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Merge branch 'master' into v3-definition
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commit
94e6119f9f
8
.github/ISSUE_TEMPLATE/bug-report.yml
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8
.github/ISSUE_TEMPLATE/bug-report.yml
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@ -15,6 +15,14 @@ body:
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steps to replicate what went wrong and others will be able to repeat your steps and see the same issue happen.
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If unsure, ask on the [ComfyUI Matrix Space](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) or the [Comfy Org Discord](https://discord.gg/comfyorg) first.
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- type: checkboxes
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id: custom-nodes-test
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attributes:
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label: Custom Node Testing
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description: Please confirm you have tried to reproduce the issue with all custom nodes disabled.
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options:
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- label: I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-with-all-custom-nodes-disabled) if you need help)
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required: true
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- type: textarea
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attributes:
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label: Expected Behavior
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8
.github/ISSUE_TEMPLATE/user-support.yml
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8
.github/ISSUE_TEMPLATE/user-support.yml
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@ -11,6 +11,14 @@ body:
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**2:** You have made an effort to find public answers to your question before asking here. In other words, you googled it first, and scrolled through recent help topics.
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If unsure, ask on the [ComfyUI Matrix Space](https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) or the [Comfy Org Discord](https://discord.gg/comfyorg) first.
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- type: checkboxes
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id: custom-nodes-test
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attributes:
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label: Custom Node Testing
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description: Please confirm you have tried to reproduce the issue with all custom nodes disabled.
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options:
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- label: I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-with-all-custom-nodes-disabled) if you need help)
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required: true
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- type: textarea
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attributes:
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label: Your question
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@ -102,6 +102,13 @@ def model_sampling(model_config, model_type):
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return ModelSampling(model_config)
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def convert_tensor(extra, dtype):
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if hasattr(extra, "dtype"):
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if extra.dtype != torch.int and extra.dtype != torch.long:
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extra = extra.to(dtype)
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return extra
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class BaseModel(torch.nn.Module):
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def __init__(self, model_config, model_type=ModelType.EPS, device=None, unet_model=UNetModel):
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super().__init__()
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@ -165,13 +172,13 @@ class BaseModel(torch.nn.Module):
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extra_conds = {}
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for o in kwargs:
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extra = kwargs[o]
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if hasattr(extra, "dtype"):
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if extra.dtype != torch.int and extra.dtype != torch.long:
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extra = extra.to(dtype)
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if isinstance(extra, list):
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extra = convert_tensor(extra, dtype)
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elif isinstance(extra, list):
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ex = []
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for ext in extra:
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ex.append(ext.to(dtype))
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ex.append(convert_tensor(ext, dtype))
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extra = ex
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extra_conds[o] = extra
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@ -16,7 +16,8 @@ from inspect import cleandoc
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import torch
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import comfy.utils
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from comfy.comfy_types import FileLocator
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from comfy.comfy_types import FileLocator, IO
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from server import PromptServer
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MAX_RESOLUTION = nodes.MAX_RESOLUTION
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@ -491,6 +492,36 @@ class SaveSVGNode:
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counter += 1
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return { "ui": { "images": results } }
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class GetImageSize:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"image": (IO.IMAGE,),
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},
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"hidden": {
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"unique_id": "UNIQUE_ID",
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}
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}
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RETURN_TYPES = (IO.INT, IO.INT)
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RETURN_NAMES = ("width", "height")
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FUNCTION = "get_size"
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CATEGORY = "image"
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DESCRIPTION = """Returns width and height of the image, and passes it through unchanged."""
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def get_size(self, image, unique_id=None) -> tuple[int, int]:
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height = image.shape[1]
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width = image.shape[2]
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# Send progress text to display size on the node
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if unique_id:
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PromptServer.instance.send_progress_text(f"width: {width}, height: {height}", unique_id)
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return width, height
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NODE_CLASS_MAPPINGS = {
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"ImageCrop": ImageCrop,
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"RepeatImageBatch": RepeatImageBatch,
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@ -500,4 +531,5 @@ NODE_CLASS_MAPPINGS = {
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"SaveAnimatedPNG": SaveAnimatedPNG,
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"SaveSVGNode": SaveSVGNode,
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"ImageStitch": ImageStitch,
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"GetImageSize": GetImageSize,
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}
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1
nodes.py
1
nodes.py
@ -2068,6 +2068,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
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"ImageQuantize": "Image Quantize",
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"ImageSharpen": "Image Sharpen",
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"ImageScaleToTotalPixels": "Scale Image to Total Pixels",
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"GetImageSize": "Get Image Size",
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# _for_testing
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"VAEDecodeTiled": "VAE Decode (Tiled)",
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"VAEEncodeTiled": "VAE Encode (Tiled)",
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@ -1,5 +1,5 @@
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comfyui-frontend-package==1.21.3
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comfyui-workflow-templates==0.1.23
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comfyui-frontend-package==1.21.6
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comfyui-workflow-templates==0.1.25
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comfyui-embedded-docs==0.2.0
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torch
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torchsde
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@ -391,7 +391,7 @@ class PromptServer():
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async def view_image(request):
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if "filename" in request.rel_url.query:
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filename = request.rel_url.query["filename"]
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filename,output_dir = folder_paths.annotated_filepath(filename)
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filename, output_dir = folder_paths.annotated_filepath(filename)
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if not filename:
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return web.Response(status=400)
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@ -477,9 +477,8 @@ class PromptServer():
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# Get content type from mimetype, defaulting to 'application/octet-stream'
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content_type = mimetypes.guess_type(filename)[0] or 'application/octet-stream'
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# For security, force certain extensions to download instead of display
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file_extension = os.path.splitext(filename)[1].lower()
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if file_extension in {'.html', '.htm', '.js', '.css'}:
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# For security, force certain mimetypes to download instead of display
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if content_type in {'text/html', 'text/html-sandboxed', 'application/xhtml+xml', 'text/javascript', 'text/css'}:
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content_type = 'application/octet-stream' # Forces download
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return web.FileResponse(
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@ -5,7 +5,10 @@ from unittest.mock import patch, MagicMock
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mock_nodes = MagicMock()
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mock_nodes.MAX_RESOLUTION = 16384
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with patch.dict('sys.modules', {'nodes': mock_nodes}):
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# Mock server module for PromptServer
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mock_server = MagicMock()
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with patch.dict('sys.modules', {'nodes': mock_nodes, 'server': mock_server}):
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from comfy_extras.nodes_images import ImageStitch
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