saulemprendedor
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Parent(s):
dd01e4c
Add files using upload-large-folder tool
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Rank_1_FAST_4x_GPU-000034.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:da4d9c1c56511fdc2abab7353bee672a1bce9ac57a237e7d6d8f10bdb7715bb9
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size 2535602472
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Rank_1_FAST_4x_GPU-000074.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e95b0122535bbe3bce60f8abf4178c03df845a6027c556d0e06f535aca656c88
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size 2535602472
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Rank_1_FAST_4x_GPU-000087.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:234b2bb51cfbce9d4264d8ec18484381ad7de87a95f8b1745db5f4369241af9e
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size 2535602472
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config_lora-20240908-021221.toml
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ae = "/home/Ubuntu/Downloads/ae.safetensors"
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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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dynamo_backend = "no"
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epoch = 25
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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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loss_type = "l2"
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lr_scheduler = "constant"
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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_timestep = 1000
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max_train_steps = 10000
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mem_eff_save = true
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min_bucket_reso = 256
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mixed_precision = "bf16"
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model_prediction_type = "raw"
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network_alpha = 128
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network_args = []
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network_dim = 128
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network_module = "networks.lora_flux"
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noise_offset_type = "Original"
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optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False", "weight_decay=0.01",]
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optimizer_type = "Adafactor"
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output_dir = "/home/Ubuntu/apps/StableSwarmUI/Models/Lora"
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output_name = "Rank_1_FAST_4x_GPU"
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pretrained_model_name_or_path = "/home/Ubuntu/Downloads/flux1-dev.safetensors"
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prior_loss_weight = 1
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resolution = "1024,1024"
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sample_prompts = "/home/Ubuntu/apps/StableSwarmUI/Models/Lora/sample/prompt.txt"
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sample_sampler = "euler_a"
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save_every_n_epochs = 1
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save_model_as = "safetensors"
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save_precision = "float"
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sdpa = true
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seed = 1
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t5xxl = "/home/Ubuntu/Downloads/t5xxl_fp16.safetensors"
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t5xxl_max_token_length = 512
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text_encoder_lr = 0.0001
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timestep_sampling = "sigmoid"
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train_batch_size = 2
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train_data_dir = "/home/Ubuntu/Downloads/flux_train/img"
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unet_lr = 0.0001
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vae_batch_size = 4
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wandb_run_name = "Rank_1_FAST_4x_GPU"
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