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413k54_Rank_1-000025.safetensors
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413k54_Rank_1-000050.safetensors
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version https://git-lfs.github.com/spec/v1
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413k54_Rank_1-000075.safetensors
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version https://git-lfs.github.com/spec/v1
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413k54_Rank_1_20241110-123902.json
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}
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config_lora-20241110-123846.toml
ADDED
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ae = "/home/Ubuntu/Downloads/ae.safetensors"
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| 2 |
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apply_t5_attn_mask = true
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| 3 |
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bucket_no_upscale = true
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bucket_reso_steps = 64
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cache_latents = true
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cache_latents_to_disk = true
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cache_text_encoder_outputs = true
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cache_text_encoder_outputs_to_disk = true
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caption_extension = ".txt"
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clip_l = "/home/Ubuntu/Downloads/clip_l.safetensors"
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discrete_flow_shift = 3.1582
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| 12 |
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dynamo_backend = "no"
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epoch = 100
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| 14 |
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full_bf16 = true
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| 15 |
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gradient_accumulation_steps = 1
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| 16 |
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gradient_checkpointing = true
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| 17 |
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guidance_scale = 1.0
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| 18 |
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highvram = true
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| 19 |
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huber_c = 0.1
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| 20 |
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huber_schedule = "snr"
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| 21 |
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logging_dir = "/home/Ubuntu/Downloads/413k54_training/log"
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| 22 |
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loss_type = "l2"
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| 23 |
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lr_scheduler = "constant"
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| 24 |
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lr_scheduler_args = []
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| 25 |
+
lr_scheduler_num_cycles = 1
|
| 26 |
+
lr_scheduler_power = 1
|
| 27 |
+
max_bucket_reso = 2048
|
| 28 |
+
max_data_loader_n_workers = 0
|
| 29 |
+
max_timestep = 1000
|
| 30 |
+
max_train_steps = 2100
|
| 31 |
+
mem_eff_save = true
|
| 32 |
+
min_bucket_reso = 256
|
| 33 |
+
mixed_precision = "bf16"
|
| 34 |
+
model_prediction_type = "raw"
|
| 35 |
+
network_alpha = 128
|
| 36 |
+
network_args = [ "train_double_block_indices=all", "train_single_block_indices=all",]
|
| 37 |
+
network_dim = 128
|
| 38 |
+
network_module = "networks.lora_flux"
