FramePack
A next-frame-prediction network structure that compresses input context to a constant length, so generation cost does not grow with video length.
- Up to
- 60 seconds
- Weights
- Downloadable
- API
- No
- Commercial use
- Permitted subject to conditions
This lets 13B-class video models produce roughly one-minute videos at 30 fps (about 1,800 frames) on as little as 6GB of GPU memory. It is an inference architecture wrapped around existing base weights rather than a from-scratch foundation model.
The FramePack repository code is Apache-2.0. Important caveat: FramePack is an architecture and sampling wrapper, and the distributed video weights are derived from a HunyuanVideo-class 13B base.
- Permission required above a user threshold. Derived weights therefore carry the base model's terms - for HunyuanVideo that is the Tencent Hunyuan Community License with its EU/UK/South Korea exclusion and 100M MAU threshold - not Apache-2.0. The repository README does not spell this out, and this pass did not open the license file on the associated weight repositories, so verify the specific checkpoint you download
Specification
- What it takes in
- image, text
- What it makes
- video
- Maximum duration
- 60 seconds
- Maximum resolution
- not established
- Aspect ratios
- not established
- Controls
- reference image, text prompt, target video length, TeaCache toggle, GPU memory preservation slider, anti-drifting sampling, F1 forward-only and P1 variants
- Weights
- Downloadable
- API
- No
- Pricing
- Free, self-hosting only, no first-party API. The headline claim is the point: 'Minimal required GPU memory is 6GB' for generating one-minute videos with 13B models, and 'Laptop GPUs are okay.' Throughput is the tradeoff - roughly 1.5-2.5 seconds per frame on high-end GPUs and 4-8x slower on laptop GPUs.
- Released or updated
- 2025-06
Maximum resolution and supported aspect ratios are not established here. That means no page we could retrieve stated them, not that the model lacks them.
Strengths
- 6GB VRAM for minute-long video is unmatched
- Constant-cost generation regardless of length
- Apache-2.0 code with an approachable one-click installer
- Anti-drifting sampling keeps long clips coherent
- Works on laptop GPUs
Weaknesses
- Licensing of the actual weights is ambiguous and likely inherits Tencent's restrictions rather than Apache-2.0
- Very slow per frame; a one-minute clip is an overnight job on modest hardware
- Resolution not documented in the README
- Quality drifts over long durations despite mitigations
- Not a foundation model, so it inherits base-model limits
Best for
- Hobbyists and small teams generating long image-to-video clips on consumer or laptop GPUs, after checking the base-weight license.
Where the sources disagree
Recorded rather than resolved. Picking the tidier number would hide the fact that the vendor's own pages do not agree.
- The repository advertises Apache-2.0 and refers to '13B models' without naming the base model or its license. Community understanding is that the shipped weights are HunyuanVideo-derived, which would make the weights subject to the Tencent Hunyuan Community License. commercialUseAllowed set to null because the effective terms for the weights could not be confirmed.
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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