Commit 910d4f61 authored by AUTOMATIC1111's avatar AUTOMATIC1111 Committed by GitHub

Merge pull request #11720 from akx/closing

Use closing() with processing classes everywhere
parents bcb6ad5f 44c27ebc
...@@ -3,6 +3,7 @@ import glob ...@@ -3,6 +3,7 @@ import glob
import html import html
import os import os
import inspect import inspect
from contextlib import closing
import modules.textual_inversion.dataset import modules.textual_inversion.dataset
import torch import torch
...@@ -711,6 +712,7 @@ def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradi ...@@ -711,6 +712,7 @@ def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradi
preview_text = p.prompt preview_text = p.prompt
with closing(p):
processed = processing.process_images(p) processed = processing.process_images(p)
image = processed.images[0] if len(processed.images) > 0 else None image = processed.images[0] if len(processed.images) > 0 else None
......
import os import os
from contextlib import closing
from pathlib import Path from pathlib import Path
import numpy as np import numpy as np
...@@ -217,6 +218,7 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s ...@@ -217,6 +218,7 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
if mask: if mask:
p.extra_generation_params["Mask blur"] = mask_blur p.extra_generation_params["Mask blur"] = mask_blur
with closing(p):
if is_batch: if is_batch:
assert not shared.cmd_opts.hide_ui_dir_config, "Launched with --hide-ui-dir-config, batch img2img disabled" assert not shared.cmd_opts.hide_ui_dir_config, "Launched with --hide-ui-dir-config, batch img2img disabled"
...@@ -228,8 +230,6 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s ...@@ -228,8 +230,6 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
if processed is None: if processed is None:
processed = process_images(p) processed = process_images(p)
p.close()
shared.total_tqdm.clear() shared.total_tqdm.clear()
generation_info_js = processed.js() generation_info_js = processed.js()
......
import os import os
from collections import namedtuple from collections import namedtuple
from contextlib import closing
import torch import torch
import tqdm import tqdm
...@@ -584,6 +585,7 @@ def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_st ...@@ -584,6 +585,7 @@ def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_st
preview_text = p.prompt preview_text = p.prompt
with closing(p):
processed = processing.process_images(p) processed = processing.process_images(p)
image = processed.images[0] if len(processed.images) > 0 else None image = processed.images[0] if len(processed.images) > 0 else None
......
from contextlib import closing
import modules.scripts import modules.scripts
from modules import sd_samplers, processing from modules import sd_samplers, processing
from modules.generation_parameters_copypaste import create_override_settings_dict from modules.generation_parameters_copypaste import create_override_settings_dict
...@@ -53,13 +55,12 @@ def txt2img(id_task: str, prompt: str, negative_prompt: str, prompt_styles, step ...@@ -53,13 +55,12 @@ def txt2img(id_task: str, prompt: str, negative_prompt: str, prompt_styles, step
if cmd_opts.enable_console_prompts: if cmd_opts.enable_console_prompts:
print(f"\ntxt2img: {prompt}", file=shared.progress_print_out) print(f"\ntxt2img: {prompt}", file=shared.progress_print_out)
with closing(p):
processed = modules.scripts.scripts_txt2img.run(p, *args) processed = modules.scripts.scripts_txt2img.run(p, *args)
if processed is None: if processed is None:
processed = processing.process_images(p) processed = processing.process_images(p)
p.close()
shared.total_tqdm.clear() shared.total_tqdm.clear()
generation_info_js = processed.js() generation_info_js = processed.js()
......
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