Compare commits

...
Author SHA1 Message Date
BennyKok 9beac36d0f skip: sending the upload status, make sure, we are also sending the success status after all files is uploaded 2025-04-21 14:18:18 +08:00
BennyKok 313ce956fd Fix preview image loading and add support for 3D model uploads 2025-04-21 14:08:56 +08:00
bennykok fe2d9b82b5 fix: extra options form enum list for some node 2025-04-16 17:09:51 +08:00
bennykok 22858abb31 feat: add external enum node 2025-04-16 16:18:56 +08:00
bennykok 99a5f71b2c feat: add external enum node 2025-04-16 11:52:20 +08:00
bennykok 1810d4ecdb feat: improvement to convert external inputs system 2025-04-16 01:12:28 +08:00
bennykok 3593f0b37e fix: convert external inputs layout issues 2025-04-16 00:10:39 +08:00
bennykok 858a3bcda4 fix rendering problems 2025-04-14 18:08:42 +08:00
bennykok 484147f5b4 fix convert shortcut for string type 2025-04-14 17:59:57 +08:00
Vivek 61a8f1123e fixed a minor issue related to external inputs (#84) 2025-04-14 17:56:27 +08:00
EmmanuelMr18 46b056290d fix(workflows): correct typo in masks example workflow name 2025-04-07 01:31:17 -06:00
EmmanuelMr18 2cf0497823 chore(workflows): convert example workflow previews to JPG format 2025-04-07 01:27:01 -06:00
EmmanuelMr18 4b5eec4e4c feat(workflows): add example workflows for ComfyUI templates 2025-04-07 01:20:46 -06:00
Emmanuel Morales 17c48c7d4f chore: remove model_list custom node
This node was created just for an experiment in the previous year, but never was a core feature.

I'm removing it because looks that is braking the import in local machines because i'm seeing this error locally:

```
  File "F:\ComfyUI\custom_nodes\comfyui-deploy\comfy-nodes\model_list.py", line 35, in <module>
    allModels = fetch_files("./models")
                ^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\ComfyUI\custom_nodes\comfyui-deploy\comfy-nodes\model_list.py", line 23, in fetch_files
    fs.extend(fetch_files(f"{dirpath}/{dirname}"))
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\ComfyUI\custom_nodes\comfyui-deploy\comfy-nodes\model_list.py", line 23, in fetch_files
    fs.extend(fetch_files(f"{dirpath}/{dirname}"))
TypeError: 'NoneType' object is not iterable

Cannot import F:\ComfyUI\custom_nodes\comfyui-deploy module for custom nodes: 'NoneType' object is not iterable
```


I'm not sure why, previously was working but was a long time ago and this node was just an experiment, so i'm deleting it
2025-04-05 21:28:37 -06:00
BennyKok cd3a2ff547 Update custom_routes.py
random seed for XlabsSampler
2025-04-03 16:58:49 +02:00
bennykok 62f8e388bb update version and toml file 2025-04-01 12:56:55 +02:00
Robin Huangandsnomiao f86c08baed chore(publish): update GitHub Actions workflow for node publishing (#83)
- Add permissions to allow issue writing
- Update action version from `main` to `v1`
- Add condition to run job only for 'BennyKok' repository owner

Co-authored-by: snomiao <snomiao+comfy-pr@gmail.com>
2025-04-01 12:55:27 +02:00
bennykok 7f64bcc3ae fix: ensure validate workflow 2025-03-31 11:46:58 +02:00
bennykok 8359d1c783 reenable ws event 2025-03-30 22:28:44 +02:00
bennykok dca27fe2ba fix: random seed for sonic node 2025-03-29 09:22:11 +01:00
BennyKok 0ae70835c4 remove sending ws event, since its not used. 2025-03-27 00:04:34 +08:00
BennyKok 99cda529a9 chore: clearer log when request time out 2025-03-26 23:55:47 +08:00
bennykok 7e640a0da4 bump version 2025-03-24 09:44:00 +08:00
BennyKok f19b80a25d Update README.md
Removed the videos since its outdated
2025-03-16 10:31:00 +08:00
karrix 1ba7640d7f refactor: image output id optional 2025-03-13 21:15:14 +08:00
Nick Kao 6ecf9c782b Merge pull request #81 from Jeremy8776/main
Fix: Organised Node List
2025-03-07 10:26:46 -08:00
Jeremy 1904b4bdbf Fix: Organised Node List
All CD nodes under one group in the node list.

Not sure what subdir are wanted.
2025-03-07 18:12:56 +00:00
karrix 4112e0ec8c feat: example workflows 2025-03-06 20:11:52 +08:00
40 changed files with 4546 additions and 217 deletions
+6 -2
View File
@@ -7,15 +7,19 @@ on:
paths:
- "pyproject.toml"
permissions:
issues: write
jobs:
publish-node:
name: Publish Custom Node to registry
runs-on: ubuntu-latest
if: ${{ github.repository_owner == 'BennyKok' }}
steps:
- name: Check out code
uses: actions/checkout@v4
- name: Publish Custom Node
uses: Comfy-Org/publish-node-action@main
uses: Comfy-Org/publish-node-action@v1
with:
## Add your own personal access token to your Github Repository secrets and reference it here.
personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
-4
View File
@@ -96,10 +96,6 @@ Major areas
# Self Hosting with Vercel
[![Video](https://img.mytsi.org/i/nFOG479.png)](https://www.youtube.com/watch?v=hWvsEY1cS2M)
Tutorial Created by [Ross](https://github.com/rossman22590) and [Syn](https://github.com/mortlsyn)
Build command
```
+37 -1
View File
@@ -2,8 +2,9 @@
@author: BennyKok
@title: comfyui-deploy
@nickname: Comfy Deploy
@description:
@description:
"""
import os
import sys
@@ -17,19 +18,23 @@ import requests
import folder_paths
from folder_paths import add_model_folder_path, get_filename_list, get_folder_paths
from tqdm import tqdm
import re
from . import custom_routes
# import routes
ag_path = os.path.join(os.path.dirname(__file__))
def get_python_files(path):
return [f[:-3] for f in os.listdir(path) if f.endswith(".py")]
def append_to_sys_path(path):
if path not in sys.path:
sys.path.append(path)
paths = ["comfy-nodes"]
files = []
@@ -41,14 +46,45 @@ for path in paths:
NODE_CLASS_MAPPINGS = {}
NODE_DISPLAY_NAME_MAPPINGS = {}
def split_camel_case(name):
# Split on underscores first, then split each part on camelCase
parts = []
for part in name.split("_"):
# Find all camelCase boundaries
words = re.findall("[A-Z][^A-Z]*", part)
if not words: # If no camelCase found, use the whole part
words = [part]
parts.extend(words)
return parts
# Import all the modules and append their mappings
for file in files:
module = importlib.import_module(file)
# Check if the module has explicit mappings
if hasattr(module, "NODE_CLASS_MAPPINGS"):
NODE_CLASS_MAPPINGS.update(module.NODE_CLASS_MAPPINGS)
if hasattr(module, "NODE_DISPLAY_NAME_MAPPINGS"):
NODE_DISPLAY_NAME_MAPPINGS.update(module.NODE_DISPLAY_NAME_MAPPINGS)
