Merge branch 'dev' into master

1 files changed, 8 insertions, 3 deletions

diff --git a/modules/processing.py b/modules/processing.py
index e124e7f0..70ad1ebe 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -142,7 +142,7 @@ class StableDiffusionProcessing:
     overlay_images: list = None

     eta: float = None

     do_not_reload_embeddings: bool = False

-    denoising_strength: float = 0

+    denoising_strength: float = None

     ddim_discretize: str = None

     s_min_uncond: float = None

     s_churn: float = None

@@ -533,6 +533,7 @@ class Processed:
         self.all_seeds = all_seeds or p.all_seeds or [self.seed]

         self.all_subseeds = all_subseeds or p.all_subseeds or [self.subseed]

         self.infotexts = infotexts or [info]

+        self.version = program_version()

 

     def js(self):

         obj = {

@@ -567,6 +568,7 @@ class Processed:
             "job_timestamp": self.job_timestamp,

             "clip_skip": self.clip_skip,

             "is_using_inpainting_conditioning": self.is_using_inpainting_conditioning,

+            "version": self.version,

         }

 

         return json.dumps(obj)

@@ -709,7 +711,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
     if p.scripts is not None:

         p.scripts.before_process(p)

 

-    stored_opts = {k: opts.data[k] for k in p.override_settings.keys()}

+    stored_opts = {k: opts.data[k] if k in opts.data else opts.get_default(k) for k in p.override_settings.keys() if k in opts.data}

 

     try:

         # if no checkpoint override or the override checkpoint can't be found, remove override entry and load opts checkpoint

@@ -884,6 +886,8 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
 

             devices.torch_gc()

 

+            state.nextjob()

+

             if p.scripts is not None:

                 p.scripts.postprocess_batch(p, x_samples_ddim, batch_number=n)

 

@@ -956,7 +960,8 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
 

             devices.torch_gc()

 

-            state.nextjob()

+        if not infotexts:

+            infotexts.append(Processed(p, []).infotext(p, 0))

 

         p.color_corrections = None