)), |
|
|
int(g.get("width", 512)), |
|
|
int(g.get("height", 768)), |
|
|
int(g.get("steps", 30)), |
|
|
float(g.get("cfg", 7.0)), |
|
|
int(g.get("seed", 42)), |
|
|
str(g.get("sampler", _list_samplers()[0])), |
|
|
int(g.get("batch_count", 1)), |
|
|
int(g.get("batch_size", 1)), |
|
|
bool(g.get("restore_faces", False)), |
|
|
bool(g.get("tiling", False)), |
|
|
) |
|
|
except Exception: |
|
|
return ("", 50, 42, True, False, True, 100, 512, 768, 30, 7.0, 42, _list_samplers()[0], 1, 1, False, False) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class PromptParserAnalyzerScript(scripts.Script): |
|
|
def title(self): |
|
|
return "Prompt Parser Analyzer" |
|
|
|
|
|
def show(self, is_txt2img): |
|
|
return scripts.AlwaysVisible |
|
|
|
|
|
def ui(self, is_txt2img): |
|
|
with gr.Group(): |
|
|
with gr.Accordion("Prompt Parser Analyzer", open=False): |
|
|
with gr.Tabs(): |
|
|
|
|
|
|
|
|
with gr.Tab("Analyzer"): |
|
|
prompt_in = gr.Textbox(label="Source Prompt", lines=6, placeholder="Вставьте промпт…") |
|
|
with gr.Row(): |
|
|
steps = gr.Slider(1, 300, value=50, step=1, label="Steps") |
|
|
seed = gr.Number(value=42, precision=0, label="Seed (для случайных конструкций)") |
|
|
at_step_n = gr.Slider(1, 300, value=25, step=1, label="Показать текст на шаге N") |
|
|
with gr.Row(): |
|
|
use_visitor = gr.Checkbox(value=True, label="use_visitor (быстрее; alternate2 может отличаться)") |
|
|
view_mode = gr.Dropdown( |
|
|
choices=["All", "Schedule", "Timeline (per step)", "Parse tree", "Visitor vs Transformer"], |
|
|
value="All", |
|
|
label="Режим вывода", |
|
|
) |
|
|
with gr.Row(): |
|
|
allow_empty_alt = gr.Checkbox(value=False, label="ALLOW_EMPTY_ALTERNATE (разрешать пустые [a||b])") |
|
|
expand_alt = gr.Checkbox(value=True, label="EXPAND_ALTERNATE_PER_STEP (чередовать по шагам)") |
|
|
group_limit = gr.Slider(1, 5000, value=100, step=1, label="GROUP_COMBO_LIMIT") |
|
|
enable_pre = gr.Checkbox(value=True, label="Enable Preprocessor (синтаксический сахар)") |
|
|
analyze_btn = gr.Button("Analyze", variant="primary") |
|
|
|
|
|
status_md = gr.Markdown() |
|
|
schedule_md = gr.Markdown() |
|
|
timeline_md = gr.Markdown() |
|
|
text_at_step_md = gr.Markdown() |
|
|
pre_md = gr.Markdown() |
|
|
tree_md = gr.Markdown() |
|
|
|
|
|
gr.Markdown("#### Подсветка синтаксиса") |
|
|
highlight_html = gr.HTML() |
|
|
|
|
|
|
|
|
with gr.Tab("Grammar & Examples"): |
|
|
gr.Markdown(""" |
|
|
### Полная справка по синтаксису |
|
|
|
|
|
**() Круглые скобки — внимание/вес** |
|
|
- `(text)` — повышает вес по умолчанию (как в A1111). |
|
|
- `(text:1.2)` — явный вес. Разрешены и научные записи: `1e-2`. |
|
|
- Можно вкладывать: `((detail:1.3):1.1)`. |
|
|
- Ошибки: несбалансированные скобки; `:а` вместо числа. |
|
|
|
|
|
**{} Фигурные скобки — группы** |
|
|
- Без `|` внутри — просто «склеить вместе»: `{a, b, c}` → `a, b, c` (второй парсер не добавляет «магию»). |
|
|
- С `|` внутри — *комбинаторика*: `{a|b, c|d}` → `a, c`; `a, d`; `b, c`; `b, d` (до лимита `GROUP_COMBO_LIMIT`). |
|
|
- Можно вкладывать группы. |
|
|
- Недопустимо: пустая группа в критичных местах `{} ` (лучше избегать). |
|
|
|
|
|
**[] Квадратные скобки — альтернативы (alternate)** |
|
|
- `[a|b|c]` — «карусель» по шагам (если `EXPAND_ALTERNATE_PER_STEP=1`) или фиксированный выбор (если 0). |
|
|
- `[a|b]!` — *distinct*: выбрать **один** вариант на весь прогон. |
|
|
- `ALLOW_EMPTY_ALTERNATE=1` — позволяет пустые опции: `[a||b]`. |
|
|
- Ошибки: забыли `[]` и пишете просто `a|b` — это уже другой тип (alternate1/2). |
|
|
|
|
|
**Scheduled блоки — по шагам** |
|
|
- `[ a : b : c ] : 20%, 70%` — границы включаются снаружи через `:`. |
|
|
- Допустимы проценты (`30%`), шаги (`40`), диапазоны (`10-25`, `60%-80%`), `reverse`. |
|
|
- Пример: `[ sketch : lines : color ] : 5, 15 reverse`. |
|
|
- Ошибки: число границ должно быть **N-1** для **N** вариантов; мы подсказываем и правим равномерно. |
|
|
|
|
|
**Numbered — взять N вариантов** |
|
|
- `3 { a | b | c | d }` — выбрать 3 (с повторениями). |
|
|
- `3! { a | b | c | d }` — выбрать 3 **уникальных** (без повторений). |
|
|
- Тело может быть и в `[]` (если нужна пошаговая карусель). |
|
|
|
|
|
**Sequence (::) и Top-level (::: … !!)** |
|
|
- `owner :: key1 :: val1, key2 :: val2 !` — заканчивайте `!` или `;`. |
|
|
- Top-level: `owner ::: key :: val, key2 :: val2 !!, trailing plain`. |
|
|
- Ошибка: забыли `!`/`;`/`!!`. |
|
|
|
|
|
**AND-оператор** |
|
|
- `cat :0.7 AND dog :1.2 AND background :0.5` |
|
|
- Не режет `AND_PERP/AND_SALT/AND_TOPK`. |
|
|
- Ошибка: если это просто слово «and» в тексте — используйте запятую. |
|
|
|
|
|
Ниже — интерактивные тесты. Задайте свои примеры и жмите **Test**: увидите статус, Parse tree, Schedule, Timeline и подсветку. |
