Model reference · open weights

FastVideo-FastH3-Trim-8-Step

Video FastVideo Text→video 3 builds Its own licence terms 11 dl/mo

FastVideo-FastH3-Trim-8-Step is an open-weight video model from FastVideo. FastVideo-FastH3-Trim-8-Step-FP8 (FP8) weighs 44.8 GB; the smallest configuration that runs it is RTX 4090 24 GB.

For self-hosting, compare this build's requirements below with the GPU you plan to rent.

  • FastVideo-FastH3-Trim-8-Step is an experimental text-to-video model by FastVideo that generates synchronized audio in eight steps.
  • It uses 42 of the 50 MiniMax H3 transformer blocks and has 18.7B parameters.
  • The model is distributed under an other licence.

Summary of the FastVideo/FastVideo-FastH3-Trim-8-Step-FP8 model card, 2026-10-06

What it is

Released byFastVideo
Released2026-10-03
Parameters18.7B
VRAM44.8 GB for the weights

What it runs on

Memory and cards for FastVideo-FastH3-Trim-8-Step-FP8 (FP8)

44.8 GBweights, file size
21.3 GBbiggest part
537 MBruntime overhead
CardWeightsMemory
RTX 3060 12 GB … RTX 4060 Ti 16 GBdoes not fit
RTX 3090 24 GBtight (encoders offloaded)23.4 GB
RTX 4090 24 GBtight (encoders offloaded)23.4 GB
RTX 5090 32 GBfits (encoders offloaded)31.0 GB
L40S 48 GBfits (encoders offloaded)44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

Builds

Sizes, precisions & builds

BuildParamsPrecisionWeightsSmallest setup
FastVideo-FastH3-Trim-8-Step-FP8 (above) ↗ 18.7BFP8 44.8 GBRTX 4090 24 GB
FastVideo-FastH3-Trim-8-Step ↗ 18.7BBF16 60.9 GBL40S 48 GB
FastVideo-FastH3-Trim-8-Step-NVFP4 ↗ 885MNVFP4 35.4 GBRTX 4090 24 GB

From the model card

What FastVideo says about FastVideo-FastH3-Trim-8-Step

Read the model card

FastH3 Trim is an experimental, smaller version of FastH3 V2: eight-step text-to-video with synchronized audio from 42 of the 50 MiniMax H3 transformer blocks. We removed the eight blocks whose removal changed video and audio predictions the least, replaced each block's AdaLN timestep projection with a shared rank-16 basis, and trained the result with eight-step DMD2 (checkpoint 300). Removing blocks makes the model faster and smaller but costs some quality; use FastH3 V2 when quality matters most.

  • Sampling: 8 DMD steps (999, 874, 749, 624, 500, 375, 250, 125), sparse attention keeping 20% of tiles. fastvideo_inference.json holds the schedule, which FastVideo reads automatically.
  • Text encoder: NVFP4 Qwen3-VL trimmed to the 50 layers H3 reads.
  • VAE: LynnReal lightweight video VAE with Kijai's INT8 weights; H3 audio VAE.

Blog post: FastH3 on Consumer Hardware · Code: FastVideo

  • Transformer: 19.9 GiB. Attention and MLP linears in FP8 E4M3 with one scale per output channel; activations quantized per token at run time. Runs on the RTX 4090 and, with layerwise offload, within 16 GB and 12 GB.

Full-quality counterpart in the same format: FastVideo/FastVideo-FastH3-8-Step-V2-FP8.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

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