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Update config_lora-20240901-142242.toml

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  1. config_lora-20240901-142242.toml +66 -66
config_lora-20240901-142242.toml CHANGED
@@ -1,66 +1,66 @@
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- ae = "D:/StabilityMatrix-win-x64/Data/Models/VAE/ae.safetensors"
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- apply_t5_attn_mask = true
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- bucket_reso_steps = 32
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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 = "D:/StabilityMatrix-win-x64/Data/Models/VAE/clip_l.safetensors"
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- dataset_config = "C:/Users/PC/Pictures/dataset.toml"
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- discrete_flow_shift = 3.1582
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- dynamo_backend = "no"
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- enable_bucket = true
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- epoch = 100
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- fp8_base = true
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- fp8_base_unet = true
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- full_bf16 = true
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- gradient_accumulation_steps = 1
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- gradient_checkpointing = true
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- guidance_scale = 1.0
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- highvram = true
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- huber_c = 0.1
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- huber_schedule = "snr"
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- keep_tokens = 1
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- loss_type = "l2"
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- lr_scheduler = "cosine"
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- lr_scheduler_args = []
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- lr_scheduler_num_cycles = 1
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- lr_scheduler_power = 1
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- max_bucket_reso = 2048
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- max_data_loader_n_workers = 0
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- max_grad_norm = 1
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- max_timestep = 1000
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- mem_eff_save = true
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- min_bucket_reso = 256
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- min_snr_gamma = 5
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- mixed_precision = "bf16"
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- model_prediction_type = "raw"
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- network_alpha = 32
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- network_args = []
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- network_dim = 32
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- network_module = "networks.lora_flux"
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- noise_offset = 0.0357
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- noise_offset_type = "Original"
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- optimizer_args = [ "weight_decay=0.01",]
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- optimizer_type = "AdamW8bit"
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- output_dir = "C:\\Users\\PC\\Pictures\\Model 666"
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- output_name = "AishaKhan"
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- pretrained_model_name_or_path = "D:/StabilityMatrix-win-x64/Data/Models/StableDiffusion/flux1-dev.safetensors"
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- prior_loss_weight = 1
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- resolution = "1024,1024"
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- sample_every_n_steps = 100
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- sample_prompts = "C:\\Users\\PC\\Pictures\\Model 104\\sample/prompt.txt"
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- sample_sampler = "euler_a"
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- save_every_n_epochs = 10
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- save_model_as = "ckpt"
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- save_precision = "float"
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- sdpa = true
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- t5xxl = "D:/StabilityMatrix-win-x64/Data/Models/VAE/t5xxl_fp16.safetensors"
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- t5xxl_max_token_length = 512
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- text_encoder_lr = 5e-5
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- timestep_sampling = "flux_shift "
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- train_batch_size = 1
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- unet_lr = 0.0001
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- vae = "D:/StabilityMatrix-win-x64/Data/Models/VAE/ae.safetensors"
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- wandb_run_name = "Test104"
 
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+ ae = "D:/StabilityMatrix-win-x64/Data/Models/VAE/ae.safetensors"
2
+ apply_t5_attn_mask = true
3
+ bucket_reso_steps = 32
4
+ cache_latents = true
5
+ cache_latents_to_disk = true
6
+ cache_text_encoder_outputs = true
7
+ cache_text_encoder_outputs_to_disk = true
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+ caption_extension = ".txt"
9
+ clip_l = "D:/StabilityMatrix-win-x64/Data/Models/VAE/clip_l.safetensors"
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+ dataset_config = "C:/Users/PC/Pictures/dataset.toml"
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+ discrete_flow_shift = 3.1582
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+ dynamo_backend = "no"
13
+ enable_bucket = true
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+ epoch = 100
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+ fp8_base = true
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+ fp8_base_unet = true
17
+ full_bf16 = true
18
+ gradient_accumulation_steps = 1
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+ gradient_checkpointing = true
20
+ guidance_scale = 1.0
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+ highvram = true
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+ huber_c = 0.1
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+ huber_schedule = "snr"
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+ keep_tokens = 1
25
+ loss_type = "l2"
26
+ lr_scheduler = "cosine"
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+ lr_scheduler_args = []
28
+ lr_scheduler_num_cycles = 1
29
+ lr_scheduler_power = 1
30
+ max_bucket_reso = 2048
31
+ max_data_loader_n_workers = 0
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+ max_grad_norm = 1
33
+ max_timestep = 1000
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+ mem_eff_save = true
35
+ min_bucket_reso = 256
36
+ min_snr_gamma = 5
37
+ mixed_precision = "bf16"
38
+ model_prediction_type = "raw"
39
+ network_alpha = 32
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+ network_args = []
41
+ network_dim = 32
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+ network_module = "networks.lora_flux"
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+ noise_offset = 0.0357
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+ noise_offset_type = "Original"
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+ optimizer_args = [ "weight_decay=0.01",]
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+ optimizer_type = "AdamW8bit"
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+ output_dir = "C:\\Users\\PC\\Pictures\\Model 104"
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+ output_name = "AishaKhan"
49
+ pretrained_model_name_or_path = "D:/StabilityMatrix-win-x64/Data/Models/StableDiffusion/flux1-dev.safetensors"
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+ prior_loss_weight = 1
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+ resolution = "1024,1024"
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+ sample_every_n_steps = 100
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+ sample_prompts = "C:\\Users\\PC\\Pictures\\Model 104\\sample/prompt.txt"
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+ sample_sampler = "euler_a"
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+ save_every_n_epochs = 10
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+ save_model_as = "ckpt"
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+ save_precision = "float"
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+ sdpa = true
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+ t5xxl = "D:/StabilityMatrix-win-x64/Data/Models/VAE/t5xxl_fp16.safetensors"
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+ t5xxl_max_token_length = 512
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+ text_encoder_lr = 5e-5
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+ timestep_sampling = "flux_shift "
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+ train_batch_size = 1
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+ unet_lr = 0.0001
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+ vae = "D:/StabilityMatrix-win-x64/Data/Models/VAE/ae.safetensors"
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+ wandb_run_name = "Test104"