|
|
""") |
|
|
with gr.Row(): |
|
|
g_steps = gr.Slider(1, 300, value=50, step=1, label="Steps (для тестов)") |
|
|
g_seed = gr.Number(value=42, precision=0, label="Seed") |
|
|
g_at = gr.Slider(1, 300, value=25, step=1, label="Шаг N (preview)") |
|
|
with gr.Row(): |
|
|
g_use_visitor = gr.Checkbox(value=True, label="use_visitor") |
|
|
g_allow_empty = gr.Checkbox(value=False, label="ALLOW_EMPTY_ALTERNATE") |
|
|
g_expand = gr.Checkbox(value=True, label="EXPAND_ALTERNATE_PER_STEP") |
|
|
g_glimit = gr.Slider(1, 5000, value=100, step=1, label="GROUP_COMBO_LIMIT") |
|
|
g_pre = gr.Checkbox(value=False, label="Preprocessor (сахар)") |
|
|
|
|
|
def _grammar_test(prompt, steps, seed, use_vis, allow_empty, expand, glimit, atn, pre): |
|
|
st, sch, tl, at, premd, tree = analyze(prompt, int(steps), int(seed), bool(use_vis), |
|
|
bool(allow_empty), bool(expand), int(glimit), |
|
|
"All", int(atn), bool(pre)) |
|
|
return st, tree, sch, tl, at, highlight_prompt_html(prompt if not pre else preprocess_prompt(prompt, int(steps), True)[0]) |
|
|
|
|
|
|
|
|
with gr.Accordion("() Emphasis / Attention", open=False): |
|
|
a_paren = gr.Textbox(value="masterpiece, (detailed skin:1.2), (soft light)", lines=3, label="Prompt") |
|
|
a_btn = gr.Button("Test ()") |
|
|
a_stat = gr.Markdown() |
|
|
a_tree = gr.Markdown() |
|
|
a_sched = gr.Markdown() |
|
|
a_time = gr.Markdown() |
|
|
a_at = gr.Markdown() |
|
|
a_high = gr.HTML() |
|
|
a_btn.click(_grammar_test, [a_paren, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[a_stat, a_tree, a_sched, a_time, a_at, a_high]) |
|
|
|
|
|
|
|
|
with gr.Accordion("{} Groups (dead / combos)", open=False): |
|
|
b_group = gr.Textbox(value="{red dress, windy street}, {blue jeans, rainy night}", lines=3, label="Prompt (dead groups)") |
|
|
b_btn = gr.Button("Test {} (dead)") |
|
|
b_stat = gr.Markdown(); b_tree = gr.Markdown(); b_sched = gr.Markdown(); b_time = gr.Markdown(); b_at = gr.Markdown(); b_high = gr.HTML() |
|
|
b_btn.click(_grammar_test, [b_group, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[b_stat, b_tree, b_sched, b_time, b_at, b_high]) |
|
|
|
|
|
b2_group = gr.Textbox(value="{red|blue, jeans|skirt}", lines=3, label="Prompt (with | → combos)") |
|
|
b2_btn = gr.Button("Test {} (combos)") |
|
|
b2_stat = gr.Markdown(); b2_tree = gr.Markdown(); b2_sched = gr.Markdown(); b2_time = gr.Markdown(); b2_at = gr.Markdown(); b2_high = gr.HTML() |
|
|
|
|
|
b2_btn.click(_grammar_test, [b2_group, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[b2_stat, b2_tree, b2_sched, b2_time, b2_at, b2_high]) |
|
|
|
|
|
|
|
|
with gr.Accordion("[] Alternates / Distinct", open=False): |
|
|
c_alt = gr.Textbox(value="[red|blue|green] dress", lines=2, label="Prompt") |
|
|
c_btn = gr.Button("Test []") |
|
|
c_stat = gr.Markdown(); c_tree = gr.Markdown(); c_sched = gr.Markdown(); c_time = gr.Markdown(); c_at = gr.Markdown(); c_high = gr.HTML() |
|
|
c_btn.click(_grammar_test, [c_alt, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[c_stat, c_tree, c_sched, c_time, c_at, c_high]) |
|
|
|
|
|
c2_alt = gr.Textbox(value="[hair up|hair down]!", lines=2, label="Prompt (distinct)") |
|
|
c2_btn = gr.Button("Test []!") |
|
|
c2_stat = gr.Markdown(); c2_tree = gr.Markdown(); c2_sched = gr.Markdown(); c2_time = gr.Markdown(); c2_at = gr.Markdown(); c2_high = gr.HTML() |
|
|
c2_btn.click(_grammar_test, [c2_alt, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[c2_stat, c2_tree, c2_sched, c2_time, c2_at, c2_high]) |
|
|
|
|
|
|
|
|
with gr.Accordion("Scheduled [ ... ] : boundaries (steps/%, ranges, reverse)", open=False): |
|
|
d_sched = gr.Textbox(value="[ morning : afternoon : night ] : 20%, 70%", lines=2, label="Prompt") |
|
|
d_btn = gr.Button("Test scheduled") |
|
|
d_stat = gr.Markdown(); d_tree = gr.Markdown(); d_sched_md = gr.Markdown(); d_time = gr.Markdown(); d_at = gr.Markdown(); d_high = gr.HTML() |
|
|
d_btn.click(_grammar_test, [d_sched, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[d_stat, d_tree, d_sched_md, d_time, d_at, d_high]) |
|
|
|
|
|
d2_sched = gr.Textbox(value="[ sketch : lines : color ] : 5, 15 reverse", lines=2, label="Prompt (reverse)") |
|
|
d2_btn = gr.Button("Test scheduled (reverse)") |
|
|
d2_stat = gr.Markdown(); d2_tree = gr.Markdown(); d2_sched_md = gr.Markdown(); d2_time = gr.Markdown(); d2_at = gr.Markdown(); d2_high = gr.HTML() |
|
|
|
|
|
d2_btn.click(_grammar_test, [d2_sched, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[d2_stat, d2_tree, d2_sched_md, d2_time, d2_at, d2_high]) |
|
|
|
|
|
|
|
|
with gr.Accordion("Numbered N / N! { ... }", open=False): |
|
|
e_num = gr.Textbox(value="3! { red | blue | green | yellow }", lines=2, label="Prompt") |
|
|
e_btn = gr.Button("Test numbered") |
|
|
e_stat = gr.Markdown(); e_tree = gr.Markdown(); e_sched = gr.Markdown(); e_time = gr.Markdown(); e_at = gr.Markdown(); e_high = gr.HTML() |
|
|
e_btn.click(_grammar_test, [e_num, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[e_stat, e_tree, e_sched, e_time, e_at, e_high]) |
|
|
|
|
|
|
|
|
with gr.Accordion("Sequence (::) / Top-level (::: … !!)", open=False): |
|
|
f_seq = gr.Textbox(value="character :: outfit :: leather jacket, mood :: brooding !", lines=2, label="Prompt (:: ... !)") |
|
|
f_btn = gr.Button("Test sequence") |
|
|
f_stat = gr.Markdown(); f_tree = gr.Markdown(); f_sched = gr.Markdown(); f_time = gr.Markdown(); f_at = gr.Markdown(); f_high = gr.HTML() |
|
|
f_btn.click(_grammar_test, [f_seq, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[f_stat, f_tree, f_sched, f_time, f_at, f_high]) |
|
|
|
|
|
f2_seq = gr.Textbox(value="portrait ::: hair :: auburn, eyes :: blue !!, ultra-detailed", lines=2, label="Prompt (::: ... !!)") |
|
|
f2_btn = gr.Button("Test top-level sequence") |
|
|
f2_stat = gr.Markdown(); f2_tree = gr.Markdown(); f2_sched = gr.Markdown(); f2_time = gr.Markdown(); f2_at = gr.Markdown(); f2_high = gr.HTML() |
|
|
f2_btn.click(_grammar_test, [f2_seq, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[f2_stat, f2_tree, f2_sched, f2_time, f2_at, f2_high]) |
|
|
|
|
|
|
|
|
with gr.Accordion("AND operator", open=False): |
|
|
g_and = gr.Textbox(value="cat :0.7 AND dog :1.3 AND background :0.5", lines=2, label="Prompt") |
|
|
g_btn = gr.Button("Test AND") |
|
|
g_stat = gr.Markdown(); g_tree = gr.Markdown(); g_sched_md = gr.Markdown(); g_time = gr.Markdown(); g_atxt = gr.Markdown(); g_highl = gr.HTML() |
|
|
g_btn.click(_grammar_test, [g_and, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[g_stat, g_tree, g_sched_md, g_time, g_atxt, g_highl]) |
|
|
|
|
|
|
|
|
with gr.Accordion("Plain text", open=False): |
|
|
h_plain = gr.Textbox(value="simple photo of a cat in a park, golden hour lighting", lines=2, label="Prompt") |
|
|
h_btn = gr.Button("Test plain") |
|
|
h_stat = gr.Markdown(); h_tree = gr.Markdown(); h_sched = gr.Markdown(); h_time = gr.Markdown(); h_at = gr.Markdown(); h_high = gr.HTML() |
|
|
h_btn.click(_grammar_test, [h_plain, g_steps, g_seed, g_use_visitor, g_allow_empty, g_expand, g_glimit, g_at, g_pre], |
|
|
[h_stat, h_tree, h_sched, h_time, h_at, h_high]) |
|
|
|
|
|
|
|
|
|
|
|
with gr.Tab("Blueprints / Composer"): |
|
|
import json, os |
|
|
bps = blueprints.get_blueprints() |
|
|
bp_ids = [bp.id for bp in bps] |
|
|
bp_select = gr.Dropdown(choices=bp_ids, value=bp_ids[0], label="Blueprint") |
|
|
bp_values = gr.Textbox(label="Values (JSON)", lines=8) |
|
|
bp_pairs = gr.Textbox(label="Pairs helper (key=val per line, optional)", lines=4) |
|
|
with gr.Row(): |
|
|
bp_make_btn = gr.Button("Assemble", variant="primary") |
|
|
bp_validate_btn = gr.Button("Validate only") |
|
|
bp_out = gr.Textbox(label="Output prompt", lines=6) |
|
|
bp_lints_md = gr.Markdown() |
|
|
|
|
|
def _bp_default_json(bp_id): |
|
|
bp = next(b for b in bps if b.id==bp_id) |
|
|
vals = {} |
|
|
for f in bp.fields: |
|
|
if f.default is not None: |
|
|
vals[f.name]=f.default |
|
|
else: |
|
|
vals[f.name]=([] if f.kind in ("list","choice") else "") |
|
|
if "pairs" in vals and not vals["pairs"]: |
|
|
vals["pairs"] = [{"key":"hair","val":"auburn"},{"key":"eyes","val":"blue"}] |
|
|
return json.dumps(vals, ensure_ascii=False, indent=2) |
|
|
|
|
|
bp_values.value = _bp_default_json(bp_ids[0]) |
|
|
bp_select.change(_bp_default_json, bp_select, bp_values, queue=False) |
|
|
|
|
|
def _bp_parse_pairs(s): |
|
|
res=[] |
|
|
for line in (s or "").splitlines(): |
|
|
if "=" in line: |
|
|
k,v = line.split("=",1) |
|
|
res.append({"key":k.strip(), "val":v.strip()}) |
|
|
return res |
|
|
|
|
|
def _bp_assemble(bp_id, values_json, pairs_helper): |
|
|
try: |
|
|
vals=json.loads(values_json or "{}") |
|
|
except Exception as e: |
|
|
return "", f"**JSON error:** {e}" |
|
|
bp = next(b for b in bps if b.id==bp_id) |
|
|
if "pairs" in [f.name for f in bp.fields] and (pairs_helper or "").strip(): |
|
|
vals["pairs"] = _bp_parse_pairs(pairs_helper) |
|
|
msgs=[] |
|
|
for c in bp.constraints: |
|
|
try: |
|
|
ok=c.check(vals) |
|
|
except Exception: |
|
|
ok=False |
|
|
if not ok: msgs.append(f"- {c.message}") |
|
|
if msgs: |
|
|
return "", "### Violations\n" + "\n".join(msgs) |
|
|
out = bp.assemble(vals) |
|
|
lint_msgs=[] |
|
|
for issue in linting.run_lints(out): |
|
|
lint_msgs.append(f"- **{issue.code}**: {issue.msg} @{issue.span}") |
|
|
return out, ("\n".join(lint_msgs) or "Нет предупреждений") |
|
|
|
|
|
bp_make_btn.click(_bp_assemble, [bp_select, bp_values, bp_pairs], [bp_out, bp_lints_md], queue=False) |
|
|
bp_validate_btn.click(lambda a,b,c: _bp_assemble(a,b,c)[1], [bp_select, bp_values, bp_pairs], bp_lints_md, queue=False) |
|
|
|
|
|
with gr.Tab("Checks / QuickProof"): |
|
|
import json, os |
|
|
from modules import prompt_parser as pp |
|
|
|
|
|
qp_in = gr.Textbox(label="Input prompt", lines=6) |
|
|
with gr.Row(): |
|
|
qp_steps = gr.Slider(1, 300, value=50, step=1, label="Steps") |
|
|
qp_seed = gr.Number(value=42, precision=0, label="Seed") |
|
|
qp_expected = gr.Textbox(label="Expected canonical (schedule JSON)", lines=8) |
|
|
with gr.Row(): |
|
|
qp_run = gr.Button("Run", variant="primary") |
|
|
qp_save = gr.Button("Save case (.json)") |
|
|
qp_result = gr.Markdown() |
|
|
qp_diff = gr.Markdown() |
|
|
qp_path = gr.Textbox(label="Save path", value="quickproof/case1.json") |
|
|
|
|
|
def _qp_canon(prompt, steps, seed): |
|
|
try: |
|
|
sched = pp.get_schedule(prompt, int(steps), True, int(seed), use_visitor=True) |
|
|
return quickproof.canonical_schedule_json(sched) |
|
|
except Exception as e: |
|
|
return f"**Error:** {e}" |
|
|
|
|
|
def _qp_run(inp, steps, seed, expected): |
|
|
canon = _qp_canon(inp, steps, seed) |
|
|
if expected.strip(): |
|
|
ok, diff = quickproof.compare_canonical(expected, canon) |
|
|
head = "✅ OK" if ok else "❌ Mismatch" |
|
|
body = ("```diff\n"+diff+"\n```") if diff else "" |
|
|
return head, body |
|
|
else: |
|
|
return "Canonical:", "```json\n"+canon+"\n```" |
|
|
|
|
|
def _qp_save(inp, steps, seed, expected, path): |
|
|
os.makedirs(os.path.dirname(path), exist_ok=True) |
|
|
case={"input":inp, "steps":int(steps), "seed":int(seed), "expected_canonical":expected} |
|
|
quickproof.save_case(path, case) |
|
|
return f"Saved to **{path}**" |
|
|
|
|
|
qp_run.click(_qp_run, [qp_in, qp_steps, qp_seed, qp_expected], [qp_result, qp_diff], queue=False) |
|
|
qp_save.click(_qp_save, [qp_in, qp_steps, qp_seed, qp_expected, qp_path], qp_result, queue=False) |
|
|
|
|
|
with gr.Tab("Lint Registry"): |
|
|
lint_src = gr.Textbox(label="Text to lint", lines=6) |
|
|
with gr.Row(): |
|
|
lint_run = gr.Button("Run lints") |
|
|
lint_fix_break = gr.Button("Autofix BREAK spacing") |
|
|
lint_out = gr.Markdown() |
|
|
|
|
|
lint_run.click(lambda s: "\n".join([f"- **{i.code}**: {i.msg} @{i.span}" for i in linting.run_lints(s)]) or "Нет предупреждений", lint_src, lint_out, queue=False) |
|
|
def _fix_break(s): |
|
|
out=s |
|
|
for i in linting.run_lints(s): |
|
|
if i.code=="BREAK_SPACE" and i.autofix: |
|
|
out=i.autofix(out) |
|
|
return out |
|
|
lint_fix_break.click(_fix_break, lint_src, lint_src, queue=False) |
|
|
with gr.Tab("Lint / Fix"): |
|
|
lint_src = gr.Textbox(label="Prompt для проверки", lines=6, placeholder="Вставьте промпт…") |
|
|
with gr.Row(): |
|
|
lint_use_visitor = gr.Checkbox(value=True, label="use_visitor (для эвристик)") |
|
|
lint_btn = gr.Button("Run Lint", variant="primary") |
|
|
fix_btn = gr.Button("Apply Safe Fixes") |
|
|
lint_report = gr.Markdown() |
|
|
fixed_out = gr.Textbox(label="Fixed Prompt (предпросмотр)", lines=6) |
|
|
diff_md = gr.Markdown() |
|
|
|
|
|
|
|
|
with gr.Tab("Scheduler"): |
|
|
gr.Markdown("Соберите `scheduled`: варианты по строкам, интервалы (%, шаги), опционально `reverse`.") |
|
|
sched_variants = gr.Textbox(label="Варианты (каждый с новой строки)", value="A\nB\nC", lines=6) |
|
|
sched_ranges = gr.Textbox(label="Интервалы", placeholder="30, 70 или 10%-30%, 60-80") |
|
|
sched_reverse = gr.Checkbox(value=False, label="reverse") |
|
|
build_sched_btn = gr.Button("Build [ ... ] : ranges", variant="primary") |
|
|
sched_expr = gr.Textbox(label="Результат", lines=2) |
|
|
gr.Markdown("---") |
|
|
gr.Markdown("Альтернативы: детерминированный переключатель каждые K шагов (строится через scheduled).") |
|
|
alt_bar = gr.Textbox(label="Опции (через |)", value="red|blue|green") |
|
|
k_steps = gr.Slider(1, 100, value=10, step=1, label="K (каждые K шагов)") |
|
|
total_steps_for_k = gr.Slider(1, 300, value=50, step=1, label="Steps (для расчёта границ)") |
|
|
build_every_k = gr.Button("Build alternate every K", variant="secondary") |
|
|
every_k_expr = gr.Textbox(label="Результат", lines=2) |
|
|
|
|
|
|
|
|
gr.Markdown("## Interval Editor (visual)") |
|
|
with gr.Row(): |
|
|
ve_variants = gr.Textbox( |
|
|
label="Варианты (каждый с новой строки)", |
|
|
value="Look A\nLook B\nLook C", |
|
|
lines=6, |
|
|
show_label=True, |
|
|
) |
|
|
with gr.Column(): |
|
|
ve_steps = gr.Slider(1, 300, value=50, step=1, label="Steps (для предпросмотра)") |
|
|
ve_as_percent = gr.Checkbox(value=False, label="Редактировать в % (иначе — в шагах)") |
|
|
ve_reverse = gr.Checkbox(value=False, label="reverse") |
|
|
ve_use_visitor = gr.Checkbox(value=True, label="use_visitor") |
|
|
ve_seed = gr.Number(value=42, precision=0, label="Seed") |
