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GPT Image 2 AI 이미지 생성기
gpt-image-2 · ChatGPT Images 2.0
OpenAI의 플래그십 이미지 생성 및 편집 모델. 단순히 예쁜 그림이 아닙니다 — 정확한 텍스트, 편집 가능한 워크플로, API 제어를 갖춘 구조화된 상업용 이미지. DALL·E 3에서 전환하고 계신다면, 이것이 업그레이드 경로입니다.
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최근 작품
個人髮型分析】
- 請根據我上傳的人像照片,製作一張高質感
個人髮型分析圖卡
- 保留主角原本五官、臉型與真實特徵,透過左右或並排對比方式,展示不同髮型套用在主角身上的效果,清楚區分「最適合」、「普通」與「不建議」髮型,讓人一眼看出哪些髮型最修飾臉型、提升氣質與整體顏值
- 可比較長髮、短髮、瀏海、捲髮、直髮、層次剪裁、綁髮造型等。版面設計需乾淨時尚、像專業造型顧問報告,整體以視覺呈現為主,只使用簡短標籤,不要加入長段文字
- 高解析度,資訊清楚,適合社群分享
×
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【個人顏色分析】
- 請根據我上傳的人像照片,製作一張高質感
個人色彩分析圖卡
- 保留主角原本五官、膚色、臉型與真實特徵,透過左右或並排對比方式,展示不同服裝顏色穿在主角身上的效果,清楚區分「適合色」與「不適合色」,讓人一眼看出哪些顏色最襯膚色、提升氣色與整體質感
- 版面設計需乾淨時尚、像專業形象顧問報告,整體以視覺呈現為主,只使用簡短標籤(例如:推薦、普通、避免),不要加入長段文
字
- 高解析度,資訊清楚,適合社群分享
graph TD
%% ========== Agent 层 ==========
subgraph Agent层[Agent 推理/对话]
AgentCore[Agent Core]
end
%% ========== API 层 ==========
subgraph API层[记忆核心服务API]
SAPI["存储API"]
RAPI["检索API"]
EAPI["提取写入API"]
FAPI["遗忘API"]
TAPI["租户API"]
end
%% ========== 记忆存储模块(展开) ==========
subgraph 记忆存储模块[记忆存储]
StorageRouter[存储路由]
SessionPersist[会话消息持久化器]
MigrationMgr[版本化导入导出/备份恢复]
RuntimeState[运行时状态管理]
subgraph 存储内部适配[多模存储内部适配]
VecStore[向量存储适配]
RelStore[关系型存储适配]
KVStore[KV存储适配]
FileStore[文件存储适配]
GraphStore[图谱存储适配]
end
end
%% ========== 记忆检索模块(展开) ==========
subgraph 记忆检索模块[记忆检索]
MultiRouter[查询拆分与路由]
VecSearch[语义向量检索]
ExactGet[精确KV读取]
FullText[全文关键词搜索]
HistorySearch[历史对话检索-时间/轮次]
GraphTraverse[知识图谱多跳遍历]
CandidateMerge[多路候选合并]
RerankEngine[重排序]
DedupPost[检索后去重]
subgraph 矛盾检测[矛盾检测]
ContradictionScan[定期事实对扫描]
FactPairExtract[事实对提取]
LLMJudge[LLM矛盾判决]
ReportGen[矛盾报告生成]
end
end
%% ========== 记忆提取与写入模块(展开) ==========
subgraph 记忆提取与写入模块[记忆提取与写入]
subgraph 提取触发[触发]
AutoTrig[自动触发]
ManTrig[手动调用]
AgentTrig[Agent自主写入]
ExtRes[外部资源摄入]
end
subgraph 提取流水线[LLM提取流水线]
LLMStage[单/多阶段LLM提取]
SchemaCheck[Schema校验]
VarExtract[变量/情境提取]
ProfileExtract[画像提取]
Dialectic[辩证推理-用户建模]
HistoryInject[注入历史消息]
end
subgraph 冲突与去重[冲突裁决与去重]
ConflictDetect[新旧冲突检测]
Decision[裁决:跳过/删旧加新/新增]
Dedup[精确+语义去重]
end
subgraph 写入执行[写入执行]
SingleWrite[单条写入+立即落盘]
BatchWrite[批量写入+去重]
ProfileUpdate[画像更新]
MemoryReplace[替换/增量更新]
end
subgraph 上下文注入[上下文注入]
FrozenSnapshot[冻结快照注入]
FileContext[上下文文件注入]
DualLayer[双层上下文注入]
SysPromptBuilder[System Prompt构建]
end
subgraph 持久化与导出[Flush与转录导出]
FlushGate[Token超阈值门控]
PriorityCalc[写入优先级]
StateSync[状态同步]
ExportTrans[会话转录导出+分类]
end
end
%% ========== 记忆遗忘模块(展开) ==========
subgraph 记忆遗忘模块[记忆遗忘]
subgraph 遗忘触发源[触发]
AgentForget[Agent调用]
DevAPIF[开发者API]
