diff options
Diffstat (limited to 'modules')
| -rw-r--r-- | modules/processing.py | 9 | ||||
| -rw-r--r-- | modules/shared.py | 2 | ||||
| -rw-r--r-- | modules/ui.py | 16 |
3 files changed, 18 insertions, 9 deletions
diff --git a/modules/processing.py b/modules/processing.py index 90e00bf8..e6b84684 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -100,7 +100,7 @@ class StableDiffusionProcessing: class Processed:
- def __init__(self, p: StableDiffusionProcessing, images_list, seed=-1, info="", subseed=None, all_prompts=None, all_seeds=None, all_subseeds=None, index_of_first_image=0):
+ def __init__(self, p: StableDiffusionProcessing, images_list, seed=-1, info="", subseed=None, all_prompts=None, all_seeds=None, all_subseeds=None, index_of_first_image=0, infotexts=None):
self.images = images_list
self.prompt = p.prompt
self.negative_prompt = p.negative_prompt
@@ -139,6 +139,7 @@ class Processed: self.all_prompts = all_prompts or [self.prompt]
self.all_seeds = all_seeds or [self.seed]
self.all_subseeds = all_subseeds or [self.subseed]
+ self.infotexts = infotexts or [info]
def js(self):
obj = {
@@ -165,6 +166,7 @@ class Processed: "denoising_strength": self.denoising_strength,
"extra_generation_params": self.extra_generation_params,
"index_of_first_image": self.index_of_first_image,
+ "infotexts": self.infotexts,
}
return json.dumps(obj)
@@ -322,6 +324,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed: if os.path.exists(cmd_opts.embeddings_dir):
model_hijack.load_textual_inversion_embeddings(cmd_opts.embeddings_dir, p.sd_model)
+ infotexts = []
output_images = []
precision_scope = torch.autocast if cmd_opts.precision == "autocast" else contextlib.nullcontext
ema_scope = (contextlib.nullcontext if cmd_opts.lowvram else p.sd_model.ema_scope)
@@ -404,6 +407,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed: if opts.samples_save and not p.do_not_save_samples:
images.save_image(image, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p)
+ infotexts.append(infotext(n, i))
output_images.append(image)
state.nextjob()
@@ -416,6 +420,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed: grid = images.image_grid(output_images, p.batch_size)
if opts.return_grid:
+ infotexts.insert(0, infotext())
output_images.insert(0, grid)
index_of_first_image = 1
@@ -423,7 +428,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed: images.save_image(grid, p.outpath_grids, "grid", all_seeds[0], all_prompts[0], opts.grid_format, info=infotext(), short_filename=not opts.grid_extended_filename, p=p, grid=True)
devices.torch_gc()
- return Processed(p, output_images, all_seeds[0], infotext(), subseed=all_subseeds[0], all_prompts=all_prompts, all_seeds=all_seeds, all_subseeds=all_subseeds, index_of_first_image=index_of_first_image)
+ return Processed(p, output_images, all_seeds[0], infotext(), subseed=all_subseeds[0], all_prompts=all_prompts, all_seeds=all_seeds, all_subseeds=all_subseeds, index_of_first_image=index_of_first_image, infotexts=infotexts)
class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
diff --git a/modules/shared.py b/modules/shared.py index 2502fe2d..ae459e14 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -143,6 +143,7 @@ options_templates.update(options_section(('saving-images', "Saving images/grids" "export_for_4chan": OptionInfo(True, "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG"),
"use_original_name_batch": OptionInfo(False, "Use original name for output filename during batch process in extras tab"),
+ "save_selected_only": OptionInfo(True, "When using 'Save' button, only save a single selected image"),
}))
options_templates.update(options_section(('saving-paths', "Paths for saving"), {
@@ -180,7 +181,6 @@ options_templates.update(options_section(('face-restoration', "Face restoration" "face_restoration_model": OptionInfo(None, "Face restoration model", gr.Radio, lambda: {"choices": [x.name() for x in face_restorers]}),
"code_former_weight": OptionInfo(0.5, "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),
"face_restoration_unload": OptionInfo(False, "Move face restoration model from VRAM into RAM after processing"),
- "save_selected_only": OptionInfo(False, "When using 'Save' button, only save a single selected image"),
}))
options_templates.update(options_section(('system', "System"), {
diff --git a/modules/ui.py b/modules/ui.py index 7db8edbd..484be762 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -12,7 +12,7 @@ import traceback import numpy as np
import torch
-from PIL import Image
+from PIL import Image, PngImagePlugin
import gradio as gr
import gradio.utils
@@ -97,10 +97,11 @@ def save_files(js_data, images, index): filenames = []
data = json.loads(js_data)
-
- if index > -1 and opts.save_selected_only and (index > 0 or not opts.return_grid): # ensures we are looking at a specific non-grid picture, and we have save_selected_only
+ if index > -1 and opts.save_selected_only and (index >= data["index_of_first_image"]): # ensures we are looking at a specific non-grid picture, and we have save_selected_only
images = [images[index]]
- data["seed"] += (index - 1 if opts.return_grid else index)
+ infotexts = [data["infotexts"][index]]
+ else:
+ infotexts = data["infotexts"]
with open(os.path.join(opts.outdir_save, "log.csv"), "a", encoding="utf8", newline='') as file:
at_start = file.tell() == 0
@@ -116,8 +117,11 @@ def save_files(js_data, images, index): if filedata.startswith("data:image/png;base64,"):
filedata = filedata[len("data:image/png;base64,"):]
- with open(filepath, "wb") as imgfile:
- imgfile.write(base64.decodebytes(filedata.encode('utf-8')))
+ pnginfo = PngImagePlugin.PngInfo()
+ pnginfo.add_text('parameters', infotexts[i])
+
+ image = Image.open(io.BytesIO(base64.decodebytes(filedata.encode('utf-8'))))
+ image.save(filepath, quality=opts.jpeg_quality, pnginfo=pnginfo)
filenames.append(filename)
|