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
How about my RTX 3090 for running H3? Q4/Q2 or INT8 which version
#18
by enwong - opened
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int8
Int8 indeed.
Kijai changed discussion status to closed
i'm on rtx 5060 ti and pruned int8 runs slow but output much more realistic than ltx
same here 5060 ti
got 20 minutes per generation on 10 seconds in 0.9 MPixels, but following prompts and character identity preservation is much better than ltx, hope for some speedup LoRas in the future
I used pruned int8_convrot on RTX5080 for video 10 seconds /1MPixels, got a resualt :13min and 36s/step.I’m looking forward to the release of Distilled-Lora.