GoogleGörsel
Nano Banana
11 model · 76 krediden başlayan
Nano Banana ailesindeki modeller
| Model | Mod | Fiyat | En-boy oranları | |
|---|---|---|---|---|
| Nano Banana 2 Edit | Görsel düzenleme | 100 krediden başlayan | — | Aç → |
| Nano Banana 2 Reference to Image | Görsel | 100 krediden başlayan | 1:1 · 3:2 · 2:3 · 3:4 · 4:3 · 4:5 | Aç → |
| Nano Banana 2 Text-to-Image | Metinden görsel | 100 krediden başlayan | — | Aç → |
| Nano Banana 2.1 EditYeni | Görsel düzenleme | 83 krediden başlayan | 1:1 · 3:2 · 2:3 · 3:4 · 4:3 · 4:5 | Aç → |
| Nano Banana 2.1 Reference-to-ImageYeni | Görsel | 400 krediden başlayan | 1:1 · 3:2 · 2:3 · 3:4 · 4:3 · 4:5 | Aç → |
| Nano Banana 2.1 Text-to-ImageYeni | Metinden görsel | 80 krediden başlayan | 1:1 · 3:2 · 2:3 · 3:4 · 4:3 · 4:5 | Aç → |
| Nano Banana Edit | Görsel düzenleme | 76 krediden başlayan | 1:1 · 3:2 · 2:3 · 3:4 · 4:3 · 4:5 | Aç → |
| Nano Banana Pro Edit | Görsel düzenleme | 175 krediden başlayan | — | Aç → |
| Nano Banana Pro Edit Ultra | Görsel düzenleme | 188 krediden başlayan | — | Aç → |
| Nano Banana Pro Text-to-image | Metinden görsel | 175 krediden başlayan | — | Aç → |
| Nano Banana Pro Text-to-image Ultra | Metinden görsel | 188 krediden başlayan | — | Aç → |
Nano Banana 2.1 için LUVI Prompt Engine kuralları
TARGET MODEL: Nano Banana 2.1 (Google, gemini-nano-banana-2.1). It reads a brief the way a language model reads one: positively, in prose. There is no negative_prompt, no weighting and no style dial.
Uyulması gereken kurallar
- Narrative prose, not tag stacks. Describe a scene a person could photograph or design: register → subject and action → setting → light → camera → in-image text → finish.
- Exclusions become presences that do NOT name the excluded thing: "no people, no cars" → "a quiet, deserted street", never "no cars" and never "empty of people and cars". Naming the unwanted thing can summon it.
- Aspect ratio and resolution are parameters. Never write "16:9", "widescreen", "4K" or "8k" into the prose — on a conflict the parameter wins and the words are wasted.
- In-image text: put every visible string in double quotes, exactly as it must read, and describe the type (weight, style, colour) and its placement in plain words. Never write the words "in quotes" or "quoted" — the model draws the quotation marks. Every other visible surface (signs, apparel, packaging, screens) is either given quoted copy or described as plain/blank; unquoted incidental lettering comes back as gibberish.
- Keep quoted copy verbatim. If it contains an em dash, the model draws it as a separate rule that splits the line: add OUTSIDE the quotes that the text stays on a single line with a literal em dash between the phrases. Example: a sign reading "Taze simit — İçeride çay var" on a single line, with a literal em dash between the two phrases.
- Non-English copy (e.g. Turkish İ ı ğ ş ç) is kept character-exact and LARGE in the frame; small lettering drops diacritics at any resolution.
- People: keep every physical detail the user gave (age, build, hair, wardrobe, expression) — never flatten a described person to "a man"; vague unnamed people drift toward real public-figure lookalikes. Keep distinct on-screen identities few; give extras varied faces or defocus them.
- Never ask for a transparent background — the model has no alpha. Ask for a plain seamless white background instead.
En iyi sonuç verenler
- Open with the operation and the deliverable: "Create an image: a photorealistic product photograph of …", "… an infographic poster …".
- State purpose and audience when known ("for an e-commerce product page", "suitable for a 4th grader").
- Many elements → order them in words: "First … Then … Finally …".
- When the user names light, lens or mood, phrase it concretely ("soft window light from the left" beats "cinematic lighting"). Do not add light directions, lenses, camera specs, scene elements (buildings, props, background figures) or wardrobe the user did not ask for — expand only what the user wrote.
- Prose over JSON: when the user supplies JSON, rewrite its content as prose — JSON loses counted details and soft details.
LUVI Prompt Engine'in bu aile için kurallarından; çalışma alanındaki yeniden yazıcı ve LUVI'nin MCP bağlayıcısı aynı kuralları uygular.
Nano Banana için LUVI Prompt Engine kuralları
Notlar
- Nano Banana has no negative_prompt — describe positively (“an empty, deserted street”, not “no cars”). Naming what you don’t want can summon it into the frame.
- Weight syntax such as (word:1.3) is ignored; it only wastes prompt space.
- Keep to at most 5 distinct characters in one prompt.
LUVI'nin bu aile için doğrulanmış kurallarından.