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As an AI outsider with a recent 24GB macbook, can I follow the quick start[1] steps from the repo and expect decent results? How much time would it take to gene

by thih9 11mo ago

As an AI outsider with a recent 24GB macbook, can I follow the quick start[1] steps from the repo and expect decent results? How much time would it take to generate a single medium quality image? [1]: https://github.com/Tongyi-MAI/Z-Image?tab=readme-ov-file#-quick-start https://github.com/Tongyi-MAI/Z-Image?tab=readme-ov-file#-qu...

altmanaltman 11mo ago
If you don't know anything about AI in terms of how these models are run, comfyui's macos version is probably the easiset to use. There is already a Z-Image workflow that you can get and comfyui will get all the models you need and get it work together. Can expect decent speed
- thih9 11mo ago
  I'm fine with the quick start steps and I prefer CLI to GUI anyway. But if I try it and find it too complex, I now know what to try instead - thanks. I'm still curious whether this would run on a MacBook and how long would it take to generate an image. What machine are you using?
- egeozcan 11mo ago
  Have a 48GB M4 Pro and every inference step takes like 10 seconds on a 1024x1024 image. so six steps and you need a minute. Not terrible, not great.
aleyan 11mo ago
I have a 24GB M5 macbook pro. In ComfyUI using default z-image workflow, generating a single image just took me 399 seconds, during which the computer froze and my airpods lost audio. On replicate.com a single image takes 1.5s at a price of 1000 images per $1. Would be interesting to see how quick it is on ComfyUI Cloud. Overall, running generative models locally on Macs seems very poor time investment.
- airtonix 11mo ago
  [dead]
Eisenstein 11mo ago
Try koboldcpp with the kcppt config file. The easiest way by far. Download the release here * https://github.com/LostRuins/koboldcpp/releases/tag/v1.103 https://github.com/LostRuins/koboldcpp/releases/tag/v1.103 Download the config file here * https://huggingface.co/koboldcpp/kcppt/resolve/main/z-image-turbo.kcppt https://huggingface.co/koboldcpp/kcppt/resolve/main/z-image-... Set +x to the koboldcpp executable and launch it, select 'Load config' and point at the config file, then hit 'launch'. Wait until the model weights are downloaded and launched, then open a browser and go to: * http://localhost:5001/sdui EDIT: This will work for Linux, Windows and Mac

by thih9 11mo ago

altmanaltman 11mo ago

If you don't know anything about AI in terms of how these models are run, comfyui's macos version is probably the easiset to use. There is already a Z-Image workflow that you can get and comfyui will get all the models you need and get it work together. Can expect decent speed

thih9 11mo ago
I'm fine with the quick start steps and I prefer CLI to GUI anyway. But if I try it and find it too complex, I now know what to try instead - thanks. I'm still curious whether this would run on a MacBook and how long would it take to generate an image. What machine are you using?
egeozcan 11mo ago
Have a 48GB M4 Pro and every inference step takes like 10 seconds on a 1024x1024 image. so six steps and you need a minute. Not terrible, not great.

aleyan 11mo ago

I have a 24GB M5 macbook pro. In ComfyUI using default z-image workflow, generating a single image just took me 399 seconds, during which the computer froze and my airpods lost audio. On replicate.com a single image takes 1.5s at a price of 1000 images per $1. Would be interesting to see how quick it is on ComfyUI Cloud. Overall, running generative models locally on Macs seems very poor time investment.

airtonix 11mo ago
[dead]

Eisenstein 11mo ago

Try koboldcpp with the kcppt config file. The easiest way by far. Download the release here * https://github.com/LostRuins/koboldcpp/releases/tag/v1.103 https://github.com/LostRuins/koboldcpp/releases/tag/v1.103 Download the config file here * https://huggingface.co/koboldcpp/kcppt/resolve/main/z-image-turbo.kcppt https://huggingface.co/koboldcpp/kcppt/resolve/main/z-image-... Set +x to the koboldcpp executable and launch it, select 'Load config' and point at the config file, then hit 'launch'. Wait until the model weights are downloaded and launched, then open a browser and go to: * http://localhost:5001/sdui EDIT: This will work for Linux, Windows and Mac