

ERNIE Image API 將 Baidu 以 Apache 2.0 釋出的開放權重 8B Diffusion Transformer,由 ERNIE-Image Team 帶進你的技術堆疊。它在 LongTextBench 上以 0.9733 名列前茅,能讓海報標題與漫畫對話框保持清晰可讀;同時,蒸餾版 Turbo 變體可將推論從 50 steps 縮短至 8。Atlas Cloud 透過單一 OpenAI-compatible endpoint 提供服務,並採用透明的 pay-as-you-go 定價。立即開始建置。
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依據你的速度與品質需求,選擇合適的文生圖端點。
| 模態 | 說明 |
|---|---|
| ERNIE Image API (Text To Image) | Turbo endpoint 著重於輸出吞吐量,而標準版 ERNIE Image API 則在同樣的文生圖任務上更偏向追求最高的輸出保真度。它適合海報、編輯視覺與商業版面等最終製作用途;在這些情境中,把每個細節做到位比交付速度更重要。 |
| ERNIE Image Turbo API (Text To Image) | 只需一段文字提示,即可在單次請求中產生最多 10 張圖片,並支援 7 種長寬比,從正方形 1024 pixels 到長邊最高 1376 pixels。它針對低延遲調校,預設使用 8 inference steps,並內建 Prompt Enhancer,可在生成前擴展過於簡短的提示。當快速迭代、即時預覽與大量批次執行比榨出最後一點品質提升更重要時,就適合使用它。 |
從業界領先的文字渲染與結構化多分鏡版面,到原生雙語提示詞、預設啟用的提示詞增強器、七種輸出尺寸,以及可重現的 Turbo 批次,ERNIE Image API 能將精準指令轉化為可投入生產的影像。

憑藉領先的 LongTextBench 0.9733 分數,模型可直接在生成影像中渲染清晰可讀、拼寫正確的文字。漫畫對話框、海報標題、資訊圖表標籤與 UI mockup 文案都能保持銳利且易讀。

生成、編輯、合成與放大等基礎能力,搭配對網格式空間關係的理解一同運作。兩者結合可產出連貫的多分鏡序列與格式化設計,讓設計師能透過單一集中式流程掌控。

英文與中文提示詞都能透過同一套編碼器流程原生處理,捕捉任一語言的慣用表達。這種雙語流暢度可支援全球行銷活動與在地化內容的真實視覺敘事。

輕量級 Prompt Enhancer 預設啟用,會在短輸入送達擴散骨幹前,將其改寫為更豐富、結構化的描述。當精確字句的字面控制更重要時,可針對每次請求將其關閉。

七種原生輸出尺寸涵蓋正方形 1024x1024、最高至 1376x768 的橫向構圖,以及最低至 768x1376 的直向尺寸。每種比例都直接生成,因此所有格式都能保持構圖完整。

需要大量產出又不想等待?Turbo mode 最少只需 8 個推論步驟,每次請求最多可回傳 10 張影像,同時可透過明確 seed 讓每個結果都能重現。
把完全相同的創作簡報交給旗艦 ERNIE Image 模型、一個熱門競品,以及它速度更快的同系模型,並並排評比各自對文字排版、版面配置與光線的呈現。
俯視平鋪靜物攝影,鏡頭完全固定在正上方,垂直向下俯拍一間傳統中式涼茶鋪中風化的淺色榆木藥櫃檯面。上午偏晚的硬質方向性窗光從右側低角度斜掠而入,成為畫面真正的主角——投下修長、清晰、拉長的陰影,向左延伸穿過原木紋理,形成引導線。畫面右側密集區域中,緊密聚集的透明玻璃罐在陽光穿透下發光:半透明的乾菊花蕾、紅色枸杞、捲曲的琥珀色陳皮,以及捕捉光線的深緋紅乾洛神花瓣。一座小型氧化黃銅手持天平帶有霧面包漿,一只磨舊石臼與杵沾著細粉,粗纖維手寫紙藥方單上以工整毛筆書法寫著繁體楷書中文字(「甘草三钱」、「桂花蜜」),邊緣磨損起毛、纖維清晰。捕捉正在發生的一瞬間:一只錫製罐子翻倒側躺,罐口敞開,幾顆枸杞仍在滾動並向外散落,每顆都投下細如針、長而薄的陰影。構圖在密度與留白之間呼吸——右側擁擠的物件群,與左側大片空曠裸木負空間取得平衡。整體為單色系溫暖調性——琥珀、橘橙、老黃銅金——僅由一抹深色洛神紅打破。材質必須經得起放大檢視:乾花瓣的脆薄、氧化黃銅的黯淡質感、紙張邊緣粗糙的纖維、鬆散粉末的顆粒紋理。自然方向光,無人工光暈,乾淨清晰的陰影,寫實材質渲染,克制而優雅,具微距細節的食材與草本靜物攝影,以 85mm lens 拍攝,寬幅水平風景構圖,wide 16:9 aspect ratio,full-bleed。

Generated with Baidu ERNIE Image Turbo on Atlas Cloud

Generated with Qwen Image 2.0 on Atlas Cloud

Generated with Baidu ERNIE Image Turbo on Atlas Cloud
一則三格橫向漫畫分鏡,描繪一名少女發明家在凌亂的閣樓工作室中行動。第一格,她在溫暖燈光下素描一台小型飛行機器;第二格,那台裝置劈啪作響並升到半空,螺栓四散飛出;第三格,她高舉雙拳,咧嘴笑著慶祝勝利。乾淨的雙語對話泡泡中呈現清晰的 English 與 Japanese 字體,搭配自信俐落的墨線與網點陰影,溫暖琥珀色燈光與工作室冷色陰影取得平衡。角色設計在三格中保持一致,姿態富有表情,故事由左至右閱讀且序列流暢清楚。鮮明 cel-shaded anime illustration style,粗黑且乾淨的輪廓線。Wide 16:9 aspect ratio,full-bleed。

Generated with Baidu ERNIE Image Turbo on Atlas Cloud

Generated with Qwen Image 2.0 on Atlas Cloud

Generated with Baidu ERNIE Image Turbo on Atlas Cloud
From text-perfect posters and multi-panel comics to bilingual campaigns, product catalogs, interface mockups, and labeled infographics, the ERNIE Image API turns precise prompts into layout-accurate visuals across every content pipeline.
Legible headlines, pricing, and product copy render straight into campaign posters and banners thanks to the model's leading text accuracy. Marketing teams ship print-ready assets directly, with no separate typesetting step required.
Because the model understands grid-based layout and multi-panel structure, it renders coherent comic pages with dialogue set inside speech bubbles. Independent creators and studios draft full storyboards without redrawing every frame by hand.
Native English and Chinese prompt support means one workflow produces on-brand visuals for both markets, with text rendered correctly in each script. Global teams localize creative without hiring separate design pipelines per language.
Generate lifestyle scenes, product mockups, and promotional imagery across a full catalog through a single API call. The Turbo variant compresses inference to eight steps, so high-volume stores refresh entire catalogs in minutes.
Need realistic screens for a pitch? The model renders app interfaces and website mockups with readable labels, buttons, and body copy, giving product teams presentation-ready prototypes before a single component is built.
Strong instruction following pairs imagery with clearly labeled diagrams, charts, and callouts in a single generation. Educators and analysts turn dense source material into explainer graphics that stay legible at any display size.
了解 ERNIE Image 在開發者來源、存取模式、雙語文字渲染與每張圖片成本等面向,與其他開放及專有生成器相比的定位。
| 模型 | 開發者 | 存取模式 | 雙語文字渲染(EN + ZH) | 價格(每張圖片) |
|---|---|---|---|---|
| ERNIE-Image | 百度(ERNIE-Image 團隊) | 開放權重,Apache 2.0 | 業界領先,LongTextBench 0.9733 | 按量付費 |
| ERNIE-Image Turbo | 百度(ERNIE-Image 團隊) | 開放權重,Apache 2.0 | 透過 DMD-distilled 8-step inference 維持表現 | 按量付費 |
| Qwen Image 2.0 | 阿里巴巴(Tongyi) | 開放權重,Apache 2.0 | 在 1K-token 文字排版版面上表現強勁 | $0.035 |
| Z-Image Turbo | 阿里巴巴(Tongyi Lab) | 開放權重,Apache 2.0 | 可同時處理複雜中文招牌與英文 | $0.005 |
| Seedream v4.5 | 字節跳動 | 專有 | 原生 4K 的設計師級渲染 | $0.04 |
幾分鐘即可上手 — 按照以下簡單步驟,透過 Atlas Cloud 平台整合和部署模型。
在 atlascloud.ai 註冊並完成驗證。新用戶可獲得免費額度,用於探索平台和測試模型。