# Auto-discover classes with ComfyUI node attributes
for name, obj in inspect.getmembers(module):
# Check if it's a class and has the required ComfyUI node attributes
if (
inspect.isclass(obj)
and hasattr(obj, "INPUT_TYPES")
and hasattr(obj, "RETURN_TYPES")
):
# Use the class name as the key if not already in mappings
if name not in NODE_CLASS_MAPPINGS:
NODE_CLASS_MAPPINGS[name] = obj
# Create a display name by converting camelCase to Title Case with spaces
words = split_camel_case(name.replace("ComfyUIDeploy", ""))
display_name = " ".join(word.capitalize() for word in words)
# print(display_name, name)
NODE_DISPLAY_NAME_MAPPINGS[name] = display_name
WEB_DIRECTORY = "web-plugin"
__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]
+1
View File
@@ -7,6 +7,7 @@ class ComfyUIDeployExternalAudio:
RETURN_TYPES = ("AUDIO",)
RETURN_NAMES = ("audio",)
FUNCTION = "load_audio"
CATEGORY = "🔗ComfyDeploy"
@classmethod
def INPUT_TYPES(cls):
+2 -1
View File
@@ -23,8 +23,9 @@ class ComfyUIDeployExternalBoolean:
RETURN_TYPES = ("BOOLEAN",)
RETURN_NAMES = ("bool_value",)
FUNCTION = "run"
CATEGORY = "🔗ComfyDeploy"
def run(self, input_id, default_value=None, display_name=None, description=None):
print(f"Node '{input_id}' processing with switch set to {default_value}")
+2 -1
View File
@@ -36,10 +36,11 @@ class ComfyUIDeployExternalCheckpoint:
RETURN_TYPES = (WILDCARD,)
RETURN_NAMES = ("path",)
FUNCTION = "run"
CATEGORY = "deploy"
CATEGORY = "🔗ComfyDeploy"
def run(self, input_id, default_value=None, display_name=None, description=None):
import requests
+46
View File
@@ -0,0 +1,46 @@
class AnyType(str):
def __ne__(self, __value: object) -> bool:
return False
WILDCARD = AnyType("*")
class ComfyUIDeployExternalEnum:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"input_id": (
"STRING",
{"multiline": False, "default": "input_enum"},
),
},
"optional": {
"default_value": (
"STRING",
{"multiline": False, "default": "", "dynamic_enum": True},
),
"options": (
"STRING",
{"multiline": True, "default": ""},
),
"display_name": (
"STRING",
{"multiline": False, "default": ""},
),
"description": (
"STRING",
{"multiline": True, "default": ""},
),
}
}
RETURN_TYPES = (WILDCARD,)
RETURN_NAMES = ("text",)
FUNCTION = "run"
CATEGORY = "🔗ComfyDeploy"
def run(self, input_id, options=None, default_value=None, display_name=None, description=None):
return [default_value]
+1
View File
@@ -10,6 +10,7 @@ class ComfyUIDeployExternalEXR:
RETURN_TYPES = ("IMAGE", "MASK")
RETURN_NAMES = ("image", "mask")
FUNCTION = "load_exr"
CATEGORY = "🔗ComfyDeploy"
@classmethod
def INPUT_TYPES(cls):
+1 -3
View File
@@ -48,10 +48,8 @@ class ComfyUIDeployExternalFaceModel:
RETURN_TYPES = (WILDCARD,)
RETURN_NAMES = ("path",)
FUNCTION = "run"
CATEGORY = "deploy"
CATEGORY = "🔗ComfyDeploy"
def run(
self,
+1 -3
View File
@@ -29,10 +29,8 @@ class ComfyUIDeployExternalImage:
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("image",)
FUNCTION = "run"
CATEGORY = "image"
CATEGORY = "🔗ComfyDeploy"
def run(self, input_id, default_value=None, display_name=None, description=None, default_value_url=None):
image = default_value
+1 -3
View File
@@ -28,10 +28,8 @@ class ComfyUIDeployExternalImageAlpha:
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("image",)
FUNCTION = "run"
CATEGORY = "image"
CATEGORY = "🔗ComfyDeploy"
def run(self, input_id, default_value=None, display_name=None, description=None):
image = default_value
+1 -3
View File
@@ -34,10 +34,8 @@ class ComfyUIDeployExternalImageBatch:
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("image",)
FUNCTION = "run"
CATEGORY = "image"
CATEGORY = "🔗ComfyDeploy"
def process_image(self, image):
image = ImageOps.exif_transpose(image)
+1 -3
View File
@@ -46,10 +46,8 @@ class ComfyUIDeployExternalLora:
RETURN_TYPES = (WILDCARD,)
RETURN_NAMES = ("path",)
FUNCTION = "run"
CATEGORY = "deploy"
CATEGORY = "🔗ComfyDeploy"
def run(
self,
+1 -3
View File
@@ -31,10 +31,8 @@ class ComfyUIDeployExternalNumber:
RETURN_TYPES = ("FLOAT",)
RETURN_NAMES = ("value",)
FUNCTION = "run"
CATEGORY = "number"
CATEGORY = "🔗ComfyDeploy"
def run(self, input_id, default_value=None, display_name=None, description=None):
try:
+1 -3
View File
@@ -31,10 +31,8 @@ class ComfyUIDeployExternalNumberInt:
RETURN_TYPES = ("INT",)
RETURN_NAMES = ("value",)
FUNCTION = "run"
CATEGORY = "number"
CATEGORY = "🔗ComfyDeploy"
def run(self, input_id, default_value=None, display_name=None, description=None):
if not input_id or (isinstance(input_id, str) and not input_id.strip().isdigit()):
+1 -3
View File
@@ -34,10 +34,8 @@ class ComfyUIDeployExternalNumberSlider:
RETURN_TYPES = ("FLOAT",)
RETURN_NAMES = ("value",)
FUNCTION = "run"
CATEGORY = "number"
CATEGORY = "🔗ComfyDeploy"
def run(self, input_id, default_value=None, min_value=0, max_value=1, display_name=None, description=None):
try:
+1 -1
View File
@@ -18,7 +18,7 @@ class StringFunction:
RETURN_TYPES = ("STRING",)
FUNCTION = "exec"
CATEGORY = "utils"
CATEGORY = "🔗ComfyDeploy"
OUTPUT_NODE = True
def exec(self, action, tidy_tags, text_a="", text_b="", text_c=""):
+1 -1
View File
@@ -34,7 +34,7 @@ class ComfyUIDeployExternalText:
FUNCTION = "run"
CATEGORY = "text"
CATEGORY = "🔗ComfyDeploy"
def run(self, input_id, default_value=None, display_name=None, description=None):
return [default_value]
+1 -1
View File
@@ -36,7 +36,7 @@ class ComfyUIDeployExternalTextAny:
FUNCTION = "run"
CATEGORY = "text"
CATEGORY = "🔗ComfyDeploy"
def run(self, input_id, default_value=None, display_name=None, description=None):
return [default_value]
+1
View File
@@ -36,6 +36,7 @@ class ComfyUIDeployExternalVideo:
RETURN_NAMES = ("video")
FUNCTION = "load_video"
CATEGORY = "🔗ComfyDeploy"
def load_video(self, input_id, default_value):
input_dir = folder_paths.get_input_directory()
+1
View File
@@ -791,6 +791,7 @@ class ComfyUIDeployExternalVideo:
)
FUNCTION = "load_video"
CATEGORY = "🔗ComfyDeploy"
def load_video(self, **kwargs):
input_id = kwargs.get("input_id")
+1
View File
@@ -33,6 +33,7 @@ class ComfyDeployWebscoketImageInput:
RETURN_NAMES = ("images",)
FUNCTION = "run"
CATEGORY = "🔗ComfyDeploy"
@classmethod
def VALIDATE_INPUTS(s, input_id):
-60
View File
@@ -1,60 +0,0 @@
import folder_paths
class AnyType(str):
def __ne__(self, __value: object) -> bool:
return False
from os import walk
WILDCARD = AnyType("*")
MODEL_EXTENSIONS = {