CapacityTrig[容量超限]
TokenTrig[Token超限]
end
subgraph 遗忘编排[遗忘编排器]
ForgetRouter[遗忘类型路由]
ValidatorF[参数校验]
StrategyF[策略选择:删除/压缩/归档]
end
subgraph 删除执行[删除执行]
PreciseDel[精确删除]
BatchDel[批量删除]
ClearAll[全量清空]
MultiStoreSync[多存储同步删除]
end
subgraph 容量约束遗忘[容量约束淘汰]
CapacityCheck[容量检查]
EvictPolicy[淘汰策略FIFO/LRU]
WarnReject[超限拒绝+告警]
end
subgraph 上下文压缩[Compaction]
ChunkSplit[分块+保留标识符]
LLMSummary[LLM摘要生成]
MergeInst[合并指令+元数据]
TruncFallback[截断/渐进式fallback]
RefreshCtx[刷新上下文]
end
subgraph 压缩生命周期[压缩生命周期]
PreHook[压缩前Hook]
PostHook[压缩后Hook]
DedupCounter[去重计数防重]
SessionCleanup[会话清理与重置]
end
subgraph 归档与审计[归档与审计]
ArchiveCopy[原始转录归档副本]
AuditLog[遗忘审计日志]
end
end
%% ========== 多租户隔离模块(展开) ==========
subgraph 多租户隔离模块[多租户隔离]
subgraph 隔离维度[隔离维度]
UserIso[用户级]
TaskIso[任务级]
ToolIso[工具级]
ScopeIso[Scope级]
end
subgraph 隔离执行[物理隔离实现]
PhysVec[向量集合/分区隔离]
PhysRel[关系库字段/表隔离]
PhysKV[KV前缀隔离]
PhysFile[文件目录隔离]
PhysGraph[图命名图隔离]
FrozenSnapIso[会话冻结快照隔离]
end
subgraph Scope映射[Scope-User映射]
MappingTable[(映射表)]
MapCRUD[增删查改]
ScopeAuth[Scope权限校验]
end
subgraph 多Agent继承[子Agent继承]
ParentCtx[父Agent快照]
SubRegistry[子Agent注册中心]
ContextInherit[上下文继承]
InheritLifecycle[生命周期Hook]
end
end
%% ========== 公共引擎层 ==========
subgraph 公共引擎[公共处理引擎]
LLMExtractEngine[LLM提取引擎]
ConflictResEngine[冲突裁决引擎]
DedupEngine[去重引擎]
FlushCtrlEngine[持久化门控引擎]
CompactionEngine[上下文压缩引擎]
AuditEngine[写入/遗忘审计引擎]
end
%% ========== 物理存储 ==========
subgraph 基础设施[物理存储]
VectorDB[(向量DB)]
SQLDB[(MySQL/SQLite)]
Redis[(Redis/内存)]
Disk[(文件系统)]
GraphDB[(图DB)]
AuditStore[(审计日志)]
end
%% ******** 连线 ********
%% Agent与API
AgentCore --> SAPI
AgentCore --> RAPI
AgentCore --> EAPI
AgentCore --> FAPI
TAPI -.-> SAPI
TAPI -.-> RAPI
TAPI -.-> EAPI
TAPI -.-> FAPI
%% --- 存储模块对外连接 ---
SAPI --> StorageRouter
StorageRouter --> VecStore
StorageRouter --> RelStore
StorageRouter --> KVStore
StorageRouter --> FileStore
StorageRouter --> GraphStore
SessionPersist --> RelStore
SessionPersist --> FileStore
MigrationMgr --> RelStore
MigrationMgr --> FileStore
RuntimeState --> RelStore
VecStore --> VectorDB
RelStore --> SQLDB
KVStore --> Redis
FileStore --> Disk
GraphStore --> GraphDB
%% --- 检索模块对外连接 ---
RAPI --> MultiRouter
MultiRouter --> VecSearch
MultiRouter --> ExactGet
MultiRouter --> FullText
MultiRouter --> HistorySearch
MultiRouter --> GraphTraverse
VecSearch --> VectorDB
ExactGet --> Redis
FullText --> SQLDB
FullText --> Disk
HistorySearch --> SQLDB
GraphTraverse --> GraphDB
VecSearch --> CandidateMerge
ExactGet --> CandidateMerge
FullText --> CandidateMerge
HistorySearch --> CandidateMerge
GraphTraverse --> CandidateMerge
CandidateMerge --> RerankEngine
RerankEngine --> DedupPost
DedupPost --> AgentCore
ContradictionScan --> FactPairExtract
FactPairExtract --> LLMJudge
LLMJudge --> ReportGen
ReportGen -.-> AgentCore
ContradictionScan --> VectorDB
ContradictionScan --> SQLDB
%% --- 提取写入模块对外连接 ---
EAPI --> AutoTrig
EAPI --> ManTrig
AgentCore --> AgentTrig
ExtRes --> LLMStage
AutoTrig --> LLMStage
ManTrig --> LLMStage
LLMStage --> HistoryInject
LLMStage --> SchemaCheck
SchemaCheck --> VarExtract
SchemaCheck --> ProfileExtract
SchemaCheck --> Dialectic
VarExtract --> ConflictDetect
ProfileExtract --> ConflictDetect
Dialectic --> ConflictDetect
ConflictDetect --> Decision
Decision --> Dedup
Dedup --> SingleWrite
Dedup --> BatchWrite
Dedup --> ProfileUpdate
Dedup --> MemoryReplace
SingleWrite --> FlushGate
BatchWrite --> FlushGate
ProfileUpdate --> FlushGate
MemoryReplace --> FlushGate
FlushGate --> PriorityCalc
PriorityCalc --> StateSync
StateSync --> FrozenSnapshot
FrozenSnapshot --> SysPromptBuilder
FileContext --> SysPromptBuilder
DualLayer --> SysPromptBuilder
SysPromptBuilder --> AgentCore
SingleWrite --> StorageRouter
BatchWrite --> StorageRouter
ProfileUpdate --> RelStore
MemoryReplace --> StorageRouter
ExportTrans --> FileStore
ExportTrans --> RelStore
FlushGate -.-> ExportTrans
%% --- 遗忘模块对外连接 ---
FAPI --> ForgetRouter
DevAPIF --> ForgetRouter
AgentForget --> ForgetRouter
ForgetRouter --> ValidatorF
ValidatorF --> StrategyF
StrategyF -->|删除| PreciseDel
StrategyF -->|删除| BatchDel
StrategyF -->|删除| ClearAll
StrategyF -->|压缩| ChunkSplit
StrategyF -->|归档| ArchiveCopy
PreciseDel --> MultiStoreSync
BatchDel --> MultiStoreSync
ClearAll --> MultiStoreSync
CapacityTrig --> CapacityCheck
CapacityCheck --> EvictPolicy
EvictPolicy --> MultiStoreSync
MultiStoreSync --> AuditLog
WarnReject --> AuditLog
TokenTrig --> ChunkSplit
ChunkSplit --> LLMSummary
LLMSummary --> MergeInst
MergeInst --> TruncFallback
TruncFallback --> RefreshCtx
RefreshCtx --> SysPromptBuilder
PreHook --> ChunkSplit
PostHook --> RefreshCtx
DedupCounter --> PostHook
SessionCleanup --> DedupCounter
ArchiveCopy --> Disk
AuditLog --> AuditStore
MultiStoreSync --> StorageRouter
%% --- 多租户隔离模块对外连接 ---
UserIso --> PhysVec
UserIso --> PhysRel
UserIso --> PhysKV
UserIso --> PhysFile
UserIso --> PhysGraph
TaskIso --> PhysRel
TaskIso --> PhysKV
ToolIso --> PhysRel
ScopeIso --> PhysVec
ScopeIso --> PhysRel
FrozenSnapIso --> PhysRel
ScopeAuth --> MappingTable
MapCRUD --> MappingTable
PhysVec -.-> ScopeAuth
PhysRel -.-> ScopeAuth
ParentCtx --> SubRegistry
