Upload v1/training_config.toml with huggingface_hub

v1/training_config.toml

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+pretrained_model_name_or_path = "/workspace/models/flux1-dev.safetensors"
+ae = "/workspace/models/ae.safetensors"
+t5xxl = "/workspace/models/t5xxl_fp16.safetensors"
+clip_l = "/workspace/models/clip_l.safetensors"
+output_dir = "/workspace/kohya_models/rita-v1"
+dataset_config = "/workspace/kohya_models/rita-v1/dataset_config.json"
+network_dim = 16
+network_alpha = 16
+train_batch_size = 2
+optimizer_type = "Adamw8bit"
+unet_lr = 0.0005
+epoch = 12
+max_train_steps = 1500
+apply_t5_attn_mask = false
+cache_latents = true
+cache_latents_to_disk = true
+cache_text_encoder_outputs = true
+cache_text_encoder_outputs_to_disk = true
+clip_skip = 1
+discrete_flow_shift = 3.1582
+full_bf16 = true
+mixed_precision = "bf16"
+gradient_accumulation_steps = 1
+gradient_checkpointing = true
+guidance_scale = 1.0
+highvram = true
+huber_c = 0.1
+huber_schedule = "snr"
+loss_type = "l2"
+lr_scheduler = "cosine_with_restarts"
+lr_scheduler_args = []
+lr_scheduler_num_cycles = 3
+lr_scheduler_power = 1
+max_data_loader_n_workers = 0
+max_grad_norm = 1
+max_timestep = 1000
+min_snr_gamma = 5
+model_prediction_type = "raw"
+network_args = [ "train_double_block_indices=all", "train_single_block_indices=all",]
+network_module = "networks.lora_flux"
+network_train_unet_only = true
+noise_offset = 0.1
+noise_offset_type = "Original"
+optimizer_args = []
+prior_loss_weight = 1
+sample_sampler = "euler"
+sdpa = true
+seed = 42
+t5xxl_max_token_length = 512
+text_encoder_lr = []
+timestep_sampling = "sigmoid"
+output_name = "lora"
+save_state_to_huggingface = true
+save_model_as = "safetensors"
+save_every_n_epochs = 1
+save_precision = "bf16"