"safetensors": "SafeTensors file format",
"ckpt": "Checkpoint file",
"pth": "PyTorch serialized file",
"pkl": "Pickle file",
"onnx": "ONNX file",
}
def fetch_files(path):
for (dirpath, dirnames, filenames) in walk(path):
fs = []
if len(dirnames) > 0:
for dirname in dirnames:
fs.extend(fetch_files(f"{dirpath}/{dirname}"))
for filename in filenames:
# Remove "./models/" from the beginning of dirpath
relative_dirpath = dirpath.replace("./models/", "", 1)
file_path = f"{relative_dirpath}/{filename}"
# Only add files that are known model extensions
file_extension = filename.split('.')[-1].lower()
if file_extension in MODEL_EXTENSIONS:
fs.append(file_path)
return fs
allModels = fetch_files("./models")
class ComfyUIDeployModalList:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"model": (allModels, ),
}
}
RETURN_TYPES = (WILDCARD,)
RETURN_NAMES = ("model",)
FUNCTION = "run"
CATEGORY = "model"
def run(self, model=""):
# Split the model path by '/' and select the last item
model_name = model.split('/')[-1]
return [model_name]
NODE_CLASS_MAPPINGS = {"ComfyUIDeployModelList": ComfyUIDeployModalList}
NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployModelList": "Model List (ComfyUI Deploy)"}
+3 -2
View File
@@ -27,6 +27,8 @@ class ComfyDeployOutputImage:
),
"file_type": (["png", "jpg", "webp"], {"default": "webp"}),
"quality": ("INT", {"default": 80, "min": 1, "max": 100, "step": 1}),
},
"optional": {
"output_id": (
"STRING",
{"multiline": False, "default": "output_images"},
@@ -39,8 +41,7 @@ class ComfyDeployOutputImage:
FUNCTION = "run"
OUTPUT_NODE = True
CATEGORY = "output"
CATEGORY = "🔗ComfyDeploy"
DESCRIPTION = "Saves the input images to your ComfyUI output directory."
def run(
+1 -3
View File
@@ -33,10 +33,8 @@ class ComfyDeployWebscoketImageOutput:
RETURN_TYPES = ()
RETURN_NAMES = ("text",)
FUNCTION = "run"
CATEGORY = "output"
CATEGORY = "🔗ComfyDeploy"
@classmethod
def VALIDATE_INPUTS(s, output_id):
+38 -27
View File
@@ -139,7 +139,7 @@ async def async_request_with_retry(
logger.error(f"Error response body: {error_body}")
if attempt == max_retries - 1:
logger.error(f"Request failed after {max_retries} attempts: {e}")
logger.error(f"Request {method} : {url} failed after {max_retries} attempts: {e}")
raise
await asyncio.sleep(retry_delay)
@@ -147,7 +147,7 @@ async def async_request_with_retry(
total_time = time.time() - start_time
raise Exception(
f"Request failed after {max_retries} attempts and {total_time:.2f} seconds"
f"Request {method} : {url} failed after {max_retries} attempts and {total_time:.2f} seconds"
)
@@ -304,6 +304,11 @@ def post_prompt(json_data):
def randomSeed(num_digits=15):
# Special case for SONICSampler which uses np.int32
if num_digits == "sonic":
return random.randint(0, 2147483647) # np.iinfo(np.int32).max
# Original logic for other cases
range_start = 10 ** (num_digits - 1)
range_end = (10**num_digits) - 1
return random.randint(range_start, range_end)
@@ -322,6 +327,13 @@ def apply_random_seed_to_workflow(workflow_api):
# If seed is a list, it's an input from another node (generally `external number int`)
if isinstance(workflow_api[key]["inputs"]["seed"], list):
continue
# Special case for SONICSampler
if workflow_api[key]["class_type"] == "SONICSampler":
workflow_api[key]["inputs"]["seed"] = randomSeed("sonic")
logger.info(
f"Applied random seed {workflow_api[key]['inputs']['seed']} to SONICSampler"
)
continue
if workflow_api[key]["class_type"] == "PromptExpansion":
workflow_api[key]["inputs"]["seed"] = randomSeed(8)
logger.info(
@@ -355,6 +367,12 @@ def apply_random_seed_to_workflow(workflow_api):
f"Applied random noise_seed {workflow_api[key]['inputs']['noise_seed']} to SamplerCustom"
)
continue
if workflow_api[key]["class_type"] == "XlabsSampler":
workflow_api[key]["inputs"]["noise_seed"] = randomSeed()
logger.info(
f"Applied random noise_seed {workflow_api[key]['inputs']['noise_seed']} to SamplerCustom"
)
continue
def apply_inputs_to_workflow(workflow_api: Any, inputs: Any, sid: str = None):
@@ -1820,13 +1838,9 @@ async def upload_file(
def have_pending_upload(prompt_id):
if (
prompt_id in prompt_metadata
and len(prompt_metadata[prompt_id].uploading_nodes) > 0
):
logger.info(
f"Have pending upload {len(prompt_metadata[prompt_id].uploading_nodes)}"
)
# Check if there are pending uploads in the queue
if prompt_id in upload_queue.pending_uploads and upload_queue.pending_uploads[prompt_id]:
logger.info(f"Have pending upload {len(upload_queue.pending_uploads[prompt_id])}")
return True
logger.info("No pending upload")
@@ -1880,16 +1894,11 @@ async def handle_error(prompt_id, data, e: Exception):
async def update_file_status(
prompt_id: str, data, uploading, have_error=False, node_id=None
):
# if 'uploading_nodes' not in prompt_metadata[prompt_id]:
# prompt_metadata[prompt_id]['uploading_nodes'] = set()
# We're using upload_queue as the single source of truth for tracking uploads
# The upload_queue.pending_uploads is managed by the UploadQueue class itself
# We no longer need to track uploading_nodes in prompt_metadata
if node_id is not None:
if uploading:
prompt_metadata[prompt_id].uploading_nodes.add(node_id)
else:
prompt_metadata[prompt_id].uploading_nodes.discard(node_id)
# logger.info(f"Remaining uploads: {prompt_metadata[prompt_id].uploading_nodes}")
# logger.info(f"Pending uploads in queue: {upload_queue.pending_uploads.get(prompt_id, set())}")
# Update the remote status
if have_error:
@@ -1903,15 +1912,15 @@ async def update_file_status(
return
# if there are still nodes that are uploading, then we set the status to uploading
if uploading:
if prompt_metadata[prompt_id].status != Status.UPLOADING:
await update_run(prompt_id, Status.UPLOADING)
await send(
"uploading",
{
"prompt_id": prompt_id,
},
)
# if uploading:
# if prompt_metadata[prompt_id].status != Status.UPLOADING:
# await update_run(prompt_id, Status.UPLOADING)
# await send(
# "uploading",
# {
# "prompt_id": prompt_id,
# },
# )
# if there are no nodes that are uploading, then we set the status to success
elif (
@@ -2530,6 +2539,8 @@ class UploadQueue:
prompt_id in self.pending_uploads
and len(self.pending_uploads[prompt_id]) == 1
):
await update_run(prompt_id, Status.SUCCESS)
self._log_upload_stats(prompt_id)
# Clean up stats
del self.upload_stats[prompt_id]
Binary file not shown.

After

Width:  |  Height:  |  Size: 156 KiB

+152
View File
@@ -0,0 +1,152 @@
{
"id": "ed93ac94-4f26-4ed3-a57b-73cd8f4d3494",
"revision": 0,
"last_node_id": 5,
"last_link_id": 1,
"nodes": [
{
"id": 2,
"type": "LoraLoader",
"pos": [
736.646728515625,
628.3823852539062
],
"size": [
315,
126
],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": null
},
{
"name": "clip",
"type": "CLIP",
"link": null
},
{
"name": "lora_name",
"type": "COMBO",
"widget": {
"name": "lora_name"
},
"link": 1
}
],
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": null
},
{
"name": "CLIP",
"type": "CLIP",
"links": null
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.27",
"Node name for S&R": "LoraLoader"
},
"widgets_values": [
"1-292.safetensors",
1,
1
]
},
{
"id": 1,
"type": "ComfyUIDeployExternalLora",
"pos": [
299.6898498535156,
624.7929077148438
],
"size": [
400,
208
],
"flags": {},
"order": 0,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "path",
"type": "*",
"links": [
1
]
}
],
"properties": {
"cnr_id": "comfyui-deploy",
"ver": "cd3a2ff5471828f9c840e746551592e882c05aa4",
"Node name for S&R": "ComfyUIDeployExternalLora"
},
"widgets_values": [
"input_lora",
"HyperSD\\FLUX.1\\Hyper-FLUX.1-dev-16steps-lora.safetensors",
"",
"",
"",
""
]
},
{
"id": 5,
"type": "Note",
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"\"External Lora\" node will let you to use different loras from the Comfy Deploy UI or even via API.\n\n- lora_url:\n url that will be used to download your LoRA model in execution time\n\n- lora_save_name:\n when we download your model, this will be saved in your private storage, \n give it a good name :D"
],
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],
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14,
25
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},
{
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}
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{
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{
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{
"name": "mask",
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}
],
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"type": "LATENT",
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}
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17
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"links": []
}
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},
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{
"name": "MASK",
"type": "MASK",
"links": [
24,
28
]
}
],
"properties": {
"cnr_id": "comfy-core",
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{
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"link": null
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{
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}
],
"outputs": [
{
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}
],
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],
"color": "#432",
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},
{
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22,
23
]
}
],
"properties": {
"cnr_id": "comfyui-deploy",
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"",
"",
""
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{
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"type": "IMAGE",
"link": 18
}
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"links": [
19
]
}
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"properties": {
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""
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"type": "IMAGE",
"links": [
13
]
}
],
"properties": {
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"ver": "cd3a2ff5471828f9c840e746551592e882c05aa4",
"Node name for S&R": "ComfyUIDeployExternalImageAlpha"
},
"widgets_values": [
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"",
""
]
}
],
"links": [
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10,
10,
0,
11,
0,
"IMAGE"
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[
11,
11,
0,
12,
0,
"IMAGE"
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[
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10,
1,
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"MASK"
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[
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[
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[
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"IMAGE"
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[
23,
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"IMAGE"
],
[
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0,
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"MASK"
],
[
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"IMAGE"
],
[
26,
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1,
29,
2,
"MASK"
],
[
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0,
25,
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"MASK"
]
],
"groups": [],
"config": {},
"extra": {
"ds": {
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"offset": [
48.66905973637718,
-817.5683540167485
]
},
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
"VHS_MetadataImage": true,
"VHS_KeepIntermediate": true
},
"version": 0.4
}
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{
"extra": {
"ds": {
"scale": 0.6010518407212623,
"offset": [815.5938895649746, 84.94304700477853]
},
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"comfyui-deploy": "b3df94d1affcf7ce05ee7eeda99989194bcd9159"
}
},
"links": [
[9, 8, 0, 9, 0, "IMAGE"],
[45, 30, 1, 6, 0, "CLIP"],
[46, 30, 2, 8, 1, "VAE"],
[47, 30, 0, 31, 0, "MODEL"],
[51, 27, 0, 31, 3, "LATENT"],
[52, 31, 0, 8, 0, "LATENT"],
[54, 30, 1, 33, 0, "CLIP"],
[55, 33, 0, 31, 2, "CONDITIONING"],
[56, 6, 0, 35, 0, "CONDITIONING"],
[57, 35, 0, 31, 1, "CONDITIONING"],
[58, 38, 0, 6, 1, "STRING"],
[59, 40, 0, 27, 0, "INT"],
[60, 39, 0, 27, 1, "INT"]
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{
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"mode": 0,
"size": [422.8500061035156, 164.30999755859375],
"type": "CLIPTextEncode",
"color": "#232",
"flags": {},
"order": 7,
"title": "CLIP Text Encode (Positive Prompt)",
"inputs": [
{ "link": 45, "name": "clip", "type": "CLIP" },
{
"pos": [10, 36],
"link": 58,
"name": "text",
"type": "STRING",
"widget": { "name": "text" }
}
],
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{
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"slot_index": 0
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"widgets_values": [
"cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open placing a fancy black forest cake with candles on top of a dinner table of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very expensive stuff everywhere there are paintings on the walls"
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},
{
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"size": [210, 46],
"type": "VAEDecode",
"flags": {},
"order": 11,
"inputs": [
{ "link": 52, "name": "samples", "type": "LATENT" },
{ "link": 46, "name": "vae", "type": "VAE" }
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{ "name": "IMAGE", "type": "IMAGE", "links": [9], "slot_index": 0 }
],
"properties": { "Node name for S&R": "VAEDecode" },
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},
{
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"inputs": [{ "link": 9, "name": "images", "type": "IMAGE" }],
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},
{
"id": 31,
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"size": [315, 262],
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"flags": {},
"order": 10,
"inputs": [
{ "link": 47, "name": "model", "type": "MODEL" },
{ "link": 57, "name": "positive", "type": "CONDITIONING" },
{ "link": 55, "name": "negative", "type": "CONDITIONING" },
{ "link": 51, "name": "latent_image", "type": "LATENT" }
],
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{
"name": "LATENT",
"type": "LATENT",
"links": [52],
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"slot_index": 0
}
],
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{
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"type": "FluxGuidance",
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"order": 9,
"inputs": [
{ "link": 56, "name": "conditioning", "type": "CONDITIONING" }
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{
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"type": "CONDITIONING",
"links": [57],
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}
],
"properties": { "Node name for S&R": "FluxGuidance" },
"widgets_values": [3.5]
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{
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"pos": [60, 345],
"mode": 0,
"size": [225, 88],
"type": "MarkdownNote",
"color": "#432",
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"🛈 [Learn more about this workflow](https://comfyanonymous.github.io/ComfyUI_examples/flux/#flux-dev-1)"
]
},
{
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"widgets_values": [
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},
{
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"pos": [48, 192],
"mode": 0,
"size": [315, 98],
"type": "CheckpointLoaderSimple",
"flags": {},
"order": 2,
"inputs": [],
"outputs": [
{
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"type": "MODEL",
"links": [47],
"shape": 3,
"slot_index": 0
},
{
"name": "CLIP",
"type": "CLIP",
"links": [45, 54],
"shape": 3,
"slot_index": 1
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{
"name": "VAE",
"type": "VAE",
"links": [46],
"shape": 3,
"slot_index": 2
}
],
"properties": { "Node name for S&R": "CheckpointLoaderSimple" },
"widgets_values": ["FLUX1/flux1-dev-fp8.safetensors"]
},
{
"id": 33,
"pos": [390, 400],
"mode": 0,
"size": [422.8500061035156, 164.30999755859375],
"type": "CLIPTextEncode",
"color": "#322",
"flags": { "collapsed": true },
"order": 6,
"title": "CLIP Text Encode (Negative Prompt)",
"inputs": [
{ "link": 54, "name": "clip", "type": "CLIP", "slot_index": 0 }
],
"bgcolor": "#533",
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [55],
"slot_index": 0
}
],
"properties": { "Node name for S&R": "CLIPTextEncode" },
"widgets_values": [""]
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{
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@@ -0,0 +1,423 @@
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View File
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View File
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View File
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"https://comfy-deploy-output.s3.us-east-2.amazonaws.com/assets/img_GZMJYXDnLbYjWybu.png",
""
]
},
{
"id": 12,
"pos": [-60.4345588684082, 1465.6741943359375],
"mode": 0,
"size": [400, 200],
"type": "ComfyUIDeployExternalText",
"flags": {},
"order": 2,
"inputs": [],
"outputs": [{ "name": "text", "type": "STRING", "links": [22] }],
"properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
"widgets_values": [
"negative_prompt",
"色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走",
"Negative Prompt",
"The negative prompt to use. Use it to address details that you don't want in the video. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution). "
]
},
{
"id": 13,
"pos": [-54.3256721496582, 1720.8292236328125],
"mode": 0,
"size": [453.5999755859375, 200],
"type": "ComfyUIDeployExternalNumberInt",
"flags": {},
"order": 3,
"inputs": [],
"outputs": [
{ "name": "value", "type": "INT", "links": [10], "slot_index": 0 }
],
"properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
"widgets_values": ["width", 512, "Width", "The width of the video. "]
},
{
"id": 14,
"pos": [-51.8943977355957, 1973.8795166015625],
"mode": 0,
"size": [453.5999755859375, 200],
"type": "ComfyUIDeployExternalNumberInt",
"flags": {},
"order": 4,
"inputs": [],
"outputs": [
{ "name": "value", "type": "INT", "links": [11], "slot_index": 0 }
],
"properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
"widgets_values": ["height", 512, "Height", "The Height of the video."]
},
{
"id": 16,
"pos": [610.257080078125, 743.389404296875],
"mode": 0,
"size": [390, 98],
"type": "CLIPLoader",
"flags": {},
"order": 5,
"inputs": [],
"outputs": [
{ "name": "CLIP", "type": "CLIP", "links": [19, 21], "slot_index": 0 }
],
"properties": { "Node name for S&R": "CLIPLoader" },
"widgets_values": [
"umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"wan",
"default"
]
},
{
"id": 17,
"pos": [630.5606079101562, 1152.8475341796875],
"mode": 0,
"size": [315, 58],
"type": "CLIPVisionLoader",
"flags": {},
"order": 6,
"inputs": [],
"outputs": [
{
"name": "CLIP_VISION",
"type": "CLIP_VISION",
"links": [16],
"slot_index": 0
}
],
"properties": { "Node name for S&R": "CLIPVisionLoader" },
"widgets_values": ["clip_vision_h.safetensors"]
},
{
"id": 18,
"pos": [1028.169921875, 906.5068969726562],
"mode": 0,
"size": [425.27801513671875, 180.6060791015625],
"type": "CLIPTextEncode",
"color": "#322",
"flags": {},
"order": 9,
"title": "CLIP Text Encode (Negative Prompt)",
"inputs": [
{ "link": 21, "name": "clip", "type": "CLIP" },
{
"pos": [10, 36],
"link": 22,
"name": "text",
"type": "STRING",
"widget": { "name": "text" }
}
],
"bgcolor": "#533",
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [6],
"slot_index": 0
}
],
"properties": { "Node name for S&R": "CLIPTextEncode" },
"widgets_values": [
"色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走"
]
},
{
"id": 15,
"pos": [610.6187744140625, 594.3209838867188],
"mode": 0,
"size": [346.7470703125, 82],
"type": "UNETLoader",
"flags": {},
"order": 7,
"inputs": [],
"outputs": [
{ "name": "MODEL", "type": "MODEL", "links": [18], "slot_index": 0 }
],
"properties": { "Node name for S&R": "UNETLoader" },
"widgets_values": ["wan2.1_i2v_720p_14B_bf16.safetensors", "default"]
},
{
"id": 10,
"pos": [-60.696964263916016, 649.5515747070312],
"mode": 0,
"size": [400, 200],
"type": "ComfyUIDeployExternalText",
"flags": {},
"order": 8,
"inputs": [],
"outputs": [{ "name": "text", "type": "STRING", "links": [20] }],
"properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
"widgets_values": [
"positive_prompt",
"a cute anime girl with massive fennec ears and a big fluffy tail wearing a maid outfit running towards front happily",
"Prompt",
"The text prompt to guide video generation."
]
}
],
"config": {},
"groups": [
{
"id": 1,
"color": "#3f789e",
"flags": {},
"title": "Input",
"bounding": [
-94.30522155761719, 560.1735229492188, 617.7969360351562,
761.303955078125
],
"font_size": 24
},
{
"id": 2,
"color": "#b06634",
"flags": {},
"title": "Additional",
"bounding": [
-89.63090515136719, 1373.9351806640625, 625.998779296875,
845.0675048828125
],
"font_size": 24
}
],
"version": 0.4,
"last_link_id": 22,
"last_node_id": 18
}
+359
View File
@@ -0,0 +1,359 @@
{
"extra": {
"ds": {
"scale": 0.8390545288824369,
"offset": [814.3725295729478, -347.90757575249455]
},
"node_versions": {
"comfy-core": "0.3.18",
"comfyui-deploy": "b3df94d1affcf7ce05ee7eeda99989194bcd9159"
}
},
"links": [
[35, 3, 0, 8, 0, "LATENT"],
[46, 6, 0, 3, 1, "CONDITIONING"],
[52, 7, 0, 3, 2, "CONDITIONING"],
[56, 8, 0, 28, 0, "IMAGE"],
[74, 38, 0, 6, 0, "CLIP"],
[75, 38, 0, 7, 0, "CLIP"],
[76, 39, 0, 8, 1, "VAE"],
[91, 40, 0, 3, 3, "LATENT"],
[93, 8, 0, 47, 0, "IMAGE"],
[94, 37, 0, 48, 0, "MODEL"],
[95, 48, 0, 3, 0, "MODEL"],
[96, 49, 0, 6, 1, "STRING"],
[97, 50, 0, 7, 1, "STRING"],
[99, 52, 0, 40, 1, "INT"],
[100, 51, 0, 40, 0, "INT"]
],
"nodes": [
{
"id": 8,
"pos": [1210, 190],
"mode": 0,
"size": [210, 46],
"type": "VAEDecode",
"flags": {},
"order": 12,
"inputs": [
{ "link": 35, "name": "samples", "type": "LATENT" },
{ "link": 76, "name": "vae", "type": "VAE" }
],
"outputs": [
{ "name": "IMAGE", "type": "IMAGE", "links": [56, 93], "slot_index": 0 }
],
"properties": { "Node name for S&R": "VAEDecode" },
"widgets_values": []
},
{
"id": 39,
"pos": [866.3932495117188, 499.18597412109375],
"mode": 0,
"size": [306.36004638671875, 58],
"type": "VAELoader",
"flags": {},
"order": 0,
"inputs": [],
"outputs": [
{ "name": "VAE", "type": "VAE", "links": [76], "slot_index": 0 }
],
"properties": { "Node name for S&R": "VAELoader" },
"widgets_values": ["wan_2.1_vae.safetensors"]
},
{
"id": 47,
"pos": [2367.213134765625, 193.6114959716797],
"mode": 4,
"size": [315, 130],
"type": "SaveWEBM",
"flags": {},
"order": 14,
"inputs": [{ "link": 93, "name": "images", "type": "IMAGE" }],
"outputs": [],
"properties": { "Node name for S&R": "SaveWEBM" },
"widgets_values": ["ComfyUI", "vp9", 24, 32]
},
{
"id": 3,
"pos": [863, 187],
"mode": 0,
"size": [315, 262],
"type": "KSampler",
"flags": {},
"order": 11,
"inputs": [
{ "link": 95, "name": "model", "type": "MODEL" },
{ "link": 46, "name": "positive", "type": "CONDITIONING" },
{ "link": 52, "name": "negative", "type": "CONDITIONING" },
{ "link": 91, "name": "latent_image", "type": "LATENT" }
],
"outputs": [
{ "name": "LATENT", "type": "LATENT", "links": [35], "slot_index": 0 }
],
"properties": { "Node name for S&R": "KSampler" },
"widgets_values": [
577746309562741,
"randomize",
30,
6,
"uni_pc",
"simple",
1
]
},
{
"id": 48,
"pos": [440, 50],
"mode": 0,
"size": [210, 58],
"type": "ModelSamplingSD3",
"flags": {},
"order": 7,
"inputs": [{ "link": 94, "name": "model", "type": "MODEL" }],
"outputs": [
{ "name": "MODEL", "type": "MODEL", "links": [95], "slot_index": 0 }
],
"properties": { "Node name for S&R": "ModelSamplingSD3" },
