HunyuanVideo

Generovanie videíDostupné
od TencentID modelu: hunyuan-video

Tencent's HunyuanVideo, a 13B open-weights text-to-video diffusion transformer. Produces high-motion, photorealistic clips with smooth temporal consistency and was one of the first open models to rival closed systems on motion quality.

Cena
≈ 3,06 USD/spustenie
Vstup → výstup
Text → Video
Vývojár
Tencent
Aktualizované
23. septembra 2026
01

Playground

Vyskúšajte HunyuanVideo

Vstup a výstup

≈ 3,06 USD/spustenie
Vyskúšajte HunyuanVideo

0 / 2 000

Pokročilé nastavenia (1)
Výsledok
Tvoje video sa objaví tu.

Tento beh

približne 3,06 USD · 306 credits

Na začiatku sa rezervuje 9,18 USD (918 credits); fakturuje sa skutočný čas GPU.

Pre účty bez nákupu: behy nad 2 credits vyžadujú dobíjanie.

Nový tu?

10 bezplatných credits (0,10 USD) pri registrácii cez Google

Použiteľné 24 hodín po registrácii, až 5 behov za deň a maximálne 2 credits za beh. Ostatné spôsoby prihlásenia sa spúšťajú bez credits.

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.
  • Prompt

    A cat walks on the grass, realistic style

    Dĺžka: 0:05

    Settings

    width
    864
    height
    480
    fps
    24
  • Prompt

    Close-up, A little girl wearing a red hoodie in winter strikes a match. The sky is dark, there is a layer of snow on the ground, and it is still snowing lightly. The flame of the match flickers, illuminating the girl's face intermittently.

    Dĺžka: 0:05

    Settings

    width
    864
    height
    480
    fps
    24
  • Prompt

    a stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse. She wears sunglasses and red lipstick. She walks confidently and casually. The street is damp and reflective, creating a mirror effect of the colorful lights. Many pedestrians walk about.

    Dĺžka: 0:05

    Settings

    width
    864
    height
    480
    fps
    24

Príklady promptov

Príklady z katalógu Railwail. Neboli vygenerované živě na tejto stránke.

  • Underwater Scene

    Dĺžka: 0:08

    Camera gliding through a vibrant coral reef teeming with tropical fish, sunlight filtering through the crystal-clear water creating dancing light patterns on the ocean floor, documentary style
  • Fantasy Animation

    Dĺžka: 0:06

    A tiny glowing fairy emerging from an opening flower bud in an enchanted forest, sparkles trailing behind her wings as she takes flight, magical atmosphere with bioluminescent plants
03

O HunyuanVideo

StručneK 23. septembra 2026

HunyuanVideo je model od Tencent v kategórii Generovanie videí. Na Railwail stojí HunyuanVideo ≈ 3,06 USD za spustenie.

HunyuanVideo from Tencent is a large open-source text-to-video model built on a DiT architecture with a unified full-attention design. It is known for realistic physics, large-scale motion and good text alignment, and ships its own weights, making it a popular base for fine-tuning and LoRA training.

Pozadie

O Tencent

Založené 1998 · Shenzhen, China

Tencent Holdings is one of the largest technology and entertainment conglomerates in the world, founded in 1998 by Ma Huateng (Pony Ma) and four co-founders in Shenzhen. Tencent's AI Lab, founded in 2016, and the Hunyuan team (the company's foundation-model group) developed the Hunyuan family of text, image, 3D and video models. HunyuanVideo (released December 2024 with the 13B foundation model open-sourced) was the largest publicly released open-weight video diffusion model at the time, and rapidly became a popular base for community fine-tunes (LoRAs, control nets, audio-driven extensions). The model is hosted on Hugging Face and GitHub under a custom licence that allows research and limited commercial use.

Navštíviť Tencent

Architektúra

Diffusion Transformer with dual-stream design (separate text/video streams)

HunyuanVideo is a 13B-parameter Diffusion Transformer (DiT) operating on a 3D causal VAE latent. Its denoiser uses a dual-stream / single-stream design inspired by FLUX-1: dedicated text and video streams first process their modalities separately and then concatenate for joint self-attention. Text conditioning combines a CLIP-like vision-language encoder and a multilingual large-language-model text encoder (MLLM) for stronger prompt understanding, especially on long captions. The model is trained with Flow Matching and 3D Rotary Position Embeddings, and uses a progressive curriculum from images to short videos to long videos at 720p / 24 fps. The accompanying paper details a meticulously curated multi-billion-clip dataset with hierarchical filtering and dense bilingual captions. HunyuanVideo supports text-to-video natively and the open release includes a high-quality 5-second / 720p model; community follow-ups added image-to-video, audio-driven and longer-duration variants.

Parametre
13 billion

Schopnosti

  • 13B open-weight text-to-video model (one of the largest released openly)
  • Generates ~5-second clips at 720p / 24 fps natively
  • Bilingual Chinese/English prompt handling via MLLM text encoder
  • Dual-stream DiT architecture inspired by FLUX-1
  • Strong prompt adherence on long, dense captions
  • Active community ecosystem (image-to-video, LoRAs, audio-sync)
  • Runs on 60-80 GB GPU memory (FP16), 40 GB with optimisations
  • Permissive licence for non-commercial research and limited commercial use
  • Best for: open-source video pipelines, research, on-prem creative tooling.