|
|
gr.Markdown("**Границы:** задайте N-1 границ для N вариантов. В процентах или шагах — по переключателю выше.") |
|
|
ve_df = gr.Dataframe( |
|
|
headers=["boundary"], |
|
|
datatype=["number"], |
|
|
row_count=(0, "dynamic"), |
|
|
col_count=1, |
|
|
label="Boundary list", |
|
|
interactive=True, |
|
|
type="pandas" |
|
|
) |
|
|
with gr.Row(): |
|
|
ve_init = gr.Button("Init (по вариантам)") |
|
|
ve_even = gr.Button("Равномерно") |
|
|
ve_sort = gr.Button("Сортировать/Клэмп") |
|
|
with gr.Row(): |
|
|
ve_snap = gr.Button("Snap → 25/50/75%") |
|
|
ve_minus1 = gr.Button("−1 шаг") |
|
|
ve_plus1 = gr.Button("+1 шаг") |
|
|
with gr.Row(): |
|
|
ve_exp_csv = gr.Button("Export CSV") |
|
|
ve_exp_json = gr.Button("Export JSON") |
|
|
ve_imp_kind = gr.Dropdown(choices=["CSV", "JSON"], value="CSV", label="Import format") |
|
|
ve_imp_text = gr.Textbox(label="Paste CSV/JSON here и нажмите Import", lines=6) |
|
|
ve_imp_btn = gr.Button("Import", variant="secondary") |
|
|
|
|
|
ve_expr = gr.Textbox(label="Собранный scheduled-выражение", lines=2) |
|
|
ve_status = gr.Markdown() |
|
|
ve_sched_md = gr.Markdown() |
|
|
ve_timeline_md = gr.Markdown() |
|
|
ve_export_out = gr.Textbox(label="Exported Intervals (CSV/JSON)", lines=8) |
|
|
|
|
|
|
|
|
with gr.Tab("Converters / Presets"): |
|
|
conv_src = gr.Textbox(label="Prompt для преобразования", lines=6) |
|
|
with gr.Row(): |
|
|
conv_dead = gr.Button("Dead groups → plain") |
|
|
conv_bars = gr.Button("a|b → [a|b]") |
|
|
conv_seq_term = gr.Button("Sequence: добавить терминатор") |
|
|
conv_out = gr.Textbox(label="Результат", lines=6) |
|
|
|
|
|
gr.Markdown("---") |
|
|
gr.Markdown("Конструкторы Lark") |
|
|
with gr.Row(): |
|
|
grp_items = gr.Textbox(label="Group items (через запятую)", placeholder="a, b, c") |
|
|
grp_out = gr.Textbox(label="Результат", lines=2) |
|
|
grp_btn = gr.Button("Build {group}") |
|
|
with gr.Row(): |
|
|
alt_items = gr.Textbox(label="Alternates (через |)", placeholder="a|b|c") |
|
|
alt_distinct = gr.Checkbox(value=False, label="distinct (!)") |
|
|
alt_out = gr.Textbox(label="Результат", lines=2) |
|
|
alt_btn = gr.Button("Build [alternate]") |
|
|
with gr.Row(): |
|
|
num_n = gr.Number(value=3, precision=0, label="N (сколько взять)") |
|
|
num_body = gr.Textbox(label="Опции: '{...}' или 'a|b|c'", placeholder="{ a | b | c } или a|b|c") |
|
|
num_distinct = gr.Checkbox(value=True, label="distinct (!)") |
|
|
num_out = gr.Textbox(label="Результат", lines=2) |
|
|
num_btn = gr.Button("Build numbered") |
|
|
with gr.Row(): |
|
|
seq_owner = gr.Textbox(label="Sequence owner", value="character") |
|
|
seq_pairs = gr.Textbox(label="Sequence pairs (k:v; k:v)", value="outfit: leather jacket; mood: brooding") |
|
|
seq_term = gr.Dropdown(choices=["!", ";"], value="!", label="Terminator") |
|
|
seq_out = gr.Textbox(label="Результат", lines=2) |
|
|
seq_btn = gr.Button("Build sequence") |
|
|
with gr.Row(): |
|
|
top_owner = gr.Textbox(label="Top-level owner", value="portrait") |
|
|
top_pairs = gr.Textbox(label="Pairs (k:v; k:v)", value="hair: auburn; eyes: blue") |
|
|
top_tail = gr.Textbox(label="Trailing plain (опционально)", value="ultra-detailed skin texture") |
|
|
top_out = gr.Textbox(label="Результат", lines=2) |
|
|
top_btn = gr.Button("Build top-level sequence") |
|
|
|
|
|
|
|
|
with gr.Tab("Export / Diff / Project"): |
|
|
exp_src = gr.Textbox(label="Prompt (источник для экспорта)", lines=6) |
|
|
with gr.Row(): |
|
|
exp_steps = gr.Slider(1, 300, value=50, step=1, label="Steps") |
|
|
exp_seed = gr.Number(value=42, precision=0, label="Seed") |
|
|
exp_use_visitor = gr.Checkbox(value=True, label="use_visitor") |
|
|
exp_btn = gr.Button("Build schedule/timeline", variant="primary") |
|
|
exp_sched_csv = gr.Textbox(label="Schedule CSV", lines=6) |
|
|
exp_sched_json = gr.Textbox(label="Schedule JSON", lines=8) |
|
|
exp_timeline_csv = gr.Textbox(label="Timeline CSV", lines=8) |
|
|
copy_md_btn = gr.Button("Copy Markdown of schedule/timeline (ниже)") |
|
|
exp_sched_md = gr.Markdown() |
|
|
exp_timeline_md = gr.Markdown() |
|
|
|
|
|
gr.Markdown("---") |
|
|
gr.Markdown("### Project JSON") |
|
|
proj_export_btn = gr.Button("Export Project JSON") |
|
|
proj_json = gr.Textbox(label="Project JSON", lines=14) |
|
|
proj_import_btn = gr.Button("Import Project JSON") |
|
|
proj_status = gr.Markdown() |
|
|
|
|
|
|
|
|
with gr.Tab("AND Debugger"): |
|
|
and_src = gr.Textbox(label="AND-chain prompt", lines=6) |
|
|
and_parse_btn = gr.Button("Parse AND chain") |
|
|
and_table = gr.Markdown() |
|
|
and_builder_txt = gr.Textbox(label="Builder: text[:weight] на каждой строке", lines=6) |
|
|
and_build_btn = gr.Button("Build AND chain") |
|
|
and_out = gr.Textbox(label="Результат", lines=2) |
|
|
|
