Janus Pro 7B

Name: Janus Pro 7B
Brand: DeepSeek
SKU: janus-pro-7b
Price: 0.0169 USD
Availability: InStock

Piltide genereerimineSaadaval

DeepSeek pooltjanus-pro-7b

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

Proovi Hangi API võti Võrdle

Hind: ≈ 0,0169 $/käivitus
Sisend → väljund: Tekst → Pilt
Arendaja: DeepSeek
Uuendatud: 23. september 2026

Playground

Proovi Janus Pro 7B

Sisendvorm puudub

≈ 0,0169 $/käivitus

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Selle sisendid pole veel dokumenteeritud. Et käivitus ei ebaõnnestunuks vale sisendi tõttu, ei paku me siin vormi. Vali selle asemel sarnane mudel.

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.

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

Teave: Janus Pro 7B

LühidaltSeisuga 23. september 2026

Janus Pro 7B on mudel, mille on välja töötanud DeepSeek kategoorias Piltide genereerimine. Railwail'is maksab Janus Pro 7B ≈ 0,0169 $ käivituse kohta.

Taust

Teave DeepSeek kohta

Asutatud 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.

Külasta DeepSeek

Arhitektuur

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.

Parameetrid: 7B parameters (Janus-Pro-7B)
Kontekst: 4096 tokenit

Võimalused

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.

Treening ja litsents

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.

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

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

Teadaolevad piirangud

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

Teadusartiklid

Hinnad

Hinnad USA dollarites. Kasutamine arvestatakse eelmakstud krediitidest.

Tüüpiline käivitus (≈ 14 s L40S peal)	0,0169 $ käivituse kohta
GPU-aeg (L40S)	0,00117 $ GPU-sekundi kohta

Arvestatakse GPU-aeg, mida käivitus tegelikult võtab. Käivituse alustamisel reserveeritakse sinu saldost 3× tüüpiline hind ja arvutatakse hiljem.
1 krediit = 0,01 $

Kulukalkulaator

Hinna kalkulaator

GPU-sekundid käivituse kohta

Pakkuja andmetel tüüpiline: umbes 14,4 s

Käivitused

Kokku

1,69 $

169 krediiti

Käivituse kohta

0,0169 $ · 1,69 krediiti

Arvestatakse tegelik GPU-aeg; see on hinnang.

API

Kutsu Janus Pro 7B oma Railwail API võtmega. Kasuta selles päringus seda mudeli ID-d:

janus-pro-7bVaata API dokumentatsiooni Hangi API võti

Kontrollitud API-näide puudub

Selle mudeli sisendid pole veel dokumenteeritud.

Spetsifikatsioonid

Mudeli ID: janus-pro-7b
Arendaja: DeepSeek
Kategooria: Piltide genereerimine
Sisend: Tekst
Väljund: Pilt
Arveldamine: Kasutuse järgi (tokenid või GPU-aeg)
Mudeli suurus: 7B parameters (Janus-Pro-7B)
Litsents: DeepSeek Janus License — open weights, free for research and commercial use with attribution and standard restrictions.
Kataloogi kirje uuendatud: 23. september 2026

Sildid

deepseek
janus
open-weights
unified-multimodal
pricing-tbd

Kasutamise juhtumid

Milleks seda kasutatakse

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

Kõik mudelid: Piltide genereerimine

Korduma kippuvad küsimused

Mis on Janus Pro 7B?

Janus Pro 7B on mudel, mille töötas välja DeepSeek kategoorias Piltide genereerimine.

Kui palju maksab Janus Pro 7B Railwail'is?

Railwail'is maksab Janus Pro 7B ≈ 0,0169 $ käivituse kohta. Sulle arvestatakse see, mida iga päring tegelikult kasutab. Kasutamine makstakse eelnevalt ostetud krediitidest; 1 krediit võrdub 0,01 $.

Kui kiire on Janus Pro 7B?

Janus Pro 7B kohta ei ole Railwail'is veel piisavalt mõõdetud käivitusi, et käivitusaega väita. See sõltub sisendist, seadistustest ja pakkuja koormusest.

Kas Janus Pro 7B on parem kui FLUX 1.1 Pro?

See sõltub ülesandest. Janus Pro 7B (DeepSeek) ja FLUX 1.1 Pro (Black Forest Labs) on mõlemad mudelid kategoorias Piltide genereerimine. Võrdlusleht näitab nende hindu ja spetsifikatsioone kõrvuti.

Võrdle Janus Pro 7B ja FLUX 1.1 Pro

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Üks API võti kõigile Railwail mudelitele. Kasutamine arvestatakse eelmakstud krediitidest, 1 krediit = 0,01 $.

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