將先進的 ERNIE Image API for Readable Text in Images 模型與 Atlas Cloud 的 GPU 加速平台相結合,提供無與倫比的效能、可擴展性和開發體驗。
低延遲:
GPU 最佳化推理,實現即時回應。
統一 API:
一次整合,暢用 ERNIE Image API for Readable Text in Images、GPT、Gemini 和 DeepSeek。
透明定價:
按 Token 計費,支援 Serverless 模式。
開發者體驗:
SDK、資料分析、微調工具和模板一應俱全。
可靠性:
99.99% 可用性、RBAC 權限控制、合規日誌。
安全與合規:
SOC 2 Type II 認證、HIPAA 合規、美國資料主權。
The ERNIE Image API gives developers programmatic access to Baidu's open-weight text-to-image model, an 8B single-stream Diffusion Transformer paired with a Prompt Enhancer that expands short prompts into richer, more structured descriptions. On Atlas Cloud you reach it through one OpenAI-compatible endpoint with pay-as-you-go pricing and Day-0 access.
Its standout strength is legible in-image text. The model scores 0.9733 on LongTextBench in English, the top result among open-weight models, which makes it dependable for posters, comic speech bubbles, infographics, and UI mockups where every character has to be spelled correctly.
Both variants share the same 8B architecture but trade quality against speed. The Standard model runs 50 inference steps at guidance scale 4.0 for maximum fidelity on final assets, while the Turbo variant is distilled with DMD and reinforcement learning down to roughly 8 steps for rapid, high-volume generation.
Yes. Prompts are supported in English, Chinese, and Japanese through the same encoder, and text stays reliable across scripts, scoring 0.9661 on the Chinese LongTextBench. Where several competing models degrade sharply on Chinese characters, this one keeps Simplified, Traditional, and mixed bilingual copy clean.
The Turbo endpoint accepts seven preset sizes through a single size parameter, ranging from a 1024x1024 square to 1376x768 landscape and 768x1376 portrait formats. You can also request up to ten images per call, fix a seed for reproducible results, and toggle the built-in Prompt Enhancer with the use_pe flag.
Getting started takes a single API key. Sign up on Atlas Cloud, point your existing OpenAI-compatible client at the endpoint, and send a prompt with an optional size and seed to receive image URLs in the response. Billing is pay-as-you-go per call with Day-0 access to the model.
In published benchmarks the model outperforms comparable open releases such as FLUX.2-klein-9B, scoring 0.8856 against 0.8481 on GenEval overall. Its widest lead is in text rendering, where FLUX.2 collapses to 0.2183 on Chinese while ERNIE Image holds above 0.96. For workloads built around readable in-image text and structured layouts, it is currently the strongest open-weight choice.
Yes. ERNIE Image is released under the Apache 2.0 license, which permits commercial use, modification, and redistribution. Generated images can go into advertising, merchandise, publications, and other commercial products without license friction.
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