Merge pull request #11201 from akx/ruff-upg (d4f9250c) · Commits · github_fork / Stable Diffusion Webui

.github/workflows/on_pull_request.yaml

+1 −1

Original line number	Diff line number	Diff line
		@@ -18,7 +18,7 @@ jobs:
		# not to have GHA download an (at the time of writing) 4 GB cache
		# of PyTorch and other dependencies.
		- name: Install Ruff
		run: pip install ruff==0.0.265
		run: pip install ruff==0.0.272
		- name: Run Ruff
		run: ruff .
		lint-js:

modules/textual_inversion/logging.py

+44 −4

Original line number	Diff line number	Diff line
		@@ -2,11 +2,51 @@ import datetime
		import json
		import os

		saved_params_shared = {"model_name", "model_hash", "initial_step", "num_of_dataset_images", "learn_rate", "batch_size", "clip_grad_mode", "clip_grad_value", "gradient_step", "data_root", "log_directory", "training_width", "training_height", "steps", "create_image_every", "template_file", "gradient_step", "latent_sampling_method"}
		saved_params_ti = {"embedding_name", "num_vectors_per_token", "save_embedding_every", "save_image_with_stored_embedding"}
		saved_params_hypernet = {"hypernetwork_name", "layer_structure", "activation_func", "weight_init", "add_layer_norm", "use_dropout", "save_hypernetwork_every"}
		saved_params_shared = {
		"batch_size",
		"clip_grad_mode",
		"clip_grad_value",
		"create_image_every",
		"data_root",
		"gradient_step",
		"initial_step",
		"latent_sampling_method",
		"learn_rate",
		"log_directory",
		"model_hash",
		"model_name",
		"num_of_dataset_images",
		"steps",
		"template_file",
		"training_height",
		"training_width",
		}
		saved_params_ti = {
		"embedding_name",
		"num_vectors_per_token",
		"save_embedding_every",
		"save_image_with_stored_embedding",
		}
		saved_params_hypernet = {
		"activation_func",
		"add_layer_norm",
		"hypernetwork_name",
		"layer_structure",
		"save_hypernetwork_every",
		"use_dropout",
		"weight_init",
		}
		saved_params_all = saved_params_shared \| saved_params_ti \| saved_params_hypernet
		saved_params_previews = {"preview_prompt", "preview_negative_prompt", "preview_steps", "preview_sampler_index", "preview_cfg_scale", "preview_seed", "preview_width", "preview_height"}
		saved_params_previews = {
		"preview_cfg_scale",
		"preview_height",
		"preview_negative_prompt",
		"preview_prompt",
		"preview_sampler_index",
		"preview_seed",
		"preview_steps",
		"preview_width",
		}


		def save_settings_to_file(log_directory, all_params):

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