Merge branch 'master' into add-model-cli

.ci/nightly/windows_base_files/README_VERY_IMPORTANT.txt

@@ -18,5 +18,10 @@ You can download the stable diffusion 1.5 one from: https://huggingface.co/runwa
 
 
 
-To update only the ComfyUI code: update\update_comfyui_only.bat
-To update ComfyUI with the python dependencies: update\update_all.bat
+RECOMMENDED WAY TO UPDATE:
+To update the ComfyUI code: update\update_comfyui.bat
+
+
+
+To update ComfyUI with the python dependencies:
+update\update_comfyui_and_python_dependencies.bat

.ci/setup_windows_zip.ps1

@@ -1,25 +0,0 @@
-Invoke-WebRequest -URI https://www.python.org/ftp/python/3.10.9/python-3.10.9-embed-amd64.zip -O python_embeded.zip
-Expand-Archive python_embeded.zip
-cd python_embeded
-Add-Content -Path .\python310._pth -Value 'import site'
-Invoke-WebRequest -Uri https://bootstrap.pypa.io/get-pip.py -OutFile get-pip.py
-.\python.exe get-pip.py
-.\python.exe -s -m pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117 xformers -r ../ComfyUI/requirements.txt pygit2
-"../ComfyUI`n" + (Get-Content .\python310._pth -Raw) | Set-Content .\python310._pth
-cd ..
-
-
-mkdir ComfyUI_windows_portable
-mv python_embeded ComfyUI_windows_portable
-mv ComfyUI_copy ComfyUI_windows_portable/ComfyUI
-
-cd ComfyUI_windows_portable
-
-mkdir update
-cp ComfyUI/.ci/update_windows/* ./update/
-cp ComfyUI/.ci/windows_base_files/* ./
-
-cd ..
-
-& "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma -mx=8 -mfb=64 -md=32m -ms=on ComfyUI_windows_portable.7z ComfyUI_windows_portable
-mv ComfyUI_windows_portable.7z ComfyUI/ComfyUI_windows_portable_nvidia_or_cpu.7z

.ci/setup_windows_zip_nightly_pytorch.ps1

@@ -1,27 +0,0 @@
-Invoke-WebRequest -URI https://www.python.org/ftp/python/3.10.9/python-3.10.9-embed-amd64.zip -O python_embeded.zip
-Expand-Archive python_embeded.zip
-rm python_embeded.zip
-cd python_embeded
-Add-Content -Path .\python310._pth -Value 'import site'
-Invoke-WebRequest -Uri https://bootstrap.pypa.io/get-pip.py -OutFile get-pip.py
-.\python.exe get-pip.py
-python -m pip wheel torch torchvision torchaudio --pre --extra-index-url https://download.pytorch.org/whl/nightly/cu118 -r ../ComfyUI/requirements.txt pygit2 -w ../temp_wheel_dir
-ls ../temp_wheel_dir
-.\python.exe -s -m pip install --pre (get-item ..\temp_wheel_dir\*)
-"../ComfyUI`n" + (Get-Content .\python310._pth -Raw) | Set-Content .\python310._pth
-cd ..
-
-mkdir ComfyUI_windows_portable_nightly_pytorch
-mv python_embeded ComfyUI_windows_portable_nightly_pytorch
-mv ComfyUI_copy ComfyUI_windows_portable_nightly_pytorch/ComfyUI
-
-cd ComfyUI_windows_portable_nightly_pytorch
-
-mkdir update
-cp ComfyUI/.ci/nightly/update_windows/* ./update/
-cp ComfyUI/.ci/nightly/windows_base_files/* ./
-
-cd ..
-
-& "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma -mx=8 -mfb=64 -md=32m -ms=on ComfyUI_windows_portable_nightly_pytorch.7z ComfyUI_windows_portable_nightly_pytorch
-mv ComfyUI_windows_portable_nightly_pytorch.7z ComfyUI/ComfyUI_windows_portable_nvidia_or_cpu_nightly_pytorch.7z

.ci/update_windows_cu118/update_comfyui_and_python_dependencies.bat

@@ -0,0 +1,4 @@
+..\python_embeded\python.exe .\update.py ..\ComfyUI\
+..\python_embeded\python.exe -s -m pip install --upgrade torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu118 xformers -r ../ComfyUI/requirements.txt pygit2
+echo NOTE If you get an error with pip you can ignore it, it's pip being pip as usual, your ComfyUI should have updated anyways.
+pause

