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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+anime/flux_dev_lora_akame_ver1/assets/akame_flux_lora_comparison.drawio filter=lfs diff=lfs merge=lfs -text
+anime/flux_dev_lora_akame_ver1/assets/example_2.png filter=lfs diff=lfs merge=lfs -text
+anime/flux_dev_lora_akame_ver1/assets/example_3.png filter=lfs diff=lfs merge=lfs -text
+anime/flux_dev_lora_akame_ver1/assets/Overview_1.png filter=lfs diff=lfs merge=lfs -text

anime/flux_dev_lora_akame_ver1/assets/akame_flux_lora_comparison.drawio

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anime/flux_dev_lora_akame_ver1/lora_models/flux-lora-akame-0001000.safetensors

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anime/flux_dev_lora_akame_ver1/lora_models/flux-lora-akame-000600.safetensors

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anime/flux_dev_lora_akame_ver1/lora_models/flux-lora-akame-000800.safetensors

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anime/flux_dev_lora_akame_ver1/training_scripts/train.sh

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+#!/bin/bash
+export CUDA_VISIBLE_DEVICES=0,1
+
+accelerate launch \
+   --main_process_port 29555 \
+   --mixed_precision bf16 \
+   --num_cpu_threads_per_process 1 \
+   flux_train_network.py \
+   --pretrained_model_name_or_path /data/nvme5n1p1/vladimir_workspace/flux_main/ComfyUI/models/unet/flux1-dev.safetensors \
+   --clip_l /data/nvme5n1p1/vladimir_workspace/flux_main/ComfyUI/models/clip/clip_l.safetensors \
+   --t5xxl /data/nvme5n1p1/vladimir_workspace/flux_main/ComfyUI/models/clip/t5xxl_fp8_e4m3fn.safetensors \
+   --ae /data/nvme5n1p1/vladimir_workspace/flux_main/ComfyUI/models/vae/ae.safetensors \
+   --cache_latents_to_disk \
+   --save_model_as safetensors \
+   --sdpa \
+   --persistent_data_loader_workers \
+   --max_data_loader_n_workers 2 \
+   --seed 42 \
+   --gradient_checkpointing \
+   --mixed_precision bf16 \
+   --save_precision bf16 \
+   --network_module networks.lora_flux \
+   --network_dim 4 \
+   --optimizer_type adamw8bit \
+   --learning_rate 1e-4 \
+   --cache_text_encoder_outputs \
+   --cache_text_encoder_outputs_to_disk \
+   --fp8_base \
+   --highvram \
+   --max_train_epochs 1000 \
+   --save_every_n_epochs 200 \
+   --dataset_config /data/nvme5n1p1/vladimir_workspace/flux_main/flux_lora_training/dataset_akame.toml \
+   --output_dir /data/nvme5n1p1/vladimir_workspace/flux_main/flux_lora_training/output/flux-lora-akame_every_200_epochs \
+   --output_name flux-lora-akame \
+   --timestep_sampling shift \
+   --discrete_flow_shift 3.1582 \
+   --model_prediction_type raw \
+   --guidance_scale 1.0
+
+
+
+# Possible options:
+# --network_train_unet_only \ (more VRAM is required)