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calcuis/
humo-gguf

Name: humo-gguf
Availability: InStock

gguf

gguf-node

image-to-video

bytedance-research/HuMo

quantized

apache-2.0

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humo-gguf

drag humo to > ./ComfyUI/models/diffusion_models
drag cow-umt5xxl [3.67GB] to > ./ComfyUI/models/text_encoders
drag pig [254MB] to > ./ComfyUI/models/vae

s2v workflow

drag humo to > ./ComfyUI/models/diffusion_models
anyone below, drag it to > ./ComfyUI/models/text_encoders
- option 1: just cow-umt5xxl [3.67GB]
- option 2: just umt5xxl [3.47GB] (rebuild tokenizer process)
- option 3: both cat-umt5xxl [3.66GB] and tokenizer [4.55MB]
drag whisper3 [3.23GB] to > ./ComfyUI/models/audio_encoders
drag pig [254MB] to > ./ComfyUI/models/vae

note: output seems different from wan; don't expect too much; get the lite lora for 4/8-step operation here, the lora works for 17b only; but 1.7b itself is fast enough

reference

gguf-node (pypi|repo|pack)

calcuis/humo-gguf

humo-gguf

s2v workflow

reference

calcuis/
humo-gguf