diff --git a/Troubleshooting.md b/Troubleshooting.md
index e607fb1a..d8c20e8b 100644
--- a/Troubleshooting.md
+++ b/Troubleshooting.md
@@ -9,6 +9,11 @@ Additionally, a common reason for this error is that you're using an initial ima
 
 Also try generating smaller sized images.
 
+## urllib.error.URLError: <urlopen error [Errno 11001] getaddrinfo failed>
+This can be due to a Firewall/Antivirus/Proxy/VPN blocking your network connections. Please check those.
+
+Another solution is to switch to Google's DNS server: https://developers.google.com/speed/public-dns/docs/using#windows or Cloudflare's DNS server: https://developers.cloudflare.com/1.1.1.1/setup/windows/
+
 ## basicsr module not found
 For Windows: Please download and extract basicsr from [here](https://github.com/cmdr2/stable-diffusion-ui/releases/download/v2.16/basicsr-win64.zip), and place the `basicsr` folder inside the `stable-diffusion-ui\stable-diffusion\env\lib\site-packages` folder. Then run the `Start Stable Diffusion UI.cmd` file again.
 
diff --git a/ui/index.html b/ui/index.html
index 9d681e97..8ec4fe61 100644
--- a/ui/index.html
+++ b/ui/index.html
@@ -4,7 +4,7 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <link rel="icon" type="image/png" href="/media/favicon-16x16.png" sizes="16x16">
     <link rel="icon" type="image/png" href="/media/favicon-32x32.png" sizes="32x32">
-    <link rel="stylesheet" href="/media/main.css?v=21">
+    <link rel="stylesheet" href="/media/main.css?v=22">
     <link rel="stylesheet" href="/media/modifier-thumbnails.css?v=1">
     <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.2.0/css/all.min.css">
     <link rel="stylesheet" href="/media/drawingboard.min.css">
@@ -15,7 +15,7 @@
 <div id="container">
     <div id="top-nav">
         <div id="logo">
-            <h1>Stable Diffusion UI <small>v2.2 <span id="updateBranchLabel"></span></small></h1>
+            <h1>Stable Diffusion UI <small>v2.21 <span id="updateBranchLabel"></span></small></h1>
         </div>
         <ul id="top-nav-items">
             <li class="dropdown">
@@ -57,10 +57,12 @@
                 <div id="editor-inputs-prompt" class="row">
                     <label for="prompt">Prompt</label>
                     <textarea id="prompt" class="col-free">a photograph of an astronaut riding a horse</textarea>
+                    <small>(or)</small> <button id="promptsFromFileBtn">Load prompts from a file</button> <small>(one prompt per line)</small>
+                    <input id="prompt_from_file" name="prompt_from_file" type="file" /> <!-- hidden -->
                 </div>
 
                 <div id="editor-inputs-init-image" class="row">
-                    <label for="init_image"><b>Initial Image:</b> (optional) </label> <input id="init_image" name="init_image" type="file" /><br/>
+                    <label for="init_image"><b>Initial Image (img2img):</b> (optional) </label> <input id="init_image" name="init_image" type="file" /><br/>
 
                     <div id="init_image_preview_container" class="image_preview_container">
                         <img id="init_image_preview" src="" width="100" height="100" />
@@ -96,11 +98,11 @@
                     </li>
                     <li id="samplerSelection" class="pl-5"><label for="sampler">Sampler:</label>
                         <select id="sampler" name="sampler">
-                            <option value="plms" selected>plms</option>
+                            <option value="plms">plms</option>
                             <option value="ddim">ddim</option>
                             <option value="heun">heun</option>
                             <option value="euler">euler</option>
-                            <option value="euler_a">euler_a</option>
+                            <option value="euler_a" selected>euler_a</option>
                             <option value="dpm2">dpm2</option>
                             <option value="dpm2_a">dpm2_a</option>
                             <option value="lms">lms</option>
@@ -152,7 +154,7 @@
                         </select>
                         <label for="height"><small>(height)</small></label>
                     </li>
-                    <li class="pl-5"><label for="num_inference_steps">Number of inference steps:</label> <input id="num_inference_steps" name="num_inference_steps" size="4" value="50"></li>
+                    <li class="pl-5"><label for="num_inference_steps">Number of inference steps:</label> <input id="num_inference_steps" name="num_inference_steps" size="4" value="25"></li>
                     <li class="pl-5"><label for="guidance_scale_slider">Guidance Scale:</label> <input id="guidance_scale_slider" name="guidance_scale_slider" class="editor-slider" value="75" type="range" min="10" max="500"> <input id="guidance_scale" name="guidance_scale" size="4"></li>
                     <li class="pl-5"><span id="prompt_strength_container"><label for="prompt_strength_slider">Prompt Strength:</label> <input id="prompt_strength_slider" name="prompt_strength_slider" class="editor-slider" value="80" type="range" min="0" max="99"> <input id="prompt_strength" name="prompt_strength" size="4"><br/></span></li>
                     <li class="pl-5"><label for="output_format">Output format:</label>
@@ -224,7 +226,7 @@
 </div>
 </body>
 
-<script src="media/main.js?v=31"></script>
+<script src="media/main.js?v=32"></script>
 <script>
 async function init() {
     await loadModifiers()
diff --git a/ui/media/main.css b/ui/media/main.css
index 3c346fdc..8d7401e9 100644
--- a/ui/media/main.css
+++ b/ui/media/main.css
@@ -410,4 +410,7 @@ img {
 }
 .img-batch {
     display: inline;
+}
+#prompt_from_file {
+    display: none;
 }
\ No newline at end of file
diff --git a/ui/media/main.js b/ui/media/main.js
index bb6b0d9a..0f2c7344 100644
--- a/ui/media/main.js
+++ b/ui/media/main.js
@@ -18,6 +18,8 @@ const IMAGE_REGEX = new RegExp('data:image/[A-Za-z]+;base64')
 let sessionId = new Date().getTime()
 
 let promptField = document.querySelector('#prompt')
+let promptsFromFileSelector = document.querySelector('#prompt_from_file')
+let promptsFromFileBtn = document.querySelector('#promptsFromFileBtn')
 let negativePromptField = document.querySelector('#negative_prompt')
 let numOutputsTotalField = document.querySelector('#num_outputs_total')
 let numOutputsParallelField = document.querySelector('#num_outputs_parallel')
@@ -588,12 +590,27 @@ async function checkTasks() {
 }
 setTimeout(checkTasks, 0)
 
-async function makeImage() {
+function makeImage() {
     if (serverStatus !== 'online') {
         alert('The server is still starting up..')
         return
     }
 
+    let prompts = promptField.value
+    prompts = prompts.split('\n')
+    prompts.forEach(prompt => {
+        prompt = prompt.trim()
+        if (prompt === '') {
+            return
+        }
+
+        createTask(prompt)
+    })
+
+    initialText.style.display = 'none'
+}
+
+function createTask(prompt) {
     let task = {
         stopped: false,
         batchesDone: 0
@@ -607,7 +624,6 @@ async function makeImage() {
 
     let streamImageProgress = (numOutputsTotal > 50 ? false : streamImageProgressField.checked)
 
-    let prompt = promptField.value
     if (activeTags.length > 0) {
         let promptTags = activeTags.map(x => x.name).join(", ")
         prompt += ", " + promptTags
@@ -729,8 +745,6 @@ async function makeImage() {
     task['previewPrompt'].innerText = prompt
 
     taskQueue.unshift(task)
-
-    initialText.style.display = 'none'
 }
 
 // create a file name with embedded prompt and metadata
@@ -1032,6 +1046,27 @@ maskSetting.addEventListener('click', function() {
     inpaintingEditorContainer.style.display = (this.checked ? 'block' : 'none')
 })
 
