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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 = '/app/fluxgym/datasets/goblins-by-cosmic'
+ class_tokens = 'goblin'
+ num_repeats = 10

sample_prompts.txt

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+goblin

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 "/app/fluxgym/models/unet/flux1-dev.sft" \
+ --clip_l "/app/fluxgym/models/clip/clip_l.safetensors" \
+ --t5xxl "/app/fluxgym/models/clip/t5xxl_fp16.safetensors" \
+ --ae "/app/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 adafactor \
+ --optimizer_args "relative_step=False" "scale_parameter=False" "warmup_init=False" \
+ --lr_scheduler constant_with_warmup \
+ --max_grad_norm 0.0 \--sample_prompts="/app/fluxgym/outputs/goblins-by-cosmic/sample_prompts.txt" --sample_every_n_steps="600" \
+ --learning_rate 8e-4 \
+ --cache_text_encoder_outputs \
+ --cache_text_encoder_outputs_to_disk \
+ --fp8_base \
+ --highvram \
+ --max_train_epochs 6 \
+ --save_every_n_epochs 4 \
+ --dataset_config "/app/fluxgym/outputs/goblins-by-cosmic/dataset.toml" \
+ --output_dir "/app/fluxgym/outputs/goblins-by-cosmic" \
+ --output_name goblins-by-cosmic \
+ --timestep_sampling shift \
+ --discrete_flow_shift 3.1582 \
+ --model_prediction_type raw \
+ --guidance_scale 1 \
+ --loss_type l2 \