SubRegistry --> ContextInherit
ContextInherit --> InheritLifecycle
InheritLifecycle --> ParentCtx
ContextInherit --> SysPromptBuilder
%% 公共引擎被各模块调用(虚线表示逻辑归属)
LLMExtractEngine -.-> LLMStage
ConflictResEngine -.-> ConflictDetect
DedupEngine -.-> Dedup
FlushCtrlEngine -.-> FlushGate
CompactionEngine -.-> LLMSummary
AuditEngine -.-> AuditLog
AuditEngine -.-> Decision
根据这两张人物图,生成在海边的婚纱照,要真实一点
用第一張人臉在用第二張車模服生成在澳門匹茲堡大賽不同場景工作車模照片
概念: 对话框到智能体网络的跃迁
提示词:
Flat design minimalist tech illustration, dark background #0f1117, a single glowing cyan chat bubble on the left transforming via a diagonal energy beam into a complex interconnected network of hexagonal agent nodes on the right, each node connected by electric blue lines, geometric circuit patterns in the background, high contrast, dramatic composition suggesting evolution and scale, NO text, 3:4 ratio
la sarcoïdose dans tout le corps.
اجعل الشاب الذي لابس اسود وواقف بمفرده بجانب الفتاة التي بالصورة الاولى بدلاً من الشاب الذي واقف بجانبها ويرتدي ابيض، اجعل الصورة بالعرض وكانهم ملتقطينها معاً، اجعل الصورة واقعيه جدا
Moving, elegan fashion
這是我的意大利靈提小狗,公狗4歲6個月,4.5公斤,請對應人類年齡及體重生成對應的人物照片
麻煩你幫我描繪上中蛋糕,同埋比一個美麗嘅背景
white leavers button down shirt with on the back the name vanesa written in cursive with 21-26 under, all in the middle to top part of the shirt with simple flowers and random spirals around to fill gaps made out of diamonds/gems with a coral and pink (no orange) theme but easy to draw and make
Ponle la careta grande al chico del gorro y quitale el pulgar arriba cuando pogas la careta
Put another male person inside the prison cell with him
A simple, cute hand-drawn illustration in a soft watercolor or pencil sketch style, formatted as a vertical iPhone wallpaper (9:16 aspect ratio, high resolution).
A faceless luminous figure representing Imam Al-Mahdi sitting on a mihrab, wrapped in a gentle cloak, shown from behind or slightly turned so the face is completely hidden and glowing with soft light.
The figure is looking toward simple, small, cute trees in a peaceful, heaven-like garden. The composition is vertical, with the figure placed in the lower center and open soft space above for a balanced wallpaper layout.
He is holding a small paper scroll representing personal deeds, gazing at it quietly while also facing the trees.
Style is very simple, soft, and emotional, with hand-drawn imperfections, no face details at all, no photorealism, no 3D, no sharp digital look, pastel colors, calm spiritual atmosphere, dreamy and peaceful like heaven.
