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This repository has been archived by the owner on May 14, 2024. It is now read-only.
Is it possible to resume training with Kohya LoRA Trainer XL?
It work really good on free colab but sometime it need to be completed with more processing.
I couldn't find the network_weight parameter to specify a safetensors path like with Kohya LoRA Dreambooth.
Is it possible editing the code manually?
Found this in 1.1 and I don't know if it's related : lora_dir = os.path.join(root_dir, "network_weight")
Thanks for the amazing work.
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Is it possible to resume training with Kohya LoRA Trainer XL?
It work really good on free colab but sometime it need to be completed with more processing.
I couldn't find the network_weight parameter to specify a safetensors path like with Kohya LoRA Dreambooth.
Is it possible editing the code manually?
Found this in 1.1 and I don't know if it's related : lora_dir = os.path.join(root_dir, "network_weight")
Thanks for the amazing work.
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