fix the merge (184e6701) · Commits · github_fork / Stable Diffusion Webui

modules/textual_inversion/textual_inversion.py

+5 −9

Original line number	Diff line number	Diff line
		@@ -251,6 +251,7 @@ def validate_train_inputs(model_name, learn_rate, batch_size, gradient_step, dat
		if save_model_every or create_image_every:
		assert log_directory, "Log directory is empty"


		def create_dummy_mask(x, width=None, height=None):
		if shared.sd_model.model.conditioning_key in {'hybrid', 'concat'}:

		@@ -380,17 +381,12 @@ def train_embedding(embedding_name, learn_rate, batch_size, gradient_step, data_
		break

		with devices.autocast():
		# c = stack_conds(batch.cond).to(devices.device)
		# mask = torch.tensor(batch.emb_index).to(devices.device, non_blocking=pin_memory)
		# print(mask)
		# c[:, 1:1+embedding.vec.shape[0]] = embedding.vec.to(devices.device, non_blocking=pin_memory)

		x = batch.latent_sample.to(devices.device, non_blocking=pin_memory)
		c = shared.sd_model.cond_stage_model(batch.cond_text)

		if img_c is None:
		img_c = create_dummy_mask(c, training_width, training_height)

		x = batch.latent_sample.to(devices.device, non_blocking=pin_memory)
		c = shared.sd_model.cond_stage_model(batch.cond_text)
		cond = {"c_concat": [img_c], "c_crossattn": [c]}
		loss = shared.sd_model(x, cond)[0] / gradient_step
		del x