.ci/windows_base_files/README_VERY_IMPORTANT.txt

@@ -17,6 +17,11 @@ IF YOU GET A RED ERROR IN THE UI MAKE SURE YOU HAVE A MODEL/CHECKPOINT IN: Comfy
 You can download the stable diffusion 1.5 one from: https://huggingface.co/runwayml/stable-diffusion-v1-5/blob/main/v1-5-pruned-emaonly.ckpt
 
 
+RECOMMENDED WAY TO UPDATE:
+To update the ComfyUI code: update\update_comfyui.bat
+
+
+
+To update ComfyUI with the python dependencies, note that you should ONLY run this if you have issues with python dependencies.
+update\update_comfyui_and_python_dependencies.bat
 
-To update only the ComfyUI code: update\update_comfyui_only.bat
-To update ComfyUI with the python dependencies: update\update_all.bat

.github/workflows/windows_release.yml

@@ -18,13 +18,42 @@ jobs:
           with:
             fetch-depth: 0
 
-        - run: |
+        - shell: bash
+          run: |
             cd ..
-            cp ComfyUI/.ci/setup_windows_zip.ps1 ./
             cp -r ComfyUI ComfyUI_copy
-            .\setup_windows_zip.ps1
+            curl https://www.python.org/ftp/python/3.10.9/python-3.10.9-embed-amd64.zip -o python_embeded.zip
+            unzip python_embeded.zip -d python_embeded
+            cd python_embeded
+            echo 'import site' >> ./python310._pth
+            curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
+            ./python.exe get-pip.py
+            ./python.exe -s -m pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117 xformers -r ../ComfyUI/requirements.txt pygit2
+            sed -i '1i../ComfyUI' ./python310._pth
+            cd ..
+
+
+            mkdir ComfyUI_windows_portable
+            mv python_embeded ComfyUI_windows_portable
+            mv ComfyUI_copy ComfyUI_windows_portable/ComfyUI
+
+            cd ComfyUI_windows_portable
+
+            mkdir update
+            cp -r ComfyUI/.ci/update_windows/* ./update/
+            cp -r ComfyUI/.ci/windows_base_files/* ./
+
+            cd ..
+
+            "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma -mx=8 -mfb=64 -md=32m -ms=on ComfyUI_windows_portable.7z ComfyUI_windows_portable
+            mv ComfyUI_windows_portable.7z ComfyUI/ComfyUI_windows_portable_nvidia_or_cpu.7z
+
+            cd ComfyUI_windows_portable
+            python_embeded/python.exe -s ComfyUI/main.py --quick-test-for-ci --cpu
+
             ls
 
+
         - name: Upload binaries to release
           uses: svenstaro/upload-release-action@v2
           with:

.github/workflows/windows_release_cu118.yml

@@ -0,0 +1,141 @@
+name: "Windows Release cu118"
+
+on:
+  workflow_dispatch:
+#  push:
+#    branches:
+#      - master
+
+jobs:
+  build_dependencies:
+    env:
+        # you need at least cuda 5.0 for some of the stuff compiled here.
+        TORCH_CUDA_ARCH_LIST: "5.0+PTX 6.0 6.1 7.0 7.5 8.0 8.6 8.9"
+        FORCE_CUDA: 1
+        MAX_JOBS: 1 # will crash otherwise
+        DISTUTILS_USE_SDK: 1 # otherwise distutils will complain on windows about multiple versions of msvc
+        XFORMERS_BUILD_TYPE: "Release"
+    runs-on: windows-latest
+    steps:
+        - name: Cache Built Dependencies
+          uses: actions/cache@v3
+          id: cache-cu118_python_stuff
+          with:
+            path: cu118_python_deps.tar
+            key: ${{ runner.os }}-build-cu118
+
+        - if: ${{ steps.cache-cu118_python_stuff.cache-hit != 'true' }}
+          uses: actions/checkout@v3
+
+        - if: ${{ steps.cache-cu118_python_stuff.cache-hit != 'true' }}
+          uses: actions/setup-python@v4
+          with:
+            python-version: '3.10.9'
+
+        - if: ${{ steps.cache-cu118_python_stuff.cache-hit != 'true' }}
+          uses: comfyanonymous/cuda-toolkit@test
+          id: cuda-toolkit
+          with:
+            cuda: '11.8.0'
+        # copied from xformers github
+        - name: Setup MSVC
+          uses: ilammy/msvc-dev-cmd@v1
+        - name: Configure Pagefile
+          # windows runners will OOM with many CUDA architectures
+          # we cheat here with a page file
+          uses: al-cheb/configure-pagefile-action@v1.3
+          with:
+            minimum-size: 2GB
+        # really unfortunate: https://github.com/ilammy/msvc-dev-cmd#name-conflicts-with-shell-bash
+        - name: Remove link.exe
+          shell: bash
+          run: rm /usr/bin/link
+
+        - if: ${{ steps.cache-cu118_python_stuff.cache-hit != 'true' }}
+          shell: bash
+          run: |
+            python -m pip wheel --no-cache-dir torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu118 -r requirements.txt pygit2 -w ./temp_wheel_dir
+            python -m pip install --no-cache-dir ./temp_wheel_dir/*
+            echo installed basic
+            git clone --recurse-submodules https://github.com/facebookresearch/xformers.git
+            cd xformers
+            python -m pip install --no-cache-dir wheel setuptools twine
+            echo building xformers
+            python setup.py bdist_wheel -d ../temp_wheel_dir/
+            cd ..
+            rm -rf xformers
+            ls -lah temp_wheel_dir
+            mv temp_wheel_dir cu118_python_deps
+            tar cf cu118_python_deps.tar cu118_python_deps
+        - uses: actions/upload-artifact@v3
+          with:
+            name: cu118_python_deps
+            path: cu118_python_deps.tar
+
+
+  package_comfyui:
+    needs: build_dependencies
+    permissions:
+        contents: "write"
+        packages: "write"
+        pull-requests: "read"
+    runs-on: windows-latest
+    steps:
+        - uses: actions/download-artifact@v3
+          with:
+            name: cu118_python_deps
+        - shell: bash
+          run: |
+            mv cu118_python_deps.tar ../
+            cd ..
+            tar xf cu118_python_deps.tar
+            pwd
+            ls
+
+        - uses: actions/checkout@v3
+          with:
+            fetch-depth: 0
+        - shell: bash
+          run: |
+            cd ..
+            cp -r ComfyUI ComfyUI_copy
+            curl https://www.python.org/ftp/python/3.10.9/python-3.10.9-embed-amd64.zip -o python_embeded.zip
+            unzip python_embeded.zip -d python_embeded
+            cd python_embeded
+            echo 'import site' >> ./python310._pth
+            curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
+            ./python.exe get-pip.py
+            ./python.exe -s -m pip install ../cu118_python_deps/*
+            sed -i '1i../ComfyUI' ./python310._pth
+            cd ..
+
+
+            mkdir ComfyUI_windows_portable
+            mv python_embeded ComfyUI_windows_portable
+            mv ComfyUI_copy ComfyUI_windows_portable/ComfyUI
+
+            cd ComfyUI_windows_portable
+
+            mkdir update
+            cp -r ComfyUI/.ci/update_windows/* ./update/
+            cp -r ComfyUI/.ci/update_windows_cu118/* ./update/
+            cp -r ComfyUI/.ci/windows_base_files/* ./
+
+            cd ..
+
+            "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma -mx=8 -mfb=64 -md=32m -ms=on ComfyUI_windows_portable.7z ComfyUI_windows_portable
+            mv ComfyUI_windows_portable.7z ComfyUI/ComfyUI_windows_portable_nvidia_cu118_or_cpu.7z
+
+            cd ComfyUI_windows_portable
+            python_embeded/python.exe -s ComfyUI/main.py --quick-test-for-ci --cpu
+
+            ls
+
+        - name: Upload binaries to release
+          uses: svenstaro/upload-release-action@v2
+          with:
+                repo_token: ${{ secrets.GITHUB_TOKEN }}
+                file: ComfyUI_windows_portable_nvidia_cu118_or_cpu.7z
+                tag: "latest"
+                overwrite: true
+

