diff --git a/src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py b/src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py
index 0ea318bc3b..45788a8e29 100644
--- a/src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py
+++ b/src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py
@@ -20,6 +20,7 @@ import tempfile
 
 import torch
 
+import requests
 from diffusers import (
     AutoencoderKL,
     DDIMScheduler,
@@ -860,11 +861,10 @@ def load_pipeline_from_original_stable_diffusion_ckpt(
             if key_name in checkpoint and checkpoint[key_name].shape[-1] == 1024:
                 if not os.path.isfile("v2-inference-v.yaml"):
                     # model_type = "v2"
-                    os.system(
-                        "wget -P"
+                    r = requests.get(
                         " https://raw.githubusercontent.com/Stability-AI/stablediffusion/main/configs/stable-diffusion/v2-inference-v.yaml"
-                        f" -O {original_config_file}"
                     )
+                    open(original_config_file, "wb").write(r.content)
 
                 if global_step == 110000:
                     # v2.1 needs to upcast attention
@@ -872,11 +872,10 @@ def load_pipeline_from_original_stable_diffusion_ckpt(
             else:
                 if not os.path.isfile("v1-inference.yaml"):
                     # model_type = "v1"
-                    os.system(
-                        "wget"
+                    r = requests.get(
                         " https://raw.githubusercontent.com/CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml"
-                        f" -O {original_config_file}"
                     )
+                    open(original_config_file, "wb").write(r.content)
 
         original_config = OmegaConf.load(original_config_file)