TurboWan2.1-T2V-1.3B-Diffusers
Released by IPostYellow in 2025, TurboWan2.1-T2V-1.3B-Diffusers is a 1 billion parameter video-generation model. TurboWan2.1-T2V-1.3B-Diffusers is an open-weights video model with roughly 1 billion parameters.
by IPostYellow · 1B parameters
Best for
Ways to use TurboWan2.1-T2V-1.3B-Diffusers in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your IPostYellow API key. osFoundry discovers TurboWan2.1-T2V-1.3B-Diffusers automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
TurboWan2.1-T2V-1.3B-Diffusers is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
What hardware can run TurboWan2.1-T2V-1.3B-Diffusers
TurboWan2.1-T2V-1.3B-Diffusers runs on a single 16GB consumer GPU (~1 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~3 GB).
TurboWan2.1-T2V-1.3B-Diffusers vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| TurboWan2.1-T2V-1.3B-Diffusers | IPostYellow | 1B | — | Free (local) | Yes |
| Wan2.1-T2V-1.3B-Diffusers | Wan-AI | 1B | — | Free (local) | Yes |
| Sora 2 | OpenAI | — | — | $ 0.10 /sec | API only |
| wan-1.3b-gguf | calcuis | 1B | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about TurboWan2.1-T2V-1.3B-Diffusers
Is TurboWan2.1-T2V-1.3B-Diffusers free to use?
TurboWan2.1-T2V-1.3B-Diffusers is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use TurboWan2.1-T2V-1.3B-Diffusers commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does TurboWan2.1-T2V-1.3B-Diffusers need?
Approximately 1 GB at Q4 quantisation, or 3 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run TurboWan2.1-T2V-1.3B-Diffusers locally?
Yes. TurboWan2.1-T2V-1.3B-Diffusers is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is TurboWan2.1-T2V-1.3B-Diffusers best at?
TurboWan2.1-T2V-1.3B-Diffusers is well-suited to text-to-video synthesis.
How do I use TurboWan2.1-T2V-1.3B-Diffusers in osFoundry?
Paste your IPostYellow API key in the key dialog (or deploy the open weights for self-hostable models), assign TurboWan2.1-T2V-1.3B-Diffusers to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by IPostYellow on December 27, 2025. Source: https://huggingface.co/IPostYellow/TurboWan2.1-T2V-1.3B-Diffusers