update ema sample args again

doc/ADVANCED_TWEAKING.md

@@ -233,7 +233,7 @@ For more information, consult the [research paper](https://arxiv.org/abs/2101.08
 - `--ema_strength_target`: Set the EMA strength target value within the (0,1) range. The `ema_decay_rate` is computed based on the relation: decay_rate to the power of (total_steps/decay_interval) equals decay_target. Enabling this parameter will override `ema_decay_rate` and will enable EMA feature. See [ema_strength_target](#ema_strength_target) for more information.
 - `--ema_update_interval`: Set the interval in steps between EMA updates. The update occurs at each optimizer step.  If you use grad_accum, actual update interval will be multipled by your grad_accum value.
 - `--ema_device`: Choose between `cpu` and `cuda` for EMA. Opting for 'cpu' takes around 4 seconds per update and uses approximately 3.2GB RAM, while 'cuda' is much faster but requires a similar amount of VRAM.
-- `--ema_sample_raw_training`: Activate to display samples from the trained model, mirroring conventional training. They will not be presented by default with EMA decay enabled.
+- `--ema_sample_nonema_model`: Activate to display samples from the non-ema trained model, mirroring conventional training. They will not be presented by default with EMA decay enabled.
 - `--ema_sample_ema_model`: Turn on to exhibit samples from the EMA model. EMA models will be used for samples generations by default with EMA decay enabled, unless disabled.
 - `--ema_resume_model`: Indicate the EMA decay checkpoint to continue from, working like `--resume_ckpt` but will load EMA model. Using `findlast` will only load EMA version and not regular training.
 

train.json

@@ -4,7 +4,7 @@
   "clip_grad_norm": null,
   "clip_skip": 0,
   "cond_dropout": 0.04,
-  "data_root": "X:\\my_project_data\\project_abc",
+  "data_root": "/mnt/q/training_samples/ff7r/man",
   "disable_amp": false,
   "disable_textenc_training": false,
   "disable_xformers": false,
@@ -19,7 +19,7 @@
   "lr_decay_steps": 0,
   "lr_scheduler": "constant",
   "lr_warmup_steps": null,
-  "max_epochs": 30,
+  "max_epochs": 1,
   "notebook": false,
   "optimizer_config": "optimizer.json",
   "project_name": "project_abc",
@@ -45,10 +45,10 @@
   "load_settings_every_epoch": false,
   "min_snr_gamma": null,
   "ema_decay_rate": null,
-  "ema_decay_target": null,
+  "ema_strength_target": null,
   "ema_update_interval": null,
   "ema_device": null,
-  "ema_sample_raw_training": false,
+  "ema_sample_nonema_model": false,
   "ema_sample_ema_model": false,
   "ema_resume_model" : null
 }

trainSD21.json

@@ -47,7 +47,7 @@
   "ema_strength_target": null,
   "ema_update_interval": null,
   "ema_device": null,
-  "ema_sample_raw_training": false,
+  "ema_sample_nonema_model": false,
   "ema_sample_ema_model": false,
   "ema_resume_model" : null
 }