.github/workflows/windows_release_nightly_pytorch.yml

@@ -20,11 +20,41 @@ jobs:
         - uses: actions/setup-python@v4
           with:
             python-version: '3.10.9'
-        - run: |
+        - shell: bash
+          run: |
             cd ..
-            cp ComfyUI/.ci/setup_windows_zip_nightly_pytorch.ps1 ./
             cp -r ComfyUI ComfyUI_copy
-            .\setup_windows_zip_nightly_pytorch.ps1
+            curl https://www.python.org/ftp/python/3.10.9/python-3.10.9-embed-amd64.zip -o python_embeded.zip
+            unzip python_embeded.zip -d python_embeded
+            cd python_embeded
+            echo 'import site' >> ./python310._pth
+            curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
+            ./python.exe get-pip.py
+            python -m pip wheel torch torchvision torchaudio --pre --extra-index-url https://download.pytorch.org/whl/nightly/cu118 -r ../ComfyUI/requirements.txt pygit2 -w ../temp_wheel_dir
+            ls ../temp_wheel_dir
+            ./python.exe -s -m pip install --pre ../temp_wheel_dir/*
+            sed -i '1i../ComfyUI' ./python310._pth
+            cd ..
+
+
+            mkdir ComfyUI_windows_portable_nightly_pytorch
+            mv python_embeded ComfyUI_windows_portable_nightly_pytorch
+            mv ComfyUI_copy ComfyUI_windows_portable_nightly_pytorch/ComfyUI
+
+            cd ComfyUI_windows_portable_nightly_pytorch
+
+            mkdir update
+            cp -r ComfyUI/.ci/update_windows/* ./update/
+            cp -r ComfyUI/.ci/windows_base_files/* ./
+
+            cd ..
+
+            "C:\Program Files\7-Zip\7z.exe" a -t7z -m0=lzma -mx=8 -mfb=64 -md=32m -ms=on ComfyUI_windows_portable_nightly_pytorch.7z ComfyUI_windows_portable_nightly_pytorch
+            mv ComfyUI_windows_portable_nightly_pytorch.7z ComfyUI/ComfyUI_windows_portable_nvidia_or_cpu_nightly_pytorch.7z
+
+            cd ComfyUI_windows_portable_nightly_pytorch
+            python_embeded/python.exe -s ComfyUI/main.py --quick-test-for-ci --cpu
+
             ls
 
         - name: Upload binaries to release

README.md

@@ -56,23 +56,14 @@ At the time of writing this pytorch has issues with python versions higher than
 ### AMD (Linux only)
 AMD users can install rocm and pytorch with pip if you don't have it already installed, this is the command to install the stable version:
 
-```pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/rocm5.2```
-
-
-I highly recommend you use the nightly/unstable pytorch builds though because they work a lot better for me (run this in the ComfyUI folder so it picks up the requirements.txt):
-
-```pip install --upgrade --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/rocm5.4.2 -r requirements.txt```
+```pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/rocm5.4.2```
 
 
 ### NVIDIA
 
-Nvidia users should install torch using this command:
+Nvidia users should install torch and xformers using this command:
 
-```pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117```
-
-Nvidia users should also install Xformers for a speed boost but can still run the software without it.
-
-```pip install xformers```
+```pip install torch==1.13.1 torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117 xformers```
 
 #### Troubleshooting
 

comfy/model_management.py

@@ -50,8 +50,6 @@ if "--use-pytorch-cross-attention" in sys.argv:
     XFORMERS_IS_AVAILBLE = False
 
 
-if "--cpu" in sys.argv:
-    vram_state = CPU
 if "--lowvram" in sys.argv:
     set_vram_to = LOW_VRAM
 if "--novram" in sys.argv:
@@ -73,6 +71,8 @@ if set_vram_to == LOW_VRAM or set_vram_to == NO_VRAM:
     total_vram_available_mb = (total_vram - 1024) // 2
     total_vram_available_mb = int(max(256, total_vram_available_mb))
 
+if "--cpu" in sys.argv:
+    vram_state = CPU
 
 print("Set vram state to:", ["CPU", "NO VRAM", "LOW VRAM", "NORMAL VRAM", "HIGH VRAM"][vram_state])
 

comfy_extras/nodes_upscale_model.py

@@ -1,7 +1,7 @@
 import os
 from comfy_extras.chainner_models import model_loading
 from comfy.sd import load_torch_file
-import comfy.model_management
+import model_management
 from nodes import filter_files_extensions, recursive_search, supported_ckpt_extensions, extract_arg_values
 import torch
 import comfy.utils
@@ -38,7 +38,7 @@ class ImageUpscaleWithModel:
     CATEGORY = "image/upscaling"
 
     def upscale(self, upscale_model, image):
-        device = comfy.model_management.get_torch_device()
+        device = model_management.get_torch_device()
         upscale_model.to(device)
         in_img = image.movedim(-1,-3).to(device)
         s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=128 + 64, tile_y=128 + 64, overlap = 8, upscale_amount=upscale_model.scale)

main.py

@@ -1,5 +1,6 @@
 import os
 import sys
+import shutil
 
 import threading
 import asyncio
@@ -66,7 +67,14 @@ def hijack_progress(server):
         return v
     setattr(tqdm, "update", wrapped_func)
 
+def cleanup_temp():
+    temp_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "temp")
+    if os.path.exists(temp_dir):
+        shutil.rmtree(temp_dir, ignore_errors=True)
+
 if __name__ == "__main__":
+    cleanup_temp()
+
     loop = asyncio.new_event_loop()
     asyncio.set_event_loop(loop)
     server = server.PromptServer(loop)
@@ -91,6 +99,9 @@ if __name__ == "__main__":
     except:
         pass
 
+    if '--quick-test-for-ci' in sys.argv:
+        exit(0)
+
     call_on_start = None
     if "--windows-standalone-build" in sys.argv:
         def startup_server(address, port):
@@ -106,3 +117,4 @@ if __name__ == "__main__":
     else:
         loop.run_until_complete(run(server, address=address, port=port, verbose=not dont_print, call_on_start=call_on_start))
 
+    cleanup_temp()

nodes.py

@@ -700,8 +700,8 @@ def common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive,
         if t.shape[0] < noise.shape[0]:
             t = torch.cat([t] * noise.shape[0])
         t = t.to(device)
-        if 'control' in p[1]:
-            control_nets += [p[1]['control']]
+        if 'control' in n[1]:
+            control_nets += [n[1]['control']]
         negative_copy += [[t] + n[1:]]
 
     control_net_models = []
@@ -784,6 +784,7 @@ class KSamplerAdvanced:
 class SaveImage:
     def __init__(self):
         self.output_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "output")
+        self.url_suffix = ""
 
     @classmethod
     def INPUT_TYPES(s):
@@ -817,6 +818,9 @@ class SaveImage:
             os.mkdir(self.output_dir)
             counter = 1
 
+        if not os.path.exists(self.output_dir):
+            os.makedirs(self.output_dir)
+
         paths = list()
         for image in images:
             i = 255. * image.cpu().numpy()
@@ -829,10 +833,22 @@ class SaveImage:
                     metadata.add_text(x, json.dumps(extra_pnginfo[x]))
             file = f"{filename_prefix}_{counter:05}_.png"
             img.save(os.path.join(self.output_dir, file), pnginfo=metadata, optimize=True)
-            paths.append(file)
+            paths.append(file + self.url_suffix)
             counter += 1
         return { "ui": { "images": paths } }
 
+class PreviewImage(SaveImage):
+    def __init__(self):
+        self.output_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "temp")
+        self.url_suffix = "?type=temp"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"images": ("IMAGE", ), },
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+                }
+
 class LoadImage:
     input_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "input")
     @classmethod
@@ -953,6 +969,7 @@ NODE_CLASS_MAPPINGS = {
     "EmptyLatentImage": EmptyLatentImage,
     "LatentUpscale": LatentUpscale,
     "SaveImage": SaveImage,
+    "PreviewImage": PreviewImage,
     "LoadImage": LoadImage,
     "LoadImageMask": LoadImageMask,
     "ImageScale": ImageScale,

server.py

@@ -113,7 +113,7 @@ class PromptServer():
         async def view_image(request):
             if "file" in request.match_info:
                 type = request.rel_url.query.get("type", "output")
-                if type != "output" and type != "input":
+                if type not in ["output", "input", "temp"]:
                     return web.Response(status=400)
 
                 output_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), type)

