diff --git a/modules/sd_models.py b/modules/sd_models.py
index 94824218a..5091a784b 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -411,7 +411,7 @@ def load_diffuser_force(model_type, checkpoint_info, diffusers_load_config, op='
         shared.log.error(f'Load {op}: path="{checkpoint_info.path}" {e}')
         if debug_load:
             errors.display(e, 'Load')
-        return None, True
+        return None
     return sd_model
 
 
diff --git a/modules/sd_te_remote.py b/modules/sd_te_remote.py
new file mode 100644
index 000000000..264eeb145
--- /dev/null
+++ b/modules/sd_te_remote.py
@@ -0,0 +1,40 @@
+from typing import List, Optional, Union
+import os
+import time
+import json
+import torch
+import requests
+from modules import devices, errors
+
+
+def get_t5_prompt_embeds(
+    prompt: Union[str, List[str]] = None,
+    num_images_per_prompt: int = 1, # pylint: disable=unused-argument
+    max_sequence_length: int = 512, # pylint: disable=unused-argument
+    device: Optional[torch.device] = None,
+    dtype: Optional[torch.dtype] = None,
+):
+    device = device or devices.device
+    dtype = dtype or devices.dtype
+    url = os.environ.get('SD_REMOTE_T5', None)
+    if url is None:
+        errors.log.error('Remote-TE: url is not set')
+        return None
+    try:
+        t0 = time.time()
+        response = requests.post(
+            url=url,
+            headers={ "Content-Type": "application/json" },
+            json=prompt,
+            timeout=300,
+        )
+        t1 = time.time()
+        shape = json.loads(response.headers["shape"])
+        buffer = bytearray(response.content)
+        tensor = torch.frombuffer(buffer, dtype=dtype).reshape(shape)
+        errors.log.debug(f'Remote-TE: url="{url}" prompt="{prompt}" shape={shape} time={t1-t0:.3f}')
+        return tensor.to(device=device, dtype=dtype)
+    except Exception as e:
+        errors.log.error(f'Remote-TE: {e}')
+        errors.display(e, 'remote-te')
+        return None
diff --git a/pipelines/model_flux.py b/pipelines/model_flux.py
index 34de4da83..3fa0fadd3 100644
--- a/pipelines/model_flux.py
+++ b/pipelines/model_flux.py
@@ -1,3 +1,4 @@
+import os
 import diffusers
 import transformers
 from modules import shared, devices, sd_models, model_quant
@@ -64,6 +65,12 @@ def load_flux(checkpoint_info, diffusers_load_config={}):
         **load_args,
     )
 
+    if os.environ.get('SD_REMOTE_T5', None) is not None:
+        from modules import sd_te_remote
+        shared.log.warning('Remote-TE: applying patch')
+        pipe._get_t5_prompt_embeds = sd_te_remote.get_t5_prompt_embeds # pylint: disable=protected-access
+        pipe.text_encoder_2 = None
+
     del text_encoder_2
     del transformer