diff --git a/README.md b/README.md
index f62d4289a..b055325ed 100644
--- a/README.md
+++ b/README.md
@@ -126,10 +126,10 @@ After this you should have everything installed and can proceed to running Comfy
 
 You can install ComfyUI in Apple Mac silicon (M1 or M2) with any recent macOS version.
 
-1. Install pytorch. For instructions, read the [Accelerated PyTorch training on Mac](https://developer.apple.com/metal/pytorch/) Apple Developer guide.
+1. Install pytorch nightly. For instructions, read the [Accelerated PyTorch training on Mac](https://developer.apple.com/metal/pytorch/) Apple Developer guide (make sure to install the latest pytorch nightly).
 1. Follow the [ComfyUI manual installation](#manual-install-windows-linux) instructions for Windows and Linux.
 1. Install the ComfyUI [dependencies](#dependencies). If you have another Stable Diffusion UI [you might be able to reuse the dependencies](#i-already-have-another-ui-for-stable-diffusion-installed-do-i-really-have-to-install-all-of-these-dependencies).
-1. Launch ComfyUI by running `python main.py`.
+1. Launch ComfyUI by running `python main.py --force-fp16`. Note that --force-fp16 will only work if you installed the latest pytorch nightly.
 
 > **Note**: Remember to add your models, VAE, LoRAs etc. to the corresponding Comfy folders, as discussed in [ComfyUI manual installation](#manual-install-windows-linux).
 
diff --git a/comfy/model_management.py b/comfy/model_management.py
index 75f3b38a9..0ffca06da 100644
--- a/comfy/model_management.py
+++ b/comfy/model_management.py
@@ -364,7 +364,8 @@ def text_encoder_device():
     if args.gpu_only:
         return get_torch_device()
     elif vram_state == VRAMState.HIGH_VRAM or vram_state == VRAMState.NORMAL_VRAM:
-        if torch.get_num_threads() < 4: #leaving the text encoder on the CPU is faster than shifting it if the CPU is fast enough.
+        #NOTE: on a Ryzen 5 7600X with 4080 it's faster to shift to GPU
+        if torch.get_num_threads() < 8: #leaving the text encoder on the CPU is faster than shifting it if the CPU is fast enough.
             return get_torch_device()
         else:
             return torch.device("cpu")
diff --git a/main.py b/main.py
index 2674eba15..47ba136e1 100644
--- a/main.py
+++ b/main.py
@@ -163,6 +163,8 @@ if __name__ == "__main__":
     if args.auto_launch:
         def startup_server(address, port):
             import webbrowser
+            if os.name == 'nt' and address == '0.0.0.0':
+                address = '127.0.0.1'
             webbrowser.open(f"http://{address}:{port}")
         call_on_start = startup_server
 
diff --git a/nodes.py b/nodes.py
index 2a5cbb05f..61a6a98ba 100644
--- a/nodes.py
+++ b/nodes.py
@@ -362,6 +362,14 @@ class SaveLatent:
                     metadata[x] = json.dumps(extra_pnginfo[x])
 
         file = f"{filename}_{counter:05}_.latent"
+
+        results = list()
+        results.append({
+            "filename": file,
+            "subfolder": subfolder,
+            "type": "output"
+        })
+
         file = os.path.join(full_output_folder, file)
 
         output = {}
@@ -369,7 +377,7 @@ class SaveLatent:
         output["latent_format_version_0"] = torch.tensor([])
 
         comfy.utils.save_torch_file(output, file, metadata=metadata)
-        return {}
+        return { "ui": { "latents": results } }
 
 
 class LoadLatent:
diff --git a/web/scripts/widgets.js b/web/scripts/widgets.js
index a8afc29b0..c128caa5a 100644
--- a/web/scripts/widgets.js
+++ b/web/scripts/widgets.js
@@ -250,19 +250,25 @@ function addMultilineWidget(node, name, opts, app) {
 	return { minWidth: 400, minHeight: 200, widget };
 }
 
+function isSlider(display) {
+	return (display==="slider") ? "slider" : "number"
+}
+
 export const ComfyWidgets = {
 	"INT:seed": seedWidget,
 	"INT:noise_seed": seedWidget,
 	FLOAT(node, inputName, inputData) {
+		let widgetType = isSlider(inputData[1]["display"]);
 		const { val, config } = getNumberDefaults(inputData, 0.5);
-		return { widget: node.addWidget("number", inputName, val, () => {}, config) };
+		return { widget: node.addWidget(widgetType, inputName, val, () => {}, config) };
 	},
 	INT(node, inputName, inputData) {
+		let widgetType = isSlider(inputData[1]["display"]);
 		const { val, config } = getNumberDefaults(inputData, 1);
 		Object.assign(config, { precision: 0 });
 		return {
 			widget: node.addWidget(
-				"number",
+				widgetType,
 				inputName,
 				val,
 				function (v) {
@@ -273,6 +279,18 @@ export const ComfyWidgets = {
 			),
 		};
 	},
+	BOOLEAN(node, inputName, inputData) {
+		let defaultVal = inputData[1]["default"];
+		return {
+			widget: node.addWidget(
+				"toggle",
+				inputName,
+				defaultVal,
+				() => {},
+				{"on": inputData[1].label_on, "off": inputData[1].label_off}
+				)
+		};
+	},
 	STRING(node, inputName, inputData, app) {
 		const defaultVal = inputData[1].default || "";
 		const multiline = !!inputData[1].multiline;