web/scripts/app.js

@@ -142,7 +142,14 @@ class ComfyApp {
 					if (numImages === 1 && !imageIndex) {
 						this.imageIndex = imageIndex = 0;
 					}
-					let shiftY = this.type === "SaveImage" ? 55 : this.imageOffset || 0;
+
+					let shiftY;
+					if (this.imageOffset != null) {
+						shiftY = this.imageOffset;
+					} else {
+						shiftY = this.computeSize()[1];
+					}
+
 					let dw = this.size[0];
 					let dh = this.size[1];
 					dh -= shiftY;
@@ -284,9 +291,47 @@ class ComfyApp {
 		document.addEventListener("drop", async (event) => {
 			event.preventDefault();
 			event.stopPropagation();
-			const file = event.dataTransfer.files[0];
-			await this.handleFile(file);
+
+			const n = this.dragOverNode;
+			this.dragOverNode = null;
+			// Node handles file drop, we dont use the built in onDropFile handler as its buggy
+			// If you drag multiple files it will call it multiple times with the same file
+			if (n && n.onDragDrop && (await n.onDragDrop(event))) {
+				return;
+			}
+
+			await this.handleFile(event.dataTransfer.files[0]);
 		});
+
+		// Always clear over node on drag leave
+		this.canvasEl.addEventListener("dragleave", async () => {
+			if (this.dragOverNode) {
+				this.dragOverNode = null;
+				this.graph.setDirtyCanvas(false, true);
+			}
+		});
+
+		// Add handler for dropping onto a specific node
+		this.canvasEl.addEventListener(
+			"dragover",
+			(e) => {
+				this.canvas.adjustMouseEvent(e);
+				const node = this.graph.getNodeOnPos(e.canvasX, e.canvasY);
+				if (node) {
+					if (node.onDragOver && node.onDragOver(e)) {
+						this.dragOverNode = node;
+
+						// dragover event is fired very frequently, run this on an animation frame
+						requestAnimationFrame(() => {
+							this.graph.setDirtyCanvas(false, true);
+						});
+						return;
+					}
+				}
+				this.dragOverNode = null;
+			},
+			false
+		);
 	}
 
 	/**
@@ -314,15 +359,22 @@ class ComfyApp {
 	}
 
 	/**
-	 * Draws currently executing node highlight and progress bar
+	 * Draws node highlights (executing, drag drop) and progress bar
 	 */
-	#addDrawNodeProgressHandler() {
+	#addDrawNodeHandler() {
 		const orig = LGraphCanvas.prototype.drawNodeShape;
 		const self = this;
 		LGraphCanvas.prototype.drawNodeShape = function (node, ctx, size, fgcolor, bgcolor, selected, mouse_over) {
 			const res = orig.apply(this, arguments);
 
-			if (node.id + "" === self.runningNodeId) {
+			let color = null;
+			if (node.id === +self.runningNodeId) {
+				color = "#0f0";
+			} else if (self.dragOverNode && node.id === self.dragOverNode.id) {
+				color = "dodgerblue";
+			}
+
+			if (color) {
 				const shape = node._shape || node.constructor.shape || LiteGraph.ROUND_SHAPE;
 				ctx.lineWidth = 1;
 				ctx.globalAlpha = 0.8;
@@ -348,7 +400,7 @@ class ComfyApp {
 					);
 				else if (shape == LiteGraph.CIRCLE_SHAPE)
 					ctx.arc(size[0] * 0.5, size[1] * 0.5, size[0] * 0.5 + 6, 0, Math.PI * 2);
-				ctx.strokeStyle = "#0f0";
+				ctx.strokeStyle = color;
 				ctx.stroke();
 				ctx.strokeStyle = fgcolor;
 				ctx.globalAlpha = 1;
@@ -398,6 +450,15 @@ class ComfyApp {
 		api.init();
 	}
 
+	#addKeyboardHandler() {
+		window.addEventListener("keydown", (e) => {
+			// Queue prompt using ctrl or command + enter
+			if ((e.ctrlKey || e.metaKey) && (e.key === "Enter" || e.keyCode === 13 || e.keyCode === 10)) {
+				this.queuePrompt(e.shiftKey ? -1 : 0);
+			}
+		});
+	}
+
 	/**
 	 * Loads all extensions from the API into the window
 	 */
@@ -419,7 +480,7 @@ class ComfyApp {
 		await this.#loadExtensions();
 