+promptsFromFileBtn.addEventListener('click', function() {
+    promptsFromFileSelector.click()
+})
+
+promptsFromFileSelector.addEventListener('change', function() {
+    if (promptsFromFileSelector.files.length === 0) {
+        return
+    }
+
+    let reader = new FileReader()
+    let file = promptsFromFileSelector.files[0]
+
+    reader.addEventListener('load', function() {
+        promptField.value = reader.result
+    })
+
+    if (file) {
+        reader.readAsText(file)
+    }
+})
+
 // function showMaskImagePreview() {
 //     if (maskImageSelector.files.length === 0) {
 //         // maskImagePreviewContainer.style.display = 'none'
diff --git a/ui/sd_internal/runtime.py b/ui/sd_internal/runtime.py
index 7c20eff9..63506579 100644
--- a/ui/sd_internal/runtime.py
+++ b/ui/sd_internal/runtime.py
@@ -82,15 +82,16 @@ except:
 def load_model_ckpt(ckpt_to_use, device_to_use='cuda', turbo=False, unet_bs_to_use=1, precision_to_use='autocast'):
     global ckpt_file, model, modelCS, modelFS, model_is_half, device, unet_bs, precision, model_fs_is_half
 
-    ckpt_file = ckpt_to_use
     device = device_to_use if has_valid_gpu else 'cpu'
     precision = precision_to_use if not force_full_precision else 'full'
     unet_bs = unet_bs_to_use
 
+    unload_model()
+
     if device == 'cpu':
         precision = 'full'
 
-    sd = load_model_from_config(f"{ckpt_file}.ckpt")
+    sd = load_model_from_config(f"{ckpt_to_use}.ckpt")
     li, lo = [], []
     for key, value in sd.items():
         sp = key.split(".")
@@ -137,8 +138,22 @@ def load_model_ckpt(ckpt_to_use, device_to_use='cuda', turbo=False, unet_bs_to_u
         model_is_half = False
         model_fs_is_half = False
 
+    ckpt_file = ckpt_to_use
+
     print('loaded ', ckpt_file, 'to', device, 'precision', precision)
 
+def unload_model():
+    global model, modelCS, modelFS
+
+    if model is not None:
+        del model
+        del modelCS
+        del modelFS
+
+    model = None
+    modelCS = None
+    modelFS = None
+
 def load_model_gfpgan(gfpgan_to_use):
     global gfpgan_file, model_gfpgan
 
@@ -223,8 +238,9 @@ def do_mk_img(req: Request):
     #  to the ckpt file (without the extension).
 
     needs_model_reload = False
-    if ckpt_file != req.use_stable_diffusion_model:
-        ckpt_file = req.use_stable_diffusion_model
+    ckpt_to_use = ckpt_file
+    if ckpt_to_use != req.use_stable_diffusion_model:
+        ckpt_to_use = req.use_stable_diffusion_model
         needs_model_reload = True
 
     model.turbo = req.turbo
@@ -233,8 +249,7 @@ def do_mk_img(req: Request):
             device = 'cpu'
 
             if model_is_half:
-                del model, modelCS, modelFS
-                load_model_ckpt(ckpt_file, device)
+                load_model_ckpt(ckpt_to_use, device)
                 needs_model_reload = False
 
             load_model_gfpgan(gfpgan_file)
@@ -247,8 +262,7 @@ def do_mk_img(req: Request):
             if (precision == 'autocast' and (req.use_full_precision or not model_is_half)) or \
                 (precision == 'full' and not req.use_full_precision and not force_full_precision):
 
-                del model, modelCS, modelFS
-                load_model_ckpt(ckpt_file, device, req.turbo, unet_bs, ('full' if req.use_full_precision else 'autocast'))
+                load_model_ckpt(ckpt_to_use, device, req.turbo, unet_bs, ('full' if req.use_full_precision else 'autocast'))
                 needs_model_reload = False
 
                 if prev_device != device:
@@ -256,7 +270,7 @@ def do_mk_img(req: Request):
                     load_model_real_esrgan(real_esrgan_file)
 
     if needs_model_reload:
-        load_model_ckpt(ckpt_file, device, req.turbo, unet_bs, precision)
+        load_model_ckpt(ckpt_to_use, device, req.turbo, unet_bs, precision)
 
     if req.use_face_correction != gfpgan_file:
         load_model_gfpgan(req.use_face_correction)