Interrupt after current generation

modules/call_queue.py

@@ -78,6 +78,7 @@ def wrap_gradio_call(func, extra_outputs=None, add_stats=False):
 
         shared.state.skipped = False
         shared.state.interrupted = False
+        shared.state.interrupted_next = False
         shared.state.job_count = 0
 
         if not add_stats:

modules/img2img.py

@@ -49,7 +49,7 @@ def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args, to_scale=Fal
         if state.skipped:
             state.skipped = False
 
-        if state.interrupted:
+        if state.interrupted or state.interrupted_next:
             break
 
         try:

modules/processing.py

@@ -819,7 +819,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
             if state.skipped:
                 state.skipped = False
 
-            if state.interrupted:
+            if state.interrupted or state.interrupted_next:
                 break
 
             sd_models.reload_model_weights()  # model can be changed for example by refiner

modules/shared_options.py

@@ -113,6 +113,7 @@ options_templates.update(options_section(('system', "System"), {
     "disable_mmap_load_safetensors": OptionInfo(False, "Disable memmapping for loading .safetensors files.").info("fixes very slow loading speed in some cases"),
     "hide_ldm_prints": OptionInfo(True, "Prevent Stability-AI's ldm/sgm modules from printing noise to console."),
     "dump_stacks_on_signal": OptionInfo(False, "Print stack traces before exiting the program with ctrl+c."),
+    "interrupt_after_current": OptionInfo(False, "Interrupt generation after current image is finished on batch processing"),
 }))
 
 options_templates.update(options_section(('API', "API"), {

modules/shared_state.py

@@ -12,6 +12,7 @@ log = logging.getLogger(__name__)
 class State:
     skipped = False
     interrupted = False
+    interrupted_next = False
     job = ""
     job_no = 0
     job_count = 0
@@ -76,8 +77,12 @@ class State:
         log.info("Received skip request")
 
     def interrupt(self):
-        self.interrupted = True
-        log.info("Received interrupt request")
+        if shared.opts.interrupt_after_current and self.job_count > 1:
+            self.interrupted_next = True
+            log.info("Received interrupt request, interrupt after current job")
+        else:
+            self.interrupted = True
+            log.info("Received interrupt request")
 
     def nextjob(self):
         if shared.opts.live_previews_enable and shared.opts.show_progress_every_n_steps == -1:
@@ -91,6 +96,7 @@ class State:
         obj = {
             "skipped": self.skipped,
             "interrupted": self.interrupted,
+            "interrupted_next": self.interrupted_next,
             "job": self.job,
             "job_count": self.job_count,
             "job_timestamp": self.job_timestamp,
@@ -114,6 +120,7 @@ class State:
         self.id_live_preview = 0
         self.skipped = False
         self.interrupted = False
+        self.interrupted_next = False
         self.textinfo = None
         self.job = job
         devices.torch_gc()

scripts/loopback.py

@@ -95,7 +95,7 @@ class Script(scripts.Script):
                 processed = processing.process_images(p)
 
                 # Generation cancelled.
-                if state.interrupted:
+                if state.interrupted or state.interrupted_next:
                     break
 
                 if initial_seed is None:
@@ -122,8 +122,8 @@ class Script(scripts.Script):
 
             p.inpainting_fill = original_inpainting_fill
 
-            if state.interrupted:
-                    break
+            if state.interrupted or state.interrupted_next:
+                break
 
         if len(history) > 1:
             grid = images.image_grid(history, rows=1)

scripts/xyz_grid.py

@@ -688,7 +688,7 @@ class Script(scripts.Script):
         grid_infotext = [None] * (1 + len(zs))
 
         def cell(x, y, z, ix, iy, iz):
-            if shared.state.interrupted:
+            if shared.state.interrupted or state.interrupted_next:
                 return Processed(p, [], p.seed, "")
 
             pc = copy(p)