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-rw-r--r--launch.py4
-rw-r--r--modules/generation_parameters_copypaste.py3
-rw-r--r--modules/images.py51
-rw-r--r--modules/shared.py1
-rw-r--r--scripts/prompt_matrix.py7
-rw-r--r--scripts/sd_upscale.py15
6 files changed, 45 insertions, 36 deletions
diff --git a/launch.py b/launch.py
index 0e1bbaf2..af0d418b 100644
--- a/launch.py
+++ b/launch.py
@@ -157,7 +157,7 @@ def run_extensions_installers(settings_file):
run_extension_installer(os.path.join(dir_extensions, dirname_extension))
-def prepare_enviroment():
+def prepare_environment():
torch_command = os.environ.get('TORCH_COMMAND', "pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113")
requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
commandline_args = os.environ.get('COMMANDLINE_ARGS', "")
@@ -291,5 +291,5 @@ def start():
if __name__ == "__main__":
- prepare_enviroment()
+ prepare_environment()
start()
diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py
index 53f34b0a..565e342d 100644
--- a/modules/generation_parameters_copypaste.py
+++ b/modules/generation_parameters_copypaste.py
@@ -122,8 +122,7 @@ def run_bind():
if send_generate_info and paste_fields[tab]["fields"] is not None:
if send_generate_info in paste_fields:
- paste_field_names = ['Prompt', 'Negative prompt', 'Steps', 'Face restoration', 'Size-1', 'Size-2'] + (["Seed"] if shared.opts.send_seed else [])
-
+ paste_field_names = ['Prompt', 'Negative prompt', 'Steps', 'Face restoration'] + (['Size-1', 'Size-2'] if shared.opts.send_size else []) + (["Seed"] if shared.opts.send_seed else [])
button.click(
fn=lambda *x: x,
inputs=[field for field, name in paste_fields[send_generate_info]["fields"] if name in paste_field_names],
diff --git a/modules/images.py b/modules/images.py
index 08a72e67..8146f580 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -501,30 +501,39 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
image = params.image
fullfn = params.filename
info = params.pnginfo.get(pnginfo_section_name, None)
- fullfn_without_extension, extension = os.path.splitext(params.filename)
- def exif_bytes():
- return piexif.dump({
- "Exif": {
- piexif.ExifIFD.UserComment: piexif.helper.UserComment.dump(info or "", encoding="unicode")
- },
- })
+ def _atomically_save_image(image_to_save, filename_without_extension, extension):
+ # save image with .tmp extension to avoid race condition when another process detects new image in the directory
+ temp_file_path = filename_without_extension + ".tmp"
+ image_format = Image.registered_extensions()[extension]
- if extension.lower() == '.png':
- pnginfo_data = PngImagePlugin.PngInfo()
- if opts.enable_pnginfo:
- for k, v in params.pnginfo.items():
- pnginfo_data.add_text(k, str(v))
+ if extension.lower() == '.png':
+ pnginfo_data = PngImagePlugin.PngInfo()
+ if opts.enable_pnginfo:
+ for k, v in params.pnginfo.items():
+ pnginfo_data.add_text(k, str(v))
- image.save(fullfn, quality=opts.jpeg_quality, pnginfo=pnginfo_data)
+ image_to_save.save(temp_file_path, format=image_format, quality=opts.jpeg_quality, pnginfo=pnginfo_data)
- elif extension.lower() in (".jpg", ".jpeg", ".webp"):
- image.save(fullfn, quality=opts.jpeg_quality)
+ elif extension.lower() in (".jpg", ".jpeg", ".webp"):
+ image_to_save.save(temp_file_path, format=image_format, quality=opts.jpeg_quality)
- if opts.enable_pnginfo and info is not None:
- piexif.insert(exif_bytes(), fullfn)
- else:
- image.save(fullfn, quality=opts.jpeg_quality)
+ if opts.enable_pnginfo and info is not None:
+ exif_bytes = piexif.dump({
+ "Exif": {
+ piexif.ExifIFD.UserComment: piexif.helper.UserComment.dump(info or "", encoding="unicode")
+ },
+ })
+
+ piexif.insert(exif_bytes, temp_file_path)
+ else:
+ image_to_save.save(temp_file_path, format=image_format, quality=opts.jpeg_quality)
+
+ # atomically rename the file with correct extension
+ os.replace(temp_file_path, filename_without_extension + extension)
+
+ fullfn_without_extension, extension = os.path.splitext(params.filename)
+ _atomically_save_image(image, fullfn_without_extension, extension)
image.already_saved_as = fullfn
