"""Nano Banana Pro vs Nano Banana 2.1 prompts: how creators write for each model. Reproduces https://agentcraft.dev/data/nano-banana-pro-vs-2-1-prompts-2026-11.json from the public prompt collection https://github.com/ai-boost/awesome-image-video-prompts (one YAML file per prompt). git clone https://github.com/ai-boost/awesome-image-video-prompts git -C awesome-image-video-prompts checkout 590b532 pip install pyyaml python3 nano-banana-pro-vs-2-1-prompts-2026-11.py awesome-image-video-prompts > out.json Only standard library plus PyYAML. Prompt text is not copied into the output; each row links to its YAML file. """ import datetime import json import re import statistics import subprocess import sys from pathlib import Path import yaml REPO = Path(sys.argv[1] if len(sys.argv) > 1 else "awesome-image-video-prompts") RELEASE = { "Nano Banana Pro": datetime.date(2025, 11, 20), # Google release date (Gemini 3 Pro Image) "Nano Banana 2.1": datetime.date(2026, 10, 6), } # Feature definitions. Each is a plain test on the prompt text, so anyone can argue with it. LABEL = re.compile(r"^\s*[\[【]?[\w一-鿿぀-ヿ /&()-]{2,30}[\]】]?\s*[:：]") # "Style: ..." lines LIST = re.compile(r"^\s*([-*•]|\d+[.)、])\s") # bullet or numbered line RATIO = re.compile(r"(?i)\b\d{1,2}\s*[:x×]\s*\d{1,2}\b|aspect ratio|比例|アスペクト") RESOLUTION = re.compile(r"(?i)\b[248]k\b|\b(?:1080|2160|4096)p?\b|ultra[- ]?hd|uhd\b") CAMERA = re.compile(r"(?i)\b\d{2,3}\s?mm\b|\bf/\d|\blens\b|bokeh|depth of field|\biso\s?\d|shutter|镜头|焦距|レンズ") PLACEHOLDER = re.compile(r"\[[A-Z][A-Z0-9 _/-]{2,30}\]|\{[a-z_]{3,20}\}") # fill-in blanks like [PRODUCT NAME] NEGATIVE = re.compile(r"(?i)\b(no|don't|do not|avoid|without|never)\b|不要|避免|禁止|しない|なし") KEEP = re.compile(r"(?i)\bkeep\b|\bpreserv|\bunchanged\b|\bmaintain\b|\bretain\b|\bsame (?:face|person|identity|pose|features)\b|" r"\bidentical\b|保持|不变|保留|そのまま|維持") # what an edit must not change FACE_LOCK = re.compile(r"(?i)\b(?:face|facial|identity|likeness)\b[^.\n]{0,60}\b(?:keep|preserv|unchanged|maintain|retain|exact|same|identical)" r"|\b(?:keep|preserv|maintain|retain|exact|same|identical)\w*\b[^.\n]{0,60}\b(?:face|facial|identity|likeness)\b") JSON_START = re.compile(r'\s*(?:\{|"[A-Za-z_][\w ]{0,30}"\s*:)') # a JSON object, with or without its outer brace HOLIDAY = re.compile(r"(?i)christmas|xmas|santa|holiday|winter|snow|reindeer|圣诞|クリスマス") # seasonal subject REFS = re.compile(r"(?i)\b(?:image|photo|picture|reference|ref)\s*#?\s*[1-9]\b|@img\d|图\s?[1-9]|画像\s?[1-9]") # numbered uploads def git(*args): return subprocess.run(["git", "-C", str(REPO), *args], capture_output=True, text=True, check=True).stdout def lang(text): if re.search(r"[぀-ヿ]", text): return "ja" if re.search(r"[가-힯]", text): return "ko" if len(re.findall(r"[一-鿿]", text)) > 0.2 * len(re.findall(r"[A-Za-z一-鿿]", text)): return "zh" return "en" def posted(url): """X status ids carry their creation time (snowflake): (id >> 22) + 1288834974657 ms.""" m = re.search(r"/status/(\d+)", url or "") if not m: return None ms = (int(m.group(1)) >> 22) + 1288834974657 return datetime.datetime.fromtimestamp(ms / 1000, datetime.timezone.utc).date() def row(path, e): p = e["prompt"].strip() lines = [l for l in p.split("\n") if l.strip()] src = e.get("source", {}) url = src.get("url", "") day = posted(url) is_json = bool(JSON_START.match(p)) return { "id": e["id"], "model": e["model"], "source": "x" if "x.com/" in url else "other", "posted": str(day) if day else None, "daysAfterRelease": (day - RELEASE[e["model"]]).days if day else None, "mode": e.get("mode"), "category": e.get("category"), "lang": lang(p), "chars": len(p), "words": len(p.split()) if lang(p) == "en" else None, "lines": len(lines), "json": is_json, "labeledSections": sum(1 for l