diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..41115d6898c402130aba6745ad572ffe640d7c75 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,36 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +img/100_Lena[[:space:]]person/1.png filter=lfs diff=lfs merge=lfs -text +img/100_Lena[[:space:]]person/10.png filter=lfs diff=lfs merge=lfs -text +img/100_Lena[[:space:]]person/11.png filter=lfs diff=lfs merge=lfs -text +img/100_Lena[[:space:]]person/12.png filter=lfs diff=lfs merge=lfs -text +img/100_Lena[[:space:]]person/13.png filter=lfs diff=lfs merge=lfs -text +img/100_Lena[[:space:]]person/14.png filter=lfs diff=lfs merge=lfs -text +img/100_Lena[[:space:]]person/15.png filter=lfs diff=lfs merge=lfs -text +img/100_Lena[[:space:]]person/2.png filter=lfs diff=lfs merge=lfs -text 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+model/sample/last_e000005_02_20250602165050.png filter=lfs diff=lfs merge=lfs -text diff --git a/config_lora-20250602-145848.toml b/config_lora-20250602-145848.toml new file mode 100644 index 0000000000000000000000000000000000000000..fccb2eab1338dc720ec5267617c1461f39c190d6 --- /dev/null +++ b/config_lora-20250602-145848.toml @@ -0,0 +1,48 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 512 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [ 4.5e-5, 4.5e-5,] +train_batch_size = 1 +train_data_dir = "/workspace/kohya_ss/dataset/images" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-145929.toml b/config_lora-20250602-145929.toml new file mode 100644 index 0000000000000000000000000000000000000000..64f2b64d5e40160b4e92343ed1dfb49155a45f23 --- /dev/null +++ b/config_lora-20250602-145929.toml @@ -0,0 +1,48 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 512 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [ 4.5e-5, 4.5e-5,] +train_batch_size = 1 +train_data_dir = "/workspace/kohya_ss/img/40_Lena person" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-150005.toml b/config_lora-20250602-150005.toml new file mode 100644 index 0000000000000000000000000000000000000000..64f2b64d5e40160b4e92343ed1dfb49155a45f23 --- /dev/null +++ b/config_lora-20250602-150005.toml @@ -0,0 +1,48 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 512 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [ 4.5e-5, 4.5e-5,] +train_batch_size = 1 +train_data_dir = "/workspace/kohya_ss/img/40_Lena person" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-150102.toml b/config_lora-20250602-150102.toml new file mode 100644 index 0000000000000000000000000000000000000000..35b5799d506475fcbc54cbb014a3c500237074c7 --- /dev/null +++ b/config_lora-20250602-150102.toml @@ -0,0 +1,48 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 512 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [ 4.5e-5, 4.5e-5,] +train_batch_size = 4 +train_data_dir = "/workspace/kohya_ss/img/40_Lena person" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-150232.toml b/config_lora-20250602-150232.toml new file mode 100644 index 0000000000000000000000000000000000000000..c3fcbeca42fac0edd9dc84bf69a548d6f31afdd9 --- /dev/null +++ b/config_lora-20250602-150232.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img/40_Lena" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-150344.toml b/config_lora-20250602-150344.toml new file mode 100644 index 0000000000000000000000000000000000000000..c3fcbeca42fac0edd9dc84bf69a548d6f31afdd9 --- /dev/null +++ b/config_lora-20250602-150344.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img/40_Lena" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-150626.toml b/config_lora-20250602-150626.toml new file mode 100644 index 0000000000000000000000000000000000000000..5a5fc61690ab941c4ae9c3ee1a12e15de2fb0942 --- /dev/null +++ b/config_lora-20250602-150626.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img/40_Lena/" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-150707.toml b/config_lora-20250602-150707.toml new file mode 100644 index 0000000000000000000000000000000000000000..b4dccccc1d769b35fbc002cd370311df3cfe70ad --- /dev/null +++ b/config_lora-20250602-150707.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img/40_Lena" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-151250.toml b/config_lora-20250602-151250.toml new file mode 100644 index 0000000000000000000000000000000000000000..fc7f00957c00246bcc5b8541164049cfa1148450 --- /dev/null +++ b/config_lora-20250602-151250.