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Can a 16GB RTX 5060 Ti Run MiniMax H3 at 1080p? A ComfyUI Test

MiniMax H3's model files total 39.55 GB. On an RTX 5060 Ti 16GB with 32 GB of RAM, 864×480 clips took about 294 s, and a 5-second 1920×1088 clip finished in about 72 minutes.

The RTX 5060 Ti 16GB in the test PC, with the MiniMax H3 logo overlaid

MiniMax H3 is a multimodal video model that can take images, video clips, and audio as reference material. Its ComfyUI model files total 39.55 GB, which makes a 16 GB graphics card look like a poor fit on paper.

We tried it anyway on an RTX 5060 Ti 16GB. It generated a 5-second clip at 1920 × 1088, as long as you can wait more than an hour for it. Here are the times, the memory use, and how it compares with a 32 GB RTX 4080 SUPER.

Test setup

  • GPU: RTX 5060 Ti 16GB
  • Platform: Gigabyte Z790, Intel Core i5-14600KF, 32 GB DDR5-6400 (the same PC as in our RTX 5060 Ti platform upgrade test)
  • ComfyUI: official release 0.32.0
  • Workflow: official MiniMax H3 text-to-video template
  • Models: the same four files as in our RTX 4080 SUPER test, 39.55 GB in total

ComfyUI missing-models panel listing the four MiniMax H3 model files, 39.55 GB in total

We tested text-to-video only. Image-to-video and reference-to-video add more input material and take longer as you add reference images, video, and audio, so treat these numbers as a baseline.

Test 1: default settings, 864 × 480

The official workflow defaults to 0.4 megapixels in its resolution selector, which produces 864 × 480, with a 5-second clip length.

ComfyUI queue showing three 864×480 runs at 308.18, 293.88, and 293.84 seconds, with the task details reporting a total generation time of 4 m 53 s

Run Time
First 308.18 s
Second 293.88 s
Third 293.84 s

Warm runs settled at just under five minutes per clip. During generation, Task Manager showed:

  • Dedicated GPU memory: 14.0 of 16.0 GB
  • Shared GPU memory: 11.5 GB
  • System RAM: 27.7 of 31.8 GB (87%)
  • GPU utilization: 100%, at 74 °C

Task Manager during an 864×480 run on the RTX 5060 Ti: 14.0 of 16.0 GB dedicated GPU memory and 27.7 of 31.8 GB system RAM in use, with ComfyUI’s log showing the VAEs prepared for dynamic VRAM loading

The ComfyUI log explains how a 39.55 GB pipeline fits on a 16 GB card: each component is “prepared for dynamic VRAM loading”, with its weights staged rather than held in VRAM in full. Part of the model lives in system RAM and moves to the GPU as needed. With 32 GB of system RAM, 87% usage leaves little headroom.

Compared with the RTX 4080 SUPER 32GB

We ran the same model files on a modified 32 GB RTX 4080 SUPER in a separate PC. The setups differ in more than the GPU, so read this as a system-to-system comparison.

RTX 5060 Ti 16GB RTX 4080 SUPER 32GB (modified)
ComfyUI version 0.32.0 0.30.0
System RAM installed 32 GB 64 GB
864 × 480, first run 308.18 s 396.18 s (models on HDD)
864 × 480, warm run 293.84 s 148.32 s
1920 × 1088 4,301.52 s 3,186.74 s
Dedicated GPU memory used 14.0 GB 31.6 GB
System RAM used 27.7 GB 53.5 GB

Task Manager during the RTX 4080 SUPER 32GB test: 31.6 of 32.0 GB dedicated GPU memory and 53.5 of 63.6 GB system RAM in use

The 4080 SUPER was about twice as fast for warm 864 × 480 runs. At 1920 × 1088 the gap narrowed: the 5060 Ti took 35% longer, about 18.6 minutes more.

The 5060 Ti system also used roughly half the VRAM and half the system RAM. Part of that is capacity: it has half as much of both, and ComfyUI’s dynamic loading adapts to the memory available. Format support may also play a role. The text encoder uses NVFP4, a 4-bit format that the RTX 50-series Blackwell architecture supports natively and the RTX 40-series Ada architecture does not. This comparison can’t separate the two effects.

Test 2: 1920 × 1088, 5 seconds

Next, we set the megapixels value to 2.0 for 1920 × 1088, keeping the clip length at 5 seconds.

ComfyUI with the megapixels setting at 2.0: the 1920×1088 run on the RTX 5060 Ti completed in 4,301.52 seconds, shown next to the RTX 4080 SUPER’s 3,186.74-second run

The run completed in 4,301.52 seconds (1 h 11 min 41 s) without an out-of-memory error. The log shows 20 sampling steps at about 207 seconds per step, with the diffusion model (19,995 MB) and text encoder (14,956 MB) both staged for dynamic VRAM loading.

Limits: longer 1080p clips

Five seconds is the practical ceiling at this resolution on this card: generating a single 10-second 1920 × 1088 clip ran out of VRAM.

To produce longer 1080p video, we generated several 5-second segments with the reference-to-video workflow and joined them afterwards. Reference-to-video accepts up to 9 images, 3 video clips, and 3 audio clips as references. Feeding the same character and scene references into every segment keeps the people and setting consistent between them. The only real drawback is the time it takes.

Conclusion

An RTX 5060 Ti 16GB with 32 GB of system RAM can run MiniMax H3 locally, including 5-second clips at 1920 × 1088. ComfyUI’s dynamic VRAM loading is what makes a 39.55 GB pipeline fit, at the cost of heavy system RAM use and long render times: about 5 minutes per 864 × 480 clip and about 72 minutes per 1080p clip.

If you work this way, iterate at the default resolution, render 1080p only for finals, keep 5-second segments for longer videos, and expect 32 GB of system RAM to be tight.

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