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-rw-r--r--modules/images.py6
-rw-r--r--modules/processing.py4
2 files changed, 9 insertions, 1 deletions
diff --git a/modules/images.py b/modules/images.py
index b3535070..5c0cf1d8 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -352,6 +352,8 @@ class FilenameGenerator:
'prompt_no_styles': lambda self: self.prompt_no_style(),
'prompt_spaces': lambda self: sanitize_filename_part(self.prompt, replace_spaces=False),
'prompt_words': lambda self: self.prompt_words(),
+ 'batch_number': lambda self: self.p.batch_index + 1,
+ 'generation_number': lambda self: self.p.iteration * self.p.batch_size + self.p.batch_index + 1,
}
default_time_format = '%Y%m%d%H%M%S'
@@ -403,6 +405,10 @@ class FilenameGenerator:
for m in re_pattern.finditer(x):
text, pattern = m.groups()
+
+ if pattern is not None and (pattern.lower() == 'batch_number' and self.p.batch_size == 1 or pattern.lower() == 'generation_number' and self.p.n_iter == 1 and self.p.batch_size == 1):
+ continue
+
res += text
if pattern is None:
diff --git a/modules/processing.py b/modules/processing.py
index 6d9c6a8d..0e6a60ba 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -670,6 +670,8 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
p.scripts.postprocess_batch(p, x_samples_ddim, batch_number=n)
for i, x_sample in enumerate(x_samples_ddim):
+ p.batch_index = i
+
x_sample = 255. * np.moveaxis(x_sample.cpu().numpy(), 0, 2)
x_sample = x_sample.astype(np.uint8)
@@ -718,7 +720,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
if opts.return_mask:
output_images.append(image_mask)
-
+
if opts.return_mask_composite:
output_images.append(image_mask_composite)