Instructions to use Comfy-Org/MiniMax-H3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use Comfy-Org/MiniMax-H3 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Measured cost per clip on six rented GPUs (4090, L40S, H100 PCIe, RTX 5090): same weights, graph and seeds
Disclosure: I'm building a service around GPU cost measurement, so read me as an interested party. Every number below is from runs I paid for myself ($2.06 total for the six rows).
Job: text-to-video, one 5-second clip at 864x480, 20 steps, the stock ComfyUI T2V graph from v0.35.0 with the int8_convrot weights from this repo (DiT + Qwen3-VL encoder + VAEs, 67 GB total), no LoRA, same prompt and seeds on every card, torch cu130 everywhere. Three clips per card. "Steady" is clips 2 and 3 at the rate paid. "Session" is everything the provider billed, including the 67 GB download and the first cold clip, divided by three clips.
| provider | card | host vCPU / RAM | s per clip | $ per clip, steady | $ per clip, session |
|---|---|---|---|---|---|
| RunPod Community, $0.69/h | RTX 5090 32 GB | 16 / 94 GB | 69 | $0.0135 | $0.049 |
| RunPod Secure, $0.99/h | RTX 5090 32 GB | 15 / 117 GB | 100 | $0.028 | $0.083 |
| RunPod Secure, $0.74/h | RTX 4090 24 GB | 15 / 86 GB | 92 | $0.019 | $0.07 |
| Vast.ai spot, bid $0.40/h | RTX 4090 24 GB | 32 / 108 GB | 93 | $0.013 | $0.17 |
| Nebius preemptible, $0.92/h | L40S 48 GB | 24 / 94 GB | 89 | $0.024 | $0.19 |
| Hyperstack spot, $2.00/h | H100 PCIe 80 GB | 28 / 177 GB | 67 | $0.038 | $0.13 |
Per step: 5090 2.63β2.88 s, H100 PCIe 2.99 s, L40S and both 4090s 3.72β3.97 s.
Notes:
- The 5090 does not hold the whole DiT: VRAM sat at 31.8 GB through the sampler and 1β3 GB still crossed PCIe every step, against 9β10 GB on a 4090. The Secure 5090 lost 30 s per clip to the mp4 encode on that pod's CPU (38 s against 2 s on the Community pod).
- Host RAM decides whether the job runs at all: the weights stage in RAM, peak 68 GB on the 4090 hosts. Most Community 5090 pods on offer had 46β54 GB.
- Download speed dominates short sessions: 450 MB/s on the Vast host, 370 on Hyperstack, 210 on RunPod, 104 on Nebius; on Nebius the first clip took 11.5 minutes because the weights come back from a network disk.
- Steady-state numbers exclude the text encoder (same prompt, cached): a new prompt adds 15β23 s per clip on the 24 GB cards and 6β9 s on the 5090.
Per-run table, method, caveats and raw CSVs: https://qrun.cloud/measurements
Update, 13 September: a seventh row. RunPod Secure, RTX PRO 6000 Blackwell Server Edition 96 GB, $2.09/h: 47 s per clip, 1.98 s per step, $0.0275 per clip steady and $0.164 over a three-clip session. Peak VRAM 63.7 GB: the DiT and the text encoder sit in the card together, nothing streams; text encode on the first clip drops to 3.5 s. Cheaper per clip than the H100 PCIe ($0.0375) despite the higher hourly rate. Three clips, one pod, one day.