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Janus Pro 7B

BildgenereringTillgänglig
av DeepSeekModell-ID: janus-pro-7b

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

ProvaHämta API-nyckelJämför
Pris
≈ 0,0169 US$/körning
Inmatning → utmatning
Text → Bild
Utvecklare
DeepSeek
Uppdaterad
23 september 2026
01

Playground

Prova Janus Pro 7B

Ingen inmatningsformulär

≈ 0,0169 US$/körning

Ingen inmatningsformulär för denna modell än

Dess inmatningar är ännu inte dokumenterade. För att ingen körning ska misslyckas på grund av felaktig inmatning erbjuder vi ingen formulär här. Välj istället en jämförbar modell.

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

Om Janus Pro 7B

Kort sagtFrån och med 23 september 2026

Janus Pro 7B är en modell av DeepSeek i kategorin Bildgenerering. På Railwail kostar Janus Pro 7B ≈ 0,0169 US$ per körning.

Bakgrund

Om DeepSeek

Grundat 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.

Besök DeepSeek

Arkitektur

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.

Parameter
7B parameters (Janus-Pro-7B)
Kontext
4 096 tokens

Funktioner

  • 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.

Träning & licens

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.

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

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

Kända begränsningar

  • 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

Forskningsartiklar

04

Priser

Priser i US-dollar. Användningen debiteras från förbetald kredit.
Typisk körning (≈ 14 s på L40S)0,0169 US$ per körning
GPU-tid (L40S)0,00117 US$ per GPU-sekund
  • Faktureras enligt den GPU-tid som körningen faktiskt tar. När körningen startar reserveras 3× det typiska priset från ditt saldo och regleras efteråt.
  • 1 kredit = 0,01 US$

Kostnadsräknare

Prisräknare

s

Typisk enligt leverantören: ca 14,4 s

Totalt

1,69 US$

169 krediter

Per körning

0,0169 US$ · 1,69 krediter

Faktureras enligt faktisk GPU-tid; detta är en uppskattning.

05

API

Anropa Janus Pro 7B med din Railwail API-nyckel. Använd detta modell-ID i begäran:
janus-pro-7bAPI-dokumentationHämta API-nyckel

Inget verifierat API-exempel

Inmatningarna för denna modell är ännu inte dokumenterade.

06

Specifikationer

Modell-ID
janus-pro-7b
Utvecklare
DeepSeek
Kategori
Bildgenerering
Inmatning
Text
Utmatning
Bild
Fakturering
Efter användning (tokens eller GPU-tid)
Modellstorlek
7B parameters (Janus-Pro-7B)
Licens
DeepSeek Janus License — open weights, free for research and commercial use with attribution and standard restrictions.
Kataloginlägg uppdaterat
23 september 2026

Taggar

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

Användningsfall

Vad det används till

  • 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

Vanliga frågor

Vad är Janus Pro 7B?

Janus Pro 7B är en modell av DeepSeek i kategorin Bildgenerering.

Vad kostar Janus Pro 7B på Railwail?

På Railwail kostar Janus Pro 7B ≈ 0,0169 US$ per körning. Du debiteras för det som varje begäran faktiskt använder. Användningen betalas från förbetald kredit; 1 kredit motsvarar 0,01 US$.

Hur snabb är Janus Pro 7B?

Det finns ännu inte tillräckligt många uppmätta körningar av Janus Pro 7B på Railwail för att ange en körningstid. Det beror på inmatningen, inställningarna och belastningen hos leverantören.

Är Janus Pro 7B bättre än FLUX 1.1 Pro?

Det beror på uppgiften. Janus Pro 7B (DeepSeek) och FLUX 1.1 Pro (Black Forest Labs) är båda modeller i kategorin Bildgenerering. Jämförelsesidan visar deras priser och specifikationer sida vid sida.

Jämför Janus Pro 7B och FLUX 1.1 Pro
09

Jämförbara modeller

Alla i denna kategori
  • Icons (SDXL Flat Pop)Community

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    ≈ 0,0094 US$/körning

    44 % billigare per enhet

    Jämför Janus Pro 7B och 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$/körning

    397 % dyrare per enhet

    Jämför Janus Pro 7B och 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$/körning

    67 % billigare per enhet

    Jämför Janus Pro 7B och Sticker Maker

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