Cloned from KeilahElla/SDXL_checkpoints

SDXL_20240508.safetensors

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SDXL_20240526.safetensors

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SDXL_20240527.safetensors

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SDXL_20240528.command

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+/workspace/kohya_ss/venv/bin/accelerate launch --dynamo_backend no --dynamo_mode default --mixed_precision bf16 --num_processes 1 --num_machines 1 --num_cpu_threads_per_process 4 /workspace/kohya_ss/sd-scripts/sdxl_train.py --config_file /workspace/train/models/config_dreambooth-20240523-170922.toml --max_grad_norm=0.0 --no_half_vae --train_text_encoder 2>&1 | tee train.log

SDXL_20240528.safetensors

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SDXL_20240528.toml

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+bucket_no_upscale = true
+bucket_reso_steps = 64
+cache_latents = true
+cache_latents_to_disk = true
+caption_extension = ".simple"
+clip_skip = 1
+dynamo_backend = "no"
+enable_bucket = true
+epoch = 20
+flip_aug = true
+full_bf16 = true
+gradient_accumulation_steps = 1
+gradient_checkpointing = true
+huber_c = 0.1
+huber_schedule = "snr"
+learning_rate = 2e-6
+learning_rate_te1 = 1e-6
+learning_rate_te2 = 1e-6
+logging_dir = "/workspace/logs"
+loss_type = "l2"
+lr_scheduler = "constant"
+lr_scheduler_args = []
+lr_scheduler_num_cycles = 1
+lr_scheduler_power = 1
+max_bucket_reso = 2048
+max_data_loader_n_workers = 0
+max_timestep = 1000
+max_token_length = 75
+max_train_steps = 59795
+min_bucket_reso = 64
+mixed_precision = "bf16"
+noise_offset_type = "Original"
+optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False",]
+optimizer_type = "Adafactor"
+output_dir = "/workspace/train/models"
+output_name = "SDXL_20240528"
+pretrained_model_name_or_path = "/workspace/train/models/SDXL_20240527-000003.safetensors"
+prior_loss_weight = 1
+reg_data_dir = "/workspace/train/datasets/main"
+resolution = "1024,1024"
+sample_every_n_steps = 500
+sample_prompts = "/workspace/train/models/prompt.txt"
+sample_sampler = "euler_a"
+save_every_n_epochs = 1
+save_model_as = "safetensors"
+save_precision = "bf16"
+train_batch_size = 8
+train_data_dir = "/workspace/train/datasets/celebs"
+vae_batch_size = 6
+xformers = true

SDXL_20240618.command

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+/workspace/kohya_ss/venv/bin/accelerate launch --dynamo_backend no --dynamo_mode default --mixed_precision bf16 --num_processes 1 --num_machines 1 --num_cpu_threads_per_process 2 /workspace/kohya_ss/sd-scripts/sdxl_train.py --config_file /workspace/train/models/config_20240616.toml --max_grad_norm=0.0 --no_half_vae --train_text_encoder 2>&1 | tee train_20240618.log

SDXL_20240618.config

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+{
+  "adaptive_noise_scale": 0,
+  "additional_parameters": "--max_grad_norm=0.0 --no_half_vae --train_text_encoder",
+  "async_upload": false,
+  "bucket_no_upscale": true,
+  "bucket_reso_steps": 64,
+  "cache_latents": true,
+  "cache_latents_to_disk": true,
+  "caption_dropout_every_n_epochs": 0,
+  "caption_dropout_rate": 0,
+  "caption_extension": ".simple",
+  "clip_skip": 1,
+  "color_aug": false,
+  "dataset_config": "",
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+  "dynamo_backend": "no",
+  "dynamo_mode": "default",
+  "dynamo_use_dynamic": false,
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+  "gpu_ids": "",
+  "gradient_accumulation_steps": 3,
+  "gradient_checkpointing": true,
+  "huber_c": 0.1,
+  "huber_schedule": "snr",
+  "huggingface_path_in_repo": "",
+  "huggingface_repo_id": "",
+  "huggingface_repo_type": "",
+  "huggingface_repo_visibility": "",
+  "huggingface_token": "",
+  "ip_noise_gamma": 0,
+  "ip_noise_gamma_random_strength": false,
+  "keep_tokens": 0,
+  "learning_rate": 4e-06,
+  "learning_rate_te1": 1e-06,
+  "learning_rate_te2": 1e-06,
+  "log_tracker_config": "",
+  "log_tracker_name": "",
+  "log_with": "",
+  "logging_dir": "/workspace/logs",
+  "loss_type": "l2",
+  "lr_scheduler": "constant",
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+  "lr_scheduler_num_cycles": 1,
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+  "max_resolution": "1024,1024",
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+  "mem_eff_attn": false,
+  "metadata_author": "",
+  "metadata_description": "",
+  "metadata_license": "",
+  "metadata_tags": "",
+  "metadata_title": "",
+  "min_bucket_reso": "64",
+  "min_snr_gamma": 0,
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+  "mixed_precision": "bf16",
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+  "num_processes": 1,
+  "optimizer": "Adafactor",
+  "optimizer_args": "scale_parameter=False relative_step=False warmup_init=False",
+  "output_dir": "/workspace/train/models",
+  "output_name": "SDXL_20240618",
+  "persistent_data_loader_workers": false,
+  "pretrained_model_name_or_path": "/workspace/train/Stable-diffusion/",
+  "prior_loss_weight": 1,
+  "random_crop": false,
+  "reg_data_dir": "/workspace/train/datasets/main",
+  "resume": "",
+  "resume_from_huggingface": "",
+  "sample_every_n_epochs": 0,
+  "sample_every_n_steps": 300,
+  "sample_prompts": "keilah kang is wearing a bikini in the bedroom,  --w 1024, --h 1024, --d 1000, --s 20\nkeilah kang is wearing a bikini in the bedroom,  --n blurry, --w 1024, --h 1024, --d 1000, --s 20\nlaetitia casta is wearing a tanktop in the bedroom,  --w 1024, --h 1024, --d 1000, --s 20\nsofia gomez is wearing a bikini in the bedroom,  --w 1024, --h 1024, --d 1000, --s 20\nleni klum is wearing a bikini in the bedroom,  --w 1024, --h 1024, --d 1000, --s 20\nbobriha is wearing a bikini in the bedroom,  --w 1024, --h 1024, --d 1000, --s 20\na beautiful woman is wearing a bikini in the living room,  --w 1024, --h 1024, --d 1000, --s 20\na gorgeous view of the bosphorus in istanbul, with ferries in the view, --w 1024, --h 1024, --d 1000, --s 20",
+  "sample_sampler": "euler_a",
+  "save_as_bool": false,
+  "save_every_n_epochs": 1,
+  "save_every_n_steps": 0,
+  "save_last_n_steps": 0,
+  "save_last_n_steps_state": 0,
+  "save_model_as": "safetensors",
+  "save_precision": "bf16",
+  "save_state": false,
+  "save_state_on_train_end": false,
+  "save_state_to_huggingface": false,
+  "scale_v_pred_loss_like_noise_pred": false,
+  "sdxl": true,
+  "seed": 0,
+  "shuffle_caption": false,
+  "stop_text_encoder_training": 0,
+  "train_batch_size": 8,
+  "train_data_dir": "/workspace/train/datasets/celebs",
+  "v2": false,
+  "v_parameterization": false,
+  "v_pred_like_loss": 0,
+  "vae": "",
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+  "wandb_api_key": "",
+  "wandb_run_name": "",
+  "weighted_captions": false,
+  "xformers": "xformers"
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SDXL_20240618.safetensors

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SDXL_20241102/SDXL_20241102-000007.safetensors

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SDXL_keilah_20240408.json

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+{
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+  "additional_parameters": "--max_grad_norm=0.0 --no_half_vae --train_text_encoder",
+  "bucket_no_upscale": true,
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+  "cache_latents": true,
+  "cache_latents_to_disk": true,
+  "caption_dropout_every_n_epochs": 0.0,
+  "caption_dropout_rate": 0,
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+  "gradient_accumulation_steps": 1,
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+  "learning_rate_te2": 3e-06,
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+  "logging_dir": "/workspace/logs",
+  "loss_type": "l2",
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+  "optimizer_args": "scale_parameter=False relative_step=False warmup_init=False",
+  "output_dir": "/workspace/train/models",
+  "output_name": "SDXL_keilah_20240408",
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SDXL_keilah_20240409.json

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