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Author SHA1 Message Date
nick 177010b0d4 fix: lora 2024-04-24 17:00:16 -07:00
bennykok 797180b5c7 feat(plugin): add external image batch 2024-04-24 21:48:56 +08:00
bennykok d00ca375a2 chore: bump comfyui json version 2024-04-23 18:44:29 +08:00
bennykok be5d5d2b54 feat: update deploy method 2024-04-23 14:11:11 +08:00
bennykok d592a6ba12 feat: refactor deployment code 2024-04-22 00:07:26 +08:00
bennykok 35fed9aa4d fix: failed case marked as success 2024-04-20 01:38:31 +08:00
bennykok 3b6a753472 feat: workspace_mode and window event 2024-04-19 16:01:47 +08:00
bennykok 7d2c521645 chore: clean up custom node log 2024-04-14 15:59:33 +08:00
bennykok f363b7e871 fix: make sure to skip the temp file. 2024-04-14 00:24:21 +08:00
bennykok 1b25cfdd6c feat: add file hash cache, workflow deployment will be faster
# Conflicts:
#	.gitignore
2024-04-12 19:53:03 +08:00
bennykok 5da56b5507 chore: tweak log 2024-04-12 18:43:24 +08:00
bennykok 03d12e4099 fix!: skipping preview image as save node 2024-04-12 13:34:27 +08:00
bennykok e66712425d fix: bump comfydeploy deps 2024-04-12 12:28:41 +08:00
bennykok 81f315e14d fix: clashes with ComfyUI manager restart 2024-03-27 13:14:57 -07:00
bennykok 7189f13263 fix: added queue_prompt from event, now input and image will not trigger queue prompt 2024-03-18 14:31:43 -07:00
bennykok e73392ba8b fix(plugin): external checkpoint fixes 2024-03-08 14:35:44 -08:00
bennykok 1bfbd91708 feat(plugin): add models endpoints for listing out all folder paths for debug usecase 2024-03-03 16:17:43 -08:00
bennykok a640e1eb79 fix(plugin): kill pending prompt if new streaming prompts comes in 2024-03-02 12:44:42 -08:00
bennykok 011d36edce fix(plugin): default_value to be optional in streaming image input 2024-03-02 12:22:25 -08:00
bennykok 3df549c25c feat: add ws streaming input 2024-03-02 00:47:28 -08:00
bennykok 619a9728c0 fix(plugin): prompt expansion node seed generation error 2024-02-29 19:09:33 -08:00
bennykok 410d03cd2b fix(plugin): output_id is also included in the binary data back 2024-02-29 11:40:36 -08:00
bennykok 32c6d1215b feat(plugin): streaming file type support, webp and jepg, quality settings 2024-02-28 14:28:39 -08:00
bennykok 9e79c434a9 fix(plugin): make sure number input nodes takes down to 0.01 steps and its casted to float 2024-02-28 12:09:18 -08:00
bennykok 19511e55ba fix(plugin): make sure number input nodes takes down to 0.01 steps 2024-02-28 11:59:26 -08:00
bennykok 2d59fd2b1b feat(plugin): update run status for ws request 2024-02-27 19:45:10 -08:00
bennykok 542b72bde5 fix(plugin): deploy login button 2024-02-26 13:09:48 -08:00
bennykok 7b653201ae fix(plugin): update prompt metadata status properly with realtime prompt 2024-02-26 00:09:56 -08:00
bennykok 1c9c32e9e4 fix(plugin): client id wrongly set causing not sending out ws event 2024-02-25 23:52:20 -08:00
bennykok 97096a9035 feat(plugin): send live_status and elapsed_time 2024-02-25 22:48:22 -08:00
bennykok e87bb63c6f fix(plugin): is_realtime check failed causing everything to not upload 2024-02-25 22:48:22 -08:00
bennykok a643fa0999 fix(plugin): remove file upload + status update from is_realtime prompt 2024-02-25 17:25:41 -08:00
bennykok cc31840d41 fix(plugin): comfy_deploy_check_ws_status 2024-02-25 00:18:07 -08:00
bennykok 25e62af24c refactor(plugin): add prompt_metadata types and refactor from dict to data model 2024-02-24 23:57:32 -08:00
bennykok 9d0ded7ecc feat(plugin): display workflow name on deploy
- remove 2 seconds delay
- use comfy deploy for dependency viewer
- display user / org label
- when login with comfy deploy, ensure save and re load the current url
2024-02-24 23:57:32 -08:00
bennykok ec620dbc53 feat(plugin): load workflow from ws url params 2024-02-24 13:29:56 -08:00
bennykok 45d37879c2 fix: not returning images in websocket output node 2024-02-23 15:09:31 -08:00
bennykok ddbf6848a7 feat(plugin): add output ws image node 2024-02-23 14:03:12 -08:00
nick 4ce2c98ae9 Merge branch 'license-update-agpl' 2024-02-19 08:52:29 -08:00
bennykok 6e068590a0 chore: bump comfyui-json version 2024-02-19 18:53:50 +08:00
nick d66c00f017 agpl3.0 2024-02-17 12:22:28 -08:00
bennykok 7ec3e1c0c8 fix: comfy deploy in empty graph 2024-02-17 23:47:55 +08:00
bennykok 6d1dd93b47 fix: typo name 2024-02-17 23:10:44 +08:00
bennykok f3370c1bb1 feat: add new dependency viewer, reused previous cache for faster deploy 2024-02-17 14:46:14 +08:00
Emmanuel Morales 126d8e77fb fix: ctrl+click/cmd+click to open a item of the menu (#29) 2024-02-17 13:34:36 +08:00
Emmanuel Morales 2cfad8bef6 feat(share): display muliple images (#28)
* fix(workflows): user can click multiple times on run even while loading

* feat(share): display muliple images
2024-02-17 13:32:56 +08:00
Syn 17653508c5 Self Host (#27)
* Update README.md

* Update README.md
2024-02-17 13:09:26 +08:00
Emmanuel Morales ace12efd1a fix(workflows): user can click multiple times on run even while loading (#26) 2024-02-15 14:39:20 +08:00
bennykok 01e8668d1a chore(plugin): update comfyui json 2024-02-14 14:56:11 +08:00
Emmanuel Morales 8e58d962a7 feat(example page): add inpaint, controlnet and sdxl turbo workflows (#24) 2024-02-14 12:49:32 +08:00
bennykok c59c308d32 chore(plugin): update comfyui-json version, fixed some custom nodes detection 2024-02-12 16:01:05 +08:00
bennykok 4560f2cca9 chore(plugin): update comfyui-json version 2024-02-11 21:53:48 +08:00
Nick Kao 872752b820 Merge pull request #22 from BennyKok/fix/createRun-overwritring-ComfyUIDeployExternalText-inputs
fix(create run): ComfyUIDeployExternalText default value was overwritten
2024-02-10 11:08:03 -08:00
EmmanuelMr18 97bb2b69c5 fix(create run): ComfyUIDeployExternalText default value overwriting 2024-02-10 10:57:54 -06:00
bennykok 08fe87c8af fix(plugin): cached execution progress update 2024-02-09 22:13:43 +08:00
bennykok d43e5fcefc fix: live status not sending, add progress 2024-02-09 21:52:48 +08:00
Emmanuel Morales 65492a108c feat(example page): create initial 4 cards (#21)
* feat(example page): add new examples section in the navbar

* feat(example page): initial layout of the new page

* feat(example page): create initial 4 workflows

* style(example page): center title

* style(example page): remove comment

* fix(example page): add hyperlink for txt2img card
2024-02-09 11:15:30 +08:00
22 changed files with 1482 additions and 399 deletions
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@@ -1,21 +1,208 @@
MIT License
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Copyright (c) 2023 BennyKok
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If conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot convey a covered work so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not convey it at all. For example, if you agree to terms that obligate you to collect a royalty for further conveying from those to whom you convey the Program, the only way you could satisfy both those terms and this License would be to refrain entirely from conveying the Program.
13. Remote Network Interaction; Use with the GNU General Public License.
Notwithstanding any other provision of this License, if you modify the Program, your modified version must prominently offer all users interacting with it remotely through a computer network (if your version supports such interaction) an opportunity to receive the Corresponding Source of your version by providing access to the Corresponding Source from a network server at no charge, through some standard or customary means of facilitating copying of software. This Corresponding Source shall include the Corresponding Source for any work covered by version 3 of the GNU General Public License that is incorporated pursuant to the following paragraph.
Notwithstanding any other provision of this License, you have permission to link or combine any covered work with a work licensed under version 3 of the GNU General Public License into a single combined work, and to convey the resulting work. The terms of this License will continue to apply to the part which is the covered work, but the work with which it is combined will remain governed by version 3 of the GNU General Public License.
14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions of the GNU Affero General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns.
Each version is given a distinguishing version number. If the Program specifies that a certain numbered version of the GNU Affero General Public License "or any later version" applies to it, you have the option of following the terms and conditions either of that numbered version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of the GNU Affero General Public License, you may choose any version ever published by the Free Software Foundation.
If the Program specifies that a proxy can decide which future versions of the GNU Affero General Public License can be used, that proxy's public statement of acceptance of a version permanently authorizes you to choose that version for the Program.
Later license versions may give you additional or different permissions. However, no additional obligations are imposed on any author or copyright holder as a result of your choosing to follow a later version.
15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided above cannot be given local legal effect according to their terms, reviewing courts shall apply local law that most closely approximates an absolute waiver of all civil liability in connection with the Program, unless a warranty or assumption of liability accompanies a copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If your software can interact with users remotely through a computer network, you should also make sure that it provides a way for users to get its source. For example, if your program is a web application, its interface could display a "Source" link that leads users to an archive of the code. There are many ways you could offer source, and different solutions will be better for different programs; see section 13 for the specific requirements.
You should also get your employer (if you work as a programmer) or school, if any, to sign a "copyright disclaimer" for the program, if necessary. For more information on this, and how to apply and follow the GNU AGPL, see <https://www.gnu.org/licenses/>.
+4
View File
@@ -93,6 +93,10 @@ 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
```
+4 -4
View File
@@ -16,7 +16,7 @@ class ComfyUIDeployExternalCheckpoint:
),
},
"optional": {
"default_checkpoint_name": (folder_paths.get_filename_list("checkpoints"), ),
"default_value": (folder_paths.get_filename_list("checkpoints"), ),
}
}
@@ -27,12 +27,12 @@ class ComfyUIDeployExternalCheckpoint:
CATEGORY = "deploy"
def run(self, input_id, default_checkpoint_name=None):
def run(self, input_id, default_value=None):
import requests
import os
import uuid
if input_id and input_id.startswith('http'):
if default_value.startswith('http'):
unique_filename = str(uuid.uuid4()) + ".safetensors"
print(unique_filename)
print(folder_paths.folder_names_and_paths["checkpoints"][0][0])
@@ -59,7 +59,7 @@ class ComfyUIDeployExternalCheckpoint:
out_file.write(chunk)
return (unique_filename,)
else:
return (default_checkpoints_name,)
return (default_value,)
NODE_CLASS_MAPPINGS = {
+85
View File
@@ -0,0 +1,85 @@
import folder_paths
from PIL import Image, ImageOps
import numpy as np
import torch
import json
import comfy
class ComfyUIDeployExternalImageBatch:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"input_id": (
"STRING",
{"multiline": False, "default": "input_images"},
),
"images": (
"STRING",
{"multiline": False, "default": "[]"},
),
},
"optional": {
"default_value": ("IMAGE",),
}
}
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("image",)
FUNCTION = "run"
CATEGORY = "image"
def run(self, input_id, images=None, default_value=None):
processed_images = []
try:
images_list = json.loads(images) # Assuming images is a JSON array string
print(images_list)
for img_input in images_list:
if img_input.startswith('http'):
import requests
from io import BytesIO
print("Fetching image from url: ", img_input)
response = requests.get(img_input)
image = Image.open(BytesIO(response.content))
elif img_input.startswith('data:image/png;base64,') or img_input.startswith('data:image/jpeg;base64,') or img_input.startswith('data:image/jpg;base64,'):
import base64
from io import BytesIO
print("Decoding base64 image")
base64_image = img_input[img_input.find(",")+1:]
decoded_image = base64.b64decode(base64_image)
image = Image.open(BytesIO(decoded_image))
else:
raise ValueError("Invalid image url or base64 data provided.")
image = ImageOps.exif_transpose(image)
image = image.convert("RGB")
image = np.array(image).astype(np.float32) / 255.0
image_tensor = torch.from_numpy(image)[None,]
processed_images.append(image_tensor)
except Exception as e:
print(f"Error processing images: {e}")
pass
if default_value is not None and len(images_list) == 0:
processed_images.append(default_value) # Assuming default_value is a pre-processed image tensor
# Resize images if necessary and concatenate from MakeImageBatch in ImpactPack
if processed_images:
base_shape = processed_images[0].shape[1:] # Get the shape of the first image for comparison
batch_tensor = processed_images[0]
for i in range(1, len(processed_images)):
if processed_images[i].shape[1:] != base_shape:
# Resize to match the first image's dimensions
processed_images[i] = comfy.utils.common_upscale(processed_images[i].movedim(-1, 1), base_shape[1], base_shape[0], "lanczos", "center").movedim(1, -1)
batch_tensor = torch.cat((batch_tensor, processed_images[i]), dim=0)
# Concatenate using torch.cat
else:
batch_tensor = None # or handle the empty case as needed
return (batch_tensor, )
NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalImageBatch": ComfyUIDeployExternalImageBatch}
NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployExternalImageBatch": "External Image Batch (ComfyUI Deploy)"}
+20 -13
View File
@@ -32,19 +32,26 @@ class ComfyUIDeployExternalLora:
import os
import uuid
if input_id and input_id.startswith('http'):
unique_filename = str(uuid.uuid4()) + ".safetensors"
print(unique_filename)
print(folder_paths.folder_names_and_paths["loras"][0][0])
destination_path = os.path.join(folder_paths.folder_names_and_paths["loras"][0][0], unique_filename)
print(destination_path)
print("Downloading external lora - " + input_id + " to " + destination_path)
response = requests.get(input_id, headers={'User-Agent': 'Mozilla/5.0'}, allow_redirects=True)
with open(destination_path, 'wb') as out_file:
out_file.write(response.content)
return (unique_filename,)
else:
return (default_lora_name,)
print('external lora using')
print("input id: ", input_id)
print("default lora : ", default_lora_name)
if input_id:
if input_id.startswith('http'):
unique_filename = str(uuid.uuid4()) + ".safetensors"
print(unique_filename)
print(folder_paths.folder_names_and_paths["loras"][0][0])
destination_path = os.path.join(folder_paths.folder_names_and_paths["loras"][0][0], unique_filename)
print(destination_path)
print("Downloading external lora - " + input_id + " to " + destination_path)
response = requests.get(input_id, headers={'User-Agent': 'Mozilla/5.0'}, allow_redirects=True)
with open(destination_path, 'wb') as out_file:
out_file.write(response.content)
return (unique_filename,)
else:
return (input_id,)
return (default_lora_name,)
NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalLora": ComfyUIDeployExternalLora}
+6 -3
View File
@@ -16,7 +16,7 @@ class ComfyUIDeployExternalNumber:
"optional": {
"default_value": (
"FLOAT",
{"multiline": True, "display": "number", "default": 0},
{"multiline": True, "display": "number", "default": 0, "step": 0.01},
),
}
}
@@ -29,9 +29,12 @@ class ComfyUIDeployExternalNumber:
CATEGORY = "number"
def run(self, input_id, default_value=None):
if not input_id or not input_id.strip().isdigit():
try:
float_value = float(input_id)
print("my number", float_value)
return [float_value]
except ValueError:
return [default_value]
return [int(input_id)]
NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalNumber": ComfyUIDeployExternalNumber}
+66
View File
@@ -0,0 +1,66 @@
import folder_paths
from PIL import Image, ImageOps
import numpy as np
import torch
from server import PromptServer, BinaryEventTypes
import asyncio
from globals import streaming_prompt_metadata, max_output_id_length
class ComfyDeployWebscoketImageInput:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"input_id": (
"STRING",
{"multiline": False, "default": "input_id"},
),
"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
},
"optional": {
"default_value": ("IMAGE", ),
"client_id": (
"STRING",
{"multiline": False, "default": ""},
),
}
}
OUTPUT_NODE = True
RETURN_TYPES = ("IMAGE", )
RETURN_NAMES = ("images",)
FUNCTION = "run"
@classmethod
def VALIDATE_INPUTS(s, input_id):
try:
if len(input_id.encode('ascii')) > max_output_id_length:
raise ValueError(f"input_id size is greater than {max_output_id_length} bytes")
except UnicodeEncodeError:
raise ValueError("input_id is not ASCII encodable")
return True
def run(self, input_id, seed, default_value=None ,client_id=None):
# print(streaming_prompt_metadata[client_id].inputs)
if client_id in streaming_prompt_metadata and input_id in streaming_prompt_metadata[client_id].inputs:
if isinstance(streaming_prompt_metadata[client_id].inputs[input_id], Image.Image):
print("Returning image from websocket input")
image = streaming_prompt_metadata[client_id].inputs[input_id]
image = ImageOps.exif_transpose(image)
image = image.convert("RGB")
image = np.array(image).astype(np.float32) / 255.0
image = torch.from_numpy(image)[None,]
return [image]
print("Returning default value")
return [default_value]
NODE_CLASS_MAPPINGS = {"ComfyDeployWebscoketImageInput": ComfyDeployWebscoketImageInput}
NODE_DISPLAY_NAME_MAPPINGS = {"ComfyDeployWebscoketImageInput": "Image Websocket Input (ComfyDeploy)"}
+71
View File
@@ -0,0 +1,71 @@
import folder_paths
from PIL import Image, ImageOps
import numpy as np
import torch
from server import PromptServer, BinaryEventTypes
import asyncio
from globals import send_image, max_output_id_length
class ComfyDeployWebscoketImageOutput:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"output_id": (
"STRING",
{"multiline": False, "default": "output_id"},
),
"images": ("IMAGE", ),
"file_type": (["WEBP", "PNG", "JPEG"], ),
"quality": ("INT", {"default": 80, "min": 1, "max": 100, "step": 1}),
},
"optional": {
"client_id": (
"STRING",
{"multiline": False, "default": ""},
),
}
# "hidden": {"client_id": "CLIENT_ID"},
}
OUTPUT_NODE = True
RETURN_TYPES = ()
RETURN_NAMES = ("text",)
FUNCTION = "run"
CATEGORY = "output"
@classmethod
def VALIDATE_INPUTS(s, output_id):
try:
if len(output_id.encode('ascii')) > max_output_id_length:
raise ValueError(f"output_id size is greater than {max_output_id_length} bytes")
except UnicodeEncodeError:
raise ValueError("output_id is not ASCII encodable")
return True
def run(self, output_id, images, file_type, quality, client_id):
prompt_server = PromptServer.instance
loop = prompt_server.loop
def schedule_coroutine_blocking(target, *args):
future = asyncio.run_coroutine_threadsafe(target(*args), loop)
return future.result() # This makes the call blocking
for tensor in images:
array = 255.0 * tensor.cpu().numpy()
image = Image.fromarray(np.clip(array, 0, 255).astype(np.uint8))
schedule_coroutine_blocking(send_image, [file_type, image, None, quality], client_id, output_id)
print("Image sent")
return {"ui": {}}
NODE_CLASS_MAPPINGS = {"ComfyDeployWebscoketImageOutput": ComfyDeployWebscoketImageOutput}
NODE_DISPLAY_NAME_MAPPINGS = {"ComfyDeployWebscoketImageOutput": "Image Websocket Output (ComfyDeploy)"}
+427 -95
View File
@@ -1,36 +1,48 @@
from io import BytesIO
from aiohttp import web
import os
import requests
import folder_paths
import json
import numpy as np
import server
import re
import base64
from PIL import Image
import io
import time
import execution
import random
import traceback
import uuid
import asyncio
import atexit
import logging
import sys
from logging.handlers import RotatingFileHandler
from enum import Enum
from urllib.parse import quote
import threading
import hashlib
import aiohttp
import aiofiles
from typing import List, Union, Any, Optional
from PIL import Image
import copy
import struct
from globals import StreamingPrompt, Status, sockets, SimplePrompt, streaming_prompt_metadata, prompt_metadata
api = None
api_task = None
prompt_metadata = {}
cd_enable_log = os.environ.get('CD_ENABLE_LOG', 'false').lower() == 'true'
cd_enable_run_log = os.environ.get('CD_ENABLE_RUN_LOG', 'false').lower() == 'true'
def clear_current_prompt(sid):
prompt_server = server.PromptServer.instance
to_delete = list(streaming_prompt_metadata[sid].running_prompt_ids) # Convert set to list
print("clearning out prompt: ", to_delete)
for id_to_delete in to_delete:
delete_func = lambda a: a[1] == id_to_delete
prompt_server.prompt_queue.delete_queue_item(delete_func)
print("deleted prompt: ", id_to_delete, prompt_server.prompt_queue.get_tasks_remaining())
streaming_prompt_metadata[sid].running_prompt_ids.clear()
def post_prompt(json_data):
prompt_server = server.PromptServer.instance
json_data = prompt_server.trigger_on_prompt(json_data)
@@ -78,19 +90,105 @@ def randomSeed(num_digits=15):
range_end = (10**num_digits) - 1
return random.randint(range_start, range_end)
def apply_random_seed_to_workflow(workflow_api):
"""
Applies a random seed to each element in the workflow_api that has a 'seed' input.
