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LoRa_16gb_Training_Settings

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LoRA_type string	LyCORIS_preset string	adaptive_noise_scale int64	additional_parameters string	ae string	apply_t5_attn_mask bool	async_upload bool	block_alphas string	block_dims string	block_lr_zero_threshold string	bucket_no_upscale bool	bucket_reso_steps int64	bypass_mode bool	cache_latents bool	cache_latents_to_disk bool	caption_dropout_every_n_epochs int64	caption_dropout_rate int64	caption_extension string	clip_l string	clip_skip int64	color_aug bool	constrain int64	conv_alpha int64	conv_block_alphas string	conv_block_dims string	conv_dim int64	cpu_offload_checkpointing bool	dataset_config string	debiased_estimation_loss bool	decompose_both bool	dim_from_weights bool	discrete_flow_shift int64	dora_wd bool	down_lr_weight string	dynamo_backend string	dynamo_mode string	dynamo_use_dynamic bool	dynamo_use_fullgraph bool	enable_all_linear bool	enable_bucket bool	epoch int64	extra_accelerate_launch_args string	factor int64	flip_aug bool	flux1_cache_text_encoder_outputs bool	flux1_cache_text_encoder_outputs_to_disk bool	flux1_checkbox bool	fp8_base bool	fp8_base_unet bool	full_bf16 bool	full_fp16 bool	gpu_ids string	gradient_accumulation_steps int64	gradient_checkpointing bool	guidance_scale float64	highvram bool	huber_c float64	huber_schedule string	huggingface_path_in_repo string	huggingface_repo_id string	huggingface_repo_type string	huggingface_repo_visibility string	huggingface_token string	img_attn_dim string	img_mlp_dim string	img_mod_dim string	in_dims string	ip_noise_gamma int64	ip_noise_gamma_random_strength bool	keep_tokens int64	learning_rate float64	log_config bool	log_tracker_config string	log_tracker_name string	log_with string	logging_dir string	loraplus_lr_ratio int64	loraplus_text_encoder_lr_ratio int64	loraplus_unet_lr_ratio int64	loss_type string	lowvram bool	lr_scheduler string	lr_scheduler_args string	lr_scheduler_num_cycles int64	lr_scheduler_power int64	lr_scheduler_type string	lr_warmup int64	lr_warmup_steps int64	main_process_port int64	masked_loss bool	max_bucket_reso int64	max_data_loader_n_workers int64	max_grad_norm int64	max_resolution string	max_timestep int64	max_token_length int64	max_train_epochs int64	max_train_steps int64	mem_eff_attn bool	mem_eff_save bool	metadata_author string	metadata_description string	metadata_license string	metadata_tags string	metadata_title string	mid_lr_weight string	min_bucket_reso int64	min_snr_gamma int64	min_timestep int64	mixed_precision string	model_list string	model_prediction_type string	module_dropout int64	multi_gpu bool	multires_noise_discount float64	multires_noise_iterations int64	network_alpha int64	network_dim int64	network_dropout int64	network_weights string	noise_offset float64	noise_offset_random_strength bool	noise_offset_type string	num_cpu_threads_per_process int64	num_machines int64	num_processes int64	optimizer string	optimizer_args string	output_dir string	output_name string	persistent_data_loader_workers bool	pretrained_model_name_or_path string	prior_loss_weight int64	random_crop bool	rank_dropout int64	rank_dropout_scale bool	reg_data_dir string	rescaled bool	resume string	resume_from_huggingface string	sample_every_n_epochs int64	sample_every_n_steps int64	sample_prompts string	sample_sampler string	save_as_bool bool	save_every_n_epochs int64	save_every_n_steps int64	save_last_n_steps int64	save_last_n_steps_state int64	save_model_as string	save_precision string	save_state bool	save_state_on_train_end bool	save_state_to_huggingface bool	scale_v_pred_loss_like_noise_pred bool	scale_weight_norms int64	sdxl bool	sdxl_cache_text_encoder_outputs bool	sdxl_no_half_vae bool	seed int64	shuffle_caption bool	single_dim string	single_mod_dim string	split_mode bool	split_qkv bool	stop_text_encoder_training int64	t5xxl string	t5xxl_lr int64	t5xxl_max_token_length int64	text_encoder_lr float64	timestep_sampling string	train_batch_size int64	train_blocks string	train_data_dir string	train_double_block_indices string	train_norm bool	train_on_input bool	train_single_block_indices string	train_t5xxl bool	training_comment string	txt_attn_dim string	txt_mlp_dim string	txt_mod_dim string	unet_lr float64	unit int64	up_lr_weight string	use_cp bool	use_scalar bool	use_tucker bool	v2 bool	v_parameterization bool	v_pred_like_loss int64	vae string	vae_batch_size int64	wandb_api_key string	wandb_run_name string	weighted_captions bool	xformers string
Flux1	full	0			true	false				true	64	false	true	true	0	0	.txt		1	false	0	1			1	false		true	false	false	3	false		no	default	false	false	false	true	10		-1	true	true	true	true	true	false	true	false		1	true	3.5	false	0.1	snr										0	false	0	0.0001	false					0	0	0	l2	false	constant		3	1		0	0	0	false	2,048	0	1	512,512	1,000	75	0	0	false	false							256	0	0	bf16	custom	raw	0	false	0.3	0	16	4	0		0.05	false	Original	2	1	1	bitsandbytes.optim.AdEMAMix8bit				false		1	false	0	false		false			1	0	There are two women standing next to each other. One of the women is wearing a blue jacket and has orange hair. The other woman has a yellow dress with a red flower on it and black sunglasses. There is a blue necklace around the neck of the woman. The women are standing in front of a white wall. The woman on the left has a blonde bob with bangs. --w 512 --h 512 In a lively jazz club, a skeleton is depicted playing a double bass, fully immersed in the music. The skeleton is dressed in classic jazz attire, featuring a sharp, tailored suit with a crisp white shirt and a black bow tie. Its bony fingers deftly maneuver over the instrument's strings, showcasing a passionate performance. The double bass has a deep, rich finish, reflecting the warm lights of the club. Surrounding the skeleton, the dimly lit ambiance is enhanced by soft, glowing spotlights that create a cozy atmosphere. In the background, silhouettes of an enthusiastic audience can be seen, with scattered instruments resting on tables, completing the vibrant jazz scene. --w 512 --h 512	euler	false	1	0	0	0	safetensors	bf16	false	false	false	false	0	false	true	true	0	false			false	false	0		0	512	0.00005	sigmoid	1	all		all	false	true	all	false					0.0001	1		false	false	false	false	false	0		0			false	sdpa