Instructions to use infosave/MiniMax-H3-Turbo-cmf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- cortiq
How to use infosave/MiniMax-H3-Turbo-cmf with cortiq:
# one Rust binary, no additional dependencies cargo install cortiq-cli # or a prebuilt binary from github.com/infosave2007/cmf/releases hf download infosave/MiniMax-H3-Turbo-cmf --include "*.cmf" --local-dir . ls *.cmf # some repos ship more than one quantization
cortiq animate FILE.cmf --prompt "a corgi in a chef hat flipping a pancake" --out clip.avi
- Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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## What comes out
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src="https://huggingface.co/infosave/MiniMax-H3-Turbo-cmf/resolve/main/samples/corgi_512x288_4step.mp4">
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</video>
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*"A corgi in a chef hat flipping a pancake, sizzling sounds and a cheerful bark."*
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— 512×288, 39 frames at 24 fps, seed 42, **four steps**, nothing but the prompt.
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The LoRA is not a separate download: it is merged into the weights, so the file
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IS the 4-step model.
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## What comes out
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*"A corgi in a chef hat flipping a pancake, sizzling sounds and a cheerful bark."*
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— 512×288, 39 frames at 24 fps, seed 42, **four steps**, nothing but the prompt.
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The GIF is silent; the audio is the point, so take the
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**[mp4](https://huggingface.co/infosave/MiniMax-H3-Turbo-cmf/resolve/main/samples/corgi_512x288_4step.mp4)**.
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It is not a second model: the same transformer denoises both streams in one
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packed sequence, on two different flow schedules.
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[`samples/`](https://huggingface.co/infosave/MiniMax-H3-Turbo-cmf/tree/main/samples)
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also holds the AVI `cortiq animate` actually wrote and its `.wav` — the mp4 and
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the GIF are remuxes for the browser, and the runtime itself never touches
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ffmpeg.
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The LoRA is not a separate download: it is merged into the weights, so the file
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IS the 4-step model.
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