Args:
workflow_api (dict): The workflow API dictionary to modify.
"""
for key in workflow_api:
if 'inputs' in workflow_api[key] and 'seed' in workflow_api[key]['inputs']:
if isinstance(workflow_api[key]['inputs']['seed'], list):
continue
if workflow_api[key]['class_type'] == "PromptExpansion":
workflow_api[key]['inputs']['seed'] = randomSeed(8);
continue
workflow_api[key]['inputs']['seed'] = randomSeed();
def apply_inputs_to_workflow(workflow_api: Any, inputs: Any, sid: str = None):
# Loop through each of the inputs and replace them
for key, value in workflow_api.items():
if 'inputs' in value:
# Support websocket
if sid is not None:
if (value["class_type"] == "ComfyDeployWebscoketImageOutput"):
value['inputs']["client_id"] = sid
if (value["class_type"] == "ComfyDeployWebscoketImageInput"):
value['inputs']["client_id"] = sid
if "input_id" in value['inputs'] and value['inputs']['input_id'] in inputs:
new_value = inputs[value['inputs']['input_id']]
# Lets skip it if its an image
if isinstance(new_value, Image.Image):
continue
# Backward compactibility
value['inputs']["input_id"] = new_value
# Fix for external text default value
if (value["class_type"] == "ComfyUIDeployExternalText"):
value['inputs']["default_value"] = new_value
if (value["class_type"] == "ComfyUIDeployExternalCheckpoint"):
value['inputs']["default_value"] = new_value
if (value["class_type"] == "ComfyUIDeployExternalImageBatch"):
value['inputs']["images"] = new_value
def send_prompt(sid: str, inputs: StreamingPrompt):
# workflow_api = inputs.workflow_api
workflow_api = copy.deepcopy(inputs.workflow_api)
# Random seed
apply_random_seed_to_workflow(workflow_api)
print("getting inputs" , inputs.inputs)
apply_inputs_to_workflow(workflow_api, inputs.inputs, sid=sid)
print(workflow_api)
prompt_id = str(uuid.uuid4())
prompt = {
"prompt": workflow_api,
"client_id": sid, #"comfy_deploy_instance", #api.client_id
"prompt_id": prompt_id
}
try:
res = post_prompt(prompt)
inputs.running_prompt_ids.add(prompt_id)
prompt_metadata[prompt_id] = SimplePrompt(
status_endpoint=inputs.status_endpoint,
file_upload_endpoint=inputs.file_upload_endpoint,
workflow_api=workflow_api,
is_realtime=True
)
except Exception as e:
error_type = type(e).__name__
stack_trace_short = traceback.format_exc().strip().split('\n')[-2]
stack_trace = traceback.format_exc().strip()
print(f"error: {error_type}, {e}")
print(f"stack trace: {stack_trace_short}")
@server.PromptServer.instance.routes.post("/comfyui-deploy/run")
async def comfy_deploy_run(request):
prompt_server = server.PromptServer.instance
data = await request.json()
workflow_api = data.get("workflow_api")
# In older version, we use workflow_api, but this has inputs already swapped in nextjs frontend, which is tricky
workflow_api = data.get("workflow_api_raw")
# The prompt id generated from comfy deploy, can be None
prompt_id = data.get("prompt_id")
inputs = data.get("inputs")
for key in workflow_api:
if 'inputs' in workflow_api[key] and 'seed' in workflow_api[key]['inputs']:
workflow_api[key]['inputs']['seed'] = randomSeed()
# Now it handles directly in here
apply_random_seed_to_workflow(workflow_api)
apply_inputs_to_workflow(workflow_api, inputs)
prompt = {
"prompt": workflow_api,
@@ -98,11 +196,11 @@ async def comfy_deploy_run(request):
"prompt_id": prompt_id
}
prompt_metadata[prompt_id] = {
'status_endpoint': data.get('status_endpoint'),
'file_upload_endpoint': data.get('file_upload_endpoint'),
'workflow_api': workflow_api
}
prompt_metadata[prompt_id] = SimplePrompt(
status_endpoint=data.get('status_endpoint'),
file_upload_endpoint=data.get('file_upload_endpoint'),
workflow_api=workflow_api
)
try:
res = post_prompt(prompt)
@@ -146,7 +244,6 @@ async def comfy_deploy_run(request):
return web.json_response(res, status=status)
sockets = dict()
def get_comfyui_path_from_file_path(file_path):
file_path_parts = file_path.split("\\")
@@ -163,18 +260,36 @@ def get_comfyui_path_from_file_path(file_path):
return file_path
# Form ComfyUI Manager
def compute_sha256_checksum(filepath):
async def compute_sha256_checksum(filepath):
print("computing sha256 checksum")
chunk_size = 1024 * 256 # Example: 256KB
filepath = get_comfyui_path_from_file_path(filepath)
"""Compute the SHA256 checksum of a file, in chunks"""
"""Compute the SHA256 checksum of a file, in chunks, asynchronously"""
sha256 = hashlib.sha256()
with open(filepath, 'rb') as f:
for chunk in iter(lambda: f.read(4096), b''):
async with aiofiles.open(filepath, 'rb') as f:
while True:
chunk = await f.read(chunk_size)
if not chunk:
break
sha256.update(chunk)
return sha256.hexdigest()
@server.PromptServer.instance.routes.get('/comfyui-deploy/models')
async def get_installed_models(request):
# Directly return the list of paths as JSON
new_dict = {}
for key, value in folder_paths.folder_names_and_paths.items():
# Convert set to list for JSON compatibility
# for path in value[0]:
file_list = folder_paths.get_filename_list(key)
value_json_compatible = (value[0], list(value[1]), file_list)
new_dict[key] = value_json_compatible
# print(new_dict)
return web.json_response(new_dict)
# This is start uploading the files to Comfy Deploy
@server.PromptServer.instance.routes.post('/comfyui-deploy/upload-file')
async def upload_file(request):
async def upload_file_endpoint(request):
data = await request.json()
file_path = data.get("file_path")
@@ -256,22 +371,58 @@ async def upload_file(request):
}, status=500)
script_dir = os.path.dirname(os.path.abspath(__file__))
# Assuming the cache file is stored in the same directory as this script
CACHE_FILE_PATH = script_dir + '/file-hash-cache.json'
# Global in-memory cache
file_hash_cache = {}
# Load cache from disk at startup
def load_cache():
global file_hash_cache
try:
with open(CACHE_FILE_PATH, 'r') as cache_file:
file_hash_cache = json.load(cache_file)
except (FileNotFoundError, json.JSONDecodeError):
file_hash_cache = {}
# Save cache to disk
def save_cache():
with open(CACHE_FILE_PATH, 'w') as cache_file:
json.dump(file_hash_cache, cache_file)
# Initialize cache on application start
load_cache()
@server.PromptServer.instance.routes.get('/comfyui-deploy/get-file-hash')
async def get_file_hash(request):
file_path = request.rel_url.query.get('file_path', '')
if file_path is None:
if not file_path:
return web.json_response({
"error": "file_path is required"
}, status=400)
try:
base = folder_paths.base_path
file_path = os.path.join(base, file_path)
# print("file_path", file_path)
file_hash = compute_sha256_checksum(
file_path
)
full_file_path = os.path.join(base, file_path)
# Check if the file hash is in the cache
if full_file_path in file_hash_cache:
file_hash = file_hash_cache[full_file_path]
else:
start_time = time.time()
file_hash = await compute_sha256_checksum(full_file_path)
end_time = time.time()
elapsed_time = end_time - start_time
print(f"Cache miss -> Execution time: {elapsed_time} seconds")
# Update the in-memory cache
file_hash_cache[full_file_path] = file_hash
save_cache()
return web.json_response({
"file_hash": file_hash
})
@@ -280,6 +431,16 @@ async def get_file_hash(request):
"error": str(e)
}, status=500)
async def update_realtime_run_status(realtime_id: str, status_endpoint: str, status: Status):
body = {
"run_id": realtime_id,
"status": status.value,
}
# requests.post(status_endpoint, json=body)
async with aiohttp.ClientSession() as session:
async with session.post(status_endpoint, json=body) as response:
pass
@server.PromptServer.instance.routes.get('/comfyui-deploy/ws')
async def websocket_handler(request):
ws = web.WebSocketResponse()
@@ -293,35 +454,134 @@ async def websocket_handler(request):
sockets[sid] = ws
auth_token = request.rel_url.query.get('token', None)
get_workflow_endpoint_url = request.rel_url.query.get('workflow_endpoint', None)
realtime_id = request.rel_url.query.get('realtime_id', None)
status_endpoint = request.rel_url.query.get('status_endpoint', None)
if auth_token is not None and get_workflow_endpoint_url is not None:
async with aiohttp.ClientSession() as session:
headers = {'Authorization': f'Bearer {auth_token}'}
async with session.get(get_workflow_endpoint_url, headers=headers) as response:
if response.status == 200:
workflow = await response.json()
print("Loaded workflow version ",workflow["version"])
streaming_prompt_metadata[sid] = StreamingPrompt(
workflow_api=workflow["workflow_api"],
auth_token=auth_token,
inputs={},
status_endpoint=status_endpoint,
file_upload_endpoint=request.rel_url.query.get('file_upload_endpoint', None),
)
await update_realtime_run_status(realtime_id, status_endpoint, Status.RUNNING)
# await send("workflow_api", workflow_api, sid)
else:
error_message = await response.text()
print(f"Failed to fetch workflow endpoint. Status: {response.status}, Error: {error_message}")
# await send("error", {"message": error_message}, sid)
try:
# Send initial state to the new client
await send("status", { 'sid': sid }, sid)
if cd_enable_log:
# Make sure when its connected via client, the full log is not being sent
if cd_enable_log and get_workflow_endpoint_url is None:
await send_first_time_log(sid)
async for msg in ws:
if msg.type == aiohttp.WSMsgType.TEXT:
try:
data = json.loads(msg.data)
print(data)
event_type = data.get('event')
if event_type == 'input':
print("Got input: ", data.get("inputs"))
input = data.get('inputs')
streaming_prompt_metadata[sid].inputs.update(input)
elif event_type == 'queue_prompt':
clear_current_prompt(sid)
send_prompt(sid, streaming_prompt_metadata[sid])
else:
# Handle other event types
pass
except json.JSONDecodeError:
print('Failed to decode JSON from message')
if msg.type == aiohttp.WSMsgType.BINARY:
data = msg.data
event_type, = struct.unpack("<I", data[:4])
if event_type == 0: # Image input
image_type_code, = struct.unpack("<I", data[4:8])
input_id_bytes = data[8:32] # Extract the next 24 bytes for the input ID
