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/processing.py | 3 +++
 1 file changed, 3 insertions(+)

(limited to 'modules/processing.py')

diff --git a/modules/processing.py b/modules/processing.py
index 849f6b19..ab7b3b7d 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -608,6 +608,9 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
                 samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts)
 
             x_samples_ddim = [decode_first_stage(p.sd_model, samples_ddim[i:i+1].to(dtype=devices.dtype_vae))[0].cpu() for i in range(samples_ddim.size(0))]
+            for x in x_samples_ddim:
+                devices.test_for_nans(x, "vae")
+
             x_samples_ddim = torch.stack(x_samples_ddim).float()
             x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)
 
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