"widgets_values": [8]
},
{
"id": 37,
"pos": [20, 40],
"mode": 0,
"size": [346.7470703125, 82],
"type": "UNETLoader",
"flags": {},
"order": 1,
"inputs": [],
"outputs": [
{ "name": "MODEL", "type": "MODEL", "links": [94], "slot_index": 0 }
],
"properties": { "Node name for S&R": "UNETLoader" },
"widgets_values": ["wan2.1_t2v_1.3B_fp16.safetensors", "default"]
},
{
"id": 6,
"pos": [415, 186],
"mode": 0,
"size": [422.84503173828125, 164.31304931640625],
"type": "CLIPTextEncode",
"color": "#232",
"flags": {},
"order": 8,
"title": "CLIP Text Encode (Positive Prompt)",
"inputs": [
{ "link": 74, "name": "clip", "type": "CLIP" },
{
"pos": [10, 36],
"link": 96,
"name": "text",
"type": "STRING",
"widget": { "name": "text" }
}
],
"bgcolor": "#353",
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [46],
"slot_index": 0
}
],
"properties": { "Node name for S&R": "CLIPTextEncode" },
"widgets_values": [
"a fox moving quickly in a beautiful winter scenery nature trees mountains daytime tracking camera"
]
},
{
"id": 7,
"pos": [413, 389],
"mode": 0,
"size": [425.27801513671875, 180.6060791015625],
"type": "CLIPTextEncode",
"color": "#322",
"flags": {},
"order": 9,
"title": "CLIP Text Encode (Negative Prompt)",
"inputs": [
{ "link": 75, "name": "clip", "type": "CLIP" },
{
"pos": [10, 36],
"link": 97,
"name": "text",
"type": "STRING",
"widget": { "name": "text" }
}
],
"bgcolor": "#533",
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [52],
"slot_index": 0
}
],
"properties": { "Node name for S&R": "CLIPTextEncode" },
"widgets_values": [
"色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走"
]
},
{
"id": 38,
"pos": [-10.047812461853027, 187.37384033203125],
"mode": 0,
"size": [390, 98],
"type": "CLIPLoader",
"flags": {},
"order": 2,
"inputs": [],
"outputs": [
{ "name": "CLIP", "type": "CLIP", "links": [74, 75], "slot_index": 0 }
],
"properties": { "Node name for S&R": "CLIPLoader" },
"widgets_values": [
"umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"wan",
"default"
]
},
{
"id": 49,
"pos": [-535.2967529296875, 342.3277587890625],
"mode": 0,
"size": [400, 200],
"type": "ComfyUIDeployExternalText",
"flags": {},
"order": 3,
"inputs": [],
"outputs": [{ "name": "text", "type": "STRING", "links": [96] }],
"properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
"widgets_values": [
"positive_prompt",
"a fox moving quickly in a beautiful winter scenery nature trees mountains daytime tracking camera",
"Prompt",
"The text prompt to guide video generation. "
]
},
{
"id": 50,
"pos": [-526.2716064453125, 703.8343505859375],
"mode": 0,
"size": [400, 200],
"type": "ComfyUIDeployExternalText",
"flags": {},
"order": 4,
"inputs": [],
"outputs": [{ "name": "text", "type": "STRING", "links": [97] }],
"properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
"widgets_values": [
"negative_prompt",
"色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走",
"Negative Prompt",
"The negative prompt to use. Use it to address details that you don't want in the image. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution). "
]
},
{
"id": 40,
"pos": [516.926513671875, 619.59716796875],
"mode": 0,
"size": [315, 150],
"type": "EmptyHunyuanLatentVideo",
"flags": {},
"order": 10,
"inputs": [
{
"pos": [10, 36],
"link": 100,
"name": "width",
"type": "INT",
"widget": { "name": "width" }
},
{
"pos": [10, 60],
"link": 99,
"name": "height",
"type": "INT",
"widget": { "name": "height" }
}
],
"outputs": [
{ "name": "LATENT", "type": "LATENT", "links": [91], "slot_index": 0 }
],
"properties": { "Node name for S&R": "EmptyHunyuanLatentVideo" },
"widgets_values": [832, 480, 33, 1]
},
{
"id": 28,
"pos": [1460, 190],
"mode": 0,
"size": [870.8511352539062, 643.7430419921875],
"type": "SaveAnimatedWEBP",
"flags": {},
"order": 13,
"inputs": [{ "link": 56, "name": "images", "type": "IMAGE" }],
"outputs": [],
"properties": {},
"widgets_values": ["ComfyUI", 16, false, 90, "default"]
},
{
"id": 51,
"pos": [-522.7415161132812, 959.3386840820312],
"mode": 0,
"size": [453.5999755859375, 200],
"type": "ComfyUIDeployExternalNumberInt",
"flags": {},
"order": 5,
"inputs": [],
"outputs": [
{ "name": "value", "type": "INT", "links": [100], "slot_index": 0 }
],
"properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
"widgets_values": ["width", 832, "Width", "The Width of the Video. "]
},
{
"id": 52,
"pos": [-518.9917602539062, 1207.9444580078125],
"mode": 0,
"size": [453.5999755859375, 200],
"type": "ComfyUIDeployExternalNumberInt",
"flags": {},
"order": 6,
"inputs": [],
"outputs": [
{ "name": "value", "type": "INT", "links": [99], "slot_index": 0 }
],
"properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
"widgets_values": ["height", 480, "Height", "The Height of the Video. "]
}
],
"config": {},
"groups": [
{
"id": 1,
"color": "#3f789e",
"flags": {},
"title": "Inputs",
"bounding": [
-560.9110717773438, 255.1485595703125, 500.94989013671875,
333.4786682128906
],
"font_size": 24
},
{
"id": 2,
"color": "#b06634",
"flags": {},
"title": "Additional",
"bounding": [
-556.5305786132812, 619.87548828125, 761.2673950195312,
811.6837768554688
],
"font_size": 24
}
],
"version": 0.4,
"last_link_id": 100,
"last_node_id": 52
}
+2 -2
View File
@@ -1,9 +1,9 @@
[project]
name = "comfyui-deploy"
description = "Open source comfyui deployment platform, a vercel for generative workflow infra."
