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| author | continue-revolution <continuerevolution@gmail.com> | 2024-01-07 10:25:01 -0600 |
|---|---|---|
| committer | continue-revolution <continuerevolution@gmail.com> | 2024-01-07 10:25:01 -0600 |
| commit | 425507bd10c55f1f804eb5015db74520668f46f9 (patch) | |
| tree | 1e4c85cdc03624f3f590e7af2f205c067b36666b /modules/sd_samplers_cfg_denoiser.py | |
| parent | 2f98a35fc4508494355c01ec45f5bec725f570a6 (diff) | |
add p to cfgdenoiserparams
Diffstat (limited to 'modules/sd_samplers_cfg_denoiser.py')
| -rw-r--r-- | modules/sd_samplers_cfg_denoiser.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/modules/sd_samplers_cfg_denoiser.py b/modules/sd_samplers_cfg_denoiser.py index eb9d5daf..f4ded6bd 100644 --- a/modules/sd_samplers_cfg_denoiser.py +++ b/modules/sd_samplers_cfg_denoiser.py @@ -146,7 +146,7 @@ class CFGDenoiser(torch.nn.Module): sigma_in = torch.cat([torch.stack([sigma[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [sigma] + [sigma])
image_cond_in = torch.cat([torch.stack([image_cond[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [image_uncond] + [torch.zeros_like(self.init_latent)])
- denoiser_params = CFGDenoiserParams(x_in, image_cond_in, sigma_in, state.sampling_step, state.sampling_steps, tensor, uncond)
+ denoiser_params = CFGDenoiserParams(x_in, image_cond_in, sigma_in, state.sampling_step, state.sampling_steps, tensor, uncond, self.p)
cfg_denoiser_callback(denoiser_params)
x_in = denoiser_params.x
image_cond_in = denoiser_params.image_cond
|