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Loras causes model to produce garbage #36

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skuznyuk opened this issue Jan 30, 2024 · 5 comments
Open

Loras causes model to produce garbage #36

skuznyuk opened this issue Jan 30, 2024 · 5 comments

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@skuznyuk
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When I have no LoRa everything works perfectly fine. However when I added LoRa to the conversion the output is always garbage (shown in picture). Is there something I did wrong in my workflow with regard to LoRa?

Is LoRa not supported in turbo SDXL models conversions? This LoRa (Trained on non-turbo though) works perfectly fine with this model in DrawThings so I dont think its a LoRa/Model compatibility issue.

Screenshot 2024-01-30 at 12 09 32 PM
@aszc-dev
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Unfortunately, I am unable to replicate your issue with the models/LoRAs I'm using. I've downloaded the same model and used with some other LoRA and the converted model produced nearly exact copy of safetensors model's image. I'm not sure what the problem may be. The only solution that comes to my mind for now is to try different LoRAs and see if that works.

@skuznyuk
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skuznyuk commented Jan 31, 2024

Thank you for the quick response. I attempted with another LoRA and got same result. https://civitai.com/models/122359/detail-tweaker-xl
image

Are you able to provide a screenshot of your workflow, maybe I am missing something.

@kartikagrawal2503
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I also faced the same when I tried to apply the same way given in Readme. But later on when I tried something experimental It worked. But still I am not 100% sure whether Lora models are working or it is just checkpoint.

@aszc-dev
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I've tried some LoRAs and couldn't get them to working, even those that used to work. I will need to figure out what is causing this.

@skuznyuk
@kartikagrawal2503
If you find a LoRA that is working and don't mind sharing, please update me with the details. It might help me resolving the issue.

@kartikagrawal2503
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kartikagrawal2503 commented Apr 24, 2024

Hi @aszc-dev ,
I am able to use below LoRA:
https://civitai.com/models/58390/detail-tweaker-lora-lora

I am not using it the way described in workflow as it was not working. Instead applying via CoreML adapter.

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