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dataset.toml

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+[general]
+shuffle_caption = false
+caption_extension = '.txt'
+keep_tokens = 1
+
+[[datasets]]
+resolution = 1024
+batch_size = 1
+keep_tokens = 1
+
+  [[datasets.subsets]]
+  image_dir = '/root/fluxgym/datasets/hwxjo'
+  class_tokens = 'hwxjo'
+  num_repeats = 11

sample_prompts.txt

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+hwxjo walks down a quiet alley, shadows stretching behind him.
+
+hwxjo drinks coffee by the window, lost in thought.
+
+hwxjo ties his boots as the morning light fills the room.
+
+hwxjo smokes alone on a balcony overlooking the city.
+
+hwxjo lifts a backpack and steps onto the train.
+
+hwxjo stands under a flickering streetlight, rain falling softly.
+
+hwxjo runs through the forest, breath heavy in the cold air.
+
+hwxjo leans against a brick wall, arms crossed, watching people pass.
+
+hwxjo throws a stone into the lake, eyes fixed on the ripples.
+
+hwxjo adjusts his jacket and walks into the crowd

train.sh

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+env/bin/accelerate launch \
+  --mixed_precision bf16 \
+  --num_cpu_threads_per_process 1 \
+  sd-scripts/flux_train_network.py \
+  --pretrained_model_name_or_path "/root/fluxgym/models/unet/flux1-dev.sft" \
+  --clip_l "/root/fluxgym/models/clip/clip_l.safetensors" \
+  --t5xxl "/root/fluxgym/models/clip/t5xxl_fp16.safetensors" \
+  --ae "/root/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 \--sample_prompts="/root/fluxgym/outputs/hwxjo/sample_prompts.txt" --sample_every_n_steps="300" \
+  --learning_rate 8e-4 \
+  --fp8_base \
+  --highvram \
+  --max_train_epochs 16 \
+  --save_every_n_epochs 4 \
+  --dataset_config "/root/fluxgym/outputs/hwxjo/dataset.toml" \
+  --output_dir "/root/fluxgym/outputs/hwxjo" \
+  --output_name hwxjo \
+  --timestep_sampling shift \
+  --discrete_flow_shift 3.1582 \
+  --model_prediction_type raw \
+  --guidance_scale 1 \
+  --loss_type l2 \