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-rw-r--r--modules/hypernetworks/hypernetwork.py6
-rw-r--r--modules/img2img.py20
-rw-r--r--modules/textual_inversion/textual_inversion.py6
-rw-r--r--modules/txt2img.py11
4 files changed, 24 insertions, 19 deletions
diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 51941c11..79670b87 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -3,6 +3,7 @@ import glob
import html
import os
import inspect
+from contextlib import closing
import modules.textual_inversion.dataset
import torch
@@ -711,8 +712,9 @@ def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradi
preview_text = p.prompt
- processed = processing.process_images(p)
- image = processed.images[0] if len(processed.images) > 0 else None
+ with closing(p):
+ processed = processing.process_images(p)
+ image = processed.images[0] if len(processed.images) > 0 else None
if unload:
shared.sd_model.cond_stage_model.to(devices.cpu)
diff --git a/modules/img2img.py b/modules/img2img.py
index ef87eb0f..4d9a02cc 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -1,4 +1,5 @@
import os
+from contextlib import closing
from pathlib import Path
import numpy as np
@@ -217,18 +218,17 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
if mask:
p.extra_generation_params["Mask blur"] = mask_blur
- if is_batch:
- assert not shared.cmd_opts.hide_ui_dir_config, "Launched with --hide-ui-dir-config, batch img2img disabled"
+ with closing(p):
+ if is_batch:
+ assert not shared.cmd_opts.hide_ui_dir_config, "Launched with --hide-ui-dir-config, batch img2img disabled"
- process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by, use_png_info=img2img_batch_use_png_info, png_info_props=img2img_batch_png_info_props, png_info_dir=img2img_batch_png_info_dir)
+ process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by, use_png_info=img2img_batch_use_png_info, png_info_props=img2img_batch_png_info_props, png_info_dir=img2img_batch_png_info_dir)
- processed = Processed(p, [], p.seed, "")
- else:
- processed = modules.scripts.scripts_img2img.run(p, *args)
- if processed is None:
- processed = process_images(p)
-
- p.close()
+ processed = Processed(p, [], p.seed, "")
+ else:
+ processed = modules.scripts.scripts_img2img.run(p, *args)
+ if processed is None:
+ processed = process_images(p)
shared.total_tqdm.clear()
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index bb6f211c..cbe975b7 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -1,5 +1,6 @@
import os
from collections import namedtuple
+from contextlib import closing
import torch
import tqdm
@@ -584,8 +585,9 @@ def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_st
preview_text = p.prompt
- processed = processing.process_images(p)
- image = processed.images[0] if len(processed.images) > 0 else None
+ with closing(p):
+ processed = processing.process_images(p)
+ image = processed.images[0] if len(processed.images) > 0 else None
if unload:
shared.sd_model.first_stage_model.to(devices.cpu)
diff --git a/modules/txt2img.py b/modules/txt2img.py
index 6aa79f23..d0be2e73 100644
--- a/modules/txt2img.py
+++ b/modules/txt2img.py
@@ -1,3 +1,5 @@
+from contextlib import closing
+
import modules.scripts
from modules import sd_samplers, processing
from modules.generation_parameters_copypaste import create_override_settings_dict
@@ -53,12 +55,11 @@ def txt2img(id_task: str, prompt: str, negative_prompt: str, prompt_styles, step
if cmd_opts.enable_console_prompts:
print(f"\ntxt2img: {prompt}", file=shared.progress_print_out)
- processed = modules.scripts.scripts_txt2img.run(p, *args)
-
- if processed is None:
- processed = processing.process_images(p)
+ with closing(p):
+ processed = modules.scripts.scripts_txt2img.run(p, *args)
- p.close()
+ if processed is None:
+ processed = processing.process_images(p)
shared.total_tqdm.clear()