@@ -538,9 +547,7 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
elif oversize:
image = image.resize((image.width * target_side_length // image.height, target_side_length), LANCZOS)
- image.save(fullfn_without_extension + ".jpg", quality=opts.jpeg_quality)
- if opts.enable_pnginfo and info is not None:
- piexif.insert(exif_bytes(), fullfn_without_extension + ".jpg")
+ _atomically_save_image(image, fullfn_without_extension, ".jpg")
if opts.save_txt and info is not None:
txt_fullfn = f"{fullfn_without_extension}.txt"
diff --git a/modules/shared.py b/modules/shared.py
index f53c3303..4223c017 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -396,6 +396,7 @@ options_templates.update(options_section(('ui', "User interface"), {
"add_model_name_to_info": OptionInfo(False, "Add model name to generation information"),
"disable_weights_auto_swap": OptionInfo(False, "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint."),
"send_seed": OptionInfo(True, "Send seed when sending prompt or image to other interface"),
+ "send_size": OptionInfo(True, "Send size when sending prompt or image to another interface"),
"font": OptionInfo("", "Font for image grids that have text"),
"js_modal_lightbox": OptionInfo(True, "Enable full page image viewer"),
"js_modal_lightbox_initially_zoomed": OptionInfo(True, "Show images zoomed in by default in full page image viewer"),
diff --git a/scripts/prompt_matrix.py b/scripts/prompt_matrix.py
index 5fd952e9..c53ca28c 100644
--- a/scripts/prompt_matrix.py
+++ b/scripts/prompt_matrix.py
@@ -46,10 +46,11 @@ class Script(scripts.Script):
def ui(self, is_img2img):
put_at_start = gr.Checkbox(label='Put variable parts at start of prompt', value=False)
+ different_seeds = gr.Checkbox(label='Use different seed for each picture', value=False)
- return [put_at_start]
+ return [put_at_start, different_seeds]
- def run(self, p, put_at_start):
+ def run(self, p, put_at_start, different_seeds):
modules.processing.fix_seed(p)
original_prompt = p.prompt[0] if type(p.prompt) == list else p.prompt
@@ -73,7 +74,7 @@ class Script(scripts.Script):
print(f"Prompt matrix will create {len(all_prompts)} images using a total of {p.n_iter} batches.")
p.prompt = all_prompts
- p.seed = [p.seed for _ in all_prompts]
+ p.seed = [p.seed + (i if different_seeds else 0) for i in range(len(all_prompts))]
p.prompt_for_display = original_prompt
processed = process_images(p)
diff --git a/scripts/sd_upscale.py b/scripts/sd_upscale.py
index 01074291..28bd96b3 100644
--- a/scripts/sd_upscale.py
+++ b/scripts/sd_upscale.py
@@ -17,13 +17,14 @@ class Script(scripts.Script):
return is_img2img
def ui(self, is_img2img):
- info = gr.HTML("<p style=\"margin-bottom:0.75em\">Will upscale the image to twice the dimensions; use width and height sliders to set tile size</p>")
+ info = gr.HTML("<p style=\"margin-bottom:0.75em\">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>")
overlap = gr.Slider(minimum=0, maximum=256, step=16, label='Tile overlap', value=64)
+ scale_factor = gr.Slider(minimum=1, maximum=4, step=1, label='Scale Factor', value=2)
upscaler_index = gr.Radio(label='Upscaler', choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
- return [info, overlap, upscaler_index]
+ return [info, overlap, upscaler_index, scale_factor]
- def run(self, p, _, overlap, upscaler_index):
+ def run(self, p, _, overlap, upscaler_index, scale_factor):
processing.fix_seed(p)
upscaler = shared.sd_upscalers[upscaler_index]
@@ -34,9 +35,9 @@ class Script(scripts.Script):
seed = p.seed
init_img = p.init_images[0]
-
- if(upscaler.name != "None"):
- img = upscaler.scaler.upscale(init_img, 2, upscaler.data_path)
+
+ if (upscaler.name != "None"):
+ img = upscaler.scaler.upscale(init_img, scale_factor, upscaler.data_path)
else:
img = init_img
@@ -69,7 +70,7 @@ class Script(scripts.Script):
work_results = []
for i in range(batch_count):
p.batch_size = batch_size
- p.init_images = work[i*batch_size:(i+1)*batch_size]
+ p.init_images = work[i * batch_size:(i + 1) * batch_size]
state.job = f"Batch {i + 1 + n * batch_count} out of {state.job_count}"
processed = processing.process_images(p)
generated by cgit v1.2.1 (git 2.18.0) at 2024-09-20 11:36:52 +0000