Comments (4)
Not planning to add support for this ChilloutMix NSFW model. Please try DreamShaper XL in the LCM-LoRA mode, select lcm-lcm-lora-sdxl :
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OK. I have tried that and found my ram is too small. I have 8GB RAM and 13GB SWAP, but it always fails with an OOM. I noticed that you offered an int8 model, and that works well. Could you please share the script to quantize?
P. S. Happy 2024!
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Happy New Year!
You can use lcm-openvino-converter https://github.com/rupeshs/lcm-openvino-converter
Also, pass --int8
to optimum-cli
command to compress model weight.
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Well, I wonder if there are other ways to prune? like using nncf
?
And if fastsdcpu supports using other normal LoRa?
Also, I have a question on quantization: Should we turn every weight into int8 or we should leave some in fp16?
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Related Issues (20)
- [Error]Fail to run HOT 7
- Problems Starting the Linux start script HOT 1
- Use openvino intel cpu plugin HOT 1
- High ram usage causes segmentation fault HOT 1
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- How can I change the maximum memory size that can be used by this model? HOT 2
- How to use Dreamshaper xl turbo with fastsdcpu ? HOT 3
- installation on windows HOT 2
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- IP adaptater Openvino HOT 2
- Python 3.9 required HOT 2
- Problem running the latest desktop gui HOT 4
- Web-frontend LCM-openVINO crashed hard HOT 1
- trying to install on android device with Termux HOT 1
- Error while trying to generate photo first time HOT 1
- Feature Request: Ability to 'refresh/reload' various dropdowns without restarting FastSD CPU
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- Installation Issues: Incompatible torch and openvino Versions in install.bat HOT 3
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