diff --git a/ldm/invoke/generator/txt2img2img.py b/ldm/invoke/generator/txt2img2img.py
index 1dba0cfafb..47692a6bbb 100644
--- a/ldm/invoke/generator/txt2img2img.py
+++ b/ldm/invoke/generator/txt2img2img.py
@@ -3,6 +3,7 @@ ldm.invoke.generator.txt2img inherits from ldm.invoke.generator
 '''
 
 import math
+from diffusers.utils.logging import get_verbosity, set_verbosity, set_verbosity_error
 from typing import Callable, Optional
 
 import torch
@@ -66,6 +67,8 @@ class Txt2Img2Img(Generator):
 
             second_pass_noise = self.get_noise_like(resized_latents)
 
+            verbosity = get_verbosity()
+            set_verbosity_error()
             pipeline_output = pipeline.img2img_from_latents_and_embeddings(
                 resized_latents,
                 num_inference_steps=steps,
@@ -73,6 +76,7 @@ class Txt2Img2Img(Generator):
                 strength=strength,
                 noise=second_pass_noise,
                 callback=step_callback)
+            set_verbosity(verbosity)
 
             return pipeline.numpy_to_pil(pipeline_output.images)[0]
 
diff --git a/ldm/invoke/model_manager.py b/ldm/invoke/model_manager.py
index 0193baefba..a5f9a47d41 100644
--- a/ldm/invoke/model_manager.py
+++ b/ldm/invoke/model_manager.py
@@ -25,6 +25,7 @@ import torch
 import safetensors
 import transformers
 from diffusers import AutoencoderKL, logging as dlogging
+from diffusers.utils.logging import get_verbosity, set_verbosity, set_verbosity_error
 from omegaconf import OmegaConf
 from omegaconf.dictconfig import DictConfig
 from picklescan.scanner import scan_file_path
@@ -827,11 +828,11 @@ class ModelManager(object):
             return model
 
         # diffusers really really doesn't like us moving a float16 model onto CPU
-        import logging
-        logging.getLogger('diffusers.pipeline_utils').setLevel(logging.CRITICAL)
+        verbosity = get_verbosity()
+        set_verbosity_error()
         model.cond_stage_model.device = 'cpu'
         model.to('cpu')
-        logging.getLogger('pipeline_utils').setLevel(logging.INFO)
+        set_verbosity(verbosity)
 
         for submodel in ('first_stage_model','cond_stage_model','model'):
             try: