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Janus Pro 7B

توليد الصورمتاح
من DeepSeekمعرّف النموذج: janus-pro-7b

DeepSeek's unified multimodal model. Decouples vision encoding for both understanding and generation tasks.

جرّبهاحصل على مفتاح APIمقارنة
السعر
≈ ‏0.0169 US$/تشغيل
Input → output
نص → صورة
مطور
DeepSeek
تم التحديث
23 سبتمبر 2026
01

Playground

جرّب Janus Pro 7B

لا توجد نموذج إدخال

≈ ‏0.0169 US$/تشغيل

لا توجد نموذج إدخال لهذا النموذج حتى الآن

لم يتم توثيق مدخلاته بعد. حتى لا يفشل أي تشغيل على إدخال خاطئ، لا نقدم نموذجاً هنا. اختر نموذجاً مماثلاً بدلاً من ذلك.

02

Examples

Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.
  • InputInput

    Prompt

    Convert the formula into latex code.

    Response

    Here is the formula in LaTeX code: \[ A_n = a_0 \left[ 1 + \frac{3}{4} \sum_{k=1}^{n} \left( \frac{4}{9} \right)^k \right] \]

  • InputInput

    Prompt

    explain this meme

    Response

    This image is a humorous meme that plays on the similarity in appearance between two individuals, one labeled "OpenAI" and the other "DeepSeek." Here's a detailed breakdown: 1. **Top Image (OpenAI)**: - The person is holding a firearm and appears to be in a shooting stance. - The label "OpenAI" is placed over the individual, suggesting that they are being humorously compared to the AI company OpenAI. 2. **Bottom Image (DeepSeek)**: - The person is also holding a firearm and in a similar shooting stance. - The label "DeepSeek" is placed over the individual, implying a humorous comparison to DeepSeek, a company known for its work in artificial intelligence and machine learning. 3. **Humor and Meaning**: - The meme humorously compares the two individuals based on their similar appearance and actions. - It plays on the idea that both OpenAI and DeepSeek are involved in AI research and development, and the meme creator is using the visual similarity to create a joke. 4. **Context**: - The image is likely taken from a sporting event, as indicated by the background and the seating. - The meme is a lighthearted way to highlight the similarities between the two entities, with no serious intent. In summary, the meme is a playful comparison between two individuals, using their visual similarity and the context of holding firearms to create a humorous joke.

  • InputInput

    Prompt

    explain this meme

    Response

    This image is a humorous meme comparing two concepts: "Decoupling Visual Encoding" and "Single Visual Encoder." 1. **Left Side: Decoupling Visual Encoding** - The image shows a muscular, strong-looking dog, representing a robust and powerful concept. - This symbolizes "Decoupling Visual Encoding," which implies a more efficient or effective way of encoding visual information. The muscular dog suggests strength, efficiency, and robustness in handling visual data. 2. **Right Side: Single Visual Encoder** - The image shows a smaller, less muscular dog, looking tired or less confident. - This represents "Single Visual Encoder," which suggests a simpler or less powerful approach to encoding visual information. The smaller dog implies that this method might not be as effective or robust as the decoupled approach. ### Overall Meaning: The meme humorously contrasts two concepts in the field of computer vision or machine learning, where "Decoupling Visual Encoding" is depicted as a more powerful and efficient method, while "Single Visual Encoder" is portrayed as less effective or less robust. The use of the Doge meme characters adds a layer of humor and relatability to the comparison.

03

حول Janus Pro 7B

الملخصاعتباراً من 23 سبتمبر 2026

Janus Pro 7B هو نموذج من DeepSeek في فئة توليد الصور. على Railwail، يكلف Janus Pro 7B ≈ ‏0.0169 US$ لكل تشغيل.

الخلفية

حول DeepSeek

تأسس في 2023 · Hangzhou, China

DeepSeek (深度求索) is a Chinese AI research lab founded in May 2023 in Hangzhou by Liang Wenfeng, the founder of the quant hedge-fund High-Flyer (which funds the lab). DeepSeek became globally prominent in late 2024 and early 2025 with the release of DeepSeek-V3 (Dec 2024), DeepSeek-R1 (Jan 2025) and the Janus multimodal family. The Janus series is DeepSeek's unified understanding-and-generation model: Janus (Oct 2024), JanusFlow (Nov 2024) and Janus Pro (Jan 2025) extend a single Transformer to both interpret images and generate them with a decoupled visual encoder design. All Janus models are open-sourced under a permissive license on Hugging Face and GitHub.

زيارة DeepSeek

العمارة

Unified autoregressive multimodal Transformer (understanding + image generation)

Janus-Pro-7B (January 2025) is the largest member of the Janus family from DeepSeek. The model unifies multimodal understanding and image generation in a single autoregressive Transformer, but uniquely decouples the visual encoders for the two tasks: a SigLIP-style ViT encoder is used for image understanding (so visual features are semantic), while a VQ tokeniser based on LlamaGen is used for image generation (so visual features are reconstruction-oriented). Both feature paths are projected to the same 7B LLM backbone, which generates either text or image tokens depending on the task. For image generation Janus-Pro produces 384x384 images by autoregressive sampling of VQ tokens which are then decoded by the LlamaGen decoder. Janus-Pro improves over Janus by scaling data to ~90M image-text pairs and adding a second stage of supervised fine-tuning. DeepSeek reports that Janus-Pro-7B beats DALL-E 3, SD3-Medium and SDXL on GenEval and DPG-Bench, despite being a much smaller and unified model.

المعاملات
7B parameters (Janus-Pro-7B)
السياق
4,096 رمز

الإمكانيات

  • Unified image understanding + image generation in one 7B model
  • Open weights under permissive DeepSeek license
  • Outperforms DALL-E 3 and SD3-Medium on GenEval (per DeepSeek paper)
  • 384x384 native generation resolution
  • Compatible with Hugging Face Transformers and vLLM
  • Useful for multimodal agents that both see and draw
  • Strong instruction-following thanks to LLM-style backbone
  • Best for: research, multimodal agents, prototyping unified pipelines, fine-tuning.

التدريب والترخيص

Pretrained on a mix of ~90M image-text pairs, text-only data and image-only data. Janus-Pro-7B adds extra supervised fine-tuning stages and a larger unified dataset compared to Janus 1B.

الترخيص: DeepSeek Janus License — open weights, free for research and commercial use with attribution and standard restrictions.

اختبارات الأمان: DeepSeek applies content filters and reports safety evaluations in the Janus-Pro technical report, but the open weights ship without integrated safety classifier.

القيود المعروفة

  • Only 384x384 native resolution — needs upscaler for production
  • Image quality below dedicated diffusion models like FLUX 1.1 [pro]
  • Open weights have no built-in safety filter
  • Autoregressive sampling is slower per pixel than diffusion at high res

أوراق البحث

04

التسعير

الأسعار بالدولار الأمريكي. يتم احتساب الاستخدام من الأرصدة المدفوعة مقدماً.
التشغيل النموذجي (≈ 14 ث على L40S)‏0.0169 US$ لكل تشغيل
وقت GPU (L40S)‏0.00117 US$ لكل ثانية GPU
  • يتم الفرز بناءً على وقت GPU الذي يستغرقه التشغيل فعلياً. عند بدء التشغيل، يتم حجز 3× السعر النموذجي من رصيدك ويتم تسويته لاحقاً.
  • 1 رصيد = ‏0.01 US$

حاسبة التكلفة

حاسبة الأسعار

s

نموذجي وفقاً للمزود: حوالي 14.4 ث

الإجمالي

‏1.69 US$

169 رصيد

لكل تشغيل

‏0.0169 US$ · 1.69 رصيد

يتم الفرض بناءً على وقت GPU الفعلي؛ هذا تقدير.

05

API

استدعِ Janus Pro 7B باستخدام مفتاح Railwail API الخاص بك. استخدم معرّف النموذج هذا في الطلب:
janus-pro-7bتوثيق APIاحصل على مفتاح API

لا يوجد مثال API موثق

لم يتم توثيق مدخلات هذا النموذج بعد.

06

المواصفات

معرّف النموذج
janus-pro-7b
مطور
DeepSeek
الفئة
توليد الصور
الإدخال
نص
الإخراج
صورة
الفواتير
حسب الاستخدام (الرموز أو وقت GPU)
حجم النموذج
7B parameters (Janus-Pro-7B)
الترخيص
DeepSeek Janus License — open weights, free for research and commercial use with attribution and standard restrictions.
تم تحديث إدخال الكتالوج
23 سبتمبر 2026

الوسوم

  • deepseek
  • janus
  • open-weights
  • unified-multimodal
  • pricing-tbd
07

حالات الاستخدام

ما يُستخدم من أجله

  • Multimodal research and prototyping
  • Unified vision-language agents that draw + describe
  • Interactive image dialogue systems
  • Fine-tuning base for specialised generators
  • Educational demos of unified multimodal models
  • Visual question answering with generation
08

الأسئلة الشائعة

ما هو Janus Pro 7B؟

Janus Pro 7B هو نموذج من DeepSeek في فئة توليد الصور.

كم تكلفة Janus Pro 7B على Railwail؟

على Railwail، يكلف Janus Pro 7B ≈ ‏0.0169 US$ لكل تشغيل. يتم فرض رسوم عليك مقابل ما تستخدمه كل طلب فعلياً. الاستخدام يُدفع من أرصدة مدفوعة مقدماً؛ 1 رصيد يساوي ‏0.01 US$.

ما سرعة Janus Pro 7B؟

لا توجد عمليات تشغيل مقاسة كافية لـ Janus Pro 7B على Railwail حتى الآن لتحديد وقت التشغيل. يعتمد على الإدخال والإعدادات والحمل لدى المزود.

هل Janus Pro 7B أفضل من FLUX 1.1 Pro؟

هذا يعتمد على المهمة. Janus Pro 7B (DeepSeek) و FLUX 1.1 Pro (Black Forest Labs) كلاهما نموذج في فئة توليد الصور. تعرض صفحة المقارنة أسعارهما والمواصفات جنباً إلى جنب.

قارن Janus Pro 7B و FLUX 1.1 Pro
09

نماذج قابلة للمقارنة

الكل في هذه الفئة
  • Icons (SDXL Flat Pop)Community

    SDXL fine-tune by galleri5 for slick flat icons and pop constructivist graphics with thick edges. Trained on Bing generations, it produces clean single-subject icon art that suits app icons, badges and UI glyphs. Raster output, not true vector.

    ≈ ‏0.0094 US$/تشغيل

    44 % أرخص لكل وحدة

    قارن Janus Pro 7B مع Icons (SDXL Flat Pop)
  • InstantIDCommunity

    InstantID makes realistic portraits of a real person from a single reference photo without per-user training. Combines a face encoder with an IdentityNet adapter on SDXL to keep identity and pose while following a text prompt, so it is fast and tuning-free.

    ≈ ‏0.084 US$/تشغيل

    397 % أغلى لكل وحدة

    قارن Janus Pro 7B مع InstantID
  • Sticker MakerCommunity

    fofr's sticker generator that outputs graphics with transparent backgrounds, so the result drops straight into chat apps or print sheets. Runs an SDXL-based pipeline at high speed (default 17 steps) and returns die-cut style art without manual background removal.

    ≈ ‏0.0055 US$/تشغيل

    67 % أرخص لكل وحدة

    قارن Janus Pro 7B مع Sticker Maker

جميع النماذج عبر API واحدة

مفتاح API واحد لكل نموذج على Railwail. يتم احتساب الاستخدام من الأرصدة المدفوعة مقدماً، 1 رصيد = ‏0.01 US$.

احصل على مفتاح APIاستعرض جميع النماذج