input_id = input_id_bytes.decode('ascii').strip() # Decode the input ID from ASCII
print(event_type)
print(image_type_code)
print(input_id)
image_data = data[32:] # The rest is the image data
if image_type_code == 1:
image_type = "JPEG"
elif image_type_code == 2:
image_type = "PNG"
elif image_type_code == 3:
image_type = "WEBP"
else:
print("Unknown image type code:", image_type_code)
return
image = Image.open(BytesIO(image_data))
# Check if the input ID already exists and replace the input with the new one
if input_id in streaming_prompt_metadata[sid].inputs:
# If the input exists, we assume it's an image and attempt to close it to free resources
try:
existing_image = streaming_prompt_metadata[sid].inputs[input_id]
if hasattr(existing_image, 'close'):
existing_image.close()
except Exception as e:
print(f"Error closing previous image for input ID {input_id}: {e}")
streaming_prompt_metadata[sid].inputs[input_id] = image
# clear_current_prompt(sid)
# send_prompt(sid, streaming_prompt_metadata[sid])
print(f"Received {image_type} image of size {image.size} with input ID {input_id}")
if msg.type == aiohttp.WSMsgType.ERROR:
print('ws connection closed with exception %s' % ws.exception())
finally:
sockets.pop(sid, None)
if realtime_id is not None:
await update_realtime_run_status(realtime_id, status_endpoint, Status.SUCCESS)
return ws
@server.PromptServer.instance.routes.get('/comfyui-deploy/check-status')
async def comfy_deploy_check_status(request):
prompt_server = server.PromptServer.instance
prompt_id = request.rel_url.query.get('prompt_id', None)
if prompt_id in prompt_metadata and 'status' in prompt_metadata[prompt_id]:
if prompt_id in prompt_metadata:
return web.json_response({
"status": prompt_metadata[prompt_id]['status'].value
"status": prompt_metadata[prompt_id].status.value
})
else:
return web.json_response({
"message": "prompt_id not found"
})
@server.PromptServer.instance.routes.get('/comfyui-deploy/check-ws-status')
async def comfy_deploy_check_ws_status(request):
client_id = request.rel_url.query.get('client_id', None)
if client_id in streaming_prompt_metadata:
remaining_queue = 0 # Initialize remaining queue count
for prompt_id in streaming_prompt_metadata[client_id].running_prompt_ids:
prompt_status = prompt_metadata[prompt_id].status
if prompt_status not in [Status.FAILED, Status.SUCCESS]:
remaining_queue += 1 # Increment for each prompt still running
return web.json_response({"remaining_queue": remaining_queue})
else:
return web.json_response({"message": "client_id not found"}, status=404)
async def send(event, data, sid=None):
try:
# message = {"event": event, "data": data}
if sid:
ws = sockets.get(sid)
if ws != None and not ws.closed: # Check if the WebSocket connection is open and not closing
@@ -337,37 +597,75 @@ async def send(event, data, sid=None):
logging.basicConfig(level=logging.INFO)
prompt_server = server.PromptServer.instance
send_json = prompt_server.send_json
async def send_json_override(self, event, data, sid=None):
# print("INTERNAL:", event, data, sid)
prompt_id = data.get('prompt_id')
target_sid = sid
if target_sid == "comfy_deploy_instance":
target_sid = None
# now we send everything
await asyncio.wait([
asyncio.create_task(send(event, data)),
asyncio.create_task(send(event, data, sid=target_sid)),
asyncio.create_task(self.send_json_original(event, data, sid))
])
if event == 'execution_start':
update_run(prompt_id, Status.RUNNING)
if prompt_id in prompt_metadata:
prompt_metadata[prompt_id].start_time = time.perf_counter()
# the last executing event is none, then the workflow is finished
if event == 'executing' and data.get('node') is None:
mark_prompt_done(prompt_id=prompt_id)
if not have_pending_upload(prompt_id):
update_run(prompt_id, Status.SUCCESS)
if prompt_id in prompt_metadata:
current_time = time.perf_counter()
if prompt_metadata[prompt_id].start_time is not None:
elapsed_time = current_time - prompt_metadata[prompt_id].start_time
print(f"Elapsed time: {elapsed_time} seconds")
await send("elapsed_time", {
"prompt_id": prompt_id,
"elapsed_time": elapsed_time
}, sid=sid)
if event == 'executing' and data.get('node') is not None:
node = data.get('node')
if 'prompt_id' in prompt_metadata:
if 'last_updated_node' in prompt_metadata[prompt_id] and prompt_metadata[prompt_id]['last_updated_node'] == node:
if prompt_id in prompt_metadata:
# if 'progress' not in prompt_metadata[prompt_id]:
# prompt_metadata[prompt_id]["progress"] = set()
prompt_metadata[prompt_id].progress.add(node)
calculated_progress = len(prompt_metadata[prompt_id].progress) / len(prompt_metadata[prompt_id].workflow_api)
# print("calculated_progress", calculated_progress)
if prompt_metadata[prompt_id].last_updated_node is not None and prompt_metadata[prompt_id].last_updated_node == node:
return
prompt_metadata[prompt_id]['last_updated_node'] = node
class_type = prompt_metadata[prompt_id]['workflow_api'][node]['class_type']
prompt_metadata[prompt_id].last_updated_node = node
class_type = prompt_metadata[prompt_id].workflow_api[node]['class_type']
print("updating run live status", class_type)
await update_run_live_status(prompt_id, "Executing " + class_type)
await send("live_status", {
"prompt_id": prompt_id,
"current_node": class_type,
"progress": calculated_progress,
}, sid=sid)
await update_run_live_status(prompt_id, "Executing " + class_type, calculated_progress)
if event == 'execution_cached' and data.get('nodes') is not None:
if prompt_id in prompt_metadata:
# if 'progress' not in prompt_metadata[prompt_id]:
# prompt_metadata[prompt_id].progress = set()
if 'nodes' in data:
for node in data.get('nodes', []):
prompt_metadata[prompt_id].progress.add(node)
# prompt_metadata[prompt_id]["progress"].update(data.get('nodes'))
if event == 'execution_error':
# Careful this might not be fully awaited.
@@ -376,48 +674,62 @@ async def send_json_override(self, event, data, sid=None):
# await update_run_with_output(prompt_id, data)
if event == 'executed' and 'node' in data and 'output' in data:
print("executed", data)
if prompt_id in prompt_metadata:
node = data.get('node')
class_type = prompt_metadata[prompt_id].workflow_api[node]['class_type']
print("executed", class_type)
if class_type == "PreviewImage":
print("skipping preview image")
return
await update_run_with_output(prompt_id, data.get('output'), node_id=data.get('node'))
# await update_run_with_output(prompt_id, data.get('output'), node_id=data.get('node'))
# update_run_with_output(prompt_id, data.get('output'))
class Status(Enum):
NOT_STARTED = "not-started"
RUNNING = "running"
SUCCESS = "success"
FAILED = "failed"
UPLOADING = "uploading"
# Global variable to keep track of the last read line number
last_read_line_number = 0
async def update_run_live_status(prompt_id, live_status):
async def update_run_live_status(prompt_id, live_status, calculated_progress: float):
if prompt_id not in prompt_metadata:
return
status_endpoint = prompt_metadata[prompt_id]['status_endpoint']
if prompt_metadata[prompt_id].is_realtime is True:
return
print("progress", calculated_progress)
status_endpoint = prompt_metadata[prompt_id].status_endpoint
body = {
"run_id": prompt_id,
"live_status": live_status,
"progress": calculated_progress
}
# requests.post(status_endpoint, json=body)
async with aiohttp.ClientSession() as session:
await session.post(status_endpoint, json=body)
async with session.post(status_endpoint, json=body) as response:
pass
def update_run(prompt_id, status: Status):
def update_run(prompt_id: str, status: Status):
global last_read_line_number
if prompt_id not in prompt_metadata:
return
if ('status' not in prompt_metadata[prompt_id] or prompt_metadata[prompt_id]['status'] != status):
# if prompt_metadata[prompt_id].start_time is None and status == Status.RUNNING:
# if its realtime prompt we need to skip that.
if prompt_metadata[prompt_id].is_realtime is True:
prompt_metadata[prompt_id].status = status
return
if (prompt_metadata[prompt_id].status != status):
# when the status is already failed, we don't want to update it to success
if ('status' in prompt_metadata[prompt_id] and prompt_metadata[prompt_id]['status'] == Status.FAILED):
if (prompt_metadata[prompt_id].status is Status.FAILED):
return
status_endpoint = prompt_metadata[prompt_id]['status_endpoint']
status_endpoint = prompt_metadata[prompt_id].status_endpoint
body = {
"run_id": prompt_id,
"status": status.value,
@@ -458,13 +770,12 @@ def update_run(prompt_id, status: Status):
except Exception as log_error:
print(f"Error reading log file: {log_error}")
except Exception as e:
error_type = type(e).__name__
stack_trace = traceback.format_exc().strip()
print(f"Error occurred while updating run: {e} {stack_trace}")
finally:
prompt_metadata[prompt_id]['status'] = status
prompt_metadata[prompt_id].status = status
async def upload_file(prompt_id, filename, subfolder=None, content_type="image/png", type="output"):
@@ -496,7 +807,7 @@ async def upload_file(prompt_id, filename, subfolder=None, content_type="image/p
print("uploading file", file)
file_upload_endpoint = prompt_metadata[prompt_id]['file_upload_endpoint']
file_upload_endpoint = prompt_metadata[prompt_id].file_upload_endpoint
filename = quote(filename)
prompt_id = quote(prompt_id)
@@ -520,22 +831,36 @@ async def upload_file(prompt_id, filename, subfolder=None, content_type="image/p
print("upload file response", response.status)
def have_pending_upload(prompt_id):
if 'prompt_id' in prompt_metadata and 'uploading_nodes' in prompt_metadata[prompt_id] and len(prompt_metadata[prompt_id]['uploading_nodes']) > 0:
print("have pending upload ", len(prompt_metadata[prompt_id]['uploading_nodes']))
if prompt_id in prompt_metadata and len(prompt_metadata[prompt_id].uploading_nodes) > 0:
print("have pending upload ", len(prompt_metadata[prompt_id].uploading_nodes))
return True
print("no pending upload")
return False
def mark_prompt_done(prompt_id):
"""
Mark the prompt as done in the prompt metadata.
