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)
- Feature request: ability to add custom path in parser.parse_args() for app.py HOT 1
- is there a way to get it working behind an api? HOT 3
- Add checkpoints HOT 1
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- AttributeError: 'NoneType' object has no attribute 'generated_images' - Can't start app after fresh install HOT 2
- Cannot find python after installing python 3 HOT 2
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- Sd small encoder not working HOT 1
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- Embeddings? (Textual Inversion) HOT 1
- Error in dependencies python during first launch, win11 HOT 2
- Not opening Web-ui and desktop HOT 4
- where are the ai models downloaded HOT 2
- RealVisXL v4.0 not generating images properly HOT 10
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- ValueError: Invalid LoRA checkpoint. HOT 12
- Text to Video HOT 1
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