diff --git a/README.md b/README.md
index 409be427..cf88a8e5 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@
   <a href="#installation"><img src="https://github.com/cmdr2/stable-diffusion-ui/raw/develop/media/download-linux.png" width="200" /></a>
 </p>
 
-[![Discord Server](https://badgen.net/badge/icon/discord?icon=discord&label)](https://discord.com/invite/u9yhsFmEkB) (for support, and development discussion) | [Troubleshooting guide for common problems](Troubleshooting.md)
+[![Discord Server](https://img.shields.io/discord/1014774730907209781?label=Discord)](https://discord.com/invite/u9yhsFmEkB) (for support, and development discussion) | [Troubleshooting guide for common problems](Troubleshooting.md)
 
 ️‍🔥🎉 **New!** Live Preview, More Samplers, In-Painting, Face Correction (GFPGAN) and Upscaling (RealESRGAN) have been added!
 
@@ -20,7 +20,7 @@ This distribution currently uses Stable Diffusion 1.4. Once the model for 1.5 be
 - **Lots of Samplers:** ddim, plms, heun, euler, euler_a, dpm2, dpm2_a, lms
 - **Image Modifiers**: A library of *modifier tags* like *"Realistic"*, *"Pencil Sketch"*, *"ArtStation"* etc. Experiment with various styles quickly.
 - **New UI**: with cleaner design
-- **Waifu Model Supported**: Just replace the `stable-diffusion\sd-v1-4.ckpt` file after installation with the Waifu model
+- **Waifu Model Support**: Just replace the `stable-diffusion\sd-v1-4.ckpt` file after installation with the Waifu model
 - Supports "*Text to Image*" and "*Image to Image*"
 - **NSFW Setting**: A setting in the UI to control *NSFW content*
 - **Use CPU setting**: If you don't have a compatible graphics card, but still want to run it on your CPU.
@@ -35,7 +35,7 @@ This distribution currently uses Stable Diffusion 1.4. Once the model for 1.5 be
 
 # System Requirements
 1. Windows 10/11, or Linux. Experimental support for Mac is coming soon.
-2. An NVIDIA graphics card, preferably with 6GB or more of VRAM. But if you don't have a compatible graphics card, you can still use it with a "Use CPU" setting. It'll be very slow, but it should still work.
+2. An NVIDIA graphics card, preferably with 4GB or more of VRAM. But if you don't have a compatible graphics card, you can still use it with a "Use CPU" setting. It'll be very slow, but it should still work.
 
 You do not need anything else. You do not need WSL, Docker or Conda. The installer will take care of it.
 
diff --git a/ui/index.html b/ui/index.html
index 6223b34c..f8e5f6ec 100644
--- a/ui/index.html
+++ b/ui/index.html
@@ -214,7 +214,7 @@
 </div>
 </body>
 
-<script src="media/main.js?v=3"></script>
+<script src="media/main.js?v=4"></script>
 <script>
 async function init() {
     await loadModifiers()
diff --git a/ui/media/main.js b/ui/media/main.js
index b2f28957..7633b7ee 100644
--- a/ui/media/main.js
+++ b/ui/media/main.js
@@ -366,6 +366,20 @@ async function doMakeImage(reqBody, batchCount) {
             res = undefined
             progressBar.style.display = 'none'
         } else {
+            if (finalJSON !== undefined && finalJSON.indexOf('}{') !== -1) {
+                // hack for a middleman buffering all the streaming updates, and unleashing them
+                //  on the poor browser in one shot.
+                //  this results in having to parse JSON like {"step": 1}{"step": 2}...{"status": "succeeded"..}
+                //  which is obviously invalid.
+                // So we need to just extract the last {} section, starting from "status" to the end of the response
+
+                let lastChunkIdx = finalJSON.lastIndexOf('}{')
+                if (lastChunkIdx !== -1) {
+                    let remaining = finalJSON.substring(lastChunkIdx)
+                    finalJSON = remaining.substring(1)
+                }
+            }
+
             res = JSON.parse(finalJSON)
             progressBar.style.display = 'none'