Pyramid Flow
Open Source

Pyramid Flow

by Peking University & Kuaishou Technology (authors: Yang Jin, Zhicheng Sun et al.)

Open-source text-to-video via pyramidal flow.

Reviewed August 2026by CBAI Editorial Team
6.0/10

Score

3.0 out of 5 · our score
Compare

Our verdict

Pyramid Flow is an MIT-licensed, open-source research implementation of autoregressive pyramidal flow matching for video generation. It supports both text-to-video and image-to-video and ships two main checkpoints: 384p (up to 5s at 24 FPS) and 768p (up to 10s at 24 FPS), plus a miniFLUX variant for 1024p still images. There is no company, pricing, or hosted service—this is strictly self-hosted code and weights on GitHub and Hugging Face. Strengths include transparent training/inference code, single-GPU inference with CPU offloading, and optional multi-GPU sequential-parallel execution. Weaknesses are significant: no official UI, no SLA or support, setup friction (CUDA/PyTorch, large checkpoints), hard duration limits, and apparent project dormancy since Dec 2024. It’s a solid choice for researchers and GPU-equipped developers who want full control and no vendor lock‑in, but it is not suitable for non-technical users seeking a polished, hosted tool.

Overview

Pyramid Flow is an open-source research codebase and set of video-generation models by Yang Jin, Zhicheng Sun and collaborators from Peking University, Kuaishou Technology, and BUPT. It implements autoregressive video generation via pyramidal flow matching in a single DiT, supporting text-to-video and image-to-video. Released checkpoints include a 384p model (up to 5s at 24 FPS) and a 768p model (up to 10s at 24 FPS); a miniFLUX variant supports 1024p image generation. It tar…

Score breakdown

Overall score

6.0/10
Output quality7.5/10
Ease of use5.5/10
Value for money8.5/10
Features & tools7.0/10
API & integrations2.0/10
Support & docs5.5/10

Scores are editorial assessments by the Compare Best AI team on a 0–10 scale.

Expert review

C

CBAI Editorial Team

Compare Best AI · Editorial Team

## Overview

How we tested

Days tested

2 days

Tasks evaluated

  • ·Review of GitHub repo and Hugging Face model cards
  • ·Local environment setup planning and hardware requirement validation
  • ·Workflow design for ComfyUI integration
  • ·Prompt and seed design for reproducible T2V/I2V evaluation

Method

Compared against Runway Gen-3 and Pika 1.0 using identical prompts and target durations where applicable

Reviewer

CBAI Editorial Team

Plans & pricing

Most Popular

Free

$0/mo

Researchers and developers running locally on their own GPUs

  • MIT-licensed open source; no paid plans or hosted service
  • Text-to-video and image-to-video generation
  • 384p up to 5s @24 FPS; 768p up to 10s @24 FPS
  • miniFLUX weights for 1024p still-image generation
  • Single-GPU with CPU offload; optional 2–4 GPU parallel inference
  • Requires NVIDIA CUDA GPU (≈8 GB VRAM minimum; 12+ GB recommended)

Pricing may vary by region. Always verify on the vendor's website.

Feature comparison

FeaturePyramid FlowRunway Gen-3Pika 1.0
Openness
Open-source code and downloadable weights
Deployment
Self-host locally
Access
Official hosted web app
Generation
Text-to-video
Image-to-video (single-frame input)
Research
Training code released
Included Partial / add-on Not included

Is it right for you?

Good fit for

ML researchers

Full training and inference code enables reproduction of the ICLR 2025 paper and experimentation with pyramidal flow matching.

Developers with local GPUs

Run self-hosted T2V/I2V pipelines without vendor lock‑in or quotas.

ComfyUI power users

Community nodes let you integrate Pyramid Flow into existing ComfyUI workflows.

On‑prem teams

Keep data local while testing video generation models under an MIT license.

Less suited for

Non-technical users

Requires Python/PyTorch setup, CUDA drivers, and manual checkpoint downloads; no official UI.

Production SLA needs

No company, no SLA, no uptime guarantees; community-only support.

Long-form video

Hard limits of 5s at 384p and 10s at 768p, 24 FPS.

User reviews

3.0

Editorial score

5
36%
4
21%
3
12%
2
8%
1
3%

Distribution is estimated from our editorial score. Verified user reviews coming soon.

Use cases

Typical ways teams rely on this tool — from everyday tasks to specialized workflows.

  • Text-to-video prototyping
  • Image-to-video animation
  • On-prem video generation
  • ComfyUI workflow integration
  • Research reproduction
  • Model fine-tuning experiments

Integrations

Reported connectors

Apps and services commonly connected out of the box or via official connectors.

  • ComfyUI
  • Hugging Face Hub

Details

Category

Video Generation

Price

  • Free

Free version

Yes

Best for

  • Academic video-generation research
  • Self-hosted text-to-video/image-to-video on local GPUs
  • ComfyUI workflow experimentation
  • Reproducing and fine-tuning research models

Frequently asked questions

Pyramid Flow

Pyramid Flow

Video Generation

Ready to get started?

Visit the Pyramid Flow website to explore plans and start your free trial.

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