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This resulted from a bout of curiosity as some people claim Ia3 is the best thing since toasted bread. The result? It is an odd little thing emphasis in "Little" 218KB is comparable to a TI. You can compare against...
Source du modèle
Description de la source
Trained using prodigy and type Ia3 using the following parameters:
[general_args.args] pretrained_model_name_or_path = "D:/wifediff/stable-diffusion-webui/models/Stable-diffusion/anything-v4.5-pruned.safetensors" mixed_precision = "fp16" seed = 80085 clip_skip = 2 xformers = true max_data_loader_n_workers = 1 persistent_data_loader_workers = true max_token_length = 225 prior_loss_weight = 1.0 max_train_epochs = 8 training_comment = "Trigger: yoshizuki_iori, School_uniform_Purple_shirt_Blue_skirt_White_neckerchief_Black_thighhighs" cache_latents = true
[general_args.dataset_args] resolution = 512 batch_size = 1
[network_args.args] network_dim = 32 network_alpha = 16.0
[optimizer_args.args] optimizer_type = "Prodigy" lr_scheduler = "cosine" learning_rate = 1.0 lr_scheduler_type = "LoraEasyCustomOptimizer.CustomOptimizers.CosineAnnealingWarmupRestarts" lr_scheduler_num_cycles = 1 min_snr_gamma = 5
Sources
1 sourceArtefacts du modèle
1 artefactExtraits de sources
1 extraitSource context: 414 downloads · Type LoCon · Base model SD 1.5
[saving_args.args] output_dir = "D:/wifediff/lora/iorilora" save_precision = "fp16" save_model_as = "safetensors" output_name = "yoshizuki_ioriV4" tag_occurrence = true save_toml = true save_every_n_epochs = 1
[bucket_args.dataset_args] enable_bucket = true min_bucket_reso = 256 max_bucket_reso = 1024 bucket_reso_steps = 64
[network_args.args.network_args] conv_dim = 32 conv_alpha = 16.0 algo = "ia3"
[optimizer_args.args.lr_scheduler_args] min_lr = 1e-6 gamma = 0.9
[optimizer_args.args.optimizer_args] weight_decay = "0.01" decouple = "True" use_bias_correction = "True" safeguard_warmup = "True" d_coef = "2"
