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MiniMax H3 Experimental

w4a8 is a format using 4-bit weights and int8-convrot activations

KindModelVersionMinimax h3 4step lora flashgen v1.0 768p fl2va pruned avg rank 13 bf16

Model source

Kind
Model
File size
177 MB–21.3 GB
Version
vMinimax h3 4step lora flashgen v1.0 768p fl2va pruned avg rank 13 bf16
Updated
Oct 14, 2026
Source
Hugging Face

Source description

w4a8 is a format using 4-bit weights and int8-convrot activations

Requires ComfyUI 0.31.0


int8_convrot VAE needs ComfyUI 0.36.0 for maximum speed benefit

It speeds up VAE decode times by ~2x


ref lora is the difference between fl2va and ref2va, completely experimental, I don't even know if it has a use case at this point.


w6a8 is a format using 6-bit weights and int8-convrot activation, work in progress

minimax_h3_ref2va_pruned_w6a8_g32.safetensor

https://github.com/Comfy-Org/comfy-kitchen/pull/191


minimax_h3_lynnreal_light_vae_int8_convrot.safetensors

https://huggingface.co/stdstu123/LynnReal-Onmi-light-vae

int8-convrot quant of the pruned light VAE, this is about 1.3x faster for decoding.


PDMD loras

Converted and rank reduced from:

https://huggingface.co/pdmd2026/pdmd_2NFE_lora

https://huggingface.co/pdmd2026/pdmd_4NFE_lora

DMAD lora

https://huggingface.co/ZhengmingYu/DMAD

Sources

1 source
Hugging FacePrimaryVersion d8023be02fefbb3633b0cd335c3879f91177299d
huggingface.co/Kijai/MiniMax-H3-experimental/tree/d8023be02fefbb3633b0cd335c3879f91177299d

Verified Oct 14

Model artifacts

20 artifacts

loras/minimax_h3_4step_lora_flashgen_v1.0_768p_fl2va_pruned_avg_rank_13_bf16.safetensors

safetensors · 177 MB · SHA-256 1254d62240b1…b067 · Hugging Face

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loras/minimax_h3_DMAD_4step_full_lora_avg_rank_39_bf16.safetensors

safetensors · 350 MB · SHA-256 ddfdd94f4c9a…2d11 · Hugging Face

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loras/minimax_h3_ELM_longlive_plug_4step_lora_bf16.safetensors

safetensors · 1.82 GB · SHA-256 4a1058d29eec…f214 · Hugging Face

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loras/minimax_h3_pdmd_2step_lora_avg_rank_38_bf16.safetensors

safetensors · 363 MB · SHA-256 a17f3eb45ab1…ec55 · Hugging Face

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loras/minimax_h3_pdmd_4step_lora_avg_rank_57_bf16.safetensors

safetensors · 533 MB · SHA-256 b5c62eb228a4…fc37 · Hugging Face

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loras/minimax_h3_ref_lora_rank_256_bf16.safetensors

safetensors · 2.40 GB · SHA-256 7979fb9e5ac8…9c87 · Hugging Face

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loras/MiniMax-H3-FL2VA-Acc-8Step_comfy.safetensors

safetensors · 1.61 GB · SHA-256 71347e272513…71ac · Hugging Face

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loras/MiniMax-H3-FL2VA-Acc-8Step_pruned_comfy.safetensors

safetensors · 1.61 GB · SHA-256 e97b813a6f85…a897 · Hugging Face

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loras/MiniMax-H3-Ref2VA-Acc-8Step_comfy.safetensors

safetensors · 1.61 GB · SHA-256 d7cd9480c000…7460 · Hugging Face

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loras/MiniMax-H3-Ref2VA-Acc-8Step_pruned_comfy.safetensors

safetensors · 1.61 GB · SHA-256 6f18e1c2eccb…1e39 · Hugging Face

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minimax_h3_fastvideo_vsa_datafree_1300step_4step_int8_convrot.safetensors

safetensors · 21.3 GB · SHA-256 7221ae65d787…13d3 · Hugging Face

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minimax_h3_fl2va_pruned_w4a8_mixed.safetensors

safetensors · 11.7 GB · SHA-256 01aa7b92c007…8dec · Hugging Face

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minimax_h3_lynnreal_light_vae_int8_convrot.safetensors

safetensors · 1.99 GB · SHA-256 f11f8b9b96c9…e7e2 · Hugging Face

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minimax_h3_ref2va_pruned_w4a8_mixed.safetensors

safetensors · 11.0 GB · SHA-256 de2c6c29c4ee…9910 · Hugging Face

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minimax_h3_video_vae_int8_convrot.safetensors

safetensors · 2.95 GB · SHA-256 9bb2d96f218c…3410 · Hugging Face

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model_patches/minimax_h3_fun_controlnet_union_2.0_pruned_bf16.safetensors

safetensors · 7.81 GB · SHA-256 cd48bdc11b1f…82b4 · Hugging Face

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model_patches/minimax_h3_fun_controlnet_union_2.0_pruned_int8_convrot.safetensors

safetensors · 4.22 GB · SHA-256 890af58bb350…c612 · Hugging Face

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model_patches/minimax_h3_fun_controlnet_union_pruned_bf16.safetensors

safetensors · 3.93 GB · SHA-256 57fe1e64928a…1c48 · Hugging Face

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model_patches/minimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors

safetensors · 2.14 GB · SHA-256 9c645c0a308c…ed0c · Hugging Face

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wip/minimax_h3_ref2va_pruned_w6a8_g32.safetensors

safetensors · 15.6 GB · SHA-256 565519608d06…db01 · Hugging Face

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Source excerpts

2 excerpts

w4a8 is a format using 4-bit weights and int8-convrot activations Requires ComfyUI 0.31.0 --- int8_convrot VAE needs ComfyUI 0.36.0 for maximum speed benefit It speeds up VAE decode times by ~2x --- ref lora is the difference between fl2va and ref2va, completely experimental, I don't even know if it has a use case at this point. --- w6a8 is a format using 6-bit weights and int8-convrot activation, work in progress ## minimax_h3_ref2va_pruned_w6a8_g32.safetensor https://github.com/Comfy-Org/comfy-kitchen/pull/191 --- ## minimax_h3_lynnreal_light_vae_int8_convrot.safetensors https://huggingface.co/stdstu123/LynnReal-Onmi-light-vae int8-convrot quant of the pruned light VAE, this is about 1.3x faster for decoding. --- ## PDMD loras Converted and rank reduced from: https://huggingface.co/pdmd2026/pdmd_2NFE_lora https://huggingface.co/pdmd2026/pdmd_4NFE_lora ## DMAD lora https://huggingface.co/ZhengmingYu/DMAD

Source context: 0 downloads · 593 likes · Repo Kijai/MiniMax-H3-experimental