Trained on this collab <a target="_blank" rel="ugc" href="https://colab.research.google.com/drive/1bFX0pZczeApeFadrz1AdOb5TDdet2U0Z?usp=sharing">https://colab.research.google.com/drive/1bFX0pZczeApeFadrz1AdOb5TDdet2U0Z?usp=sharing</a> With these parameters: !accelerate launch \ --num_cpu_threads_per_process 12 train_network.py \ --network_module=networks.lora \ --pretrained_model_name_or_path="/content/model/nai.ckpt" \ --train_data_dir="/content/drive/MyDrive/sd/dataset/sincos" \ --reg_data_dir="/content/drive/MyDrive/sd/dataset/sincos_reg" \ --output_dir="/content/drive/MyDrive/sd/stable-diffusion-webui/models/Lora/" \ --caption_extension=".txt" \ --prior_loss_weight=1 \ --resolution=768 \ --enable_bucket \ --min_bucket_reso=320 \ --max_bucket_reso=960 \ --train_batch_size=3 \ --learning_rate=1e-5 \ --unet_lr=1.5e-4 \ --text_encoder_lr=1.5e-5 \ --max_train_epochs=10 \ --mixed_precision="fp16" \ --save_precision="fp16" \ --use_8bit_adam \ --xformers \ --save_every_n_epochs=1\ --save_model_as=safetensors \ --clip_skip=2 \ --seed=31337 \ --network_dim=128 \ --network_alpha=128 \ --max_token_length=150 \ --cache_latents \ --lr_scheduler="constant_with_warmup" \ --lr_warmup=5 \ --lr_scheduler_num_cycle=1 \ --output_name="christina" \ --shuffle_caption \ --keep_tokens=1 \ --max_data_loader_n_workers=1 \ --persistent_data_loader_workers \ --bucket_no_upscale \ --bucket_reso_steps=64 \ # --lr_warmup_steps= 40 \ # --noise_offset=0.1 \ Here is the tag_frequency: <a target="_blank" rel="ugc" href="https://files.catbox.moe/4ix2me.txt">https://files.catbox.moe/4ix2me.txt</a> For activation tokens check the 5th image.

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