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@solar96

Joined June 2026

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Posts · 3
@solar96·2mo ago

Do anyone experience a bug running Image suite plugin?

What happened? i ran wan2gp update to the latest version here on pinokio, and i have installed Z image turbo and flux 2 klein 4b too, as i read workis with the Image suite plugin. The Multicanvas tool seems to fail reading the sampler and scheduler, i fixed that after add "allow_custom_value=True" to the code to module, scheduler, model, turbo dragg , of the page.py , even then after that, now inpaint masked and in paint not masked wont work, honestly i tried to solve it with claude haha, and said is something related to gradio and the plugin conflict, so im not sure whatshappening since every

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AboutWan2GPpinokiofactory/wanView app
#bug
0
@solar96·3mo ago

Im in love with this app, and saved me!

Thanks to the people made pinokio happened, and DeepBeepMeep for all the love and effort on this app, is very impresive how are group up the tools and the accecible and friendly app. ,this app is so well built in, working fast and easy to use that even if my hadware is not the best but with WAN2GP and Pinokio ,i can join smooth to this . wan2gp is the second best thing happened to me since pinokio related to IA !

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AboutWan2GPpinokiofactory/wanView app
#review
2
@solar96·3mo ago

Z-image turbo wont load nunchaku int4 kernels.

What are you trying to do? Create images using z.image turbo with this faster model and his kernels (nunchaku int4) What have you tried? Install and reinstall this models, but seems not work, the dev console say "Loading Model 'ckpts\svdq-int4_r256-z-image-turbo.safetensors' ... Loading Text Encoder 'ckpts\Qwen3\qwen3_quanto_bf16_int8.safetensors' ... [nunchaku_int4] Nunchaku kernels unavailable; using Python fallback. Pinning data of 'transformer' to reserved RAM" As i read this kernels are very fast and optimized for hadware like mine and rtx 3000 series, but speed still the same as other z

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AboutWan2GPpinokiofactory/wanView app
#question
2
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