diff options
| -rw-r--r-- | modules/processing.py | 4 | ||||
| -rw-r--r-- | modules/sd_samplers.py | 10 |
2 files changed, 10 insertions, 4 deletions
diff --git a/modules/processing.py b/modules/processing.py index 7eeb5191..1da753a2 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -79,7 +79,7 @@ class StableDiffusionProcessing: self.paste_to = None
self.color_corrections = None
self.denoising_strength: float = 0
-
+ self.sampler_noise_scheduler_override = None
self.ddim_discretize = opts.ddim_discretize
self.s_churn = opts.s_churn
self.s_tmin = opts.s_tmin
@@ -130,7 +130,7 @@ class Processed: self.s_tmin = p.s_tmin
self.s_tmax = p.s_tmax
self.s_noise = p.s_noise
-
+ self.sampler_noise_scheduler_override = p.sampler_noise_scheduler_override
self.prompt = self.prompt if type(self.prompt) != list else self.prompt[0]
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])
diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py index dff89c09..92522214 100644 --- a/modules/sd_samplers.py +++ b/modules/sd_samplers.py @@ -290,7 +290,10 @@ class KDiffusionSampler: def sample_img2img(self, p, x, noise, conditioning, unconditional_conditioning, steps=None):
steps, t_enc = setup_img2img_steps(p, steps)
- sigmas = self.model_wrap.get_sigmas(steps)
+ if p.sampler_noise_scheduler_override:
+ sigmas = p.sampler_noise_scheduler_override(steps)
+ else:
+ sigmas = self.model_wrap.get_sigmas(steps)
noise = noise * sigmas[steps - t_enc - 1]
xi = x + noise
@@ -306,7 +309,10 @@ class KDiffusionSampler: def sample(self, p, x, conditioning, unconditional_conditioning, steps=None):
steps = steps or p.steps
- sigmas = self.model_wrap.get_sigmas(steps)
+ if p.sampler_noise_scheduler_override:
+ sigmas = p.sampler_noise_scheduler_override(steps)
+ else:
+ sigmas = self.model_wrap.get_sigmas(steps)
x = x * sigmas[0]
extra_params_kwargs = self.initialize(p)
|