@carolus

Joined October 2026

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@morpheus That's true. with 16GB you can't load the model and generate on such a high resolution. Try the LTX 2.3 or 2.5 distilled model. If this also doesn't work, I guess the only model that might work is the wan 2.1-1.3B model. It's the smallest one. But the quality is not that good.

@carolus·5d

in Wan2GP

Thanks for the suggestion. I tried those models as well, but I keep getting the same error message with all of them. I did test Phosphene 3.0 though, and that one actually works fine on my MacBook Air M4 with 16GB RAM.

@morpheus Meanwhile I replicated it and it's working. Same settings like you. Attention mode sdpa, Data Type BF16, Quantization Int8. I had to use a smaller resolution though, or it would have needed more than 2 hours on my RTX 5080. wan2.2 1

@carolus·5d

in Wan2GP

I have Macbook Air M4 16GB, I think the specifications are too weak for this.

@carolus Getting error Error The generation has encountered an error (AttributeError in pinned.py:55 register): ''NoneType' object has no attribute 'cudaHostRegister''. The full traceback is in the WanGP console. How to fix this?

@carolus·5d

in Wan2GP

I use Macbook Air M4 16GB, I think it don't work on this laptop.

@morpheus New wan2gp update I updated the wan2gp launcher to install the new wgp kernels and updated the llama.cpp kernels to version 1.0.29 like announced in Deep Beep Meep's latest Update News. [https://github.com/deepbeepmeep/WanGP#27th-of-october-2026-wangp-v1884---the-one-world-generator](https://github.com/deepbeepmeep/WanGP#27th-of-october

@carolus·6d

in Wan2GP

Getting error

Error

The generation has encountered an error (AttributeError in pinned.py:55 register): ''NoneType' object has no attribute 'cudaHostRegister''. The full traceback is in the WanGP console.

How to fix this?

You’re all caught up.

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