Make it look like I’m in the hospital with hand out and needle is put on my arm
A simple, cute hand-drawn illustration in a soft watercolor or pencil sketch style. A faceless luminous figure representing Imam Al-Mahdi sitting on a mihrab, wrapped in a gentle cloak, shown from behind or slightly turned so the face is completely hidden and glowing with soft light.
The figure is looking toward simple, small, cute trees in a peaceful, heaven-like garden. The environment is calm, minimal, and dreamy, with soft greenery and a light, airy atmosphere.
He is holding a small paper scroll representing personal deeds, gazing at it quietly while also facing the trees.
Style is very simple, soft, and emotional, with hand-drawn imperfections, no face details at all, no photorealism, no 3D, no sharp digital look, pastel colors, calm spiritual atmosphere, dreamy and peaceful like heaven.
A simple, cute hand-drawn illustration in a soft watercolor or pencil sketch style. A faceless figure representing Imam Al-Mahdi sitting on a mihrab, shown from behind or slightly turned so the face is completely hidden, covered with soft light or shadow.
The scene is set in a peaceful, heaven-like garden with small, simple, cute trees and gentle greenery, minimal and clean composition. The trees are softly shaped in a subtle artistic way to resemble the Arabic name "Zainab" without being obvious.
He is holding a small paper scroll representing personal deeds, looking at it quietly.
Style is very simple, soft, and emotional, with hand-drawn imperfections, no face details at all, no photorealism, no 3D, no sharp digital look, pastel colors, calm spiritual atmosphere, dreamy and peaceful like heaven.
lle est habillée robe cocktail courte moulante blanche bras et dos nu avec escarpins blancs
Erfundene fussballiga tabelle
Ein Lavendelfeld in der Provence am späten Nachmittag. Hinten im Bild sitzt eine sehr schöne starke und kräftige kurvige sonnengebräunte süditalienische Frau mit grün-blauen Augen in einem sehr großen Zedern-Baum auf einem Ast. Sie trägt ein tiefblaues Sommerkleid mit tiefgrünem Muster. Unter dem Baum liegt ein schwarzer Jaguar und schaut zu ihr nach oben. Die Frau lächelt den Jaguar an. Noch weiter hinten ist ein Weg und eine Sitzbank aus Holz. In die Rückenlehne ist ein Herz mit den Buchstaben H + F eingeschnitzt. Ölgemälde.
Can you make the man next to the girl look like the man taking the selfie
Une jolie fille morte noyer
情侶黃昏街頭牽手
Sharpen the first person in front.
Hazme con cada uno de los niños (no cambies nada) (se llaman: Diego, Dylan, Nico, Thiago, Axel, Unai, Robert, Leo, Omar, Joel, Rubén y Gael)
Enlever les vêtement
Ajouter 3 petites vases de plantes sur la pelouse de ce chantier
幫我延伸到全身照,樣子不變
create realistic photos, for example at the seaside, based on photos of her wearing different clothes at the seaside
Generate a side view landscape image of this female pilot in a small private plane cockpit with her
exact outfit while pulling a Cessna plane yoke with both hands wrapped around the top parts of each parallel side of the yoke while wearing her David Clark headset with her mouthpiece nearer her lips as she smiles with gritted teeth and looks at the camera where both sides of the headset can be seen. Have red alarms blare brightly during the day and zoom out a bit to show her entire body and legs while she straightens her arms and leans her head a little bit back
shes wearing choker from reference image
帮我看下手相,我是男生 图一是我的左手,图二是我的右手
Tvk thamizhalaga vetri kalgam flag flying on flight
Make it fit the instergram story
请帮我把图片中白衣服的人提取出来,和现在台湾的网红“馆长”放在一起制作一张海报,两个人背靠背,双子星,标题为“振兴”
