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LatestRaphaelLiuV1
RaphaelLiuImage → Video

Pusa V1: A New Open Model for Image-to-Video Animation

Based on the Wan2.1 architecture, this new 14B parameter model offers fine-grained control over video generation from still images and text.

Jul 14, 2025
UpdateApache 2.0
Pusa V1

A new open-source video generation model named Pusa V1 has been released by developer Raphael Liu. The 14-billion-parameter model is designed primarily for image-to-video tasks, allowing creators to animate a static image using a text prompt, but it also supports direct text-to-video generation.

Pusa V1 builds upon the foundation of another open model, Wan2.1, which itself is a fine-tuned version of the popular AnimateDiff framework. This lineage gives Pusa a strong focus on producing consistent and controllable character animations, a common goal for developers working in this space. The full model weights are available on Hugging Face under a permissive Apache 2.0 license.

Fine-grained video control

What sets Pusa V1 apart is its collection of tools for directing the final video output with more precision than a single prompt allows. These features give artists and developers a higher degree of control over the generated sequence.

Key capabilities include:

  • Image-to-Video: Animate a source image with a text prompt.
  • Start & End Frame Control: Define the first and last frames of a video to guide the animation.
  • Video Extension: Seamlessly extend the duration of an existing video clip.

The model's open availability and focus on controllable animation tools make it a notable new entry for developers and artists experimenting with generative video, particularly for storytelling and character-driven content.

Sources

  • RaphaelLiu/PusaV1

    Hugging Face

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OlderT-Tech Releases T-one for Russian Speech RecognitionT-Tech · Speech → Text · last yearNewerMing-Lite-Omni 1.5 Brings Any-to-Any Modality to Open SourceinclusionAI · Any-to-Any · last year

Get the model

Hugging Face

Specs

Parameters14B
LicenseAPACHE-2.0
Likes201

Can you run it?

Runs on a laptop — about 15 GB at FP8.

  • BF16 (as published)

    32 GB GPU (RTX 5090) · 48 GB Mac

    29 GB
  • FP8

    16 GB GPU (RTX 4080 / 5070 Ti) · 24 GB Mac

    15 GB
Your machine
  • Precision not published; assuming 16-bit (BF16) weights.
  • Parameter count is an editorial estimate — no weights metadata on Hugging Face.
  • Covers the published checkpoint; text encoders and VAE loaded alongside may add a few GB (many runtimes offload them to CPU).

Estimated from the parameter count. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Image → VideoText → Video

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