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
the ported latent upscaler: 512x288 render decoded at 1024x576
Browse files- .gitattributes +1 -0
- samples/latent_upscaler_1024x576.mp4 +3 -0
.gitattributes
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@@ -66,3 +66,4 @@ samples/lora_ab_lora.mp4 filter=lfs diff=lfs merge=lfs -text
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samples/lora_ab_routed.mp4 filter=lfs diff=lfs merge=lfs -text
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images/lora_ab_base.png filter=lfs diff=lfs merge=lfs -text
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images/lora_ab_lora.png filter=lfs diff=lfs merge=lfs -text
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samples/lora_ab_routed.mp4 filter=lfs diff=lfs merge=lfs -text
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images/lora_ab_base.png filter=lfs diff=lfs merge=lfs -text
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images/lora_ab_lora.png filter=lfs diff=lfs merge=lfs -text
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samples/latent_upscaler_1024x576.mp4 filter=lfs diff=lfs merge=lfs -text
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samples/latent_upscaler_1024x576.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e53370dc3ca8a0556190ebddeec5c8204b282bd9b5c394aaa254b1f05258ccc
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size 501519
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