Skip to content
DATASHEET // PYRAMID-FLOW

Pyramid Flow

Memory-efficient T2V via pyramidal flow matching.

OPEN SOURCE16–24 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-Free
Visit Pyramid FlowUPDATED 2026-02-20 · DIRECT LINK
github.com/jy0205/Pyramid-Flow
Pyramid Flow — preview image

HARDWARE REQUIREMENTS //

Runs locally · High-end GPU (16–24 GB)

16–24 GB VRAM
Min VRAM
16 GB
Rec. VRAM
24 GB
Min RAM
32 GB
Rec. RAM
64 GB
Disk
30 GB
GPU class
High-end GPU
12.1+No Apple SiliconGPU RequiredQuant: BF16, FP8

384p variant runs in 16 GB; 768p needs 24 GB.

[ EDITORIAL PICK ]

Why we recommend Pyramid Flow

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if Pyramid Flow the company changes direction.

  • 2 quant formats

    Supports BF16, FP8 — you can dial VRAM use up or down to match your card.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

VRAM guide →

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Standard

    A standard local install — download, install dependencies, point at your GPU.

  • Hardware comfort
    Enthusiast

    Needs 16 GB minimum — RTX 3090 / 4090 territory.

  • Ecosystem
    Open source

    Source is public — auditable and forkable, no vendor lock.

  • Verification
    Ageing

    146 days since the last catalogue refresh — flagged for re-verification.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for Pyramid Flow

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other heavy video generation tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of Pyramid Flow.

LIGHTEST HARDWARE //

Diffusers

Hugging Face's go-to library for every diffusion model.

OPEN SOURCE4–12 GB VRAM
BEST FREE OPTION //

ComfyUI

The nodal workflow engine for serious diffusion.

OPEN SOURCE6–16 GB VRAM
TOP QUALITY //

NVIDIA Cosmos

World-foundation models for physical AI.

OPEN SOURCE24–80 GB VRAM

What is Pyramid Flow?

Pyramid Flow uses a multi-resolution pyramid + flow matching to generate 10-second 768p clips on a single 24 GB GPU — territory that previously required datacenter hardware. Quality is below Mochi / Wan but the VRAM efficiency is genuinely novel. MIT licensed.

Pros & cons

✓ PROS

  • 10-second 768p clips on a single 24 GB card
  • Pyramidal training is a genuinely interesting architecture
  • MIT — most permissive video model license available

– CONS

  • Motion / detail quality below Mochi & Wan
  • Smaller community than Hunyuan / Wan workflows

What's actually free?

MIT.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

Mochi 1

Genmo's 10-B open-weight T2V — the first 'genuinely fluid' OSS video model.

OPEN SOURCE24–60 GB VRAM
VRAM fit24–60 GB

CogVideoX 5B

Open-source text-to-video diffusion from THUDM.

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB

Wan 2.2

Open-weight video diffusion from Alibaba.

OPEN SOURCE12–48 GB VRAM
VRAM fit12–48 GB