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LoRA2/illust/README.md

@@ -0,0 +1,6 @@
+These artists hijack the model's inherent tags, so use their artist tags along with the LoRA:
+fishine
+envenomist \(gengoroumaru\)
+
+These artists are standalone and do not need tags:
+zankuro

LoRA2/illust/artist/[DoRA] Fishine (Hirame) (artist)/artist-fishine-illust.safetensors

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LoRA2/illust/artist/[DoRA] Fishine (Hirame) (artist)/fishine-illust.toml

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+[[subsets]]
+caption_extension = ".txt"
+image_dir = "E:/pony/artist/fishine/fishine"
+name = "fishine"
+num_repeats = 1
+random_crop = true
+shuffle_caption = true
+
+[train_mode]
+train_mode = "lora"
+
+[general_args.args]
+max_data_loader_n_workers = 1
+persistent_data_loader_workers = true
+pretrained_model_name_or_path = "D:/stable-diffusion-webui-reForge/models/Stable-diffusion/Illustrious-XL-v0.1.safetensors"
+sdxl = true
+mixed_precision = "bf16"
+gradient_checkpointing = true
+seed = 56709
+max_token_length = 225
+prior_loss_weight = 1.0
+xformers = true
+training_comment = "made you look BITCH"
+max_train_epochs = 10
+gradient_accumulation_steps = 4
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+[general_args.dataset_args]
+resolution = 1024
+batch_size = 4
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+network_alpha = 12.0
+min_timestep = 0
+max_timestep = 1000
+network_train_unet_only = true
+ip_noise_gamma = 0.05
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+[optimizer_args.args]
+lr_scheduler = "cosine"
+optimizer_type = "Came"
+lr_scheduler_type = "LoraEasyCustomOptimizer.RexAnnealingWarmRestarts.RexAnnealingWarmRestarts"
+lr_scheduler_num_cycles = 1
+loss_type = "huber"
+huber_schedule = "snr"
+huber_c = 0.1
+warmup_ratio = 0.15
+scale_weight_norms = 9.0
+max_grad_norm = 1.0
+learning_rate = 7e-5
+
+[saving_args.args]
+output_dir = "E:/pony/artist/fishine/output"
+output_name = "fishine"
+save_precision = "bf16"
+save_model_as = "safetensors"
+save_every_n_epochs = 2
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+min_lr = 1e-6
+gamma = 0.9
+
+[optimizer_args.args.optimizer_args]
+weight_decay = "0.1"

LoRA2/illust/artist/[DoRA] Lokulo no Mawashimono/artist-lokulo_no_mawashimono-v2-illust.safetensors

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LoRA2/illust/artist/[DoRA] alkemanubis (artist)/artist-alkemanubis-illust.safetensors

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LoRA2/illust/artist/[DoRA] envenomist (gengoroumaru) (artist)/envenomist-illust.toml

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+[[subsets]]
+caption_extension = ".txt"
+image_dir = "E:/pony/artist/envenomist/envenomist"
+keep_tokens = 1
+name = "envenomist"
+num_repeats = 1
+random_crop = true
+shuffle_caption = true
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+[train_mode]
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+[general_args.args]
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+sdxl = true
+mixed_precision = "bf16"
+gradient_checkpointing = true
+gradient_accumulation_steps = 4
+seed = 56709
+max_token_length = 225
+prior_loss_weight = 1.0
+xformers = true
+max_train_epochs = 8
+training_comment = "made you look BITCH"
+
+[general_args.dataset_args]
+resolution = 1024
+batch_size = 4
+
+[network_args.args]
+network_dim = 16
+network_alpha = 12.0
+min_timestep = 0
+max_timestep = 1000
+network_train_unet_only = true
+ip_noise_gamma = 0.05
+
+[optimizer_args.args]
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+optimizer_type = "Came"
+lr_scheduler_type = "LoraEasyCustomOptimizer.RexAnnealingWarmRestarts.RexAnnealingWarmRestarts"
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+loss_type = "huber"
+huber_schedule = "snr"
+huber_c = 0.1
+learning_rate = 7e-5
+warmup_ratio = 0.15
+scale_weight_norms = 9.0
+max_grad_norm = 1.0
+
+[saving_args.args]
+output_dir = "E:/pony/artist/envenomist/output"
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+[bucket_args.dataset_args]
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+min_lr = 1e-6
+gamma = 0.9
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+[optimizer_args.args.optimizer_args]
+weight_decay = "0.1"

LoRA2/illust/artist/[DoRA] kikuchi milo (artist)/README.md

@@ -0,0 +1,5 @@
+230 images.
+No trigger.
+Putting "faux traditional media" in positives and "3d" in negatives can help the style.
+
+https://twitter.com/kona_milo

LoRA2/illust/artist/[DoRA] kikuchi milo (artist)/artist-kikuchi-milo-illust.safetensors

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LoRA2/illust/artist/[DoRA] kikuchi milo (artist)/kikuchi milo.toml