Args:
prompt_id (str): The ID of the prompt to mark as done.
"""
if prompt_id in prompt_metadata:
prompt_metadata[prompt_id]["done"] = True
prompt_metadata[prompt_id].done = True
print("Prompt done")
def is_prompt_done(prompt_id):
if prompt_id in prompt_metadata and "done" in prompt_metadata[prompt_id]:
if prompt_metadata[prompt_id]["done"] == True:
return True
def is_prompt_done(prompt_id: str):
"""
Check if the prompt with the given ID is marked as done.
Args:
prompt_id (str): The ID of the prompt to check.
Returns:
bool: True if the prompt is marked as done, False otherwise.
"""
if prompt_id in prompt_metadata and prompt_metadata[prompt_id].done is True:
return True
return False
@@ -558,17 +883,17 @@ async def handle_error(prompt_id, data, e: Exception):
print(f"Error occurred while uploading file: {e}")
# Mark the current prompt requires upload, and block it from being marked as success
async def update_file_status(prompt_id, data, uploading, have_error=False, node_id=None):
if 'uploading_nodes' not in prompt_metadata[prompt_id]:
prompt_metadata[prompt_id]['uploading_nodes'] = set()
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()
if node_id is not None:
if uploading:
prompt_metadata[prompt_id]['uploading_nodes'].add(node_id)
prompt_metadata[prompt_id].uploading_nodes.add(node_id)
else:
prompt_metadata[prompt_id]['uploading_nodes'].discard(node_id)
prompt_metadata[prompt_id].uploading_nodes.discard(node_id)
print(prompt_metadata[prompt_id]['uploading_nodes'])
print(prompt_metadata[prompt_id].uploading_nodes)
# Update the remote status
if have_error:
@@ -580,7 +905,7 @@ async def update_file_status(prompt_id, data, uploading, have_error=False, node_
# 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:
if prompt_metadata[prompt_id].status != Status.UPLOADING:
update_run(prompt_id, Status.UPLOADING)
await send("uploading", {
"prompt_id": prompt_id,
@@ -594,9 +919,12 @@ async def update_file_status(prompt_id, data, uploading, have_error=False, node_
"prompt_id": prompt_id,
})
async def handle_upload(prompt_id, data, key, content_type_key, default_content_type):
async def handle_upload(prompt_id: str, data, key: str, content_type_key: str, default_content_type: str):
items = data.get(key, [])
for item in items:
# # Skipping temp files
if item.get("type") == "temp":
continue
await upload_file(
prompt_id,
item.get("filename"),
@@ -605,9 +933,8 @@ async def handle_upload(prompt_id, data, key, content_type_key, default_content_
content_type=item.get(content_type_key, default_content_type)
)
# Upload files in the background
async def upload_in_background(prompt_id, data, node_id=None, have_upload=True):
async def upload_in_background(prompt_id: str, data, node_id=None, have_upload=True):
try:
await handle_upload(prompt_id, data, 'images', "content_type", "image/png")
await handle_upload(prompt_id, data, 'files', "content_type", "image/png")
@@ -620,32 +947,37 @@ async def upload_in_background(prompt_id, data, node_id=None, have_upload=True):
await handle_error(prompt_id, data, e)
async def update_run_with_output(prompt_id, data, node_id=None):
if prompt_id in prompt_metadata:
status_endpoint = prompt_metadata[prompt_id]['status_endpoint']
if prompt_id not in prompt_metadata:
return
body = {
"run_id": prompt_id,
"output_data": data
}
if prompt_metadata[prompt_id].is_realtime is True:
return
try:
have_upload = 'images' in data or 'files' in data or 'gifs' in data
print("\nhave_upload", have_upload, node_id)
status_endpoint = prompt_metadata[prompt_id].status_endpoint
if have_upload:
await update_file_status(prompt_id, data, True, node_id=node_id)
body = {
"run_id": prompt_id,
"output_data": data
}
asyncio.create_task(upload_in_background(prompt_id, data, node_id=node_id, have_upload=have_upload))
try:
have_upload = 'images' in data or 'files' in data or 'gifs' in data
print("\nhave_upload", have_upload, node_id)
except Exception as e:
await handle_error(prompt_id, data, e)
if have_upload:
await update_file_status(prompt_id, data, True, node_id=node_id)
asyncio.create_task(upload_in_background(prompt_id, data, node_id=node_id, have_upload=have_upload))
except Exception as e:
await handle_error(prompt_id, data, e)
requests.post(status_endpoint, json=body)
requests.post(status_endpoint, json=body)
await send('outputs_uploaded', {
"prompt_id": prompt_id
})
await send('outputs_uploaded', {
"prompt_id": prompt_id
})
prompt_server.send_json_original = prompt_server.send_json
prompt_server.send_json = send_json_override.__get__(prompt_server, server.PromptServer)
+115
View File
@@ -0,0 +1,115 @@
import struct
from enum import Enum
import aiohttp
from typing import List, Union, Any, Optional
from PIL import Image, ImageOps
from io import BytesIO
from pydantic import BaseModel as PydanticBaseModel
class BaseModel(PydanticBaseModel):
class Config:
arbitrary_types_allowed = True
class Status(Enum):
NOT_STARTED = "not-started"
RUNNING = "running"
SUCCESS = "success"
FAILED = "failed"
UPLOADING = "uploading"
class StreamingPrompt(BaseModel):
workflow_api: Any
auth_token: str
inputs: dict[str, Union[str, bytes, Image.Image]]
running_prompt_ids: set[str] = set()
status_endpoint: str
file_upload_endpoint: str
class SimplePrompt(BaseModel):
status_endpoint: str
file_upload_endpoint: str
workflow_api: dict
status: Status = Status.NOT_STARTED
progress: set = set()
last_updated_node: Optional[str] = None,
uploading_nodes: set = set()
done: bool = False
is_realtime: bool = False,
start_time: Optional[float] = None,
sockets = dict()
prompt_metadata: dict[str, SimplePrompt] = {}
streaming_prompt_metadata: dict[str, StreamingPrompt] = {}
class BinaryEventTypes:
PREVIEW_IMAGE = 1
UNENCODED_PREVIEW_IMAGE = 2
max_output_id_length = 24
async def send_image(image_data, sid=None, output_id:str = None):
max_length = max_output_id_length
output_id = output_id[:max_length]
padded_output_id = output_id.ljust(max_length, '\x00')
encoded_output_id = padded_output_id.encode('ascii', 'replace')
image_type = image_data[0]
image = image_data[1]
max_size = image_data[2]
quality = image_data[3]
if max_size is not None:
if hasattr(Image, 'Resampling'):
resampling = Image.Resampling.BILINEAR
else:
resampling = Image.ANTIALIAS
image = ImageOps.contain(image, (max_size, max_size), resampling)
type_num = 1
if image_type == "JPEG":
type_num = 1
elif image_type == "PNG":
type_num = 2
elif image_type == "WEBP":
type_num = 3
bytesIO = BytesIO()
header = struct.pack(">I", type_num)
# 4 bytes for the type
bytesIO.write(header)
# 10 bytes for the output_id
position_before = bytesIO.tell()
bytesIO.write(encoded_output_id)
position_after = bytesIO.tell()
bytes_written = position_after - position_before
print(f"Bytes written: {bytes_written}")
image.save(bytesIO, format=image_type, quality=quality, compress_level=1)
preview_bytes = bytesIO.getvalue()
await send_bytes(BinaryEventTypes.PREVIEW_IMAGE, preview_bytes, sid=sid)
async def send_socket_catch_exception(function, message):
try:
await function(message)
except (aiohttp.ClientError, aiohttp.ClientPayloadError, ConnectionResetError) as err:
print("send error:", err)
def encode_bytes(event, data):
if not isinstance(event, int):
raise RuntimeError(f"Binary event types must be integers, got {event}")
packed = struct.pack(">I", event)
message = bytearray(packed)
message.extend(data)
return message
async def send_bytes(event, data, sid=None):
message = encode_bytes(event, data)
print("sending image to ", event, sid)
if sid is None:
_sockets = list(sockets.values())
for ws in _sockets:
await send_socket_catch_exception(ws.send_bytes, message)
elif sid in sockets:
await send_socket_catch_exception(sockets[sid].send_bytes, message)
+6
View File
@@ -58,6 +58,9 @@ if cd_enable_log:
print("** Comfy Deploy logging enabled")
setup()
# Store the original working directory
original_cwd = os.getcwd()
try:
# Get the absolute path of the script's directory
script_dir = os.path.dirname(os.path.abspath(__file__))
@@ -67,3 +70,6 @@ try:
print(f"** Comfy Deploy Revision: {current_git_commit}")
except Exception as e:
print(f"** Comfy Deploy failed to get current git commit: {str(e)}")
finally:
# Change back to the original directory
os.chdir(original_cwd)
+2
View File
@@ -0,0 +1,2 @@
aiofiles
pydantic
+359 -220
View File
@@ -1,7 +1,17 @@
import { app } from "./app.js";
import { api } from "./api.js";
import { ComfyWidgets, LGraphNode } from "./widgets.js";
import { generateDependencyGraph } from "https://esm.sh/[email protected].14";
import { generateDependencyGraph } from "https://esm.sh/[email protected].25";
const loadingIcon = `<svg xmlns="http://www.w3.org/2000/svg" width="32" height="32" viewBox="0 0 24 24"><g fill="none" stroke="#888888" stroke-linecap="round" stroke-width="2"><path stroke-dasharray="60" stroke-dashoffset="60" stroke-opacity=".3" d="M12 3C16.9706 3 21 7.02944 21 12C21 16.9706 16.9706 21 12 21C7.02944 21 3 16.9706 3 12C3 7.02944 7.02944 3 12 3Z"><animate fill="freeze" attributeName="stroke-dashoffset" dur="1.3s" values="60;0"/></path><path stroke-dasharray="15" stroke-dashoffset="15" d="M12 3C16.9706 3 21 7.02944 21 12"><animate fill="freeze" attributeName="stroke-dashoffset" dur="0.3s" values="15;0"/><animateTransform attributeName="transform" dur="1.5s" repeatCount="indefinite" type="rotate" values="0 12 12;360 12 12"/></path></g></svg>`;