in lines if LABEL.match(l)) >= 2, "list": any(LIST.match(l) for l in lines), "aspectRatio": bool(RATIO.search(p)), "resolution": bool(RESOLUTION.search(p)), "cameraTerms": bool(CAMERA.search(p)), "negative": bool(NEGATIVE.search(p)), "placeholders": bool(PLACEHOLDER.search(p)), "keep": bool(KEEP.search(p)), "faceLock": bool(FACE_LOCK.search(p)), "numberedRefs": bool(REFS.search(p)), "holiday": bool(HOLIDAY.search(p)), "likes": src.get("likes"), "file": f"https://github.com/ai-boost/awesome-image-video-prompts/blob/main/{path}", } def summary(rows): n = len(rows) if not n: return {"n": 0} pct = lambda k: round(100 * sum(1 for r in rows if r[k]) / n) vals = lambda k: [r[k] for r in rows if r[k] is not None] med = lambda k: statistics.median(vals(k)) if vals(k) else None count = lambda k: {v: sum(1 for r in rows if r[k] == v) for v in sorted({r[k] for r in rows})} out = {"n": n, "modes": count("mode"), "languages": count("lang"), "medianChars": med("chars"), "medianWords": med("words"), "medianLines": med("lines"), "pctOver1500Chars": round(100 * sum(1 for r in rows if r["chars"] > 1500) / n)} for k in ["holiday", "json", "labeledSections", "list", "aspectRatio", "resolution", "cameraTerms", "negative", "placeholders", "keep", "faceLock", "numberedRefs"]: out["pct" + k[0].upper() + k[1:]] = pct(k) out["medianLikes"] = med("likes") return out def main(): commit = git("rev-parse", "--short", "HEAD").strip() rows = [] for path in sorted(git("ls-tree", "--name-only", "HEAD", "prompts/image/").split()): e = yaml.safe_load(git("show", f"HEAD:{path}")) if e.get("model") in RELEASE: rows.append(row(path, e)) x = [r for r in rows if r["source"] == "x"] groups = {} for m in RELEASE: mine = [r for r in x if r["model"] == m] groups[f"{m}, creators on X"] = summary(mine) for mode in ["text-to-image", "image-edit"]: groups[f"{m}, creators on X, {mode}"] = summary([r for r in mine if r["mode"] == mode]) # The fairest like-for-like task in both sets: put the person from an uploaded photo into a new portrait. groups[f"{m}, creators on X, portrait edits"] = summary([r for r in mine if r["mode"] == "image-edit" and r["category"] == "portrait"]) # Same popularity band in both sets, to rule out that one set is just more polished. groups[f"{m}, creators on X, 100 to 1,000 likes"] = summary([r for r in mine if r["likes"] and 100 <= r["likes"] <= 1000]) json.dump({ "title": "Nano Banana Pro vs Nano Banana 2.1 prompts: per-prompt features", "source": f"https://github.com/ai-boost/awesome-image-video-prompts/tree/{commit}", "page": "https://agentcraft.dev/en/blog/nano-banana-pro-vs-2-1-prompts-2026-11/", "release": {m: str(d) for m, d in RELEASE.items()}, "definitions": { "daysAfterRelease": "days between the release date and the post, read from the X status id", "holiday": "mentions Christmas, Santa, holiday, winter, snow or reindeer", "json": "the prompt is a JSON object, or JSON key-value pairs without the outer brace", "labeledSections": "two or more lines start with a short label and a colon, like Style: or Lighting:", "aspectRatio": "names a ratio like 3:4 or says aspect ratio", "resolution": "names an output size like 4K, 2K or 2160p", "cameraTerms": "names a lens, focal length, aperture, ISO, shutter, bokeh or depth of field", "negative": "contains no, don't, avoid, without or never (or the Chinese and Japanese equivalents)", "keep": "says what must stay: keep, preserve, unchanged, maintain, retain, identical, same face", "faceLock": "ties face, identity or likeness to keep, preserve, exact or same within one sentence", "numberedRefs": "numbers its uploads: image 1, photo 2, reference 3", }, "groups": groups, "rows": rows, }, sys.stdout, ensure_ascii=False, indent=1) if __name__ == "__main__": main()