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authorDepFA <35278260+dfaker@users.noreply.github.com>2022-10-30 23:48:33 +0000
committerGitHub <noreply@github.com>2022-10-30 23:48:33 +0000
commit8ae0ea9deaa5a09d1e0aa8b2f8e97c38d71cdbda (patch)
treeed855496dc4c66a90538ffe49e38d660665c71b7 /modules
parent8906be85ac91310b37dccddc44f23631eb7a15f5 (diff)
Add callback to sd_samplers
Diffstat (limited to 'modules')
-rw-r--r--modules/sd_samplers.py3
1 files changed, 3 insertions, 0 deletions
diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index 3670b57d..30cb5c4b 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -11,6 +11,7 @@ from modules import prompt_parser, devices, processing, images
from modules.shared import opts, cmd_opts, state
import modules.shared as shared
+from modules.script_callbacks import CGFDenoiserParams, cfg_denoiser_callback
SamplerData = namedtuple('SamplerData', ['name', 'constructor', 'aliases', 'options'])
@@ -278,6 +279,8 @@ class CFGDenoiser(torch.nn.Module):
image_cond_in = torch.cat([torch.stack([image_cond[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [image_cond])
sigma_in = torch.cat([torch.stack([sigma[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [sigma])
+ cfg_denoiser_callback(CGFDenoiserParams(x_in, image_cond_in, sigma_in, state.sampling_step, state.sampling_steps))
+
if tensor.shape[1] == uncond.shape[1]:
cond_in = torch.cat([tensor, uncond])