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int64 0 0 | multi_gpu bool 1 class | multires_noise_discount float64 0.3 0.3 | multires_noise_iterations int64 0 0 | network_alpha int64 32 32 | network_dim int64 64 64 | network_dropout int64 0 0 | network_weights stringclasses 1 value | noise_offset int64 0 0 | noise_offset_random_strength bool 1 class | noise_offset_type stringclasses 1 value | num_cpu_threads_per_process int64 2 2 | num_machines int64 1 1 | num_processes int64 1 1 | optimizer stringclasses 1 value | optimizer_args stringclasses 1 value | output_dir stringclasses 1 value | output_name stringclasses 1 value | persistent_data_loader_workers bool 1 class | pretrained_model_name_or_path stringclasses 1 value | prior_loss_weight int64 1 1 | random_crop bool 1 class | rank_dropout int64 0 0 | rank_dropout_scale bool 1 class | reg_data_dir stringclasses 1 value | rescaled bool 1 class | resume stringclasses 1 value | resume_from_huggingface stringclasses 1 value | sample_every_n_epochs int64 0 0 | sample_every_n_steps 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bool 1 class | use_tucker bool 1 class | v2 bool 1 class | v_parameterization bool 1 class | v_pred_like_loss int64 0 0 | vae stringclasses 1 value | vae_batch_size int64 0 0 | wandb_api_key stringclasses 1 value | wandb_run_name stringclasses 1 value | weighted_captions bool 1 class | xformers stringclasses 1 value |
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Standard | full | 0 | false | true | 64 | false | true | false | 0 | 0 | .txt | 1 | false | 0 | 1 | 1 | false | false | false | false | no | default | false | false | true | 100 | -1 | false | false | false | false | 1 | false | 0.1 | snr | 0 | false | 0 | 0.0001 | l2 | cosine | 1 | 1 | 10 | 0 | false | 2,048 | 0 | 1 | 512,512 | 1,000 | 75 | 0 | 1,600 | false | 256 | 0 | 0 | fp16 | 0 | false | 0.3 | 0 | 32 | 64 | 0 | 0 | false | Original | 2 | 1 | 1 | AdamW8bit | /workspace/kohya_ss/outputs | wpt | false | /workspace/kohya_ss/models/deliberate_v6.safetensors | 1 | false | 0 | false | false | 0 | 0 | euler_a | false | 1 | 0 | 0 | 0 | safetensors | fp16 | false | false | false | false | 0 | false | false | false | 0 | false | 0 | 0.0001 | 1 | /workspace/kohya_ss/dataset/images/ | false | true | 0.0001 | 1 | false | false | false | false | false | 0 | 0 | false | xformers | ||||||||||||||||||||||||||||||||||||||
Standard | full | 0 | false | true | 64 | false | true | false | 0 | 0 | .txt | 1 | false | 0 | 1 | 1 | false | false | false | false | no | default | false | false | true | 100 | -1 | false | false | false | false | 1 | false | 0.1 | snr | 0 | false | 0 | 0.0001 | l2 | cosine | 1 | 1 | 10 | 0 | false | 2,048 | 0 | 1 | 512,512 | 1,000 | 75 | 0 | 1,600 | false | 256 | 0 | 0 | fp16 | 0 | false | 0.3 | 0 | 32 | 64 | 0 | 0 | false | Original | 2 | 1 | 1 | AdamW8bit | /workspace/kohya_ss/outputs | wpt | false | /workspace/kohya_ss/models/deliberate_v6.safetensors | 1 | false | 0 | false | false | 0 | 0 | euler_a | false | 1 | 0 | 0 | 0 | safetensors | fp16 | false | false | false | false | 0 | false | false | false | 0 | false | 0 | 0.0001 | 1 | /workspace/kohya_ss/dataset/images/ | false | true | 0.0001 | 1 | false | false | false | false | false | 0 | 0 | false | xformers |
Hi, community!
I'm a newcomer to model creation and LoRA fine-tuning. My goal is to create a model that can generate realistic images of tennis players in action. I've already made about 10 attempts to train a LoRA using a dataset I collected myself. I've tried different settings and parameters during the training, but unfortunately, I haven't yet achieved the desired results.
I understand that creating a quality model is not always easy and takes time and experience. I'm here to learn and to get advice from more experienced community members. I would appreciate any recommendations or feedback on my approach. I want to learn how to do it right and hopefully, I'll be able to achieve my goal.
If anyone can share their thoughts on what I could change or improve in my process, I would be very grateful!
Thanks for your attention and support.
RU
Привет, сообщество!
Я совсем недавно начал заниматься созданием моделей и дообучением LoRA. Моя цель — создать модель, которая сможет генерировать реалистичные изображения теннисисток во время игры. Я уже провел около 10 попыток тренировки LoRA с использованием набора данных, который я собрал сам. В процессе обучения я использовал различные настройки и параметры, но, к сожалению, пока что не получил желаемого результата.
Понимаю, что путь создания качественной модели не всегда прост и требует времени и опыта. Я здесь, чтобы учиться и получать советы от более опытных участников сообщества. Буду благодарен за любые рекомендации или критику по моему подходу. Хочу научиться делать это правильно и, надеюсь, смогу добиться результата.
Если кто-то может поделиться своими мыслями о том, что я мог бы изменить или улучшить в своем процессе, я буду очень признателен!
Спасибо за ваше внимание и поддержку.
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