new training and models interface

This commit is contained in:
Vladimir Mandic
2023-06-22 07:46:48 -04:00
parent c02ccc4f00
commit 9740b9d217
25 changed files with 844 additions and 549 deletions
+3 -3
View File
@@ -488,8 +488,8 @@ def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None,
dropout_structure=dropout_structure
)
hypernet.save(fn)
shared.reload_hypernetworks()
return name
def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradient_step, data_root, log_directory, training_width, training_height, varsize, steps, clip_grad_mode, clip_grad_value, shuffle_tags, tag_drop_out, latent_sampling_method, use_weight, create_image_every, save_hypernetwork_every, template_filename, preview_from_txt2img, preview_prompt, preview_negative_prompt, preview_steps, preview_sampler_index, preview_cfg_scale, preview_seed, preview_width, preview_height):
@@ -609,7 +609,7 @@ def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradi
# previous_mean_loss = 0
# print("Mean loss of {} elements".format(size))
steps_without_grad = 0
_steps_without_grad = 0
last_saved_file = "<none>"
last_saved_image = "<none>"
@@ -756,7 +756,7 @@ def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradi
textual_inversion.tensorboard_add_image(tensorboard_writer,
f"Validation at epoch {epoch_num}", image,
hypernetwork.step)
last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
last_saved_image, _last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
last_saved_image += f", prompt: {preview_text}"
shared.state.job_no = hypernetwork.step