PixVerse v5.6
Physics-accurate video generation up to 1080p
PixVerse v5.6 is video generation AI model from Replicate, priced at €0.000 per 1M input tokens with a unknown context window.
Image References
Examples
See what PixVerse v5.6 can generate
Physics
"Glass of water tipping over in slow motion"
Pricing
API Integration
Use our OpenAI-compatible API to integrate PixVerse v5.6 into your application.
npm install railwailimport railwail from "railwail";
const rw = railwail("YOUR_API_KEY");
// Simple — just pass a string
const reply = await rw.run("pixverse-v5", "Hello! What can you do?");
console.log(reply);
// With message history
const reply2 = await rw.run("pixverse-v5", [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);
// Full response with usage info
const res = await rw.chat("pixverse-v5", [
{ role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);Deep dive — AISphere (PixVerse)'s PixVerse v5.6
PixVerse is the generative-video product of AISphere, a startup founded in 2023 by former senior researchers from ByteDance and Tencent. Headquartered between Singapore and Beijing, AISphere targets international short-form-video creators with a consumer-friendly web and mobile experience. PixVerse v1 shipped in early 2024, followed by v2, v3, v4 and v5 (mid-2025) and v5.6 (late 2025). The product emphasises stylised animation (anime, 3D pixar-style, paper craft, etc.), short-clip generation at 720p-1080p and integrated lip-sync and templates. AISphere is backed by Hillhouse, GGV Capital and IDG Capital, with a reported valuation of around $300M in 2025.
Visit AISphere (PixVerse) →PixVerse v5.6 is a closed latent-video-diffusion model with a transformer denoiser operating on a learned spatio-temporal latent space. The model supports text-to-video, image-to-video, character-reference mode and a library of pre-trained style adapters (anime, 3D animation, paper craft, claymation, comic, neon, etc.) that operate as fine-tuned LoRAs or auxiliary cross-attention heads on top of the base DiT. Conditioning uses a bilingual Chinese/English text encoder and image embeddings for first-frame conditioning. v5.6 generates 5-8 second clips at 720p-1080p / 24 fps with a lip-sync module that aligns mouth motion to a user-provided audio track. PixVerse has not released a formal technical paper; behaviour and feature surface suggest a multi-billion-parameter DiT trained on a curated multilingual video corpus with extensive synthetic stylised data.
- Parameters
- Undisclosed
- Context
- unknown
- Text-to-video, image-to-video and character-reference modes
- Rich library of pre-trained style adapters (anime, 3D, claymation, neon, ...)
- Lip-sync module aligned to user audio
- 5-8 second clips at 720p-1080p
- Templates for popular meme and effect formats
- Web and mobile apps with one-click sharing to social platforms
- Bilingual Chinese/English prompts
- Active creator community and library of presets
- Best for: stylised social-media video, anime shorts, meme content, lip-sync.
Closed corpus including licensed footage, web video and large amounts of synthetic stylised data for style adapters; exact size undisclosed.
License: Proprietary commercial licence via PixVerse / AISphere terms; commercial use on paid plans.
Known limitations
- 5-8 second clip limit
- No native non-lipsync audio generation
- Stylised model can struggle on photorealistic prompts
- Closed model without technical disclosure
- Quality below frontier (Veo 3, Sora 2) on realistic scenes
Research papers
Frequently asked questions
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