Pyramid Flow (miniFLUX / SD3)
An autoregressive video generation method based on pyramidal flow matching, trained entirely on open-source datasets and accepted to ICLR 2025. The larger checkpoint produces 10-second video at 768p and 24 fps; a 384p checkpoint produces 5 seconds.
- Up to
- 10 seconds
- Resolution
- 768p
- Weights
- Downloadable
- API
- No
- Commercial use
- Vendor states commercial use is permitted
It also generates 1024p stills.
MIT license - the most permissive license of any model in this dataset.
Specification
- What it takes in
- text, image
- What it makes
- video, image
- Maximum duration
- 10 seconds
- Maximum resolution
- 768p
- Aspect ratios
- not established
- Controls
- text prompt, reference image, resolution checkpoint selection (384p/768p), guidance scale, video guidance scale, CPU offload, sequential offload
- Weights
- Downloadable
- API
- No
- Pricing
- Free open weights (MIT), self-hosting only with no first-party API. Notably light: under 8GB GPU memory with CPU offloading, or under 12GB with standard offloading, per the repository. Training used A100s.
- Released or updated
- 2024-11-13
Supported aspect ratios is not established here. That means no page we could retrieve stated it, not that the model lacks one.
Strengths
- MIT license, cleanest legal position in open video
- Trained only on open datasets, so provenance is auditable
- 10 seconds at 768p/24fps is longer than most 2024-era peers
- Runs under 8GB VRAM with offloading
- Peer-reviewed (ICLR 2025)
Weaknesses
- Visual quality well behind 2025-2026 models
- Parameter count not stated in the repository
- Small ecosystem; few LoRAs or downstream tooling
- Little apparent active development since late 2024
Best for
- Legally conservative deployments, academic work, and anyone who needs an unencumbered MIT-licensed video model.
What to understand before using it
Explainers naming the mechanisms this model's own documentation mentions.
See it from the vendor
Shotcraft hosts no sample output. Judging a model means watching its own showreel with your own eyes, and a clip re-hosted here would be a clip we chose.
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