function sendEventToCD(event, data) {
const message = {
type: event,
data: data,
};
window.parent.postMessage(JSON.stringify(message), "*");
}
/** @typedef {import('../../../web/types/comfy.js').ComfyExtension} ComfyExtension*/
/** @type {ComfyExtension} */
@@ -16,6 +26,11 @@ const ext = {
const auth_token = queryParams.get("auth_token");
const org_display = queryParams.get("org_display");
const origin = queryParams.get("origin");
const workspace_mode = queryParams.get("workspace_mode");
if (workspace_mode) {
document.querySelector(".comfy-menu").style.display = "none";
}
const data = getData();
let endpoint = data.endpoint;
@@ -57,8 +72,8 @@ const ext = {
return;
}
// Adding a delay to wait for the intial graph to load
await new Promise((resolve) => setTimeout(resolve, 2000));
// // Adding a delay to wait for the intial graph to load
// await new Promise((resolve) => setTimeout(resolve, 2000));
workflow?.nodes.forEach((x) => {
if (x?.type === "ComfyDeploy") {
@@ -150,9 +165,32 @@ const ext = {
async setup() {
// const graphCanvas = document.getElementById("graph-canvas");
window.addEventListener("message", (event) => {
if (!event.data.flow || Object.entries(event.data.flow).length <= 0)
return;
window.addEventListener("message", async (event) => {
try {
const message = JSON.parse(event.data);
if (message.type === "graph_load") {
const comfyUIWorkflow = message.data;
console.log("recieved: ", comfyUIWorkflow);
// Assuming there's a method to load the workflow data into the ComfyUI
// This part of the code would depend on how the ComfyUI expects to receive and process the workflow data
// For demonstration, let's assume there's a loadWorkflow method in the ComfyUI API
if (comfyUIWorkflow && app && app.loadGraphData) {
app.loadGraphData(comfyUIWorkflow);
}
} else if (message.type === "deploy") {
// deployWorkflow();
const prompt = await app.graphToPrompt();
sendEventToCD("cd_plugin_onDeployChanges", prompt);
} else if (message.type === "queue_prompt") {
const prompt = await app.graphToPrompt();
sendEventToCD("cd_plugin_onQueuePrompt", prompt);
}
} catch (error) {
// console.error("Error processing message:", error);
}
// if (!event.data.flow || Object.entries(event.data.flow).length <= 0)
// return;
// updateBlendshapesPrompts(event.data.flow);
});
@@ -165,6 +203,17 @@ const ext = {
// }
});
app.graph.onAfterChange = ((originalFunction) => async function () {
const prompt = await app.graphToPrompt();
sendEventToCD("cd_plugin_onAfterChange", prompt);
if (typeof originalFunction === "function") {
originalFunction.apply(this, arguments);
}
})(app.graph.onAfterChange);
sendEventToCD("cd_plugin_setup");
},
};
@@ -182,7 +231,7 @@ function showError(title, message) {
function createDynamicUIHtml(data) {
console.log(data);
let html =
'<div style="max-width: 1024px; margin: 14px auto; display: flex; flex-direction: column; gap: 24px;">';
'<div style="min-width: 600px; max-width: 1024px; margin: 14px auto; display: flex; flex-direction: column; gap: 24px;">';
const bgcolor = "var(--comfy-input-bg)";
const evenBg = "var(--border-color)";
const textColor = "var(--input-text)";
@@ -265,231 +314,301 @@ function createDynamicUIHtml(data) {
return html;
}
function addButton() {
const menu = document.querySelector(".comfy-menu");
async function deployWorkflow() {
const deploy = document.getElementById("deploy-button");
const deploy = document.createElement("button");
deploy.style.position = "relative";
deploy.style.display = "block";
deploy.innerHTML = "<div id='button-title'>Deploy</div>";
deploy.onclick = async () => {
/** @type {LGraph} */
const graph = app.graph;
/** @type {LGraph} */
const graph = app.graph;
let { endpoint, apiKey, displayName } = getData();
let { endpoint, apiKey, displayName } = getData();
if (!endpoint || !apiKey || apiKey === "" || endpoint === "") {
configDialog.show();
return;
}
if (!endpoint || !apiKey || apiKey === "" || endpoint === "") {
configDialog.show();
return;
}
const ok = await confirmDialog.confirm(
"Confirm deployment -> " + displayName,
`A new version will be deployed, are you conform? <br><br><input id="include-deps" type="checkbox" checked>Include dependence</input>`,
let deployMeta = graph.findNodesByType("ComfyDeploy");
if (deployMeta.length == 0) {
const text = await inputDialog.input(
"Create your deployment",
"Workflow name",
);
if (!ok) return;
if (!text) return;
console.log(text);
app.graph.beforeChange();
var node = LiteGraph.createNode("ComfyDeploy");
node.configure({
widgets_values: [text],
});
node.pos = [0, 0];
app.graph.add(node);
app.graph.afterChange();
deployMeta = [node];
}
const includeDeps = document.getElementById("include-deps").checked;
const deployMetaNode = deployMeta[0];
if (endpoint.endsWith("/")) {
endpoint = endpoint.slice(0, -1);
}
loadingDialog.showLoading("Generating snapshot", "Please wait...");
const workflow_name = deployMetaNode.widgets[0].value;
const workflow_id = deployMetaNode.widgets[1].value;
const snapshot = await fetch("/snapshot/get_current").then((x) => x.json());
// console.log(snapshot);
loadingDialog.close();
const ok = await confirmDialog.confirm(
`Confirm deployment`,
`
<div>
if (!snapshot) {
showError(
"Error when deploying",
"Unable to generate snapshot, please install ComfyUI Manager",
);
return;
}
A new version of <button style="font-size: 18px;">${workflow_name}</button> will be deployed, do you confirm?
<br><br>
const title = deploy.querySelector("#button-title");
<button style="font-size: 18px;">${displayName}</button>
<br>
<button style="font-size: 18px;">${endpoint}</button>
let deployMeta = graph.findNodesByType("ComfyDeploy");
<br><br>
<label>
<input id="include-deps" type="checkbox" checked>Include dependency</input>
</label>
<br>
<label>
<input id="reuse-hash" type="checkbox" checked>Reuse hash from last version</input>
</label>
</div>
`,
);
if (!ok) return;
if (deployMeta.length == 0) {
const text = await inputDialog.input(
"Create your deployment",
"Workflow name",
);
if (!text) return;
console.log(text);
app.graph.beforeChange();
var node = LiteGraph.createNode("ComfyDeploy");
node.configure({
widgets_values: [text],
});
node.pos = [0, 0];
app.graph.add(node);
app.graph.afterChange();
deployMeta = [node];
}
const includeDeps = document.getElementById("include-deps").checked;
const reuseHash = document.getElementById("reuse-hash").checked;
const deployMetaNode = deployMeta[0];
if (endpoint.endsWith("/")) {
endpoint = endpoint.slice(0, -1);
}
loadingDialog.showLoading("Generating snapshot");
const workflow_name = deployMetaNode.widgets[0].value;
const workflow_id = deployMetaNode.widgets[1].value;
const snapshot = await fetch("/snapshot/get_current").then((x) => x.json());
// console.log(snapshot);
loadingDialog.close();
const prompt = await app.graphToPrompt();
let deps = undefined;
if (!snapshot) {
showError(
"Error when deploying",
"Unable to generate snapshot, please install ComfyUI Manager",
);
return;
}
if (includeDeps) {
loadingDialog.showLoading("Fetching existing version", "Please wait...");
const title = deploy.querySelector("#button-title");
const existing_workflow = await fetch(
endpoint + "/api/workflow/" + workflow_id,
{
method: "GET",
headers: {
"Content-Type": "application/json",
Authorization: "Bearer " + apiKey,
},
},
)
.then((x) => x.json())
.catch(() => {
return {};
});
const prompt = await app.graphToPrompt();
let deps = undefined;
loadingDialog.close();
if (includeDeps) {
loadingDialog.showLoading("Fetching existing version");
loadingDialog.showLoading(
"Generating dependency graph",
"Please wait...",
);
deps = await generateDependencyGraph({
workflow_api: prompt.output,
snapshot: snapshot,
computeFileHash: async (file) => {
console.log(file);
loadingDialog.showLoading("Generating hash", file);
const hash = await fetch(
`/comfyui-deploy/get-file-hash?file_path=${encodeURIComponent(
file,
)}`,
).then((x) => x.json());
loadingDialog.showLoading("Generating hash", file);
console.log(hash);
return hash.file_hash;
},
handleFileUpload: async (file, hash, prevhash) => {
console.log("Uploading ", file);
loadingDialog.showLoading("Uploading file", file);
try {
const { download_url } = await fetch(
`/comfyui-deploy/upload-file`,
{
method: "POST",
body: JSON.stringify({
file_path: file,
token: apiKey,
url: endpoint + "/api/upload-url",
}),
},
)
.then((x) => x.json())
.catch(() => {
loadingDialog.close();
confirmDialog.confirm("Error", "Unable to upload file " + file);
});
loadingDialog.showLoading("Uploaded file", file);
console.log(download_url);
return download_url;
} catch (error) {
return undefined;
}
},
existingDependencies: existing_workflow.dependencies,
});
loadingDialog.close();
const depsOk = await confirmDialog.confirm(
"Check dependencies",
// JSON.stringify(deps, null, 2),
createDynamicUIHtml(deps),
);
if (!depsOk) return;
console.log(deps);
}
loadingDialog.showLoading("Deploying...");
title.innerText = "Deploying...";
title.style.color = "orange";
