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Published video-model weights, licences and hardware notes

What the repositories say you need to run them

Eleven of the 15 families here state a GPU memory figure and four state none. The figures run from 4GB in FP16 on the smallest CogVideoX model to 80GB for the heavier Wan commands, and two repositories name a card instead of a number. As of 2026-09-22.

Which releases state a hardware figure at allFilled where the repository states a requirement in that column, hollow where it states none. Some name a card, some name a number -- the wording is quoted in the rows below and never derived from parameter counts. Recorded 2026-09-22.Which releases state a hardware figure at allStated requirementAs writtenCogVideoX 2BCogVideoX 2B — Stated requirement: From 4GB in FP16CogVideoX 2B — As written: From 5GB on the 5B, from 10GB on CogVideoX1.5-5BFramePack 13BFramePack 13B — Stated requirement: 6GB minimumFramePack 13B — As written: For a 1-minute video at 30fps, 1800 framesAllegroAllegro — Stated requirement: 9.3G BF16 with cpu_offloadAllegro — As written: 27.5G with the offload call left outMAGI-1 4.5BMAGI-1 4.5B — Stated requirement: At least 12GB on a distilled fp8 buildMAGI-1 4.5B — As written: At least 24GB for the 4.5B model itselfSkyReels-V2 1.3BSkyReels-V2 1.3B — Stated requirement: About 14.7GB peak at 540PSkyReels-V2 1.3B — As written: Around 51.2GB for the same 540P on the 14BCosmos Predict 2.5Cosmos Predict 2.5 — Stated requirement: 32.54 GB of GPU VRAMCosmos Predict 2.5 — As written: Ampere, Hopper and Blackwell named as supportedOpen-Sora 11BOpen-Sora 11B — Stated requirement: 44.3GB at 768px across four or more GPUsOpen-Sora 11B — As written: 60.3GB at 768px on a single H100 or H800HunyuanVideoHunyuanVideo — Stated requirement: 45GB at 544px960pxHunyuanVideo — As written: 60GB peak at 720px1280px with 129 framesMochi 1Mochi 1 — Stated requirement: About 60GB on a single GPUMochi 1 — As written: At least one H100 recommendedStep-Video-T2VStep-Video-T2V — Stated requirement: 72.48 GB peak at 544px992px136fStep-Video-T2V — As written: 78.55 GB at 768px768px204fWan 2.2, other commandsWan 2.2, other commands — Stated requirement: At least 80GB of VRAMWan 2.2, other commands — As written: Stated in the same repositoryWan 2.2 TI2V-5BWan 2.2 TI2V-5B — Stated requirement: Consumer card named: a 4090Wan 2.2 TI2V-5B — As written: 5-second 720P clip in under 9 minutes on a single consumer GPUStable Video DiffusionStable Video Diffusion — Stated requirement: A card named, no memory floorStable Video Diffusion — As written: About 180s on an A100 80GB cardLongCat-VideoLongCat-Video — Stated requirement: No figure statedLongCat-Video — As written: No card named eitherLTX-Video 13BLTX-Video 13B — Stated requirement: No minimum statedLTX-Video 13B — As written: Distilled and fp8 variants published for lower VRAMPyramid FlowPyramid Flow — Stated requirement: No figure statedPyramid Flow — As written: Offloading discussed without gigabytes
Fig. 1 Filled where the repository states a requirement in that column, hollow where it states none. Some name a card, some name a number -- the wording is quoted in the rows below and never derived from parameter counts. Recorded 2026-09-22.
Hardware requirements as the repositories state them. Recorded 2026-09-22.
ReleaseStated requirementAs written
CogVideoX 2BFrom 4GB in FP16From 5GB on the 5B, from 10GB on CogVideoX1.5-5B
FramePack 13B6GB minimumFor a 1-minute video at 30fps, 1800 frames
Allegro9.3G BF16 with cpu_offload27.5G with the offload call left out
MAGI-1 4.5BAt least 12GB on a distilled fp8 buildAt least 24GB for the 4.5B model itself
SkyReels-V2 1.3BAbout 14.7GB peak at 540PAround 51.2GB for the same 540P on the 14B
Cosmos Predict 2.532.54 GB of GPU VRAMAmpere, Hopper and Blackwell named as supported
Open-Sora 11B44.3GB at 768px across four or more GPUs60.3GB at 768px on a single H100 or H800
HunyuanVideo45GB at 544px960px60GB peak at 720px1280px with 129 frames
Mochi 1About 60GB on a single GPUAt least one H100 recommended
Step-Video-T2V72.48 GB peak at 544px992px136f78.55 GB at 768px768px204f
Wan 2.2, other commandsAt least 80GB of VRAMStated in the same repository
Wan 2.2 TI2V-5BConsumer card named: a 40905-second 720P clip in under 9 minutes on a single consumer GPU
Stable Video DiffusionA card named, no memory floorAbout 180s on an A100 80GB card
LongCat-VideoNo figure statedNo card named either
LTX-Video 13BNo minimum statedDistilled and fp8 variants published for lower VRAM
Pyramid FlowNo figure statedOffloading discussed without gigabytes

Inclusion rule. Statements taken from the model repositories themselves. A repository that gives no figure is recorded as giving none rather than having one estimated from the parameter count. Order. By the lowest memory figure the repository states, smallest first; releases naming a card without a figure next, and releases stating neither last.

1Eleven figures, and the spread is a factor of twenty

From 4GB in FP16 on the smallest CogVideoX model to 80GB for the heavier Wan commands, by way of FramePack at 6GB, Allegro at 9.3G, a distilled MAGI-1 build at 12GB, SkyReels-V2 at about 14.7GB, Cosmos Predict 2.5 at 32.54 GB, Open-Sora at 44.3GB across four or more cards, HunyuanVideo at 45GB, Mochi 1 near 60GB and Step-Video-T2V at 72.48 GB. Every one of those is a vendor's own figure for a configuration the vendor chose to publish.

Read as a ladder the list says the obvious thing, which is that open weights have no single hardware answer. Read as a set of statements it says something less comfortable: the figures are not comparable with each other. A number for one resolution and frame count, at one precision, with offloading on or off, does not sit on the same axis as a number published for a different combination, and this register does not pretend otherwise by ranking them.

2Two numbers in one repository, and both are true

The gap between a 4090 and 80GB of VRAM in the Wan2.2 repository is the difference between a desktop and a rented server, so a reader who takes away one number has taken away the wrong one half the time. They describe different commands: the small text-to-video and image-to-video release is the one paired with the consumer card, and the heavier commands in the same repository carry the larger floor.

This register records both rather than resolving them, because resolving them would mean deciding which command a reader intends to run. What the two figures together do establish is that open weights do not have a single hardware answer, and that a claim of consumer-grade hardware attaches to a specific release rather than to a family.

3Nine minutes is a throughput figure, not a speed test

Under nine minutes for a five-second 720P clip is the timing statement in the Wan2.2 repository. Read as a ratio it is roughly a hundred seconds of compute for one second of output, which is the number that matters when the comparison is against a per-second price rather than against another card.

It is the vendor's own figure on the vendor's own chosen command, so it is the friendly case rather than an average. This site does not run the command, and a reader planning capacity should treat the figure as the shape of the answer rather than as their answer.

4Publishing smaller variants instead of a floor

The LTX-Video repository takes the opposite approach: no stated minimum, and distilled and fp8 builds published specifically to run in less memory and finish faster. That is a statement about intent rather than a specification, and it leaves the reader to find their own floor by trying.

Neither approach is better and they fail differently. A stated figure can be wrong for your command; an unstated one cannot be wrong, and cannot be planned against either.

5What the hosted rate buys instead

The alternative to hardware is a published per-second rate, and two are recorded in this register: Wan 3.0 seconds sold from about $0.06 at 480P, and LTX-2.5 seconds from $0.09. Against roughly a hundred seconds of compute per second of output, the comparison a team is actually making is a rate against a card plus the hours to keep it busy.

The versions on each side are not the same, which is the finding this whole register keeps returning to: the weights that exist are an earlier generation than the seconds that are sold. A cost comparison that ignores that is comparing a price with a different product.

6Sources

Hardware statements are quoted from each family's own repository or model card, and each one is listed below with its source and the date it was read. The hosted rates are from ltx.io and scenemixer.com, and both are recorded with their versions on the hosted pages. What counts as a published statement is on the method page.

  • Hardware
    The repository states TI2V-5B runs on consumer-grade graphics cards such as a 4090, generating a 5-second 720P video in under 9 minutes on a single consumer GPUvendor's own figureWan-Video, Wan2.2 repository / recorded 2026-09-12
  • Hardware
    Other commands in the same repository state a requirement of at least 80GB of VRAMthe larger modelsWan-Video, Wan2.2 repository / recorded 2026-09-12
  • Published models
    A 13B model, with distilled and fp8 variants published for lower VRAM and faster inferenceseveral variantsLightricks, LTX-Video repository / recorded 2026-09-12
  • Hardware
    From 4GB in FP16 for the 2B model, from 5GB in BF16 for the 5B, and from 10GB for CogVideoX1.5-5Bthe lowest figures the repository statesTHUDM, CogVideo repository / recorded 2026-09-12
  • Hardware
    To generate a 1-minute video at 30fps, 1800 frames, using the 13B model, the minimal required GPU memory is 6GBa floor stated together with the output it buyslllyasviel, FramePack repository / recorded 2026-09-22
  • Hardware
    9.3G BF16 with cpu_offload, against 27.5G if CPU offload is not enabledsingle GPU memory usage on the same runrhymes-ai/Allegro on Hugging Face / recorded 2026-09-22
  • Hardware
    For 4.5B models, any machine with at least 24GB of GPU memory is sufficient, and a distilled fp8 configuration works on GPUs with at least 12GBa floor for the model and a lower one for a buildSandAI-org, MAGI-1 repository / recorded 2026-09-22
  • Hardware
    About 14.7GB peak VRAM for a 540P video on the 1.3B model, and around 51.2GB on the 14Bthe same output size on two model sizesSkyworkAI, SkyReels-V2 repository / recorded 2026-09-22
  • Hardware
    This model requires 32.54 GB of GPU VRAM, on Ampere, Hopper or Blackwell hardwarea figure and the supported architecturesnvidia/Cosmos-Predict2.5-2B on Hugging Face / recorded 2026-09-22
  • Hardware
    60.3GB peak GPU memory at 768px on one GPU, and 44.3GB across four or moremeasured on H100 or H800 cardshpcaitech, Open-Sora repository / recorded 2026-09-22
  • Hardware
    78.55 GB peak GPU memory at 768px768px204f, 77.64 GB at 544px992px204f and 72.48 GB at 544px992px136fstated per configuration at batch size onestepfun-ai, Step-Video-T2V repository / recorded 2026-09-22
  • Hardware
    SVD-XT takes about 180s on an A100 80GB carda timing on a named card with no memory floor statedstabilityai/stable-video-diffusion-img2vid-xt on Hugging Face / recorded 2026-09-22
  • What the hosted service sells
    Wan 3.0 seconds at published per-second rates, from about $0.06 at 480PSceneMixer, price list / recorded 2026-09-12
  • What the hosted service sells
    LTX-2.5 API seconds at $0.09 to $0.39LTX Studio, API / recorded 2026-09-12