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EveryDream2trainer/train.json

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json driven args, update run batch compensation
2023-01-03 12:27:26 -07:00
{
update windows to torch 2.1 and add attention type option
2023-11-24 14:13:01 -07:00
"attn_type": "sdp",
"batch_size": 8,
json driven args, update run batch compensation
2023-01-03 12:27:26 -07:00
"ckpt_every_n_minutes": null,
"clip_grad_norm": null,
"clip_skip": 0,
"cond_dropout": 0.04,
update ema sample args again
2023-09-18 14:12:51 -06:00
"data_root": "/mnt/q/training_samples/ff7r/man",
check if your git commit is out of date
2023-04-29 16:15:25 -06:00
"disable_amp": false,
train.json example update
2023-01-03 13:10:57 -07:00
"disable_textenc_training": false,
"flip_p": 0.0,
"gpuid": 0,
"gradient_checkpointing": true,
"grad_accum": 1,
json driven args, update run batch compensation
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"logdir": "logs",
train.json example update
2023-01-03 13:10:57 -07:00
"log_step": 25,
update windows to torch 2.1 and add attention type option
2023-11-24 14:13:01 -07:00
"max_epochs": 40,
merge
2023-01-15 20:07:37 -07:00
"notebook": false,
fix mem leak on huge data, rework optimizer to separate json, add lion optimizer
2023-02-25 13:05:22 -07:00
"optimizer_config": "optimizer.json",
train.json example update
2023-01-03 13:10:57 -07:00
"project_name": "project_abc",
"resolution": 512,
set default resume_ckpt to sd1.5
2023-09-05 16:04:05 -06:00
"resume_ckpt": "panopstor/EveryDream",
fix mem leak on huge data, rework optimizer to separate json, add lion optimizer
2023-02-25 13:05:22 -07:00
"run_name": null,
train.json example update
2023-01-03 13:10:57 -07:00
"sample_prompts": "sample_prompts.txt",
"sample_steps": 300,
json driven args, update run batch compensation
2023-01-03 12:27:26 -07:00
"save_ckpt_dir": null,
save_ckpts_from_n_epochs arg to skip early saving of ckpts
2023-02-13 10:18:33 -07:00
"save_ckpts_from_n_epochs": 0,
train.json example update
2023-01-03 13:10:57 -07:00
"save_every_n_epochs": 20,
"save_optimizer": false,
json driven args, update run batch compensation
2023-01-03 12:27:26 -07:00
"scale_lr": false,
"seed": 555,
shuffle tags arg
2023-01-06 17:12:52 -07:00
"shuffle_tags": false,
docs
2023-04-02 19:43:46 -06:00
"validation_config": "validation_default.json",
train.json example update
2023-01-03 13:10:57 -07:00
"wandb": false,
Implemented system to train on a subset of the dataset, favouring higher rated images
2023-01-14 06:00:30 -07:00
"write_schedule": false,
"rated_dataset": false,
zero frequency noise option to improve contrast
2023-02-15 16:53:08 -07:00
"rated_dataset_target_dropout_percent": 50,
1. New parameters added to train.json and trainSD21.json - disabled by default. 2. Description added to ADVANCED_TWEAKING.md
2023-09-10 11:06:50 -06:00
"zero_frequency_noise_ratio": 0.02,
1. Added AdaCoor optimizer. 2. Added pyramid noise. 3. Fixed problem with log_writer missing from EveryDreamOptimizer.
2023-11-17 07:08:43 -07:00
"pyramid_noise_discount": null,
1. New parameters added to train.json and trainSD21.json - disabled by default. 2. Description added to ADVANCED_TWEAKING.md
2023-09-10 11:06:50 -06:00
"enable_zero_terminal_snr": false,
"load_settings_every_epoch": false,
"min_snr_gamma": null,
"ema_decay_rate": null,
update ema sample args again
2023-09-18 14:12:51 -06:00
"ema_strength_target": null,
some minor updates to ema
2023-09-12 19:37:27 -06:00
"ema_update_interval": null,
"ema_device": null,
update ema sample args again
2023-09-18 14:12:51 -06:00
"ema_sample_nonema_model": false,
some minor updates to ema
2023-09-12 19:37:27 -06:00
"ema_sample_ema_model": false,
"ema_resume_model" : null
Implemented system to train on a subset of the dataset, favouring higher rated images
2023-01-14 06:00:30 -07:00
}