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+[[subsets]]
+caption_extension = ".txt"
+image_dir = "E:\\datasets\\artist\\kikuchi milo\\kikuchi milo"
+name = "kikuchi milo"
+num_repeats = 1
+random_crop = true
+shuffle_caption = true
+
+[train_mode]
+train_mode = "lora"
+
+[general_args.args]
+max_data_loader_n_workers = 1
+persistent_data_loader_workers = true
+pretrained_model_name_or_path = "D:/stable-diffusion-webui-reForge/models/Stable-diffusion/Illustrious-XL-v0.1.safetensors"
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+gradient_checkpointing = true
+gradient_accumulation_steps = 4
+seed = 56709
+max_token_length = 225
+prior_loss_weight = 1.0
+xformers = true
+training_comment = "made you look BITCH"
+max_train_epochs = 16
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+[general_args.dataset_args]
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+lr_scheduler = "cosine"
+optimizer_type = "Came"
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+huber_schedule = "snr"
+huber_c = 0.1
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+scale_weight_norms = 9.0
+max_grad_norm = 1.0
+learning_rate = 8e-5
+lr_scheduler_num_cycles = 2
+
+[saving_args.args]
+output_dir = "E:/datasets/artist/.output"
+output_name = "kikuchi-milo"
+save_precision = "bf16"
+save_model_as = "safetensors"
+save_last_n_epochs = 6
+save_every_n_epochs = 2
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+[noise_args.args]
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+multires_noise_iterations = 6
+multires_noise_discount = 0.3
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+gamma = 0.9
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+[optimizer_args.args.optimizer_args]
+betas = "0.9, 0.995, 0.99995"
+weight_decay = "0.1"

LoRA2/illust/char/[DoRA] Amanogawa Shiina/README.md

@@ -0,0 +1,5 @@
+Normal outfit: "amanogawa shiina \(main outfit\), see-through, detached sleeves, black panties, starry hair
+2nd outfit: "amanogawa shiina \(2nd outfit\), red hoodie, crab hair ornament, crab claw, hood up"
+
+2nd outfit is tagged with "badge, pin" and "crab hair ornament" where applicable so they can be negative'd out to get a cleaner gen.
+Using "starry hair" or "two-tone hair" with non-standard outfits is hit or miss. Just "blonde hair" is usually clean.

LoRA2/illust/char/[DoRA] Amanogawa Shiina/char-shiina-illust.safetensors

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LoRA2/illust/char/[DoRA] Amanogawa Shiina/shiina.toml

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+[[subsets]]
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+xformers = true
+max_train_epochs = 16
+training_comment = "made you look BITCH"
+
+[general_args.dataset_args]
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+batch_size = 4
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+[optimizer_args.args]
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+max_grad_norm = 1.0
+learning_rate = 7.5e-5
+text_encoder_lr = 2.5e-5
+
+[saving_args.args]
+output_dir = "E:/datasets/char/shiina/output"
+output_name = "amanogawa_shiina"
+save_precision = "bf16"
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+min_lr = 1e-6
+gamma = 0.9
+
+[optimizer_args.args.optimizer_args]
+weight_decay = "0.1"
+betas = "0.9, 0.999, 0.9999"

LoRA2/illust/char/[DoRA] Kisaki (Kindergarten Uniform)/char-kisaki_kindergarten-illust.safetensors

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LoRA2/illust/char/[DoRA] Kisaki (Kindergarten Uniform)/kisaki.7z

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LoRA2/illust/char/[DoRA] Pipkin Pippa+Tenma Maemi/README.md

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+50 images of each and 4 with both.
+
+questionably fit? it works, at least. pippa is already kinda known by the model, tenma barely.
+
+pippa's outfit was generally tagged "hoodie" for her hoodie and "frilled bra" for her top. use "rabbit girl".
+tenma's was tagged "hoodie, jacket" for her hoodie and "sweater" where the beige sweater is visible. use "fox girl".
+
+everything else was left up to swinv3 and god

LoRA2/illust/char/[DoRA] Pipkin Pippa+Tenma Maemi/char-pippa+tenma-illust.safetensors

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LoRA2/illust/char/[DoRA] Pipkin Pippa+Tenma Maemi/phase.toml

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+[[subsets]]
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+image_dir = "E:/datasets/char/phase/pippa"
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+name = "pippa"
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+[[subsets]]
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+name = "tenma"
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+[[subsets]]
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+image_dir = "E:/datasets/char/phase/both"
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+[general_args.args]
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+seed = 56709
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+prior_loss_weight = 1.0
+xformers = true
+training_comment = "made you look BITCH"
+max_train_epochs = 14
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+[general_args.dataset_args]
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+batch_size = 4
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+lr_scheduler_num_cycles = 2
+loss_type = "huber"
+huber_schedule = "snr"
+huber_c = 0.1
+warmup_ratio = 0.15
+scale_weight_norms = 9.0
+max_grad_norm = 1.0
+learning_rate = 7e-5
+text_encoder_lr = 3e-6
+
+[saving_args.args]
+output_dir = "E:/datasets/char/phase/output"
+output_name = "pippa-tenma"
+save_precision = "bf16"
+save_model_as = "safetensors"
+save_every_n_epochs = 2
+
+[noise_args.args]
+noise_offset = 0.0357
+multires_noise_iterations = 6
+multires_noise_discount = 0.3
+
+[bucket_args.dataset_args]
+enable_bucket = true
+min_bucket_reso = 512
+max_bucket_reso = 2048
+bucket_reso_steps = 64
+
+[network_args.args.network_args]
+conv_dim = 8
+conv_alpha = 4.0
+algo = "locon"
+dora_wd = true
+
+[optimizer_args.args.lr_scheduler_args]
+min_lr = 1e-6
+gamma = 0.9
+
+[optimizer_args.args.optimizer_args]
+weight_decay = "0.1"
+betas = "0.9, 0.999, 0.9999"

LoRA2/illust/char/[DoRA] Rock 'n' Beat Sekibanki/char-sekibanki-illust.safetensors

@@ -0,0 +1,3 @@
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+oid sha256:06a180863f1f00f01c354fa2f68cae7a87a1665864e81a1bdee30d5fed0caafc
+size 46402816