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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 104" |
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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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