Closed Aresisok closed 7 months ago
Same
YEah... your folder structure is wrong. It need to be like:
C:/Users/Admin/Downloads/New folder (42)/30_my dataset
And the images go in the 30_my dataset folder
.
30
mean 30 repeats of all images on the folder.
my dataset
is the token and class name that will be used if you don't have .caption or .txt files in the folder to caption each images
Same issue.And making similar folder structure didn't helped (C:\Users\impos\Downloads\New Folder (1)\1_image of Cat Cat*) Inside folder two test files - (1).png (1).txt
Png is 512512 Other settings by default , except Epoch (100), Optimizer(Lion8Bit) and Noise Offset(0,1) Folder made by "Prepare training data" GUI , and no , changing to "30_my dataset folder" doesn't helps.
Helped clean reinstall.After that got similar error but with tip before it , it suggested to go in docs folder inside kohya_ss and read "image_folder_structure.md"(Notepad++ works with this file extension). After that my image folder structure looks like this - C:\images\1_cat And in Dreambooth GUI this needs to be selected like C:\images
when i train i get this: "No [] were found in train_data_dir can't train..." i have images in my new folder 42, they are named (1).png, (2).png, ect i try renaming images but same error settings { "pretrained_model_name_or_path": "G:/Delta/stable-diffusion-webui/models/Stable-diffusion/2Mixsjt.ckpt", "v2": true, "v_parameterization": false, "logging_dir": "", "train_data_dir": "C:/Users/Admin/Downloads/New folder (42)", "reg_data_dir": "", "output_dir": "G:/Delta/stable-diffusion-webui/models/Stable-diffusion", "max_resolution": "768,768", "learning_rate": 1e-05, "lr_scheduler": "cosine", "lr_warmup": "10", "train_batch_size": 1, "epoch": 100, "save_every_n_epochs": 1, "mixed_precision": "fp16", "save_precision": "fp16", "seed": "", "num_cpu_threads_per_process": 2, "cache_latents": true, "cache_latents_to_disk": false, "caption_extension": "", "enable_bucket": true, "gradient_checkpointing": false, "full_fp16": false, "no_token_padding": false, "stop_text_encoder_training": 0, "xformers": true, "save_model_as": "safetensors", "shuffle_caption": true, "save_state": false, "resume": "", "prior_loss_weight": 1.0, "color_aug": false, "flip_aug": false, "clip_skip": "1", "vae": "", "output_name": "luuuubi", "max_token_length": "75", "max_train_epochs": "", "max_data_loader_n_workers": "0", "mem_eff_attn": false, "gradient_accumulation_steps": 1.0, "model_list": "custom", "keep_tokens": "0", "persistent_data_loader_workers": false, "bucket_no_upscale": true, "random_crop": false, "bucket_reso_steps": 64.0, "caption_dropout_every_n_epochs": 0.0, "caption_dropout_rate": 0, "optimizer": "AdamW8bit", "optimizer_args": "", "noise_offset_type": "Original", "noise_offset": 0.02, "adaptive_noise_scale": 0, "multires_noise_iterations": 0, "multires_noise_discount": 0, "sample_every_n_steps": 0, "sample_every_n_epochs": 0, "sample_sampler": "euler_a", "sample_prompts": "", "additional_parameters": "", "vae_batch_size": 0, "min_snr_gamma": 0, "weighted_captions": false, "save_every_n_steps": 0, "save_last_n_steps": 0, "save_last_n_steps_state": 0, "use_wandb": false, "wandb_api_key": "" }