From 9991967f40120b88a1dc925fdf7d747d5e016888 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 16 Jan 2023 22:59:46 +0300
Subject: Add a check and explanation for tensor with all NaNs.

---
 modules/sd_samplers.py | 2 ++
 1 file changed, 2 insertions(+)

(limited to 'modules/sd_samplers.py')

diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index 76e0e0d5..6261d1f7 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -351,6 +351,8 @@ class CFGDenoiser(torch.nn.Module):
 
             x_out[-uncond.shape[0]:] = self.inner_model(x_in[-uncond.shape[0]:], sigma_in[-uncond.shape[0]:], cond={"c_crossattn": [uncond], "c_concat": [image_cond_in[-uncond.shape[0]:]]})
 
+        devices.test_for_nans(x_out, "unet")
+
         if opts.live_preview_content == "Prompt":
             store_latent(x_out[0:uncond.shape[0]])
         elif opts.live_preview_content == "Negative prompt":
-- 
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