calcuis
/

wan-1.3b-gguf

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gguf quantized version of wan2.1 t2v 1.3b

drag wan to > ./ComfyUI/models/diffusion_models
drag umt5 to > ./ComfyUI/models/text_encoders
drag vae to > ./ComfyUI/models/vae

Prompt
a pig moving quickly in a beautiful winter scenery nature trees sunset tracking camera

Negative Prompt
blurry ugly bad

Prompt
a pig moving quickly in a beautiful winter scenery nature trees sunset tracking camera

Negative Prompt
blurry ugly bad

Prompt
a pig moving quickly in a beautiful winter scenery nature trees sunset tracking camera

Negative Prompt
blurry ugly bad

Prompt
a pig moving quickly in a beautiful winter scenery nature trees sunset tracking camera

Negative Prompt
blurry ugly bad

Prompt
a pig moving quickly in a beautiful winter scenery nature trees sunset tracking camera

Negative Prompt
blurry ugly bad

Prompt
a pig moving quickly in a beautiful winter scenery nature trees sunset tracking camera

Negative Prompt
blurry ugly bad

review

wan architecture; should work on both comfyui-gguf and gguf nodes
full set gguf works right away (model + encoder + vae)
upgrade your node(s) for um5t gguf support
note: for um5t gguf, you might encounter oom after rebuilding your tokenizer in the first prompt (once built the tokenizer alive during the session; before you kill it); don't panic, prompt again it should work

reference

base model from wan-ai
comfyui from comfyanonymous
comfyui-gguf city96 (special thanks; fully compatible)
pig architecture from connector
gguf-node (pypi|repo|pack)

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GGUF

Model size

127M params

Architecture

pig

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Model tree for calcuis/wan-1.3b-gguf

Base model

Wan-AI/Wan2.1-T2V-1.3B

Quantized

(2)

this model