---
title: "VideoCrafter1 I2V"
description: "VideoCrafter1 I2V from Tencent AI Lab: image-to-video and video-generation; Runner parity pending."
modelId: "videocrafter1-i2v"
pageSource: authored
---

VideoCrafter1 I2V is the image-to-video member of Tencent AI Lab's VideoCrafter1 release: it animates a still image while preserving its content, style, and structure. The in-tree infer-only runtime wraps the official path with local checkpoint, fps, frame count, and seed controls.

<ModelPaperFigures modelId="videocrafter1-i2v" locale="en" />

The recorded paper is [arXiv 2401.09047](https://arxiv.org/abs/2401.09047).

Project page: [ailab-cvc.github.io/videocrafter2](https://ailab-cvc.github.io/videocrafter2/). Code: [VideoCrafter/VideoCrafter](https://github.com/VideoCrafter/VideoCrafter).

<ModelCommandBuilder modelId="videocrafter1-i2v" locale="en" />

## What it is for

`videocrafter1-i2v` is the recorded text/image-to-video line. Use it when you want both prompt and still conditioning on the same catalog card.

A U-Net latent video diffusion model conditioned on the input image embedding (per the upstream release). Checkpoint provenance lives on the family-level videocrafter entry; training and download scripts are intentionally not packaged.

Catalog tasks include image-to-video and video-generation. Catalog aliases include `videocrafter1_i2v`. Documented modalities: image in, video out.

Recorded evaluation entry points include [EvalCrafter](/docs/evaluation/benchmark-hub/evalcrafter) (Companion benchmark of the VideoCrafter effort).

Not [VideoCrafter](/docs/guides/supported-models/videocrafter) and [VideoCrafter1 T2V](/docs/guides/supported-models/videocrafter1-t2v). Score on [EvalCrafter](/docs/evaluation/benchmark-hub/evalcrafter).

## Runtime contract

Optional `prompt`, `input_path`, `frames`, `fps`, and `height`; artifacts `generated_video` and `videocrafter1-i2v.mp4`.

CLI task profiles: `interactive-video`. WorldFoundry binds `VideoCrafter1I2VPipeline`.

Family status: **Runner parity pending**.

Runner parity is pending. Expect 2023-era quality: short clips, modest motion. For higher fidelity image animation use DynamiCrafter or the DiT-based I2V entries.

Checkpoint provenance is tracked on the top-level videocrafter catalog entry to avoid duplicate HF repo aliases.

## Running in WorldFoundry

The catalog launch is `worldfoundry-eval run videocrafter1-i2v --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 `VideoCrafter/Image2Video-512` and `laion/CLIP-ViT-H-14-laion2B-s32B-b79K`. Prepare the environment and check local assets with `bash scripts/inference/prepare_model_infer.sh videocrafter1-i2v`. Add `--download` to fetch missing public checkpoints.

Status: **Runner parity pending**.

<ModelRelatedRecipes modelId="videocrafter1-i2v" locale="en" />