openvinotoolkit/stable-diffusion-webui
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add postprocess call for scripts

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AUTOMATIC 2022-10-29 22:20:02 +03:00
parent 35c45df28b
commit 9bb6b6509a
2 changed files with 30 additions and 6 deletions
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12
modules/processing.py
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@ -478,7 +478,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
model_hijack.embedding_db.load_textual_inversion_embeddings() model_hijack.embedding_db.load_textual_inversion_embeddings()
if p.scripts is not None: if p.scripts is not None:
p.scripts.run_alwayson_scripts(p) p.scripts.process(p)
infotexts = [] infotexts = []
output_images = [] output_images = []
@ -501,7 +501,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
seeds = p.all_seeds[n * p.batch_size:(n + 1) * p.batch_size] seeds = p.all_seeds[n * p.batch_size:(n + 1) * p.batch_size]
subseeds = p.all_subseeds[n * p.batch_size:(n + 1) * p.batch_size] subseeds = p.all_subseeds[n * p.batch_size:(n + 1) * p.batch_size]
if (len(prompts) == 0): if len(prompts) == 0:
break break
with devices.autocast(): with devices.autocast():
@ -590,7 +590,13 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
images.save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], opts.grid_format, info=infotext(), short_filename=not opts.grid_extended_filename, p=p, grid=True) images.save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], opts.grid_format, info=infotext(), short_filename=not opts.grid_extended_filename, p=p, grid=True)
devices.torch_gc() devices.torch_gc()
return Processed(p, output_images, p.all_seeds[0], infotext() + "".join(["\n\n" + x for x in comments]), subseed=p.all_subseeds[0], all_prompts=p.all_prompts, all_seeds=p.all_seeds, all_subseeds=p.all_subseeds, index_of_first_image=index_of_first_image, infotexts=infotexts)
res = Processed(p, output_images, p.all_seeds[0], infotext() + "".join(["\n\n" + x for x in comments]), subseed=p.all_subseeds[0], all_prompts=p.all_prompts, all_seeds=p.all_seeds, all_subseeds=p.all_subseeds, index_of_first_image=index_of_first_image, infotexts=infotexts)
if p.scripts is not None:
p.scripts.postprocess(p, res)
return res
class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):

24
modules/scripts.py
View File

@ -64,7 +64,16 @@ class Script:
def process(self, p, *args): def process(self, p, *args):
""" """
This function is called before processing begins for AlwaysVisible scripts. This function is called before processing begins for AlwaysVisible scripts.
scripts. You can modify the processing object (p) here, inject hooks, etc. You can modify the processing object (p) here, inject hooks, etc.
args contains all values returned by components from ui()
"""
pass
def postprocess(self, p, processed, *args):
"""
This function is called after processing ends for AlwaysVisible scripts.
args contains all values returned by components from ui()
""" """
pass pass
@ -289,13 +298,22 @@ class ScriptRunner:
return processed return processed
def run_alwayson_scripts(self, p): def process(self, p):
for script in self.alwayson_scripts: for script in self.alwayson_scripts:
try: try:
script_args = p.script_args[script.args_from:script.args_to] script_args = p.script_args[script.args_from:script.args_to]
script.process(p, *script_args) script.process(p, *script_args)
except Exception: except Exception:
print(f"Error running alwayson script: {script.filename}", file=sys.stderr) print(f"Error running process: {script.filename}", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
def postprocess(self, p, processed):
for script in self.alwayson_scripts:
try:
script_args = p.script_args[script.args_from:script.args_to]
script.postprocess(p, processed, *script_args)
except Exception:
print(f"Error running postprocess: {script.filename}", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr) print(traceback.format_exc(), file=sys.stderr)
def reload_sources(self, cache): def reload_sources(self, cache):