version = "1.1.0"
version = "2.1.0"
license = { file = "LICENSE" }
dependencies = ["aiofiles", "pydantic", "opencv-python", "imageio-ffmpeg"]
dependencies = ["aiofiles", "pydantic", "opencv-python", "imageio-ffmpeg", "tabulate", "brotli"]
[project.urls]
Repository = "https://github.com/BennyKok/comfyui-deploy"
+192 -87
View File
@@ -168,12 +168,12 @@ function setSelectedWorkflowInfo(info) {
const VALID_TYPES = [
"STRING",
"combo",
"number",
"toggle",
"BOOLEAN",
"text",
"string",
"combo",
];
function hideWidget(node, widget, suffix = "") {
@@ -181,7 +181,9 @@ function hideWidget(node, widget, suffix = "") {
widget.origType = widget.type;
widget.origComputeSize = widget.computeSize;
widget.origSerializeValue = widget.serializeValue;
widget.computeSize = () => [0, -4];
// console.log(widget.origComputeSize);
// console.log(LiteGraph.NODE_SLOT_HEIGHT);
// widget.computeSize = () => [0, 0];
widget.type = CONVERTED_TYPE + suffix;
widget.serializeValue = () => {
if (!node.inputs) {
@@ -210,10 +212,37 @@ function getWidgetType(config) {
return { type };
}
const GET_CONFIG = Symbol();
async function convertToInput(node, widget, config) {
const { type } = getWidgetType(config);
console.log(node, widget, config);
const result = await app.extensionManager.dialog.prompt(
{
title: "Convert " + widget.name + " to external input",
message: "Input name",
defaultValue: widget.name,
}
);
if (!result) return;
// Check for duplicate input IDs across existing external input nodes
const existingInputIds = Object.values(app.graph.nodes)
.filter(n => n.type.startsWith("ComfyUIDeployExternal"))
.map(n => n.widgets_values?.[0])
.filter(Boolean);
if (existingInputIds.includes(result)) {
app.extensionManager.toast.add({
severity: 'error',
summary: 'Input ID already exists',
detail: 'Please choose a different name.',
life: 3000
});
return;
}
function convertToInput(node, widget, config) {
console.log(node);
if (node.type == "LoadImage") {
var inputNode = LiteGraph.createNode("ComfyUIDeployExternalImage");
console.log(widget);
@@ -235,54 +264,94 @@ function convertToInput(node, widget, config) {
const links = app.graph.links;
console.log(currentOutputsLinks);
// console.log(currentOutputsLinks);
for (let i = 0; i < currentOutputsLinks.length; i++) {
const link = currentOutputsLinks[i];
const llink = links[link];
console.log(links[link]);
setTimeout(
() => inputNode.connect(0, llink.target_id, llink.target_slot),
100,
);
}
if (currentOutputsLinks)
for (let i = 0; i < currentOutputsLinks.length; i++) {
const link = currentOutputsLinks[i];
const llink = links[link];
console.log(links[link]);
setTimeout(
() => inputNode.connect(0, llink.target_id, llink.target_slot),
100,
);
}
node.connect(0, inputNode, 0);
return null;
}
hideWidget(node, widget);
const { type } = getWidgetType(config);
const sz = node.size;
const inputIsOptional = !!widget.options?.inputIsOptional;
const input = node.addInput(widget.name, type, {
widget: { name: widget.name, [GET_CONFIG]: () => config },
...(inputIsOptional ? { shape: LiteGraph.SlotShape.HollowCircle } : {}),
});
for (const widget2 of node.widgets) {
widget2.last_y += LiteGraph.NODE_SLOT_HEIGHT;
}
node.setSize([Math.max(sz[0], node.size[0]), Math.max(sz[1], node.size[1])]);
let externalNode = "";
let inputId = result;
if (type == "STRING") {
var inputNode = LiteGraph.createNode("ComfyUIDeployExternalText");
console.log(widget);
const index = node.inputs.findIndex((x) => x.name == widget.name);
console.log(node.widgets_values, index);
if (type === "INT") {
externalNode = "ComfyUIDeployExternalNumberInt";
// inputId = "input_number";
}
if (type === "FLOAT") {
externalNode = "ComfyUIDeployExternalNumberSlider";
// inputId = "input_number";
}
if (type === "STRING") {
externalNode = "ComfyUIDeployExternalText";
// inputId = "input_text";
}
if (type === "COMBO") {
externalNode = "ComfyUIDeployExternalEnum";
// inputId = "input_enum";
}
if (!externalNode || !inputId) return;
node.convertWidgetToInput(widget);
var inputNode = LiteGraph.createNode(externalNode, "External Input: " + inputId);
// if (type === "COMBO") {
// inputNode = LiteGraph.createNode(externalNode, "External Input: " + inputId, {
// dynamic_enum_options: config[0],
// });
// console.log(inputNode);
// const options = config[0];
// console.log(options);
// } else {
// inputNode = LiteGraph.createNode(externalNode, "External Input: " + inputId);
// }
var options;
const index = node.inputs.findIndex((x) => x.name == widget.name);
if (type === "COMBO") {
options = widget.options?.values ?? config[0];
inputNode.configure({
widgets_values: ["input_text", widget.value],
widgets_values: [inputId, widget.value, JSON.stringify(options)],
});
} else
{
inputNode.configure({
widgets_values: [inputId, widget.value],
});
inputNode.id = ++app.graph.last_node_id;
inputNode.pos = node.pos;
inputNode.pos[0] -= node.size[0] + 40;
console.log(inputNode);
console.log(app.graph);
app.graph.add(inputNode);
inputNode.connect(0, node, index);
}
inputNode.id = ++app.graph.last_node_id;
inputNode.pos = node.pos;
inputNode.pos[0] -= node.size[0] + 160;
return input;
if (type === "COMBO") {
console.log(inputNode);
console.log(options);
inputNode.widgets.find((x) => x.name == "default_value").options.values = options;
}
app.graph.add(inputNode);
inputNode.connect(0, node, index);
app.graph.setDirtyCanvas(true, true);
return node.inputs.find((x) => x.name == widget.name);
}
const CONVERTED_TYPE = "converted-widget";
@@ -295,7 +364,12 @@ function getConfig(widgetName) {
);
}
function isConvertibleWidget(widget, config) {
function isConvertibleWidget(node, widget, config) {
// console.log(config);
if (node.type === "LoadImage" && widget.type === "combo" && widget.name == "image") {
return true;
}
return (
(VALID_TYPES.includes(widget.type) || VALID_TYPES.includes(config[0])) &&
!widget.options?.forceInput
@@ -442,11 +516,11 @@ const ext = {
w.type,
w.options || {},
];
if (isConvertibleWidget(w, config)) {
if (isConvertibleWidget(this, w, config)) {
toInput.push({
content: `Convert ${w.name} to external input`,
callback: /* @__PURE__ */ __name(
() => convertToInput(this, w, config),
async () => convertToInput(this, w, config),
"callback",
),
className: "comfydeploy-menu-item",
@@ -501,6 +575,13 @@ const ext = {
console.log(nodeData.input.optional.default_value_url);
}
if (
nodeData?.input?.optional?.default_value?.[1]?.dynamic_enum === true
) {
nodeData.input.optional.default_value = ["DYNAMIC_ENUM"];
