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-rw-r--r--modules/processing.py18
1 files changed, 9 insertions, 9 deletions
diff --git a/modules/processing.py b/modules/processing.py
index 8f26621b..aef8fafd 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -103,10 +103,6 @@ def txt2img_image_conditioning(sd_model, x, width, height):
return x.new_zeros(x.shape[0], 5, 1, 1, dtype=x.dtype, device=x.device)
-def save_images_if_interrupted():
- return not (opts.dont_save_interrupted_images and (state.interrupted or state.skipped))
-
-
class StableDiffusionProcessing:
"""
The first set of paramaters: sd_models -> do_not_reload_embeddings represent the minimum required to create a StableDiffusionProcessing
@@ -372,6 +368,10 @@ class StableDiffusionProcessing:
def parse_extra_network_prompts(self):
self.prompts, self.extra_network_data = extra_networks.parse_prompts(self.prompts)
+ def save_samples(self) -> bool:
+ """Returns whether generated images need to be written to disk"""
+ return opts.samples_save and not self.do_not_save_samples and (opts.save_incomplete_images or not state.interrupted and not state.skipped)
+
class Processed:
def __init__(self, p: StableDiffusionProcessing, images_list, seed=-1, info="", subseed=None, all_prompts=None, all_negative_prompts=None, all_seeds=None, all_subseeds=None, index_of_first_image=0, infotexts=None, comments=""):
@@ -827,7 +827,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
def infotext(index=0, use_main_prompt=False):
return create_infotext(p, p.prompts, p.seeds, p.subseeds, use_main_prompt=use_main_prompt, index=index, all_negative_prompts=p.negative_prompts)
- save_images_if_interrupt = save_images_if_interrupted()
+ save_samples = p.save_samples()
for i, x_sample in enumerate(x_samples_ddim):
p.batch_index = i
@@ -836,7 +836,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
x_sample = x_sample.astype(np.uint8)
if p.restore_faces:
- if opts.save and not p.do_not_save_samples and opts.save_images_before_face_restoration and save_images_if_interrupt:
+ if save_samples and opts.save_images_before_face_restoration:
images.save_image(Image.fromarray(x_sample), p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p, suffix="-before-face-restoration")
devices.torch_gc()
@@ -851,14 +851,14 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
p.scripts.postprocess_image(p, pp)
image = pp.image
if p.color_corrections is not None and i < len(p.color_corrections):
- if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction and save_images_if_interrupt:
+ if save_samples and opts.save_images_before_color_correction:
image_without_cc = apply_overlay(image, p.paste_to, i, p.overlay_images)
images.save_image(image_without_cc, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p, suffix="-before-color-correction")
image = apply_color_correction(p.color_corrections[i], image)
image = apply_overlay(image, p.paste_to, i, p.overlay_images)
- if opts.samples_save and not p.do_not_save_samples and save_images_if_interrupt:
+ if save_samples:
images.save_image(image, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p)
text = infotext(i)
@@ -1096,7 +1096,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
def save_intermediate(image, index):
"""saves image before applying hires fix, if enabled in options; takes as an argument either an image or batch with latent space images"""
- if not opts.save or self.do_not_save_samples or not opts.save_images_before_highres_fix or not save_images_if_interrupted():
+ if not self.save_samples() or not opts.save_images_before_highres_fix:
return
if not isinstance(image, Image.Image):