Tréning a licencia

Multi-billion-clip curated video corpus with hierarchical aesthetic, motion and caption-quality filtering, plus dense bilingual captions produced by an in-house MLLM captioner.

Licencia: Tencent Hunyuan Community Licence: weights free for research and limited commercial use with attribution; restrictions apply above thresholds and for certain jurisdictions.

Bezpečnostné testy: Released with safety filtering during training and a recommended NSFW classifier for deployment; subject to Chinese CAC algorithmic-content rules on Tencent-hosted surfaces.

Známe obmedzenia

  • Native duration ~5 seconds
  • 720p only (extensions require upscalers)
  • High VRAM requirements vs smaller open models
  • No native audio
  • Licence has thresholds for very large commercial deployers
04

Ceny

Ceny v USD. Použitie sa účtuje z predplateného kreditu.
Typické spustenie (≈ 418 s na 4x H100)3,06 USD za spustenie
Čas GPU (4x H100)0,00732 USD za sekundu GPU
  • Fakturuje sa čas GPU, ktorý spustenie skutočne trvá. Pri spustení sa z vášho zostatku rezervuje 3× typická cena a následne sa vyúčtuje.
  • 1 kredit = 0,01 USD

Kalkulačka nákladov

Kalkulačka cien

s

Typicky podľa poskytovateľa: približne 418 s

Celkom

306,00 USD

30 600 kreditov

Na spustenie

3,06 USD · 306 kreditov

Účtuje sa skutočný čas GPU; toto je odhad.

05

API

Zavolajte HunyuanVideo s vaším API kľúčom Railwail. V požiadavke použite toto ID modelu:
curl https://railwail.com/api/v1/videos/generations \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "hunyuan-video",
    "prompt": "A slow drone shot over a misty pine forest at sunrise"
  }'

# Response: {"job_id": "...", "status": "queued", ...}
# Poll until status is completed, failed or cancelled:
curl https://railwail.com/api/v1/jobs/JOB_ID \
  -H "Authorization: Bearer $RAILWAIL_API_KEY"
Nastavte svoj kľúč ako RAILWAIL_API_KEYVytvoriť API kľúč

Videá sa spúšťajú asynchrónne: prvé volanie vracia job_id; dotazujte sa /api/v1/jobs/JOB_ID, kým sa stav nezmení na completed.

06

Špecifikácie

ID modelu
hunyuan-video
Vývojár
Tencent
Vstup
Text
Výstup
Video
Fakturácia
Podľa spotreby (tokeny alebo čas GPU)
Veľkosť modelu
13 billion
Licencia
Tencent Hunyuan Community Licence: weights free for research and limited commercial use with attribution; restrictions apply above thresholds and for certain jurisdictions.
Katalógová položka aktualizovaná
23. septembra 2026

Vstupné parametre

Vstupy a nastavenia zo vstupnej schémy modelu. Príklad v sekcii API ukazuje, ktoré z nich API akceptuje.

  • promptpovinné

    What video to generate

    Typ: Text
    Predvolené: –
    Povolené hodnoty: až 2 000 znakov
  • seed

    Optional seed for reproducibility

    Typ: Celé číslo
    Predvolené: –
    Povolené hodnoty: –

Značky

  • replicate
  • tencent
  • hunyuan
  • video
  • text-to-video
  • open-weights
07

Prípady použitia

Na čo sa používa

  • Open-source text-to-video pipelines
  • Research on large video DiTs
  • On-prem creative tools for studios
  • LoRA fine-tunes for branded styles
  • Image-to-video via community extensions
  • Audio-driven talking-head extensions
08

Často kladené otázky

Čo je HunyuanVideo?

HunyuanVideo je model od Tencent v kategórii Generovanie videí. Na Railwail ho môžete volať pomocou API kľúča cez Railwail API.

Koľko stojí HunyuanVideo na Railwail?

Na Railwail stojí HunyuanVideo ≈ 3,06 USD za spustenie. Platíte za to, čo každý požiadavok skutočne spotrebuje. Použitie sa platí z predplateného kreditu; 1 kredit sa rovná 0,01 USD.

Ktoré nastavenia podporuje HunyuanVideo?

Podľa svojej vstupnej schémy HunyuanVideo pozná tieto parametre: prompt (až 2 000 znakov) a seed.

Ako rýchly je HunyuanVideo?

Pre HunyuanVideo je na Railwail zatiaľ príliš málo meraných spustení na určenie doby spustenia. Závisí to od vstupu, nastavení a zaťaženia u poskytovateľa.

Je HunyuanVideo lepší ako Google Veo 3.1?

Závisí to od úlohy. HunyuanVideo (Tencent) a Google Veo 3.1 (Google DeepMind) sú oba modely v kategórii Generovanie videí. Stránka porovnania zobrazuje ich ceny a špecifikácie vedľa seba.

Porovnať HunyuanVideo a Google Veo 3.1

Ako používam HunyuanVideo cez API?

Vytvorte Railwail API kľúč a pošlite svoju požiadavku s ID modelu hunyuan-video. Príklady kódu pre curl, Python a JavaScript sú v časti API na tejto stránke.

09

Porovnateľné modely

Všetky v tejto kategórii

Použiť HunyuanVideo cez API

Jeden API kľúč pre všetky modely na Railwail. Použitie sa účtuje z predplateného kreditu, 1 kredit = 0,01 USD.