|
|
|
|
|
with gr.Tab("Generate"): |
|
|
gr.Markdown("### Single") |
|
|
gen_prompt = gr.Textbox(label="Prompt", lines=6, placeholder="Возьмём из Analyzer → Source Prompt, можно отредактировать") |
|
|
gen_negative = gr.Textbox(label="Negative", lines=4, value="") |
|
|
with gr.Row(): |
|
|
gen_width = gr.Slider(64, 1536, value=512, step=64, label="Width") |
|
|
gen_height = gr.Slider(64, 1536, value=768, step=64, label="Height") |
|
|
gen_steps = gr.Slider(1, 300, value=30, step=1, label="Steps") |
|
|
with gr.Row(): |
|
|
gen_cfg = gr.Slider(1, 20, value=7.0, step=0.5, label="CFG") |
|
|
gen_seed = gr.Number(value=42, precision=0, label="Seed") |
|
|
gen_sampler = gr.Dropdown(choices=_list_samplers(), value=_list_samplers()[0], label="Sampler") |
|
|
with gr.Row(): |
|
|
gen_batch_count = gr.Slider(1, 16, value=1, step=1, label="Batch Count") |
|
|
gen_batch_size = gr.Slider(1, 8, value=1, step=1, label="Batch Size") |
|
|
with gr.Row(): |
|
|
gen_restore_faces = gr.Checkbox(value=False, label="Restore faces") |
|
|
gen_tiling = gr.Checkbox(value=False, label="Tiling") |
|
|
gen_btn = gr.Button("Generate", variant="primary") |
|
|
gen_gallery = gr.Gallery(label="Result").style(grid=4) |
|
|
gen_info = gr.Textbox(label="Info", lines=4) |
|
|
|
|
|
gr.Markdown("---") |
|
|
gr.Markdown("### A/B Variants (placeholder)") |
|
|
gr.Markdown("Задайте плейсхолдер в промпте, напр. `{{ALT}}`, и список вариантов построчно.") |
|
|
var_prompt = gr.Textbox(label="Prompt (с плейсхолдером)", lines=6) |
|
|
var_negative = gr.Textbox(label="Negative", lines=4, value="") |
|
|
var_placeholder = gr.Textbox(label="Placeholder", value="{{ALT}}") |
|
|
var_options = gr.Textbox(label="Options (каждая на новой строке)", value="red dress\nblue jeans\nblack coat", lines=6) |
|
|
with gr.Row(): |
|
|
var_width = gr.Slider(64, 1536, value=512, step=64, label="Width") |
|
|
var_height = gr.Slider(64, 1536, value=768, step=64, label="Height") |
|
|
var_steps = gr.Slider(1, 300, value=30, step=1, label="Steps") |
|
|
with gr.Row(): |
|
|
var_cfg = gr.Slider(1, 20, value=7.0, step=0.5, label="CFG") |
|
|
var_seed = gr.Number(value=1000, precision=0, label="Base Seed") |
|
|
var_sampler = gr.Dropdown(choices=_list_samplers(), value=_list_samplers()[0], label="Sampler") |
|
|
with gr.Row(): |
|
|
var_restore_faces = gr.Checkbox(value=False, label="Restore faces") |
|
|
var_tiling = gr.Checkbox(value=False, label="Tiling") |
|
|
var_btn = gr.Button("Generate A/B", variant="secondary") |
|
|
var_gallery = gr.Gallery(label="Variants").style(grid=6) |
|
|
var_info = gr.Textbox(label="Info", lines=6) |
|
|
|
|
|
|
|
|
|
|
|
def _analyze_wrap(src, s, sd, uv, aea, ealt, gl, vm, stepn, en_pre): |
|
|
res = analyze(src, s, sd, uv, aea, ealt, gl, vm, stepn, en_pre) |
|
|
analyzed_prompt = src |
|
|
if en_pre: |
|
|
pre_prompt, _ = preprocess_prompt(src, s, True) |
|
|
analyzed_prompt = pre_prompt |
|
|
return (*res, highlight_prompt_html(analyzed_prompt)) |
|
|
|
|
|
analyze_btn.click( |
|
|
fn=_analyze_wrap, |
|
|
inputs=[prompt_in, steps, seed, use_visitor, allow_empty_alt, expand_alt, group_limit, view_mode, at_step_n, enable_pre], |
|
|
outputs=[status_md, schedule_md, timeline_md, text_at_step_md, pre_md, tree_md, highlight_html], |
|
|
) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def _run_lint(src: str, use_vis: bool): |
|
|
issues = lint_prompt(src, use_vis) |
|
|
if not issues: |
|
|
return "**OK:** проблем не найдено.", "" |
|
|
lines = [] |
|
|
for it in issues: |
|
|
lines.append(f"- **{it.kind}**: {it.msg} — _{it.fix_hint or '…'}_") |
|
|
return "\n".join(lines), "" |
|
|
lint_btn.click(_run_lint, [lint_src, lint_use_visitor], [lint_report, fixed_out]) |
|
|
|
|
|
def _apply_fixes(src: str, use_vis: bool): |
|
|
fixed, changes = apply_safe_fixes(src, use_vis) |
|
|
report = "**Применены правки:**\n" + "\n".join([f"- {c}" for c in changes]) if changes else "_Нечего править (safe-fixes)._" |
|
|
return fixed, report, mk_diff(src, fixed) |
|
|
fix_btn.click(_apply_fixes, [lint_src, lint_use_visitor], [fixed_out, lint_report, diff_md]) |
|
|
|
|
|
|
|
|
build_sched_btn.click(lambda v, r, rev: build_scheduled_block(v, r, rev), |
|
|
[sched_variants, sched_ranges, sched_reverse], [sched_expr]) |
|
|
build_every_k.click(lambda bar, s, k: build_alternate_every_k(bar, int(s), int(k)), |
|
|
[alt_bar, total_steps_for_k, k_steps], [every_k_expr]) |
|
|
|
|
|
|
|
|
|
|
|
def _ve_init_cb(variants_text, steps_val, as_percent): |
|
|
variants = _ve_parse_variants(variants_text) |
|
|
bounds = _ve_default_boundaries(len(variants), int(steps_val), bool(as_percent)) |
|
|
df = [[b] for b in bounds] |
|
|
return df |
|
|
|
|
|
ve_init.click(_ve_init_cb, [ve_variants, ve_steps, ve_as_percent], [ve_df]) |
|