 		// Create and mount the LiteGraph in the DOM
-		const canvasEl = Object.assign(document.createElement("canvas"), { id: "graph-canvas" });
+		const canvasEl = (this.canvasEl = Object.assign(document.createElement("canvas"), { id: "graph-canvas" }));
 		document.body.prepend(canvasEl);
 
 		this.graph = new LGraph();
@@ -460,10 +521,11 @@ class ComfyApp {
 		// Save current workflow automatically
 		setInterval(() => localStorage.setItem("workflow", JSON.stringify(this.graph.serialize())), 1000);
 
-		this.#addDrawNodeProgressHandler();
+		this.#addDrawNodeHandler();
 		this.#addApiUpdateHandlers();
 		this.#addDropHandler();
 		this.#addPasteHandler();
+		this.#addKeyboardHandler();
 
 		await this.#invokeExtensionsAsync("setup");
 	}
@@ -497,7 +559,11 @@ class ComfyApp {
 
 						if (Array.isArray(type)) {
 							// Enums e.g. latent rotation
-							this.addWidget("combo", inputName, type[0], () => {}, { values: type });
+							let defaultValue = type[0];
+							if (inputData[1] && inputData[1].default) {
+								defaultValue = inputData[1].default;
+							}
+							this.addWidget("combo", inputName, defaultValue, () => {}, { values: type });
 						} else if (`${type}:${inputName}` in widgets) {
 							// Support custom widgets by Type:Name
 							Object.assign(config, widgets[`${type}:${inputName}`](this, inputName, inputData, app) || {});
@@ -641,31 +707,33 @@ class ComfyApp {
 		return { workflow, output };
 	}
 
-	async queuePrompt(number) {
-		const p = await this.graphToPrompt();
+	async queuePrompt(number, batchCount = 1) {
+		for (let i = 0; i < batchCount; i++) {
+			const p = await this.graphToPrompt();
 
-		try {
-			await api.queuePrompt(number, p);
-		} catch (error) {
-			this.ui.dialog.show(error.response || error.toString());
-			return;
-		}
+			try {
+				await api.queuePrompt(number, p);
+			} catch (error) {
+				this.ui.dialog.show(error.response || error.toString());
+				return;
+			}
 
-		for (const n of p.workflow.nodes) {
-			const node = graph.getNodeById(n.id);
-			if (node.widgets) {
-				for (const widget of node.widgets) {
-					// Allow widgets to run callbacks after a prompt has been queued
-					// e.g. random seed after every gen
-					if (widget.afterQueued) {
-						widget.afterQueued();
+			for (const n of p.workflow.nodes) {
+				const node = graph.getNodeById(n.id);
+				if (node.widgets) {
+					for (const widget of node.widgets) {
+						// Allow widgets to run callbacks after a prompt has been queued
+						// e.g. random seed after every gen
+						if (widget.afterQueued) {
+							widget.afterQueued();
+						}
 					}
 				}
 			}
-		}
 
-		this.canvas.draw(true, true);
-		await this.ui.queue.update();
+			this.canvas.draw(true, true);
+			await this.ui.queue.update();
+		}
 	}
 
 	/**

web/scripts/ui.js

@@ -231,6 +231,7 @@ export class ComfyUI {
 		this.dialog = new ComfyDialog();
 		this.settings = new ComfySettingsDialog();
 
+		this.batchCount = 1;
 		this.queue = new ComfyList("Queue");
 		this.history = new ComfyList("History");
 