// console.log(prompt);
// TODO trim the ending / from endpoint is there is
if (endpoint.endsWith("/")) {
endpoint = endpoint.slice(0, -1);
}
// console.log(prompt.workflow);
const apiRoute = endpoint + "/api/workflow";
// const userId = apiKey
try {
const body = {
workflow_name,
workflow_id,
workflow: prompt.workflow,
workflow_api: prompt.output,
snapshot: snapshot,
dependencies: deps,
};
console.log(body);
let data = await fetch(apiRoute, {
method: "POST",
body: JSON.stringify(body),
const existing_workflow = await fetch(
endpoint + "/api/workflow/" + workflow_id,
{
method: "GET",
headers: {
"Content-Type": "application/json",
Authorization: "Bearer " + apiKey,
},
},
)
.then((x) => x.json())
.catch(() => {
return {};
});
console.log(data);
loadingDialog.close();
if (data.status !== 200) {
throw new Error(await data.text());
} else {
data = await data.json();
}
loadingDialog.showLoading("Generating dependency graph");
deps = await generateDependencyGraph({
workflow_api: prompt.output,
snapshot: snapshot,
computeFileHash: async (file) => {
console.log(existing_workflow?.dependencies?.models);
loadingDialog.close();
// Match previous hash for models
if (reuseHash && existing_workflow?.dependencies?.models) {
const previousModelHash = Object.entries(
existing_workflow?.dependencies?.models,
).flatMap(([key, value]) => {
return Object.values(value).map((x) => ({
...x,
name: "models/" + key + "/" + x.name,
}));
});
console.log(previousModelHash);
title.textContent = "Done";
title.style.color = "green";
const match = previousModelHash.find((x) => {
console.log(file, x.name);
return file == x.name;
});
console.log(match);
if (match && match.hash) {
console.log("cached hash used");
return match.hash;
}
}
console.log(file);
loadingDialog.showLoading("Generating hash", file);
const hash = await fetch(
`/comfyui-deploy/get-file-hash?file_path=${encodeURIComponent(
file,
)}`,
).then((x) => x.json());
loadingDialog.showLoading("Generating hash", file);
console.log(hash);
return hash.file_hash;
},
handleFileUpload: async (file, hash, prevhash) => {
console.log("Uploading ", file);
loadingDialog.showLoading("Uploading file", file);
try {
const { download_url } = await fetch(
`/comfyui-deploy/upload-file`,
{
method: "POST",
body: JSON.stringify({
file_path: file,
token: apiKey,
url: endpoint + "/api/upload-url",
}),
},
)
.then((x) => x.json())
.catch(() => {
loadingDialog.close();
confirmDialog.confirm("Error", "Unable to upload file " + file);
});
loadingDialog.showLoading("Uploaded file", file);
console.log(download_url);
return download_url;
} catch (error) {
return undefined;
}
},
existingDependencies: existing_workflow.dependencies,
});
deployMetaNode.widgets[1].value = data.workflow_id;
deployMetaNode.widgets[2].value = data.version;
graph.change();
// Need to find a way to include this if this is not included in comfyui-json level
if (
!deps.custom_nodes["https://github.com/BennyKok/comfyui-deploy"] &&
!deps.custom_nodes["https://github.com/BennyKok/comfyui-deploy.git"]
)
deps.custom_nodes["https://github.com/BennyKok/comfyui-deploy"] = {
url: "https://github.com/BennyKok/comfyui-deploy",
install_type: "git-clone",
hash:
snapshot?.git_custom_nodes?.[
"https://github.com/BennyKok/comfyui-deploy"
]?.hash ?? "HEAD",
name: "ComfyUI Deploy",
};
infoDialog.show(
`<span style="color:green;">Deployed successfully!</span> <a style="color:white;" target="_blank" href=${endpoint}/workflows/${data.workflow_id}>-> View here</a> <br/> <br/> Workflow ID: ${data.workflow_id} <br/> Workflow Name: ${workflow_name} <br/> Workflow Version: ${data.version} <br/>`,
);
loadingDialog.close();
setTimeout(() => {
title.textContent = "Deploy";
title.style.color = "white";
}, 1000);
} catch (e) {
loadingDialog.close();
app.ui.dialog.show(e);
console.error(e);
title.textContent = "Error";
title.style.color = "red";
setTimeout(() => {
title.textContent = "Deploy";
title.style.color = "white";
}, 1000);
const depsOk = await confirmDialog.confirm(
"Check dependencies",
// JSON.stringify(deps, null, 2),
`
<div style="position: absolute; top: 50%; left: 50%; transform: translate(-50%, -50%);">${loadingIcon}</div>
<iframe
style="z-index: 10; min-width: 600px; max-width: 1024px; min-height: 600px; border: none; background-color: transparent;"
src="https://www.comfydeploy.com/dependency-graph?deps=${encodeURIComponent(
JSON.stringify(deps),
)}" />`,
// createDynamicUIHtml(deps),
);
if (!depsOk) return;
console.log(deps);
}
loadingDialog.showLoading("Deploying...");
title.innerText = "Deploying...";
title.style.color = "orange";
// console.log(prompt);
// TODO trim the ending / from endpoint is there is
if (endpoint.endsWith("/")) {
endpoint = endpoint.slice(0, -1);
}
// console.log(prompt.workflow);
const apiRoute = endpoint + "/api/workflow";
// const userId = apiKey
try {
const body = {
workflow_name,
workflow_id,
workflow: prompt.workflow,
workflow_api: prompt.output,
snapshot: snapshot,
dependencies: deps,
};
console.log(body);
let data = await fetch(apiRoute, {
method: "POST",
body: JSON.stringify(body),
headers: {
"Content-Type": "application/json",
Authorization: "Bearer " + apiKey,
},
});
console.log(data);
if (data.status !== 200) {
throw new Error(await data.text());
} else {
data = await data.json();
}
loadingDialog.close();
title.textContent = "Done";
title.style.color = "green";
deployMetaNode.widgets[1].value = data.workflow_id;
deployMetaNode.widgets[2].value = data.version;
graph.change();
infoDialog.show(
`<span style="color:green;">Deployed successfully!</span> <a style="color:white;" target="_blank" href=${endpoint}/workflows/${data.workflow_id}>-> View here</a> <br/> <br/> Workflow ID: ${data.workflow_id} <br/> Workflow Name: ${workflow_name} <br/> Workflow Version: ${data.version} <br/>`,
);
setTimeout(() => {
title.textContent = "Deploy";
title.style.color = "white";
}, 1000);
} catch (e) {
loadingDialog.close();
app.ui.dialog.show(e);
console.error(e);
title.textContent = "Error";
title.style.color = "red";
setTimeout(() => {
title.textContent = "Deploy";
title.style.color = "white";
}, 1000);
}
}
function addButton() {
const menu = document.querySelector(".comfy-menu");
const deploy = document.createElement("button");
deploy.id = "deploy-button";
deploy.style.position = "relative";
deploy.style.display = "block";
deploy.innerHTML = "<div id='button-title'>Deploy</div>";
deploy.onclick = async () => {
await deployWorkflow()
};
const config = document.createElement("img");
@@ -566,12 +685,10 @@ export class InfoDialog extends ComfyDialog {
`);
}
loadingIcon = `<svg xmlns="http://www.w3.org/2000/svg" width="32" height="32" viewBox="0 0 24 24"><g fill="none" stroke="#888888" stroke-linecap="round" stroke-width="2"><path stroke-dasharray="60" stroke-dashoffset="60" stroke-opacity=".3" d="M12 3C16.9706 3 21 7.02944 21 12C21 16.9706 16.9706 21 12 21C7.02944 21 3 16.9706 3 12C3 7.02944 7.02944 3 12 3Z"><animate fill="freeze" attributeName="stroke-dashoffset" dur="1.3s" values="60;0"/></path><path stroke-dasharray="15" stroke-dashoffset="15" d="M12 3C16.9706 3 21 7.02944 21 12"><animate fill="freeze" attributeName="stroke-dashoffset" dur="0.3s" values="15;0"/><animateTransform attributeName="transform" dur="1.5s" repeatCount="indefinite" type="rotate" values="0 12 12;360 12 12"/></path></g></svg>`;
showLoading(title, message) {
this.show(`
<div style="width: 400px; display: flex; gap: 18px; flex-direction: column; overflow: unset">
<h3 style="margin: 0px; display: flex; align-items: center; justify-content: center;">${title} ${this.loadingIcon}</h3>
<h3 style="margin: 0px; display: flex; align-items: center; justify-content: center;">${title} ${loadingIcon}</h3>
<label>
${message}
</label>
@@ -616,7 +733,11 @@ export class LoadingDialog extends ComfyDialog {
<h3 style="margin: 0px; display: flex; align-items: center; justify-content: center; gap: 12px;">${title} ${
this.loadingIcon
}</h3>
${message ? `<label>${message}</label>` : ""}
${
message
? `<label style="max-width: 100%; white-space: pre-wrap; word-wrap: break-word;">${message}</label>`
: ""
}
</div>
`);
}
@@ -735,11 +856,9 @@ export class ConfirmDialog extends InfoDialog {
return new Promise((resolve, reject) => {
this.callback = resolve;
this.show(`
<div style="width: 100%; max-width: 600px; display: flex; gap: 18px; flex-direction: column; overflow: unset">
<div style="width: 100%; max-width: 600px; display: flex; gap: 18px; flex-direction: column; overflow: unset; position: relative;">
<h3 style="margin: 0px;">${title}</h3>
<label>
${message}
</label>
${message}
</div>
`);
});
@@ -815,7 +934,10 @@ export class ConfigDialog extends ComfyDialog {
justifyContent: "flex-end",
width: "100%",
},
onclick: () => this.save(),
onclick: () => {
this.save();
this.close();
},
},
[
$el("button", {
@@ -826,7 +948,10 @@ export class ConfigDialog extends ComfyDialog {
$el("button", {
type: "button",
textContent: "Save",
onclick: () => this.save(),
onclick: () => {
this.save();
this.close();
},
}),
],
),
@@ -840,20 +965,26 @@ export class ConfigDialog extends ComfyDialog {
}
save(api_key, displayName) {
if (!displayName) displayName = getData().displayName;
