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.
Na početku se rezervira 9,18 US$ (918 kredita); naplata se vrši prema stvarnom GPU vremenu.
Za račune bez prethodne kupnje: pokusi iznad 2 kredita trebaju dopunjavanje.
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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
Trajanje: 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.
Trajanje: 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.
Trajanje: 0:05
Settings
width
864
height
480
fps
24
Primjer promptova
Primjeri iz Railwail kataloga. Nisu generirani uživo na ovoj stranici.
Underwater Scene
Trajanje: 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
Trajanje: 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
UkratkoStanje: 23. septembar 2026.
HunyuanVideo je model od Tencent iz kategorije Generiranje videa. Na Railwailu, HunyuanVideo košta ≈ 3,06 US$ po pokretanju.
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.
Pozadina
O Tencent
Osnovano 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.
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
Mogućnosti
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.
Obuka i 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.
Testiranje sigurnosti: Released with safety filtering during training and a recommended NSFW classifier for deployment; subject to Chinese CAC algorithmic-content rules on Tencent-hosted surfaces.
Poznata ograničenja
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
Cijene u USD-u. Korištenje se naplaćuje iz unaprijed plaćenih kredita.
Tipično pokretanje (≈ 418 s na 4x H100)
3,06 US$ po pokretanju
GPU vrijeme (4x H100)
0,00732 US$ po GPU sekundi
Naplaćuje se prema GPU vremenu koje pokretanje zapravo traje. Kada se pokretanje počne, 3× tipična cijena se rezervira iz vašeg stanja i naknadno se namiruje.
1 kredit = 0,01 US$
Kalkulator troškova
Kalkulator cijena
s
Tipično prema pružatelju: oko 418 s
Ukupno
306,00 US$
30.600 kredita
Po pokretanju
3,06 US$ · 306 kredita
Naplaćuje se stvarno GPU vrijeme; ovo je procjena.
05
API
Pozovi HunyuanVideo sa svojim Railwail API ključem. Koristi ovaj ID modela u zahtjevu:
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"
import os
import time
import requests
API = "https://railwail.com/api/v1"
headers = {"Authorization": f"Bearer {os.environ['RAILWAIL_API_KEY']}"}
job = requests.post(
f"{API}/videos/generations",
headers=headers,
json={
"model": "hunyuan-video",
"prompt": "A slow drone shot over a misty pine forest at sunrise",
},
).json()
while True:
status = requests.get(f"{API}/jobs/{job['job_id']}", headers=headers).json()
if status["status"] in ("completed", "failed", "cancelled"):
break
time.sleep(5)
print(status["status"], status.get("output_url"))
const API = "https://railwail.com/api/v1";
const headers = {
Authorization: `Bearer ${process.env.RAILWAIL_API_KEY}`,
"Content-Type": "application/json",
};
const job = await fetch(`${API}/videos/generations`, {
method: "POST",
headers,
body: JSON.stringify({
model: "hunyuan-video",
prompt: "A slow drone shot over a misty pine forest at sunrise"
}),
}).then((r) => r.json());
let status;
do {
await new Promise((r) => setTimeout(r, 5000));
status = await fetch(`${API}/jobs/${job.job_id}`, { headers }).then((r) => r.json());
} while (!["completed", "failed", "cancelled"].includes(status.status));
console.log(status.status, status.output_url);
Tencent Hunyuan Community Licence: weights free for research and limited commercial use with attribution; restrictions apply above thresholds and for certain jurisdictions.
Katalog ažuriran
23. septembar 2026.
Parametri ulaza
Ulazi i postavke iz sheme ulaza modela. Primjer u odjeljku API pokazuje koje od njih API prihvaća.
HunyuanVideo je model od Tencent iz kategorije Generiranje videa. Na Railwailu ga možete pozvati s API ključem kroz Railwail API.
Koliko stoji HunyuanVideo na Railwailu?
Na Railwailu, HunyuanVideo košta ≈ 3,06 US$ po pokretanju. Naplaćuje se ono što svaki zahtjev zapravo koristi. Korištenje se plaća iz unaprijed kupljenih kredita; 1 kredit jednaka je 0,01 US$.
Koje postavke podržava HunyuanVideo?
Prema svojoj shemi unosa, HunyuanVideo poznaje ove parametre: prompt (do 2.000 znakova) i seed.
Koliko je brz HunyuanVideo?
Za HunyuanVideo na Railwailu još nema dovoljno izmjerenih pokretanja da bi se navedlo vrijeme izvršavanja. Ovisi o unošenju, postavkama i opterećenju kod pružatelja.
Je li HunyuanVideo bolji od Google Veo 3.1?
To ovisi o zadatku. HunyuanVideo (Tencent) i Google Veo 3.1 (Google DeepMind) su oba modela iz kategorije Generiranje videa. Stranica za usporedbu prikazuje njihove cijene i specifikacije usporedno.
Kreiraj Railwail API ključ i pošalji svoj zahtjev s ID-om modela hunyuan-video. Primjeri koda za curl, Python i JavaScript nalaze se u odjeljku API na ovoj stranici.