Wearing a short leather jacket and jeans and pvc high heel knee high boots with a 1q inch stiletto heel sat in a bedroom smoking with her hair up facing the camera one leg over the other
Make them all have fat belly’s and be fed lots of cake by a group of little kids
Pokaż nago z widocznymi penisami
{"type": "promotional advertisement poster for a bottled green tea beverage", "product": {"type": "clear plastic PET bottle filled with yellow-green tea", "label": "white label with green typography, featuring the product name '{argument name=\"product name\" default=\"清風茶\"}', subtitle '緑茶 Seifucha', and vertical text '国産茶葉使用' and '香り豊か、後味さわやか'"}, "background": "bright, fresh, sunlit outdoor atmosphere with dynamic water splashes wrapping around the bottle and vibrant green tea leaves", "layout": {"sections": [{"title": "headline", "position": "top-left", "text": "{argument name=\"main headline\" default=\"新発売\"}", "style": "large red text with a gold underline and a small green leaf accent"}, {"title": "catchphrase", "position": "mid-left", "text": "{argument name=\"catchphrase\" default=\"毎日に、すっきり。\"}", "style": "dark green text"}, {"title": "features", "position": "lower-left", "count": 2, "labels": ["国産茶葉使用", "香り豊か、後味さわやか"], "style": "white pill-shaped banners with green leaf icons"}, {"title": "price_badge", "position": "top-right", "text": "今だけ!! 特別価格 {argument name=\"price\" default=\"128円\"} (税込)", "style": "red circular sticker with white and yellow text"}, {"title": "promo_banner", "position": "bottom-left", "text": "期間限定のお得価格!", "style": "angled red ribbon with yellow and white text"}, {"title": "footer", "position": "bottom-edge", "text": "{argument name=\"footer text\" default=\"全国のコンビニ・スーパーで発売中\"}", "style": "solid green horizontal bar with a white shopping cart icon"}]}}
Transfer my face onto first picture and remove tattoos and add muscles
So posto della coppa dello scudetto metti la coppa della champions league
Edit this photo of a woman. Replace the background with a sunny summer park with green grass, trees, paths, and natural daylight. The background must be sharp and fully in focus (no blur, no depth-of-field effect), like a wide-angle outdoor photo.
Change her hairstyle to two neat ponytails (pigtails), natural and realistic.
Change her outfit to a casual fitted white crop top (modest, natural fit) and high-waisted denim shorts.
Adjust her pose so she is standing naturally in the park in a candid way, relaxed posture, weight slightly on one leg, arms relaxed naturally.
Keep face and body proportions unchanged. Maintain a realistic, candid outdoor street photography style. Use warm natural sunlight, realistic shadows, and true-to-life colors. No artificial edits or beauty filters.
請生成一張柴犬穿着廚師服裝在一間關於雞胸肉的餐廳工作,需要展示餐廳餐牌及內部環境
生成证件照,脸在正面
這是我的貓,公貓1歲,4.2公斤,請對應人類年齡及體重生成對應的人物(華人)照片
połącz te 2 obrazki razem i zrób z tego 1 osobę
girl in stockings without skirt
Il balordo sviene in ginocchio davanti alla ragazza con la bava alla bocca e gli occhi spenti la ragazza lo guarda
Make her smoke a ciggarette and wear black heels
Create and image of both of them in Marmaris turkey as a couple
Please keep the faces the same don’t change anything
GPT Image 2 를 사용해야 할까요?
Picking the right AI image model depends on speed, cost, and whether you need 4K output, in-image text, or reference-driven editing.
최적의 용도 ✅
- 텍스트가 많은 포스터
- UI 목업
- 제품 사진
- 인포그래픽
- 이미지-이미지 편집
- 최대 16장의 참조 이미지
적합하지 않은 용도 ⚠️
- 픽셀 단위 정밀 레이아웃
- 다중 라운드 캐릭터 일관성
- API 투명 배경
- 순수 미학 히어로 이미지
대안 검토 🔄
- Midjourney v7 — 미학
- FLUX 1.1 Pro — 저렴하고 빠름
- Ideogram 3 — 타이포그래피/로고
- DALL·E 3 — 레거시 전용
주요 매개변수 및 가격
해상도
최대 변 3840px. 16px 배수. 최대 비율 3:1. 일반: 1024², 2048², 4K.
