gguf quantized version of wan 1.3b models
- run it straight with
gguf-connector
- opt a
gguf
file in the current directory to interact with by:
ggc w2
GGUF file(s) available. Select which one to use:
- wan2.1-t2v-1.3b-q4_0.gguf
- wan2.1-t2v-1.3b-q8_0.gguf
- wan2.1-vace-1.3b-q4_0.gguf
- wan2.1-vace-1.3b-q8_0.gguf
Enter your choice (1 to 4): _
run it with gguf-node via comfyui
- drag wan to >
./ComfyUI/models/diffusion_models
- drag umt5 to >
./ComfyUI/models/text_encoders
- drag pig 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); gguf node is recommended for full gguf
- vace model is recommended, since it doesn't need vision clip to work (for i2v and v2v) and run faster than fun model a lot, according to the initial test results
- upgrade your node for umt5 gguf encoder support
- note: for umt5 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
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Model tree for calcuis/wan-1.3b-gguf
Base model
Wan-AI/Wan2.1-T2V-1.3B