HunyuanVideo

Generiranje videoovRazpoložljivo
od TencentID modela: 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 $/zagon
Vhod → Izhod
Besedilo → Video
Razvijalec
Tencent
Posodobljeno
23. september 2026
01

Igrišče

Preizkusi HunyuanVideo

Vnos in rezultat

≈ 3,06 $/zagon
Preizkusi HunyuanVideo

0 / 2000

Napredne nastavitve (1)
Rezultat
Tvoj video se pojavi tukaj.

Ta zagon

približno 3,06 $ · 306 kreditov

Na začetku se rezervira 9,18 $ (918 kreditov); obračunava se dejanski čas GPU.

Za račune brez nakupa: zagoni nad 2 kreditov potrebujejo polnjenje.

Novo tukaj?

10 brezplačnih kreditov (0,10 $) ob prijavi z Googlom

Uporabno 24 ur po prijavi, do 5 zaganom na dan in največ 2 kreditov na zagon. Druge metode prijave se začnejo brez kreditov.

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

    Dolžina: 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.

    Dolžina: 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.

    Dolžina: 0:05

    Settings

    width
    864
    height
    480
    fps
    24

Primeri pozivov

Primeri iz kataloga Railwail. Niso bili generirani v živo na tej strani.

  • Underwater Scene

    Dolžina: 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

    Dolžina: 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

PovzetekOd 23. september 2026

HunyuanVideo je model razvijalca Tencent iz kategorije Generiranje videoov. Na Railwail stane HunyuanVideo ≈ 3,06 $ na zagon.

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.

Ozadje

O Tencent

Ustanovljeno 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.

Obiščite Tencent

Arhitektura

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.

Parametri
13 billion

Zmožnosti

  • 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.

Usposabljanje in licenca

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.

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

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

Znane omejitve

  • 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

Cene

Cene v ameriških dolarjih. Uporaba se obračuna iz vnaprej plačanih kreditov.
Tipičen zagon (≈ 418 s na 4x H100)3,06 $ na zagon
Čas GPU (4x H100)0,00732 $ na sekundo GPU
  • Obračunan je čas GPU, ki ga zagon dejansko potrebuje. Ko se zagon začne, se od vašega stanja rezervira 3× tipična cena in se pozneje poravna.
  • 1 kredit = 0,01 $

Kalkulator stroškov

Kalkulator cen

s

Tipično po ponudniku: približno 418 s

Skupaj

306,00 $

30.600 kreditov

Na zagon

3,06 $ · 306 kreditov

Obračunava se dejanski čas GPU; to je ocena.

05

API

Pokličite HunyuanVideo s svojim Railwail API ključem. V zahtevku uporabite to ID modela:
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"
Nastavite ključ kot RAILWAIL_API_KEYUstvari API ključ

Videi se izvajajo asinkrono: prvi klic vrne job_id; poizvedujte /api/v1/jobs/JOB_ID, dokler status ni completed.

06

Specifikacije

ID modela
hunyuan-video
Razvijalec
Tencent
Vhod
Besedilo
Izhod
Video
Obračunavanje
Po porabi (žetoni ali čas GPU)
Velikost modela
13 billion
Licenca
Tencent Hunyuan Community Licence: weights free for research and limited commercial use with attribution; restrictions apply above thresholds and for certain jurisdictions.
Kataložni vnos posodobljen
23. september 2026

Vhodne parametre

Vhodi in nastavitve iz vhodne sheme modela. Primer v razdelku API prikazuje, katere od njih API sprejema.

  • promptObvezno

    What video to generate

    Tip: Besedilo
    Privzeto: –
    Dovoljene vrednosti: Do 2000 znakov
  • seed

    Optional seed for reproducibility

    Tip: Celo število
    Privzeto: –
    Dovoljene vrednosti: –

Oznake

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

Primeri uporabe

Kaj se uporablja za

  • 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

Pogosta vprašanja

Kaj je HunyuanVideo?

HunyuanVideo je model podjetja Tencent iz kategorije Generiranje videoov. Na Railwailu ga lahko pokličete z ključem API prek Railwailovega API-ja.

Koliko stane HunyuanVideo na Railwailu?

Na Railwail stane HunyuanVideo ≈ 3,06 $ na zagon. Zaračunano vam je tisto, kar vsaka zahteva dejansko porabi. Uporaba se plača s predplačanimi krediti; 1 kredit je enak 0,01 $.

Katere nastavitve podpira HunyuanVideo?

Glede na shemo vnosa HunyuanVideo pozna te parametre: prompt (Do 2000 znakov) in seed.

Kako hiter je HunyuanVideo?

Za HunyuanVideo je na Railwailu še premalo izmerjenih zagonov, da bi navedli čas izvajanja. Odvisno je od vnosa, nastavitev in obremenitve pri ponudniku.

Je HunyuanVideo boljši od Google Veo 3.1?

To je odvisno od naloge. HunyuanVideo (Tencent) in Google Veo 3.1 (Google DeepMind) sta oba modela iz kategorije Generiranje videoov. Stran za primerjavo prikazuje njune cene in specifikacije drug ob drugem.

Primerjaj HunyuanVideo in Google Veo 3.1

Kako uporabljam HunyuanVideo prek API-ja?

Ustvarite ključ Railwailovega API-ja in pošljite zahtevo z ID-jem modela hunyuan-video. Primeri kode za curl, Python in JavaScript so v razdelku API na tej strani.

09

Primerljivi modeli

Vsi v tej kategoriji

Uporabite HunyuanVideo prek API

En API ključ za vsak model na Railwail. Uporaba se obračuna iz vnaprej plačanih kreditov, 1 kredit = 0,01 $.