// console.log(nodeData.input.optional.default_value);
}
// const origonNodeCreated = nodeType.prototype.onNodeCreated;
// nodeType.prototype.onNodeCreated = function () {
// const r = origonNodeCreated
@@ -534,6 +615,10 @@ const ext = {
// return r
// };
},
// async nodeCreated(node) {
// },
registerCustomNodes() {
/** @type {LGraphNode}*/
@@ -635,7 +720,7 @@ const ext = {
"string",
inputName,
/* value=*/ "",
() => {},
() => { },
{ serialize: true },
);
@@ -696,9 +781,37 @@ const ext = {
return { widget: urlWidget };
},
DYNAMIC_ENUM(node, inputName, inputData) {
// console.log("DYNAMIC_ENUM", JSON.parse(JSON.stringify(node)), inputName, inputData);
const enumWidget = node.addWidget(
"combo",
inputName,
"",
{ serialize: true, values: [] },
);
return { widget: enumWidget };
},
};
},
async afterConfigureGraph() {
app.graph.nodes.forEach(node => {
if (node.type === "ComfyUIDeployExternalEnum") {
const default_value_index = node.widgets.findIndex(x => x.name === "default_value");
const options_index = node.widgets.findIndex(x => x.name === "options");
var dynamic_enum_options = [node.widgets[default_value_index].value];
if (node.widgets[options_index].value) {
dynamic_enum_options = JSON.parse(node.widgets[options_index].value);
}
// console.log("dynamic_enum_options", dynamic_enum_options);
node.widgets[default_value_index].options.values = dynamic_enum_options;
}
});
},
async setup() {
// const graphCanvas = document.getElementById("graph-canvas");
@@ -716,7 +829,7 @@ const ext = {
try {
await window["app"].ui.settings.setSettingValueAsync(
"Comfy.Validation.Workflows",
false,
true,
);
} catch (error) {
console.warning(
@@ -886,6 +999,7 @@ const ext = {
}
})(app.graph.onAfterChange);
sendEventToCD("cd_plugin_setup");
},
};
@@ -920,10 +1034,10 @@ function createDynamicUIHtml(data) {
<h3 style="font-size: 14px; font-weight: semibold; margin-bottom: 8px;">Missing Nodes</h3>
<p style="font-size: 12px;">These nodes are not found with any matching custom_nodes in the ComfyUI Manager Database</p>
${data.missing_nodes
.map((node) => {
return `<p style="font-size: 14px; color: #d69e2e;">${node}</p>`;
})
.join("")}
.map((node) => {
return `<p style="font-size: 14px; color: #d69e2e;">${node}</p>`;
})
.join("")}
</div>
`;
}
@@ -931,17 +1045,14 @@ function createDynamicUIHtml(data) {
Object.values(data.custom_nodes).forEach((node) => {
html += `
<div style="border-bottom: 1px solid #e2e8f0; padding-top: 16px;">
<a href="${
node.url
}" target="_blank" style="font-size: 18px; font-weight: semibold; color: white; text-decoration: none;">${
node.name
}</a>
<a href="${node.url
}" target="_blank" style="font-size: 18px; font-weight: semibold; color: white; text-decoration: none;">${node.name
}</a>
<p style="font-size: 14px; color: #4b5563;">${node.hash}</p>
${
node.warning
? `<p style="font-size: 14px; color: #d69e2e;">${node.warning}</p>`
: ""
}
${node.warning
? `<p style="font-size: 14px; color: #d69e2e;">${node.warning}</p>`
: ""
}
</div>
`;
});
@@ -955,9 +1066,8 @@ function createDynamicUIHtml(data) {
Object.entries(data.models).forEach(([section, items]) => {
html += `
<div style="border-bottom: 1px solid #e2e8f0; padding-top: 8px; padding-bottom: 8px;">
<h3 style="font-size: 18px; font-weight: semibold; margin-bottom: 8px;">${
section.charAt(0).toUpperCase() + section.slice(1)
}</h3>`;
<h3 style="font-size: 18px; font-weight: semibold; margin-bottom: 8px;">${section.charAt(0).toUpperCase() + section.slice(1)
}</h3>`;
items.forEach((item) => {
html += `<p style="font-size: 14px; color: ${textColor};">${item.name}</p>`;
});
@@ -973,9 +1083,8 @@ function createDynamicUIHtml(data) {
Object.entries(data.files).forEach(([section, items]) => {
html += `
<div style="border-bottom: 1px solid #e2e8f0; padding-top: 8px; padding-bottom: 8px;">
<h3 style="font-size: 18px; font-weight: semibold; margin-bottom: 8px;">${
section.charAt(0).toUpperCase() + section.slice(1)
}</h3>`;
<h3 style="font-size: 18px; font-weight: semibold; margin-bottom: 8px;">${section.charAt(0).toUpperCase() + section.slice(1)
}</h3>`;
items.forEach((item) => {
html += `<p style="font-size: 14px; color: ${textColor};">${item.name}</p>`;
});
@@ -1076,6 +1185,8 @@ async function deployWorkflow() {
const prompt = await app.graphToPrompt();
let deps = undefined;
console.log(prompt);
if (includeDeps) {
loadingDialog.showLoading("Fetching existing version");
@@ -1493,14 +1604,12 @@ export class LoadingDialog extends ComfyDialog {
showLoading(title, message) {
this.show(`
<div style="width: 400px; display: flex; gap: 18px; flex-direction: column; overflow: unset">
<h3 style="margin: 0px; display: flex; align-items: center; justify-content: center; gap: 12px;">${title} ${
this.loadingIcon
}</h3>
${
message
? `<label style="max-width: 100%; white-space: pre-wrap; word-wrap: break-word;">${message}</label>`
: ""
}
<h3 style="margin: 0px; display: flex; align-items: center; justify-content: center; gap: 12px;">${title} ${this.loadingIcon
}</h3>
${message
? `<label style="max-width: 100%; white-space: pre-wrap; word-wrap: break-word;">${message}</label>`
: ""
}
</div>
`);
}
@@ -1766,21 +1875,17 @@ export class ConfigDialog extends ComfyDialog {
</label>
<label style="color: white; width: 100%;">
Endpoint:
<input id="endpoint" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;" type="text" value="${
data.endpoint
}">
<input id="endpoint" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;" type="text" value="${data.endpoint
}">
</label>
<div style="color: white;">
API Key: User / Org <button style="font-size: 18px;">${
data.displayName ?? ""
}</button>
<input id="apiKey" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;" type="password" value="${
data.apiKey
}">
API Key: User / Org <button style="font-size: 18px;">${data.displayName ?? ""
}</button>
<input id="apiKey" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;" type="password" value="${data.apiKey
}">
<button id="loginButton" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;">
${
data.apiKey ? "Re-login with ComfyDeploy" : "Login with ComfyDeploy"
}
${data.apiKey ? "Re-login with ComfyDeploy" : "Login with ComfyDeploy"
}
</button>
</div>
</div>
@@ -1960,7 +2065,7 @@ async function loadWorkflowApi(versionId) {
console.log("Workflow API loaded:", response);
await window["app"].ui.settings.setSettingValueAsync(
"Comfy.Validation.Workflows",
false,
true,
);
app.loadGraphData(response.workflow);
// You might want to update the UI or trigger some action in ComfyUI here