|
| 39 |
+
noise_offset_type = "Original"
|
| 40 |
+
optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False", "weight_decay=0.01",]
|
| 41 |
+
optimizer_type = "Adafactor"
|
| 42 |
+
output_dir = "/home/Ubuntu/Downloads/413k54_training/model"
|
| 43 |
+
output_name = "413k54_Rank_1"
|
| 44 |
+
pretrained_model_name_or_path = "/home/Ubuntu/Downloads/flux1-dev.safetensors"
|
| 45 |
+
prior_loss_weight = 1
|
| 46 |
+
resolution = "1024,1024"
|
| 47 |
+
sample_prompts = "/home/Ubuntu/Downloads/413k54_training/model/sample/prompt.txt"
|
| 48 |
+
sample_sampler = "euler_a"
|
| 49 |
+
save_every_n_epochs = 25
|
| 50 |
+
save_model_as = "safetensors"
|
| 51 |
+
save_precision = "bf16"
|
| 52 |
+
seed = 1
|
| 53 |
+
t5xxl = "/home/Ubuntu/Downloads/t5xxl_fp16.safetensors"
|
| 54 |
+
t5xxl_max_token_length = 512
|
| 55 |
+
text_encoder_lr = [ 5e-5, 5e-5,]
|
| 56 |
+
timestep_sampling = "sigmoid"
|
| 57 |
+
train_batch_size = 1
|
| 58 |
+
train_data_dir = "/home/Ubuntu/Downloads/413k54_training/img"
|
| 59 |
+
unet_lr = 5e-5
|
| 60 |
+
vae_batch_size = 4
|
| 61 |
+
wandb_run_name = "413k54_Rank_1"
|
| 62 |
+
xformers = true
|
config_lora-20241110-123902.toml
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
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|
|
|
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|
|
|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
ae = "/home/Ubuntu/Downloads/ae.safetensors"
|
| 2 |
+
apply_t5_attn_mask = true
|
| 3 |
+
bucket_no_upscale = true
|
| 4 |
+
bucket_reso_steps = 64
|
| 5 |
+
cache_latents = true
|
| 6 |
+
cache_latents_to_disk = true
|
| 7 |
+
cache_text_encoder_outputs = true
|
| 8 |
+
cache_text_encoder_outputs_to_disk = true
|
| 9 |
+
caption_extension = ".txt"
|
| 10 |
+
clip_l = "/home/Ubuntu/Downloads/clip_l.safetensors"
|
| 11 |
+
discrete_flow_shift = 3.1582
|
| 12 |
+
dynamo_backend = "no"
|
| 13 |
+
epoch = 100
|
| 14 |
+
full_bf16 = true
|
| 15 |
+
gradient_accumulation_steps = 1
|
| 16 |
+
gradient_checkpointing = true
|
| 17 |
+
guidance_scale = 1.0
|
| 18 |
+
highvram = true
|
| 19 |
+
huber_c = 0.1
|
| 20 |
+
huber_schedule = "snr"
|
| 21 |
+
logging_dir = "/home/Ubuntu/Downloads/413k54_training/log"
|
| 22 |
+
loss_type = "l2"
|
| 23 |
+
lr_scheduler = "constant"
|
| 24 |
+
lr_scheduler_args = []
|
| 25 |
+
lr_scheduler_num_cycles = 1
|
| 26 |
+
lr_scheduler_power = 1
|
| 27 |
+
max_bucket_reso = 2048
|
| 28 |
+
max_data_loader_n_workers = 0
|
| 29 |
+
max_timestep = 1000
|
| 30 |
+
max_train_steps = 2100
|
| 31 |
+
mem_eff_save = true
|
| 32 |
+
min_bucket_reso = 256
|
| 33 |
+
mixed_precision = "bf16"
|
| 34 |
+
model_prediction_type = "raw"
|
| 35 |
+
network_alpha = 128
|
| 36 |
+
network_args = [ "train_double_block_indices=all", "train_single_block_indices=all",]
|
| 37 |
+
network_dim = 128
|
| 38 |
+
network_module = "networks.lora_flux"
|
| 39 |
+
noise_offset_type = "Original"
|
| 40 |
+
optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False", "weight_decay=0.01",]
|
| 41 |
+
optimizer_type = "Adafactor"
|
| 42 |
+
output_dir = "/home/Ubuntu/Downloads/413k54_training/model"
|
| 43 |
+
output_name = "413k54_Rank_1"
|
| 44 |
+
pretrained_model_name_or_path = "/home/Ubuntu/Downloads/flux1-dev.safetensors"
|
| 45 |
+
prior_loss_weight = 1
|
| 46 |
+
resolution = "1024,1024"
|
| 47 |
+
sample_prompts = "/home/Ubuntu/Downloads/413k54_training/model/sample/prompt.txt"
|
| 48 |
+
sample_sampler = "euler_a"
|
| 49 |
+
save_every_n_epochs = 25
|
| 50 |
+
save_model_as = "safetensors"
|
| 51 |
+
save_precision = "bf16"
|
| 52 |
+
seed = 1
|
| 53 |
+
t5xxl = "/home/Ubuntu/Downloads/t5xxl_fp16.safetensors"
|
| 54 |
+
t5xxl_max_token_length = 512
|
| 55 |
+
text_encoder_lr = [ 5e-5, 5e-5,]
|
| 56 |
+
timestep_sampling = "sigmoid"
|
| 57 |
+
train_batch_size = 1
|
| 58 |
+
train_data_dir = "/home/Ubuntu/Downloads/413k54_training/img"
|
| 59 |
+
unet_lr = 5e-5
|
| 60 |
+
vae_batch_size = 4
|
| 61 |
+
wandb_run_name = "413k54_Rank_1"
|
| 62 |
+
xformers = true
|
sample/prompt.txt
ADDED
|
File without changes
|