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dataset.toml

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+[general]
+shuffle_caption = false
+caption_extension = '.txt'
+keep_tokens = 1
+
+[[datasets]]
+resolution = 512
+batch_size = 1
+keep_tokens = 1
+
+  [[datasets.subsets]]
+  image_dir = '/home/ubuntu/fluxgym/datasets/lora-model-ugc'
+  class_tokens = 'ugc99fmn'
+  num_repeats = 10

lora-model-ugc-000004.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c01b125e1ab7a939684402b1578bb8468da8f743e5eaeb2bf14abe65ccfefca8
+size 39770584

lora-model-ugc-000008.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:899e90b3c1a005fb459100a968519cc565d58b339a31d2dea6d672af706dbdc0
+size 39770584

sample_prompts.txt

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+ugc99fmn

train.sh

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+accelerate launch \
+  --mixed_precision bf16 \
+  --num_cpu_threads_per_process 1 \
+  sd-scripts/flux_train_network.py \
+  --pretrained_model_name_or_path "/home/ubuntu/fluxgym/models/unet/flux1-dev.sft" \
+  --clip_l "/home/ubuntu/fluxgym/models/clip/clip_l.safetensors" \
+  --t5xxl "/home/ubuntu/fluxgym/models/clip/t5xxl_fp16.safetensors" \
+  --ae "/home/ubuntu/fluxgym/models/vae/ae.sft" \
+  --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 8e-4 \
+  --cache_text_encoder_outputs \
+  --cache_text_encoder_outputs_to_disk \
+  --fp8_base \
+  --highvram \
+  --max_train_epochs 16 \
+  --save_every_n_epochs 4 \
+  --dataset_config "/home/ubuntu/fluxgym/outputs/lora-model-ugc/dataset.toml" \
+  --output_dir "/home/ubuntu/fluxgym/outputs/lora-model-ugc" \
+  --output_name lora-model-ugc \
+  --timestep_sampling shift \
+  --discrete_flow_shift 3.1582 \
+  --model_prediction_type raw \
+  --guidance_scale 1 \
+  --loss_type l2 \