|
|
|
|
ve_init.click( |
|
|
lambda variants_text, df_current, steps_val, as_percent, reverse, seed_val, use_vis: |
|
|
_ve_preview(variants_text, df_current, int(steps_val), bool(as_percent), bool(reverse), |
|
|
int(seed_val) if seed_val is not None else None, bool(use_vis)), |
|
|
[ve_variants, ve_df, ve_steps, ve_as_percent, ve_reverse, ve_seed, ve_use_visitor], |
|
|
[ve_expr, ve_sched_md, ve_timeline_md, ve_status] |
|
|
) |
|
|
|
|
|
def _ve_even_cb(variants_text, steps_val, as_percent, df_current): |
|
|
return _ve_init_cb(variants_text, steps_val, as_percent) |
|
|
|
|
|
ve_even.click(_ve_even_cb, [ve_variants, ve_steps, ve_as_percent, ve_df], [ve_df]) |
|
|
ve_even.click( |
|
|
lambda variants_text, df_current, steps_val, as_percent, reverse, seed_val, use_vis: |
|
|
_ve_preview(variants_text, df_current, int(steps_val), bool(as_percent), bool(reverse), |
|
|
int(seed_val) if seed_val is not None else None, bool(use_vis)), |
|
|
[ve_variants, ve_df, ve_steps, ve_as_percent, ve_reverse, ve_seed, ve_use_visitor], |
|
|
[ve_expr, ve_sched_md, ve_timeline_md, ve_status] |
|
|
) |
|
|
|
|
|
def _ve_sort_cb(df_current, steps_val, as_percent): |
|
|
vals, _ = _ve_normalize_boundaries(df_current, int(steps_val), bool(as_percent)) |
|
|
return [[v if not as_percent else round(v * 100.0 / int(steps_val), 2)] for v in vals] |
|
|
|
|
|
ve_sort.click(_ve_sort_cb, [ve_df, ve_steps, ve_as_percent], [ve_df]) |
|
|
ve_sort.click( |
|
|
lambda variants_text, df_current, steps_val, as_percent, reverse, seed_val, use_vis: |
|
|
_ve_preview(variants_text, df_current, int(steps_val), bool(as_percent), bool(reverse), |
|
|
int(seed_val) if seed_val is not None else None, bool(use_vis)), |
|
|
[ve_variants, ve_df, ve_steps, ve_as_percent, ve_reverse, ve_seed, ve_use_visitor], |
|
|
[ve_expr, ve_sched_md, ve_timeline_md, ve_status] |
|
|
) |
|
|
|
|
|
def _ve_snap_cb(df_current, steps_val, as_percent): |
|
|
return _ve_snap_to_magnets(df_current, int(steps_val), bool(as_percent)) |
|
|
|
|
|
ve_snap.click(_ve_snap_cb, [ve_df, ve_steps, ve_as_percent], [ve_df]) |
|
|
ve_snap.click( |
|
|
lambda variants_text, df_current, steps_val, as_percent, reverse, seed_val, use_vis: |
|
|
_ve_preview(variants_text, df_current, int(steps_val), bool(as_percent), bool(reverse), |
|
|
int(seed_val) if seed_val is not None else None, bool(use_vis)), |
|
|
[ve_variants, ve_df, ve_steps, ve_as_percent, ve_reverse, ve_seed, ve_use_visitor], |
|
|
[ve_expr, ve_sched_md, ve_timeline_md, ve_status] |
|
|
) |
|
|
|
|
|
def _ve_minus1_cb(df_current, steps_val, as_percent): |
|
|
return _ve_shift_all(df_current, int(steps_val), bool(as_percent), -1) |
|
|
|
|
|
ve_minus1.click(_ve_minus1_cb, [ve_df, ve_steps, ve_as_percent], [ve_df]) |
|
|
ve_minus1.click( |
|
|
lambda variants_text, df_current, steps_val, as_percent, reverse, seed_val, use_vis: |
|
|
_ve_preview(variants_text, df_current, int(steps_val), bool(as_percent), bool(reverse), |
|
|
int(seed_val) if seed_val is not None else None, bool(use_vis)), |
|
|
[ve_variants, ve_df, ve_steps, ve_as_percent, ve_reverse, ve_seed, ve_use_visitor], |
|
|
[ve_expr, ve_sched_md, ve_timeline_md, ve_status] |
|
|
) |
|
|
|
|
|
def _ve_plus1_cb(df_current, steps_val, as_percent): |
|
|
return _ve_shift_all(df_current, int(steps_val), bool(as_percent), +1) |
|
|
|
|
|
ve_plus1.click(_ve_plus1_cb, [ve_df, ve_steps, ve_as_percent], [ve_df]) |
|
|
ve_plus1.click( |
|
|
lambda variants_text, df_current, steps_val, as_percent, reverse, seed_val, use_vis: |
|
|
_ve_preview(variants_text, df_current, int(steps_val), bool(as_percent), bool(reverse), |
|
|
int(seed_val) if seed_val is not None else None, bool(use_vis)), |
|
|
[ve_variants, ve_df, ve_steps, ve_as_percent, ve_reverse, ve_seed, ve_use_visitor], |
|
|
[ve_expr, ve_sched_md, ve_timeline_md, ve_status] |
|
|
) |
|
|
|
|
|
|
|
|
def _ve_preview_cb(variants_text, df_current, steps_val, as_percent, reverse, seed_val, use_visitor_val): |
|
|
expr, sched_md, timeline_md, status = _ve_preview( |
|
|
variants_text, df_current, int(steps_val), bool(as_percent), bool(reverse), |
|
|
int(seed_val) if seed_val is not None else None, bool(use_visitor_val) |
|
|
) |
|
|
return expr, sched_md, timeline_md, status |
|
|
|
|
|
for _comp in [ve_df, ve_steps, ve_as_percent, ve_reverse, ve_seed, ve_use_visitor, ve_variants]: |
|
|
_comp.change( |
|
|
_ve_preview_cb, |
|
|
inputs=[ve_variants, ve_df, ve_steps, ve_as_percent, ve_reverse, ve_seed, ve_use_visitor], |
|
|
outputs=[ve_expr, ve_sched_md, ve_timeline_md, ve_status] |
|
|
) |
|
|
|
|
|
|
|
|
ve_exp_csv.click(lambda df_c, s, ap: _ve_export_csv(df_c, int(s), bool(ap)), |
|
|
[ve_df, ve_steps, ve_as_percent], [ve_export_out]) |
|
|
ve_exp_json.click(lambda df_c, s, ap: _ve_export_json(df_c, int(s), bool(ap)), |
|
|
[ve_df, ve_steps, ve_as_percent], [ve_export_out]) |
|
|
|
|
|
ve_imp_btn.click(lambda text, s, ap, kind: _ve_import_intervals(text, int(s), bool(ap), kind), |
|
|
[ve_imp_text, ve_steps, ve_as_percent, ve_imp_kind], [ve_df]) |
|
|
ve_imp_btn.click( |
|
|
lambda variants_text, df_current, steps_val, as_percent, reverse, seed_val, use_vis: |
|
|
_ve_preview(variants_text, df_current, int(steps_val), bool(as_percent), bool(reverse), |
|
|
int(seed_val) if seed_val is not None else None, bool(use_vis)), |
|
|
[ve_variants, ve_df, ve_steps, ve_as_percent, ve_reverse, ve_seed, ve_use_visitor], |
|
|
[ve_expr, ve_sched_md, ve_timeline_md, ve_status] |
|
|
) |
|
|
|
|
|
|
|
|
conv_dead.click(lambda s: conv_dead_groups_to_plain(s), [conv_src], [conv_out]) |
|
|
conv_bars.click(lambda s: conv_bars_to_square(s), [conv_src], [conv_out]) |
|
|
conv_seq_term.click(lambda s: conv_add_seq_terminator(s), [conv_src], [conv_out]) |
|
|
|
|
|
|
|
|
grp_btn.click(build_group, [grp_items], [grp_out]) |
|
|
alt_btn.click(build_alternate, [alt_items, alt_distinct], [alt_out]) |
|
|
num_btn.click(build_numbered, [num_n, num_body, num_distinct], [num_out]) |
|
|
seq_btn.click(build_sequence, [seq_owner, seq_pairs, seq_term], [seq_out]) |
|
|
top_btn.click(build_top_level_sequence, [top_owner, top_pairs, top_tail], [top_out]) |
|
|
|
|
|
|
|
|
def _export_all(src: str, s: int, sd: Optional[int], use_vis: bool): |
|
|
sched, err = _make_schedule(src, s, sd, use_vis) |
|
|
if err: |
|
|
return "", "", "", f"**Ошибка:** {err}", "" |
|
|
csv_sched = schedule_to_csv(sched) |
|
|
json_sched = schedule_to_json(sched) |
|
|
csv_timeline = timeline_to_csv(sched, s) |
|
|
md1 = md_block("Schedule", _schedule_table_md(sched)) |
|
|
md2 = md_block("Timeline", _per_step_timeline_md(sched, s)) |
|
|
return csv_sched, json_sched, csv_timeline, md1, md2 |
|
|
|
|
|
exp_btn.click(_export_all, [exp_src, exp_steps, exp_seed, exp_use_visitor], |
|
|
[exp_sched_csv, exp_sched_json, exp_timeline_csv, exp_sched_md, exp_timeline_md]) |
|
|
|
|
|
def _copy_md(md1: str, md2: str): |
|
|
return md1 + "\n\n" + md2 |
|
|
|
|
|
copy_md_btn.click(_copy_md, [exp_sched_md, exp_timeline_md], [exp_sched_md]) |
|
|
|
|
|
|
|
|
def _proj_export(an_src_v, steps_v, seed_v, uv_v, aea_v, ealt_v, gl_v, |
|
|
w, h, st, cfg, ssd, samp, bc, bs, rf, tl): |
|
|
cfg_map = {"w": w, "h": h, "steps": st, "cfg": cfg, "seed": ssd, "sampler": samp, "bc": bc, "bs": bs, "rf": rf, "tl": tl} |
|
|
return export_project(an_src_v, steps_v, seed_v, uv_v, aea_v, ealt_v, gl_v, cfg_map) |
|
|
|
|
|
proj_export_btn.click(_proj_export, |
|
|
[exp_src, exp_steps, exp_seed, exp_use_visitor, allow_empty_alt, expand_alt, group_limit, |
|
|
gen_width, gen_height, gen_steps, gen_cfg, gen_seed, gen_sampler, gen_batch_count, gen_batch_size, |
|
|
gen_restore_faces, gen_tiling], |
|
|
[proj_json]) |
|
|
|
|
|
def _proj_import(text): |
|
|
vals = import_project(text) |
|
|
return vals |
|
|
|
|
|
proj_import_btn.click(_proj_import, [proj_json], |
|
|
[exp_src, exp_steps, exp_seed, exp_use_visitor, |
|
|
allow_empty_alt, expand_alt, group_limit, |
|
|
gen_width, gen_height, gen_steps, gen_cfg, gen_seed, gen_sampler, |
|
|
gen_batch_count, gen_batch_size, gen_restore_faces, gen_tiling]) |
|
|
|
|
|
|
|
|
def _and_parse(src): |
|
|
rows = and_debug_parse(src) |
|
|
if not rows: |
|
|
return "_Нет сегментов._", "" |
|
|
lines = ["| # | text | weight |", "|---:|---|---:|"] |
|
|
builder_lines = [] |
|
|
for i, (t, w) in enumerate(rows, 1): |
|
|
wt = "" if w is None else str(w) |
|
|
safe_t = t.replace("|", "\\|") |
|
|
lines.append(f"| {i} | {safe_t} | {wt} |") |
|
|
builder_lines.append(f"{t} : {wt}" if wt else t) |
|
|
return "\n".join(lines), "\n".join(builder_lines) |
|
|
|
|
|
and_parse_btn.click(_and_parse, [and_src], [and_table, and_builder_txt]) |
|
|
and_build_btn.click(lambda rows: and_debug_build(rows), [and_builder_txt], [and_out]) |
|
|
|
|
|
|
|
|
gen_btn.click( |
|
|
fn=_generate_txt2img, |
|
|
inputs=[gen_prompt, gen_negative, gen_steps, gen_width, gen_height, |
|
|
gen_cfg, gen_seed, gen_sampler, gen_batch_count, gen_batch_size, |
|
|
gen_restore_faces, gen_tiling], |
|
|
outputs=[gen_gallery, gen_info] |
|
|
) |
|
|
|
|
|
|
|
|
var_btn.click( |
|
|
fn=_generate_variants_with_placeholder, |
|
|
inputs=[var_prompt, var_negative, var_placeholder, var_options, |
|
|
var_steps, var_width, var_height, var_cfg, var_seed, var_sampler, |
|
|
var_restore_faces, var_tiling], |
|
|
outputs=[var_gallery, var_info] |
|
|
) |
|
|
|
|
|
return [] |
|
|
|
|
|
|
|
|
def on_ui_settings(): |
|
|
section = ('prompt-parser-analyzer', "Prompt Parser Analyzer") |
|
|
|
|
|
|
|
|
|
|
|
script_callbacks.on_ui_settings(on_ui_settings) |
