diff options
| -rw-r--r-- | modules/generation_parameters_copypaste.py | 1 | ||||
| -rw-r--r-- | modules/processing.py | 9 |
2 files changed, 9 insertions, 1 deletions
diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py index 985ec95e..1408ea05 100644 --- a/modules/generation_parameters_copypaste.py +++ b/modules/generation_parameters_copypaste.py @@ -73,6 +73,7 @@ def integrate_settings_paste_fields(component_dict): 'sd_hypernetwork': 'Hypernet',
'sd_hypernetwork_strength': 'Hypernet strength',
'CLIP_stop_at_last_layers': 'Clip skip',
+ 'inpainting_mask_weight': 'Conditional mask weight',
'sd_model_checkpoint': 'Model hash',
}
settings_paste_fields = [
diff --git a/modules/processing.py b/modules/processing.py index fb30aa81..def95846 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -113,6 +113,7 @@ class StableDiffusionProcessing(): self.s_tmax = s_tmax or float('inf') # not representable as a standard ui option
self.s_noise = s_noise or opts.s_noise
self.override_settings = {k: v for k, v in (override_settings or {}).items() if k not in shared.restricted_opts}
+ self.is_using_inpainting_conditioning = False
if not seed_enable_extras:
self.subseed = -1
@@ -133,6 +134,8 @@ class StableDiffusionProcessing(): # Pretty sure we can just make this a 1x1 image since its not going to be used besides its batch size.
return x.new_zeros(x.shape[0], 5, 1, 1)
+ self.is_using_inpainting_conditioning = True
+
height = height or self.height
width = width or self.width
@@ -151,6 +154,8 @@ class StableDiffusionProcessing(): # Dummy zero conditioning if we're not using inpainting model.
return latent_image.new_zeros(latent_image.shape[0], 5, 1, 1)
+ self.is_using_inpainting_conditioning = True
+
# Handle the different mask inputs
if image_mask is not None:
if torch.is_tensor(image_mask):
@@ -234,6 +239,7 @@ class Processed: self.negative_prompt = self.negative_prompt if type(self.negative_prompt) != list else self.negative_prompt[0]
self.seed = int(self.seed if type(self.seed) != list else self.seed[0]) if self.seed is not None else -1
self.subseed = int(self.subseed if type(self.subseed) != list else self.subseed[0]) if self.subseed is not None else -1
+ self.is_using_inpainting_conditioning = p.is_using_inpainting_conditioning
self.all_prompts = all_prompts or [self.prompt]
self.all_seeds = all_seeds or [self.seed]
@@ -268,6 +274,7 @@ class Processed: "styles": self.styles,
"job_timestamp": self.job_timestamp,
"clip_skip": self.clip_skip,
+ "is_using_inpainting_conditioning": self.is_using_inpainting_conditioning,
}
return json.dumps(obj)
@@ -394,7 +401,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration "Variation seed strength": (None if p.subseed_strength == 0 else p.subseed_strength),
"Seed resize from": (None if p.seed_resize_from_w == 0 or p.seed_resize_from_h == 0 else f"{p.seed_resize_from_w}x{p.seed_resize_from_h}"),
"Denoising strength": getattr(p, 'denoising_strength', None),
- "Inpainting strength": (None if getattr(p, 'denoising_strength', None) is None else getattr(p, "inpainting_mask_weight", shared.opts.inpainting_mask_weight)),
+ "Conditional mask weight": getattr(p, "inpainting_mask_weight", shared.opts.inpainting_mask_weight) if p.is_using_inpainting_conditioning else None,
"Eta": (None if p.sampler is None or p.sampler.eta == p.sampler.default_eta else p.sampler.eta),
"Clip skip": None if clip_skip <= 1 else clip_skip,
"ENSD": None if opts.eta_noise_seed_delta == 0 else opts.eta_noise_seed_delta,
|