---
title: "SkyReels-V2"
description: "SkyReels-V2 from Skywork AI (Kunlun): text-to-video and image-to-video; Runner parity pending."
modelId: "skyreels-v2"
pageSource: authored
---

SkyReels-V2 is Skywork AI's open film-generation model family built on the Wan architecture, recorded here for text-to-video and image-to-video. WorldFoundry serves the 1.3B route assembled entirely from the shared native Wan graph, conditioner, VAE, scheduler, initializer, loader, and runner — the vendored CLI/pipeline is deliberately not an inference backend.

<ModelPaperFigures modelId="skyreels-v2" locale="en" />

The recorded paper is [arXiv 2504.13074](https://arxiv.org/abs/2504.13074).

Code: [SkyworkAI/SkyReels-V2](https://github.com/SkyworkAI/SkyReels-V2).

<ModelCommandBuilder modelId="skyreels-v2" locale="en" />

## What it is for

Pick `skyreels-v2` when one recipe covers text-to-video and image-to-video: a prompt in, an optional still, a clip out. Start here instead of wiring two upstream demos.

The manifest records the upstream graph as an FPS-conditioned Wan capability: SkyReels-V2's diffusion-forcing design conditions on frame rate to enable long-form generation. In WorldFoundry it is a native Wan-graph assembly with prompt/image inputs and a generated_video artifact. It is published by Skywork AI (Kunlun).

Catalog tasks include text-to-video and image-to-video. Documented modalities: text and image in, video out.

Recorded evaluation entry points include [VBench](/docs/evaluation/benchmark-hub/vbench) (Standard T2V quality suite).

Not [SkyReels V3](/docs/guides/supported-models/skyreels-v3). Score on [VBench](/docs/evaluation/benchmark-hub/vbench).

## Runtime contract

Optional `prompt`, `negative_prompt`, `frames`, `fps`, and `height`; artifacts `skyreels-v2.mp4`.

CLI task profiles: `interactive-video`. WorldFoundry binds `SkyReelsV2Pipeline`.

Family status: **Runner parity pending**.

Integration is complete for the 1.3B route; no runner-parity record exists yet. Larger upstream checkpoints (5B/14B) are not the recorded route — stick to 1.3B for the supported path.

The upstream graph is represented as an FPS-conditioned Wan capability; the vendored CLI/pipeline is not an inference backend.

## Running in WorldFoundry

The catalog launch is `worldfoundry-eval run skyreels-v2 --pipeline.task-profile interactive-video`. The command builder above switches `--pipeline.task-profile` among recorded tasks and still emits `worldfoundry-eval run`.

It runs in the unified environment `worldfoundry-unified-cu128` (Python 3.11, CUDA 12.8).

Recorded weight repositories include `Skywork/SkyReels-V2-DF-1.3B-540P`, `Skywork/SkyReels-V2-T2V-14B-720P`, and `Skywork/SkyReels-V2-I2V-1.3B-540P` among others. Prepare the environment and check local assets with `bash scripts/inference/prepare_model_infer.sh skyreels-v2`. Add `--download` to fetch missing public checkpoints.

Recorded licenses include other; status: **Runner parity pending**.

<ModelRelatedRecipes modelId="skyreels-v2" locale="en" />