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Merge pull request #15984 from huchenlei/before_every_sampling

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Add process_before_every_sampling hook
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AUTOMATIC1111 2024-06-10 07:25:17 +03:00 committed by GitHub
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2 changed files with 39 additions and 0 deletions
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24
modules/processing.py
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@ -1330,6 +1330,15 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
# here we generate an image normally # here we generate an image normally
x = self.rng.next() x = self.rng.next()
if self.scripts is not None:
self.scripts.process_before_every_sampling(
p=self,
x=x,
noise=x,
c=conditioning,
uc=unconditional_conditioning
)
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x)) samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
del x del x
@ -1430,6 +1439,13 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
if self.scripts is not None: if self.scripts is not None:
self.scripts.before_hr(self) self.scripts.before_hr(self)
self.scripts.process_before_every_sampling(
p=self,
x=samples,
noise=noise,
c=self.hr_c,
uc=self.hr_uc,
)
samples = self.sampler.sample_img2img(self, samples, noise, self.hr_c, self.hr_uc, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning) samples = self.sampler.sample_img2img(self, samples, noise, self.hr_c, self.hr_uc, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning)
@ -1743,6 +1759,14 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
self.extra_generation_params["Noise multiplier"] = self.initial_noise_multiplier self.extra_generation_params["Noise multiplier"] = self.initial_noise_multiplier
x *= self.initial_noise_multiplier x *= self.initial_noise_multiplier
if self.scripts is not None:
self.scripts.process_before_every_sampling(
p=self,
x=self.init_latent,
noise=x,
c=conditioning,
uc=unconditional_conditioning
)
samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning) samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
if self.mask is not None: if self.mask is not None:

15
modules/scripts.py
View File

@ -187,6 +187,13 @@ class Script:
""" """
pass pass
def process_before_every_sampling(self, p, *args, **kwargs):
"""
Similar to process(), called before every sampling.
If you use high-res fix, this will be called two times.
"""
pass
def process_batch(self, p, *args, **kwargs): def process_batch(self, p, *args, **kwargs):
""" """
Same as process(), but called for every batch. Same as process(), but called for every batch.
@ -826,6 +833,14 @@ class ScriptRunner:
except Exception: except Exception:
errors.report(f"Error running process: {script.filename}", exc_info=True) errors.report(f"Error running process: {script.filename}", exc_info=True)
def process_before_every_sampling(self, p, **kwargs):
for script in self.ordered_scripts('process_before_every_sampling'):
try:
script_args = p.script_args[script.args_from:script.args_to]
script.process_before_every_sampling(p, *script_args, **kwargs)
except Exception:
errors.report(f"Error running process_before_every_sampling: {script.filename}", exc_info=True)
def before_process_batch(self, p, **kwargs): def before_process_batch(self, p, **kwargs):
for script in self.ordered_scripts('before_process_batch'): for script in self.ordered_scripts('before_process_batch'):
try: try: