Datasets:

Ehtz
/

Lora

Modalities:

Formats:

Size:

Libraries:

Dataset card Viewer Files Files and versions Community

Dataset Viewer

Auto-converted to Parquet

Full Screen Viewer

Split (1)

train · 1 rows

adaptive_noise_scale int64	additional_parameters string	bucket_no_upscale bool	bucket_reso_steps int64	cache_latents bool	cache_latents_to_disk bool	caption_dropout_every_n_epochs float64	caption_dropout_rate int64	caption_extension string	clip_skip string	color_aug bool	enable_bucket bool	epoch int64	flip_aug bool	full_bf16 bool	full_fp16 bool	gradient_accumulation_steps string	gradient_checkpointing bool	keep_tokens string	learning_rate float64	learning_rate_te float64	learning_rate_te1 float64	learning_rate_te2 float64	logging_dir string	lr_scheduler string	lr_scheduler_args string	lr_scheduler_num_cycles string	lr_scheduler_power string	lr_warmup int64	max_bucket_reso int64	max_data_loader_n_workers string	max_resolution string	max_timestep int64	max_token_length string	max_train_epochs string	max_train_steps string	mem_eff_attn bool	min_bucket_reso int64	min_snr_gamma int64	min_timestep int64	mixed_precision string	model_list string	multires_noise_discount int64	multires_noise_iterations int64	no_token_padding bool	noise_offset int64	noise_offset_type string	num_cpu_threads_per_process 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 float64	random_crop bool	reg_data_dir string	resume string	sample_every_n_epochs int64	sample_every_n_steps int64	sample_prompts string	sample_sampler string	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	scale_v_pred_loss_like_noise_pred bool	sdxl bool	seed string	shuffle_caption bool	stop_text_encoder_training int64	train_batch_size int64	train_data_dir string	use_wandb bool	v2 bool	v_parameterization bool	v_pred_like_loss int64	vae string	vae_batch_size int64	wandb_api_key string	weighted_captions bool	xformers string
0	--max_grad_norm=0.0 --no_half_vae	true	64	true	true	0	0		1	false	false	1	false	false	false	1	true	0	0.000001	0.000001	0.000003	0	G:\automatic1111\stable-diffusion-webui\models\Stable-diffusion\sd15train\logs	constant				10	2,048	0	768,768	1,000	75			false	256	0	0	no	custom	0	0	false	0	Original	4	Adafactor	scale_parameter=False relative_step=False warmup_init=False weight_decay=0.01	G:\automatic1111\stable-diffusion-webui\models\Stable-diffusion\sd15train	tier_2_quality_speed	false	MonsterMMORPG/sd15_best_realism	1	false	G:\automatic1111\stable-diffusion-webui\models\Stable-diffusion\sd15train\reg_images_768		0	0		euler_a	1	0	0	0	safetensors	float	false	false	false		false	0	1	G:\automatic1111\stable-diffusion-webui\models\Stable-diffusion\sd15train\train_imgs_768	false	false	false	0		0		false	none

No dataset card yet

New: Create and edit this dataset card directly on the website!

Contribute a Dataset Card

Downloads last month: 5

Add dataset card

Size of downloaded dataset files:

Size of the auto-converted Parquet files:

Number of rows: