1 files changed, 8 insertions, 2 deletions
diff --git a/modules/sd_samplers_common.py b/modules/sd_samplers_common.py
index 5deda761..b3d344e7 100644
--- a/modules/sd_samplers_common.py
+++ b/modules/sd_samplers_common.py
@@ -2,7 +2,7 @@ from collections import namedtuple
 import numpy as np
 import torch
 from PIL import Image
-from modules import devices, processing, images, sd_vae_approx, sd_samplers, sd_vae_taesd, shared
+from modules import devices, images, sd_vae_approx, sd_samplers, sd_vae_taesd, shared
 from modules.shared import opts, state
 
 SamplerData = namedtuple('SamplerData', ['name', 'constructor', 'aliases', 'options'])
@@ -35,7 +35,7 @@ def single_sample_to_image(sample, approximation=None):
         x_sample = sample * 1.5
         x_sample = sd_vae_taesd.model()(x_sample.to(devices.device, devices.dtype).unsqueeze(0))[0].detach()
     else:
-        x_sample = processing.decode_first_stage(shared.sd_model, sample.unsqueeze(0))[0] * 0.5 + 0.5
+        x_sample = decode_first_stage(shared.sd_model, sample.unsqueeze(0))[0] * 0.5 + 0.5
 
     x_sample = torch.clamp(x_sample, min=0.0, max=1.0)
     x_sample = 255. * np.moveaxis(x_sample.cpu().numpy(), 0, 2)
@@ -44,6 +44,12 @@ def single_sample_to_image(sample, approximation=None):
     return Image.fromarray(x_sample)
 
 
+def decode_first_stage(model, x):
+    x = model.decode_first_stage(x.to(devices.dtype_vae))
+
+    return x
+
+
 def sample_to_image(samples, index=0, approximation=None):
     return single_sample_to_image(samples[index], approximation)