@@ -254,9 +255,35 @@ export class ComfyUI {
 				$el("span", { $: (q) => (this.queueSize = q) }),
 				$el("button.comfy-settings-btn", { textContent: "⚙️", onclick: () => this.settings.show() }),
 			]),
-			$el("button.comfy-queue-btn", { textContent: "Queue Prompt", onclick: () => app.queuePrompt(0) }),
+			$el("button.comfy-queue-btn", { textContent: "Queue Prompt", onclick: () => app.queuePrompt(0, this.batchCount) }),
+			$el("div", {}, [
+				$el("label", { innerHTML: "Extra options"}, [
+					$el("input", { type: "checkbox", 
+						onchange: (i) => { 
+							document.getElementById('extraOptions').style.display = i.srcElement.checked ? "block" : "none";
+							this.batchCount = i.srcElement.checked ? document.getElementById('batchCountInputRange').value : 1;
+						}
+					})
+				])
+			]),
+			$el("div", { id: "extraOptions", style: { width: "100%", display: "none" }}, [
+				$el("label", { innerHTML: "Batch count" }, [
+					$el("input", { id: "batchCountInputNumber", type: "number", value: this.batchCount, min: "1", style: { width: "35%", "margin-left": "0.4em" }, 
+						oninput: (i) => { 
+							this.batchCount = i.target.value;
+							document.getElementById('batchCountInputRange').value = this.batchCount;
+						}
+					}),
+					$el("input", { id: "batchCountInputRange", type: "range", min: "1", max: "100", value: this.batchCount, 
+						oninput: (i) => {
+							this.batchCount = i.srcElement.value;
+							document.getElementById('batchCountInputNumber').value = i.srcElement.value;
+						}
+					}),
+				]),
+			]),
 			$el("div.comfy-menu-btns", [
-				$el("button", { textContent: "Queue Front", onclick: () => app.queuePrompt(-1) }),
+				$el("button", { textContent: "Queue Front", onclick: () => app.queuePrompt(-1, this.batchCount) }),
 				$el("button", {
 					$: (b) => (this.queue.button = b),
 					textContent: "View Queue",

web/scripts/widgets.js

@@ -132,7 +132,7 @@ export const ComfyWidgets = {
 
 		function showImage(name) {
 			// Position the image somewhere sensible
-			if(!node.imageOffset) {
+			if (!node.imageOffset) {
 				node.imageOffset = uploadWidget.last_y ? uploadWidget.last_y + 25 : 75;
 			}
 
@@ -162,6 +162,36 @@ export const ComfyWidgets = {
 			}
 		});
 
+		async function uploadFile(file, updateNode) {
+			try {
+				// Wrap file in formdata so it includes filename
+				const body = new FormData();
+				body.append("image", file);
+				const resp = await fetch("/upload/image", {
+					method: "POST",
+					body,
+				});
+
+				if (resp.status === 200) {
+					const data = await resp.json();
+					// Add the file as an option and update the widget value
+					if (!imageWidget.options.values.includes(data.name)) {
+						imageWidget.options.values.push(data.name);
+					}
+
+					if (updateNode) {
+						showImage(data.name);
+
+						imageWidget.value = data.name;
+					}
+				} else {
+					alert(resp.status + " - " + resp.statusText);
+				}
+			} catch (error) {
+				alert(error);
+			}
+		}
+
 		const fileInput = document.createElement("input");
 		Object.assign(fileInput, {
 			type: "file",
@@ -169,30 +199,7 @@ export const ComfyWidgets = {
 			style: "display: none",
 			onchange: async () => {
 				if (fileInput.files.length) {
-					try {
-						// Wrap file in formdata so it includes filename
-						const body = new FormData();
-						body.append("image", fileInput.files[0]);
-						const resp = await fetch("/upload/image", {
-							method: "POST",
-							body,
-						});
-
-						if (resp.status === 200) {
-							const data = await resp.json();
-							showImage(data.name);
-
-							// Add the file as an option and update the widget value
-							if (!imageWidget.options.values.includes(data.name)) {
-								imageWidget.options.values.push(data.name);
-							}
-							imageWidget.value = data.name;
-						} else {
-							alert(resp.status + " - " + resp.statusText);
-						}
-					} catch (error) {
-						alert(error);
-					}
+					await uploadFile(fileInput.files[0], true);
 				}
 			},
 		});
@@ -204,6 +211,30 @@ export const ComfyWidgets = {
 		});
 		uploadWidget.serialize = false;
 
+		// Add handler to check if an image is being dragged over our node
+		node.onDragOver = function (e) {
+			if (e.dataTransfer && e.dataTransfer.items) {
+				const image = [...e.dataTransfer.items].find((f) => f.kind === "file" && f.type.startsWith("image/"));
+				return !!image;
+			}
+
+			return false;
+		};
+
+		// On drop upload files
+		node.onDragDrop = function (e) {
+			console.log("onDragDrop called");
+			let handled = false;
+			for (const file of e.dataTransfer.files) {
+				if (file.type.startsWith("image/")) {
+					uploadFile(file, !handled); // Dont await these, any order is fine, only update on first one
+					handled = true;
+				}
+			}
+
+			return handled;
+		};
+
 		return { widget: uploadWidget };
 	},
 };