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
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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
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true
false
false
3
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no
default
false
false
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true
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l2
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constant
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2,048
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512,512
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75
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256
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bf16
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Original
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bitsandbytes.optim.AdEMAMix8bit
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false
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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
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512
0.00005
sigmoid
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all
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true
all
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0.0001
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false
false
false
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false
sdpa

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