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@@ -34,3 +34,16 @@ I ran the following command:
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```bash
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accelerate launch --num_cpu_threads_per_process 1 flux_train.py --pretrained_model_name_or_path 'flux/flux1-dev.safetensors' --clip_l 'flux/clip_l.safetensors' --t5xxl 'flux/t5xxl_fp16.safetensors' --ae 'flux/ae.safetensors' --cache_latents --save_model_as safetensors --sdpa --persistent_data_loader_workers --max_data_loader_n_workers 2 --seed 42 --gradient_checkpointing --save_precision bf16 --learning_rate 5e-6 --optimizer_type adafactor --optimizer_args "relative_step=False" "scale_parameter=False" "warmup_init=False" --cache_text_encoder_outputs --max_train_epochs 10 --save_every_n_epochs 5 --dataset_config modern_anme_full.toml --output_dir flux --output_name modern_anime_full --timestep_sampling sigmoid --model_prediction_type raw --guidance_scale 1.0 --full_bf16 --max_bucket_reso 2048 --min_bucket_reso 512 --apply_t5_attn_mask --mixed_precision bf16 --cache_text_encoder_outputs_to_disk --cache_latents_to_disk --blockwise_fused_optimizer
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```
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```bash
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accelerate launch --num_cpu_threads_per_process 1 flux_train.py --pretrained_model_name_or_path 'flux/flux1-dev.safetensors' --clip_l 'flux/clip_l.safetensors' --t5xxl 'flux/t5xxl_fp16.safetensors' --ae 'flux/ae.safetensors' --cache_latents --save_model_as safetensors --sdpa --persistent_data_loader_workers --max_data_loader_n_workers 2 --seed 42 --gradient_checkpointing --save_precision bf16 --learning_rate 5e-6 --optimizer_type adafactor --optimizer_args "relative_step=False" "scale_parameter=False" "warmup_init=False" --cache_text_encoder_outputs --max_train_epochs 10 --save_every_n_epochs 5 --dataset_config modern_anme_full.toml --output_dir flux --output_name modern_anime_full --timestep_sampling sigmoid --model_prediction_type raw --guidance_scale 1.0 --full_bf16 --max_bucket_reso 2048 --min_bucket_reso 512 --apply_t5_attn_mask --mixed_precision bf16 --cache_text_encoder_outputs_to_disk --cache_latents_to_disk --blockwise_fused_optimizer
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```
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```toml
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[general]
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enable_bucket = true
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[[datasets]]
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resolution = 1024
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batch_size = 4
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[[datasets.subsets]]
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image_dir = 'modern_anime'
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metadata_file = 'modern_anime.json'
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```
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