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img/10_Lena person" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-151500.toml b/config_lora-20250602-151500.toml new file mode 100644 index 0000000000000000000000000000000000000000..edc18be402a9995726899d0b27d0b717f49a5298 --- /dev/null +++ b/config_lora-20250602-151500.toml @@ -0,0 +1,50 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_epochs = 10 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "/workspace/kohya_ss/img/10_Lena person" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-151638.toml b/config_lora-20250602-151638.toml new file mode 100644 index 0000000000000000000000000000000000000000..edc18be402a9995726899d0b27d0b717f49a5298 --- /dev/null +++ b/config_lora-20250602-151638.toml @@ -0,0 +1,50 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_epochs = 10 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "/workspace/kohya_ss/img/10_Lena person" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-151841.toml b/config_lora-20250602-151841.toml new file mode 100644 index 0000000000000000000000000000000000000000..edc18be402a9995726899d0b27d0b717f49a5298 --- /dev/null +++ b/config_lora-20250602-151841.toml @@ -0,0 +1,50 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_epochs = 10 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "/workspace/kohya_ss/img/10_Lena person" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-152328.toml b/config_lora-20250602-152328.toml new file mode 100644 index 0000000000000000000000000000000000000000..af13a60a3f735cbcaad78002abda4d87a6bc5023 --- /dev/null +++ b/config_lora-20250602-152328.toml @@ -0,0 +1,51 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +loss_type = "l2" +lr_scheduler = "cosine" +lr_scheduler_args = [] +lr_scheduler_num_cycles = 1 +lr_scheduler_power = 1 +lr_warmup_steps = 0.1 +max_bucket_reso = 2048 +max_data_loader_n_workers = 0 +max_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_epochs = 10 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "/workspace/kohya_ss/img/10_Lena person" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-152659.toml b/config_lora-20250602-152659.toml new file mode 100644 index 0000000000000000000000000000000000000000..af13a60a3f735cbcaad78002abda4d87a6bc5023 --- /dev/null +++ b/config_lora-20250602-152659.toml @@ -0,0 +1,51 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +loss_type = "l2" +lr_scheduler = "cosine" +lr_scheduler_args = [] +lr_scheduler_num_cycles = 1 +lr_scheduler_power = 1 +lr_warmup_steps = 0.1 +max_bucket_reso = 2048 +max_data_loader_n_workers = 0 +max_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_epochs = 10 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "/workspace/kohya_ss/img/10_Lena person" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-152748.toml b/config_lora-20250602-152748.toml new file mode 100644 index 0000000000000000000000000000000000000000..4efd4c6c351ef09dde330f556c434c4e85334cf8 --- /dev/null +++ b/config_lora-20250602-152748.toml @@ -0,0 +1,51 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +loss_type = "l2" +lr_scheduler = "cosine" +lr_scheduler_args = [] +lr_scheduler_num_cycles = 1 +lr_scheduler_power = 1 +lr_warmup_steps = 0.1 +max_bucket_reso = 2048 +max_data_loader_n_workers = 0 +max_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_epochs = 10 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "/workspace/kohya_ss/img/10_Lena person/images" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-152812.toml b/config_lora-20250602-152812.toml new file mode 100644 index 0000000000000000000000000000000000000000..430ec225d4f40dffd6b6630880b18c24de2930b4 --- /dev/null +++ b/config_lora-20250602-152812.toml @@ -0,0 +1,50 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_epochs = 10 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "/workspace/kohya_ss/img/10_Lena person/images" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-152843.toml b/config_lora-20250602-152843.toml new file mode 100644 index 0000000000000000000000000000000000000000..93c3a11beaeb17dfc2242f40e4e619527f5ad276 --- /dev/null +++ b/config_lora-20250602-152843.toml @@ -0,0 +1,51 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_epochs = 10 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "stabilityai/stable-diffusion-2-base" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "/workspace/kohya_ss/img/10_Lena person/images" +unet_lr = 0.0001 +v2 = true +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-153053.toml b/config_lora-20250602-153053.toml new file mode 100644 index 0000000000000000000000000000000000000000..93484360e965cb81ce147b2003bfe2b2d675181b --- /dev/null +++ b/config_lora-20250602-153053.toml @@ -0,0 +1,51 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_epochs = 10 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "stabilityai/stable-diffusion-2-base" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "/workspace/kohya_ss/img" +unet_lr = 0.0001 +v2 = true +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-153250.toml b/config_lora-20250602-153250.toml new file mode 100644 index 0000000000000000000000000000000000000000..7211f006dcff7bd1ea99b773c58ba9cb80ba974f --- /dev/null +++ b/config_lora-20250602-153250.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-153310.toml b/config_lora-20250602-153310.toml new file mode 100644 index 0000000000000000000000000000000000000000..7211f006dcff7bd1ea99b773c58ba9cb80ba974f --- /dev/null +++ b/config_lora-20250602-153310.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-153339.toml b/config_lora-20250602-153339.toml new file mode 100644 index 0000000000000000000000000000000000000000..7211f006dcff7bd1ea99b773c58ba9cb80ba974f --- /dev/null +++ b/config_lora-20250602-153339.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "coreml-community/coreml-RealismEngineSDXL-v10_SDXL_8bit" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-153522.toml b/config_lora-20250602-153522.toml new file mode 100644 index 0000000000000000000000000000000000000000..1a39a2c21441b95985efcb78cb98ae84d5099fd0 --- /dev/null +++ b/config_lora-20250602-153522.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "AdamW8bit" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0" +prior_loss_weight = 1 +resolution = "512,512" +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/config_lora-20250602-155358.toml b/config_lora-20250602-155358.toml new file mode 100644 index 0000000000000000000000000000000000000000..2d889ded90efb25fa9802474149f8461ac6c41ff --- /dev/null +++ b/config_lora-20250602-155358.toml @@ -0,0 +1,51 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs" +output_name = "last" +pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0" +prior_loss_weight = 1 +resolution = "512,512" +sample_every_n_epochs = 1 +sample_every_n_steps = 5 +sample_prompts = "/workspace/kohya_ss/outputs/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "bf16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/img/100_Lena person/1.png b/img/100_Lena person/1.png new file mode 100644 index 0000000000000000000000000000000000000000..5605fadb6023b596a3c9ee6d67098d362e0e9b6a --- /dev/null +++ b/img/100_Lena person/1.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3fda3993bbc558363bef06ac70bbbef2c8e76da046a92aefe91a52c37ffea870 +size 500459 diff --git a/img/100_Lena person/1.txt 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+bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs/model" +output_name = "last" +pretrained_model_name_or_path = "stablediffusionapi/realism-engine-sdxl" +prior_loss_weight = 1 +resolution = "512,512" +sample_every_n_epochs = 1 +sample_every_n_steps = 5 +sample_prompts = "/workspace/kohya_ss/outputs/model/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "bf16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/model/config_lora-20250602-162717.toml b/model/config_lora-20250602-162717.toml new file mode 100644 index 0000000000000000000000000000000000000000..2a4f48c78a6825424bb278891b59e4d46b5964d1 --- /dev/null +++ b/model/config_lora-20250602-162717.toml @@ -0,0 +1,51 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 64 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +network_train_unet_only = true +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs/model" +output_name = "last" +pretrained_model_name_or_path = "./model/RealVisXL_V5.0_fp16.safetensors" +prior_loss_weight = 1 +resolution = "512,512" +sample_every_n_epochs = 1 +sample_every_n_steps = 20 +sample_prompts = "/workspace/kohya_ss/outputs/model/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/model/config_lora-20250602-162920.toml b/model/config_lora-20250602-162920.toml new file mode 100644 index 0000000000000000000000000000000000000000..5dce88e781bdf3158b3af9d71ff2c35d94949972 --- /dev/null +++ b/model/config_lora-20250602-162920.toml @@ -0,0 +1,50 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 5 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 512 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs/model" +output_name = "last" +pretrained_model_name_or_path = "./model/RealVisXL_V5.0_fp16.safetensors" +prior_loss_weight = 1 +resolution = "512,512" +sample_every_n_epochs = 1 +sample_every_n_steps = 20 +sample_prompts = "/workspace/kohya_ss/outputs/model/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [ 4.5e-5, 4.5e-5,] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/model/config_lora-20250602-163021.toml b/model/config_lora-20250602-163021.toml new file mode 100644 index 0000000000000000000000000000000000000000..1e16dffc19c10b5d4324c0dadc011e4e2b48f83a --- /dev/null +++ b/model/config_lora-20250602-163021.toml @@ -0,0 +1,50 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +epoch = 1 +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 512 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs/model" +output_name = "last" +pretrained_model_name_or_path = "./model/RealVisXL_V5.0_fp16.safetensors" +prior_loss_weight = 1 +resolution = "512,512" +sample_every_n_epochs = 1 +sample_every_n_steps = 20 +sample_prompts = "/workspace/kohya_ss/outputs/model/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [ 4.5e-5, 4.5e-5,] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/model/config_lora-20250602-163123.toml b/model/config_lora-20250602-163123.toml new file mode 100644 index 0000000000000000000000000000000000000000..571727dee7d63b3e3cc303641b78dcca062d94c5 --- /dev/null +++ b/model/config_lora-20250602-163123.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 512 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs/model" +output_name = "last" +pretrained_model_name_or_path = "./model/RealVisXL_V5.0_fp16.safetensors" +prior_loss_weight = 1 +resolution = "512,512" +sample_every_n_epochs = 1 +sample_every_n_steps = 20 +sample_prompts = "/workspace/kohya_ss/outputs/model/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [ 4.5e-5, 4.5e-5,] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/model/config_lora-20250602-163232.toml b/model/config_lora-20250602-163232.toml new file mode 100644 index 0000000000000000000000000000000000000000..571727dee7d63b3e3cc303641b78dcca062d94c5 --- /dev/null +++ b/model/config_lora-20250602-163232.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 512 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs/model" +output_name = "last" +pretrained_model_name_or_path = "./model/RealVisXL_V5.0_fp16.safetensors" +prior_loss_weight = 1 +resolution = "512,512" +sample_every_n_epochs = 1 +sample_every_n_steps = 20 +sample_prompts = "/workspace/kohya_ss/outputs/model/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [ 4.5e-5, 4.5e-5,] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/model/config_lora-20250602-163506.toml b/model/config_lora-20250602-163506.toml new file mode 100644 index 0000000000000000000000000000000000000000..45990fe35405f650d5ace30a7b7f051a2116ef6e --- /dev/null +++ b/model/config_lora-20250602-163506.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 512 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +noise_offset_type = "Original" +optimizer_args = [ "layer_lr_scale=True",] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs/model" +output_name = "last" +pretrained_model_name_or_path = "./model/RealVisXL_V5.0_fp16.safetensors" +prior_loss_weight = 1 +resolution = "512,512" +sample_every_n_epochs = 1 +sample_every_n_steps = 20 +sample_prompts = "/workspace/kohya_ss/outputs/model/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [ 4.5e-5, 4.5e-5,] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/model/config_lora-20250602-163536.toml b/model/config_lora-20250602-163536.toml new file mode 100644 index 0000000000000000000000000000000000000000..571727dee7d63b3e3cc303641b78dcca062d94c5 --- /dev/null +++ b/model/config_lora-20250602-163536.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps = 64 +cache_latents = true +caption_extension = ".txt" +clip_skip = 1 +dynamo_backend = "no" +enable_bucket = true +gradient_accumulation_steps = 1 +huber_c = 0.1 +huber_scale = 1 +huber_schedule = "snr" +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_grad_norm = 1 +max_timestep = 1000 +max_token_length = 75 +max_train_steps = 1600 +min_bucket_reso = 512 +mixed_precision = "fp16" +network_alpha = 16 +network_args = [] +network_dim = 32 +network_module = "networks.lora" +noise_offset_type = "Original" +optimizer_args = [] +optimizer_type = "DAdaptAdam" +output_dir = "/workspace/kohya_ss/outputs/model" +output_name = "last" +pretrained_model_name_or_path = "./model/RealVisXL_V5.0_fp16.safetensors" +prior_loss_weight = 1 +resolution = "512,512" +sample_every_n_epochs = 1 +sample_every_n_steps = 20 +sample_prompts = "/workspace/kohya_ss/outputs/model/sample/prompt.txt" +sample_sampler = "euler_a" +save_every_n_epochs = 1 +save_model_as = "safetensors" +save_precision = "fp16" +text_encoder_lr = [ 4.5e-5, 4.5e-5,] +train_batch_size = 4 +train_data_dir = "./img" +unet_lr = 0.0001 +wandb_run_name = "last" +xformers = true diff --git a/model/config_lora-20250602-163640.toml b/model/config_lora-20250602-163640.toml new file mode 100644 index 0000000000000000000000000000000000000000..04bb6b7357593a864ed09855840a3d6fe559b050 --- /dev/null +++ b/model/config_lora-20250602-163640.toml @@ -0,0 +1,49 @@ +bucket_no_upscale = true +bucket_reso_steps 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