const deployOption = this.container.querySelector("#deployOption").value;
localStorage.setItem("comfy_deploy_env", deployOption);
const endpoint = this.container.querySelector("#endpoint").value;
const apiKey = api_key ?? this.container.querySelector("#apiKey").value;
if (!displayName) {
if (apiKey != getData().apiKey) {
displayName = "Custom";
} else {
displayName = getData().displayName;
}
}
saveData({
endpoint,
apiKey,
displayName,
environment: deployOption,
});
this.close();
}
show() {
@@ -876,8 +1007,10 @@ export class ConfigDialog extends ComfyDialog {
data.endpoint
}">
</label>
<label style="color: white;">
API Key: ${data.displayName ?? ""}
<div style="color: white;">
API Key: User / Org <button style="font-size: 18px;">${
data.displayName ?? ""
}</button>
<input id="apiKey" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;" type="password" value="${
data.apiKey
}">
@@ -886,12 +1019,15 @@ export class ConfigDialog extends ComfyDialog {
data.apiKey ? "Re-login with ComfyDeploy" : "Login with ComfyDeploy"
}
</button>
</label>
</div>
</div>
`;
const button = this.container.querySelector("#loginButton");
button.onclick = () => {
this.save();
const data = getData();
const uuid =
Math.random().toString(36).substring(2, 15) +
Math.random().toString(36).substring(2, 15);
@@ -908,17 +1044,20 @@ export class ConfigDialog extends ComfyDialog {
this.poll = setInterval(() => {
fetch(data.endpoint + "/api/auth-response/" + uuid)
.then((response) => response.json())
.then((json) => {
.then(async (json) => {
if (json.api_key) {
this.save(json.api_key, json.name);
this.close();
this.container.querySelector("#apiKey").value = json.api_key;
infoDialog.show();
// infoDialog.show();
clearInterval(this.poll);
clearTimeout(this.timeout);
infoDialog.showMessage(
// Refresh dialog
const a = await confirmDialog.confirm(
"Authenticated",
"You will be able to upload workflow to " + json.name,
`<div>You will be able to upload workflow to <button style="font-size: 18px; width: fit;">${json.name}</button></div>`,
);
configDialog.show();
}
})
.catch((error) => {
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+29 -2
View File
@@ -48,12 +48,39 @@ const exampleWorkflows: exampleWorkflow[] = [
},
{
title: "Upscale and Add Detail SDXL",
description: "Upscale and Add Details to your creations",
description: "Upscale and Add Details to your creations.",
previewURL: 'https://www.comfydeploy.com/share/comfy-deploy-example-upscale-and-add-detail-sdxl',
image: {
src: '/example-workflows/upscale.webp',
alt: 'Upscale and Add Detail SDXL',
}
},
{
title: "Txt2Img SDXL Turbo",
description: "Try SDXL turbo and generate images since 1 step in seconds.",
previewURL: 'https://www.comfydeploy.com/share/comfy-deploy-example-txt2img-sdxl-turbo',
image: {
src: '/example-workflows/txt2img-sdxl-turbo.webp',
alt: 'Txt2Img SDXL Turbo',
}
},
{
title: "Img2Img SDXL Controlnet",
description: "This workflow uses canny. Generate lines of you original image and create variations.",
previewURL: 'https://www.comfydeploy.com/share/comfy-deploy-example-img2-img-sdxl-controlnet',
image: {
src: '/example-workflows/txt2img-controlnet.webp',
alt: 'Img2Img SDXL Controlnet',
}
},
{
title: "Automatic Inpainting (SEG)",
description: "Type what do you want to select and change that area with your prompt.",
previewURL: 'https://www.comfydeploy.com/share/comfy-deploy-example-automatic-inpainting-clip-seg',
image: {
src: '/example-workflows/automatic-inpainting-seg.webp',
alt: 'Img2Img SDXL Controlnet',
}
}
];
@@ -67,7 +94,7 @@ async function Examples() {
</h1>
<p className="max-w-[560px] text-center text-lg text-muted-foreground">Text to Image, Image to Image, IPAdapter, and more. Here are some examples that you can use to deploy your workflow.</p>
</section>
<section className="flex justify-center flex-wrap gap-4">
<section className="flex justify-center flex-wrap gap-5">
{exampleWorkflows.map(workflow => {
return <Card className="w-[350px]">
<CardHeader>
+3 -1
View File
@@ -80,7 +80,9 @@
/* @apply rounded-lg p-2 overflow-x-scroll */
@apply p-2 max-w-full overflow-auto w-full
}
.vsc-controller{
position: absolute;
}
@layer base {
* {
@apply border-border;
+1 -7
View File
@@ -5,7 +5,6 @@ import { Tabs, TabsList, TabsTrigger } from "@/components/ui/tabs";
import { cn } from "@/lib/utils";
import Link from "next/link";
import { usePathname } from "next/navigation";
import { useRouter } from "next/navigation";
import { useEffect, useState } from "react";
import { useMediaQuery } from "usehooks-ts";
@@ -25,8 +24,6 @@ export function NavbarMenu({
const pathnames = usePathname();
const pathname = `/${pathnames.split("/")[1]}`;
const router = useRouter();
const pages = [
{
name: "Workflows",
@@ -59,11 +56,8 @@ export function NavbarMenu({
<TabsTrigger
key={page.name}
value={page.path}
onClick={() => {
router.push(page.path);
}}
>
{page.name}
<Link href={page.path}>{page.name}</Link>
</TabsTrigger>
))}
</TabsList>
+26 -25
View File
@@ -60,6 +60,7 @@ import { callServerPromise } from "./callServerPromise";
import fetcher from "./fetcher";
import { ButtonAction } from "@/components/ButtonActionLoader";
import { editWorkflowOnMachine } from "@/server/editWorkflowOnMachine";
import { VisualizeImagesGrid } from "@/components/VisualizeImagesGrid";
export function VersionSelect({
workflow,
@@ -169,19 +170,21 @@ export function useSelectedMachine(
}
type PublicRunStore = {
image: string;
image: {
url: string;
}[] | null;
loading: boolean;
runId: string;
status: string;
setImage: (image: string) => void;
setImage: (image: { url: string; }[]) => void;
setLoading: (loading: boolean) => void;
setRunId: (runId: string) => void;
setStatus: (status: string) => void;
};
export const publicRunStore = create<PublicRunStore>((set) => ({
image: "",
image: null,
loading: false,
runId: "",
status: "",
@@ -205,7 +208,10 @@ export function PublicRunOutputs(props: {
console.log(res?.status);
if (res) setStatus(res.status);
if (res && res.status === "success") {
setImage(res.outputs[0]?.data.images[0].url);
const imageURLs = res.outputs[0]?.data.images.map((item: { url: string; }) => {
return { url: item.url };
});
setImage(imageURLs);
setLoading(false);
clearInterval(interval);
}
@@ -214,30 +220,25 @@ export function PublicRunOutputs(props: {
return () => clearInterval(interval);
}, [runId]);
return (
<div className="border border-gray-200 w-full square h-[400px] rounded-lg relative">
{!loading && !image && props.preview && props.preview.length > 0 && (
<>
<img
className="w-full h-full object-contain"
src={props.preview[0]?.url}
alt="Generated image"
/>
</>
)}
{!loading && image && (
<img
className="w-full h-full object-contain"
src={image}
alt="Generated image"
/>
)}
{loading && (
if (loading) {
return (
<div className="border border-gray-200 w-full h-[400px] square rounded-lg relative p-4 ">
<div className="absolute top-0 left-0 w-full h-full flex items-center justify-center gap-2">
{status} <LoadingIcon />
</div>
<Skeleton className="w-full h-full" />
</div>
);
}
return (
<div className="border border-gray-200 w-full min-h-[400px] square rounded-lg relative p-4 ">
{!image && props.preview && props.preview.length > 0 &&
<VisualizeImagesGrid images={props.preview} />
}
{image && (
<VisualizeImagesGrid images={image} />
)}
{loading && <Skeleton className="w-full h-full" />}
</div>
);
}
@@ -328,7 +329,7 @@ export function RunWorkflowButton({
className="px-1"
>
<div className="flex justify-end">
<AutoFormSubmit>
<AutoFormSubmit disabled={isLoading}>
Run
{isLoading ? <LoadingIcon /> : <Play size={14} />}
</AutoFormSubmit>
@@ -0,0 +1,42 @@
type imagesType = {
url: string;
width?: number;
height?: number;
};
type VisualizeImagesGridProps = {
images: imagesType[];
layout?: 'justify-between' | 'justify-center' | 'justify-start' | 'justify-end';
};
export function VisualizeImagesGrid({ images, layout }: VisualizeImagesGridProps) {
return (
<div className={`flex gap-4 flex-wrap ${layout || 'justify-center'}`}>
<>
{images && images.length > 0 &&
images.map(item => {
if (!item) {
return;
}
if (item?.url.endsWith(".mp4") || item?.url.endsWith(".webm")) {
return (
<video key={item?.url} controls autoPlay className="rounded-xl" style={{ maxHeight: item.height || 370, maxWidth: item.width || "auto" }}>
<source src={item?.url} type="video/mp4" />
<source src={item?.url} type="video/webm" />
Your browser does not support the video tag.
</video>
);
}
return <img
key={item?.url}
className="object-contain overflow-hidden rounded-xl"
src={item?.url}
alt="Generated image"
style={{ maxHeight: item.height || 370, maxWidth: item.width || "auto" }}
/>;
})
}
</>
</div>
);
}
+4 -4
View File
@@ -90,12 +90,12 @@ export const createRun = withServerPromise(
Object.entries(workflow_api).forEach(([_, node]) => {
if (node.inputs["input_id"] === key) {
node.inputs["input_id"] = inputs[key];
// Fix for external text default value
if (node.class_type == "ComfyUIDeployExternalText") {
node.inputs["default_value"] = inputs[key];
}
}
// Fix for external text default value
if (node.class_type == "ComfyUIDeployExternalText") {
node.inputs["default_value"] = inputs[key];
}
});
}
}