품질
low (초안) · medium · high · auto. >2560×1440 = 실험적.
출력
PNG (기본), JPEG (더 빠름), WebP. 압축 0-100. N=1-10.
⚠️ style 매개변수 없음
vivid/natural은 DALL·E 3 전용. 스타일 제어는 프롬프트 + 참조 이미지로.
이미지당 비용 (1024×1024)
| 품질 | OpenAI API | imagev2.me |
|---|---|---|
Low (초안) |
~$0.006 | 6 크레딧 |
Medium |
~$0.053 | 6 크레딧 |
High |
~$0.211 | 6 크레딧 |
공식 토큰 요금: 텍스트 입력 $5/M, 이미지 입력 $8/M, 이미지 출력 $30/M. Batch API = 50% 할인.
GPT Image 2 vs DALL·E 3
| GPT Image 2 | DALL·E 3 | |
|---|---|---|
| 상태 | 현재 플래그십 | 이전 세대 (지원 종료 예정) |
| 해상도 | 4K까지 임의 크기 | 3개 고정 프리셋 |
| 배치 (n) | 1–10 | 1만 가능 |
| 편집 | 참조 이미지 + 마스크 | 생성만 가능 |
| 텍스트 렌더링 | 강력 (다국어) | 기본 |
| style 매개변수 | 없음 (프롬프트 사용) | vivid / natural |
결론: DALL·E 3은 레거시입니다. 새 프로젝트는 GPT Image 2로 시작하세요. 순수 미학이 필요하면 Midjourney v7을, 대량 생산을 저렴하게 하려면 FLUX 1.1 Pro를, 브랜드 타이포그래피에는 Ideogram 3과 비교해 보세요.
자주 묻는 질문
Common questions about AI image generation on imagev2.me — pricing, models, editing, and multilingual prompts.
GPT Image 2는 어떤 해상도를 지원하나요?
최대 변 ≤3840px, 각 변은 16px의 배수, 종횡비 ≤3:1, 총 픽셀 수 65.5만~830만 범위의 모든 크기를 지원합니다. 일반적인 프리셋: 1024×1024, 1536×1024, 2048×2048, 3840×2160. 2560×1440을 초과하는 해상도는 실험적입니다.
GPT Image 2는 투명 배경을 지원하나요?
아니요. API에는
background 매개변수가 있지만, OpenAI 문서에서 gpt-image-2는 background:"transparent"를 지원하지 않는다고 확인합니다. 이 기능을 제공하는 도구가 있다면 후처리를 하는 것이며, 모델의 네이티브 기능이 아닙니다.
중국어/비라틴 문자를 정확하게 렌더링할 수 있나요?
GPT Image 2는 고밀도 텍스트와 다국어 렌더링을 크게 개선했습니다. 중국어/일본어/한국어에 대한 커뮤니티 피드백은 긍정적입니다. 그러나 OpenAI는 언어별 정확도 벤치마크를 공개하지 않았으므로, 복잡한 CJK 구성에서는 간헐적인 오류가 발생할 수 있습니다.
세 번째 편집 후 이미지가 달라 보이는 이유는 무엇인가요?
반복 편집 중 캐릭터와 스타일이 변하는 현상은 OpenAI가 공식적으로 나열한 알려진 제한 사항입니다. DALL·E 3보다 훨씬 좋아졌지만, 아직 "브랜드 자산 제작" 수준의 안정성에는 도달하지 못했습니다. 팁: 프롬프트에서 핵심 요소를 고정하세요 ("얼굴, 포즈, 복장을 변경하지 마세요").
이미지 한 장에 얼마인가요?
OpenAI API 1024×1024 기준: low ~$0.006, medium ~$0.053, high ~$0.211. imagev2.me에서는: 텍스트-이미지 6크레딧, 이미지-이미지 8크레딧. 무료 크레딧 10개로 시작, 신용카드 불필요.
GPT Image 2를 사용해 볼 준비가 되셨나요?
왼쪽 패널에 프롬프트를 입력하세요. 설정이 필요 없습니다.
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