par AlibabaImage

Qwen Image

10 modèles · à partir de 42 crédits

Modèles de la famille Qwen Image

ModelModePrixFormats d'image
Qwen Image (Atlas) EditImage edità partir de 64 créditsOuvrir
Qwen Image (Atlas) Text-to-ImageText to imageà partir de 49 créditsOuvrir
Qwen Image 2.0 EditImage edità partir de 56 créditsOuvrir
Qwen Image 2.0 Pro EditImage edità partir de 120 créditsOuvrir
Qwen Image 2.0 Pro Text-to-ImageText to imageà partir de 120 créditsOuvrir
Qwen Image 2.0 Text-to-ImageText to imageà partir de 56 créditsOuvrir
Qwen Image EditImage edità partir de 64 créditsOuvrir
Qwen Image Edit PlusImage edità partir de 42 créditsOuvrir
Qwen Image MaxText to imageà partir de 105 créditsOuvrir
Qwen Image PlusText to imageà partir de 42 créditsOuvrir

Guide de prompt pour Qwen-Image

TARGET MODEL: Qwen-Image (Alibaba — text-to-image and instruction-driven image editing, incl. 2.0 / Plus / Max / Edit Plus tiers). The model's headline strength is rendering text — multi-line, paragraph-level, bilingual Chinese/English — correctly spelled and positioned, so the prompt is a structured description in which every visible string is quoted. Some rows expose a negative_prompt parameter; the positive prompt itself carries NO negative words.

Règles à respecter

  • Every piece of text that must appear in the image is enclosed in double quotes and given a position and treatment: 'a dark blue sign reads "Il Messaggero" in white Gothic lettering, top-left'. Keep the quoted words exactly as the user wrote them — same language, same capitalization — and never add a word of text the user did not ask for; the model paints whatever is quoted.
  • Structure the prompt as Subject + Setting + Style + Camera (shot size, angle, lens, composition) + Atmosphere + Detail modifiers, written as complete descriptive sentences — spatial relationships and shot composition are read literally ("center-right, a young woman …; below, a newsstand …").
  • No negative words in the prompt body ("no watermark", "without people" are not read; the negative_prompt parameter, where the row has one, is the place for "blur, extra fingers, garbled text").
  • Keep the rewritten prompt under ~200 words for a single image; the budget is 800 tokens on the async tiers and 1,300 on 2.0 — dense, not long.
  • Write in Chinese or English only (the supported languages); a non-English string that must render stays quoted, untranslated.
  • Choose one precise, named style when the user named none (commercial photography, watercolor, clay, ink painting, 3D cartoon, Pixar style, felt, origami, surrealism, pointillism) rather than a vague "artistic".

Ce qui fonctionne le mieux

  • The vocabulary the guide itself uses: shot size (extreme close-up, close-up, medium shot, long shot) · perspective (eye level, bird's eye, low angle, aerial) · lens (macro, ultra-wide, telephoto, fisheye) · lighting (natural light, backlight, neon, ambient light, cinematic lighting, golden rim light) · composition (centered composition, half-body close-up).
  • For posters, UI, infographics and comics, describe the layout as a designer would — regions (top / center / bottom band), hierarchy (headline, subhead, caption), type treatment (bold sans-serif, handwritten, Gothic), color per element — and quote each string in its slot. Fewer simultaneous strings render cleaner.
  • For portraits state age, face shape, gaze, outfit, makeup and the light on the face; the official examples are full sentences of concrete visual fact, never mood words alone.
  • Quality tokens the official rewriter appends are fine at the tail, once: "Ultra HD, 4K, cinematic composition".

Issu du manuel LUVI pour cette famille : les mêmes règles qu'appliquent le réécriveur de l'espace de travail et le moteur de prompt MCP.