Compare commits
2
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
b857b557f3 | ||
|
|
1666f78311 |
@@ -4,15 +4,12 @@ import numpy as np
|
||||
import torch
|
||||
import folder_paths
|
||||
|
||||
|
||||
class AnyType(str):
|
||||
def __ne__(self, __value: object) -> bool:
|
||||
return False
|
||||
|
||||
|
||||
|
||||
WILDCARD = AnyType("*")
|
||||
|
||||
|
||||
class ComfyUIDeployExternalLora:
|
||||
@classmethod
|
||||
def INPUT_TYPES(s):
|
||||
@@ -25,10 +22,6 @@ class ComfyUIDeployExternalLora:
|
||||
},
|
||||
"optional": {
|
||||
"default_lora_name": (folder_paths.get_filename_list("loras"),),
|
||||
"lora_save_name": ( # if `default_lora_name` is a link to download a file, we will attempt to save it with this name
|
||||
"STRING",
|
||||
{"multiline": False, "default": ""},
|
||||
),
|
||||
},
|
||||
}
|
||||
|
||||
@@ -39,24 +32,17 @@ class ComfyUIDeployExternalLora:
|
||||
|
||||
CATEGORY = "deploy"
|
||||
|
||||
def run(self, input_id, default_lora_name=None, lora_save_name=None):
|
||||
def run(self, input_id, default_lora_name=None):
|
||||
import requests
|
||||
import os
|
||||
import uuid
|
||||
|
||||
if default_lora_name.startswith("http"):
|
||||
if lora_save_name:
|
||||
existing_loras = folder_paths.get_filename_list("loras")
|
||||
# Check if lora_save_name exists in the list
|
||||
if lora_save_name in existing_loras:
|
||||
print(f"using lora: {lora_save_name}")
|
||||
return (lora_save_name,)
|
||||
else:
|
||||
lora_save_name = str(uuid.uuid4()) + ".safetensors"
|
||||
print(lora_save_name)
|
||||
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], lora_save_name
|
||||
folder_paths.folder_names_and_paths["loras"][0][0], unique_filename
|
||||
)
|
||||
print(destination_path)
|
||||
print("Downloading external lora - " + input_id + " to " + destination_path)
|
||||
@@ -67,7 +53,7 @@ class ComfyUIDeployExternalLora:
|
||||
)
|
||||
with open(destination_path, "wb") as out_file:
|
||||
out_file.write(response.content)
|
||||
return (lora_save_name,)
|
||||
return (unique_filename,)
|
||||
else:
|
||||
print(f"using lora: {default_lora_name}")
|
||||
return (default_lora_name,)
|
||||
|
||||
@@ -1,43 +0,0 @@
|
||||
import folder_paths
|
||||
from PIL import Image, ImageOps
|
||||
import numpy as np
|
||||
import torch
|
||||
import json
|
||||
|
||||
class ComfyUIDeployExternalTextList:
|
||||
@classmethod
|
||||
def INPUT_TYPES(s):
|
||||
return {
|
||||
"required": {
|
||||
"input_id": (
|
||||
"STRING",
|
||||
{"multiline": False, "default": 'input_text_list'},
|
||||
),
|
||||
"text": (
|
||||
"STRING",
|
||||
{"multiline": True, "default": "[]"},
|
||||
),
|
||||
}
|
||||
}
|
||||
|
||||
RETURN_TYPES = ("STRING",)
|
||||
RETURN_NAMES = ("text",)
|
||||
|
||||
OUTPUT_IS_LIST = (True,)
|
||||
|
||||
FUNCTION = "run"
|
||||
|
||||
CATEGORY = "text"
|
||||
|
||||
def run(self, input_id, text=None):
|
||||
text_list = []
|
||||
try:
|
||||
text_list = json.loads(text) # Assuming text is a JSON array string
|
||||
except Exception as e:
|
||||
print(f"Error processing images: {e}")
|
||||
pass
|
||||
return [text_list]
|
||||
|
||||
|
||||
NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalTextList": ComfyUIDeployExternalTextList}
|
||||
NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployExternalTextList": "External Text List (ComfyUI Deploy)"}
|
||||
+5
-6
@@ -108,8 +108,7 @@ def log_span(name):
|
||||
if use_logfire:
|
||||
with logger.span(name):
|
||||
yield
|
||||
else:
|
||||
yield
|
||||
# else:
|
||||
# logger.info(f"Start: {name}")
|
||||
# yield
|
||||
# logger.info(f"End: {name}")
|
||||
@@ -349,7 +348,7 @@ async def comfy_deploy_run(request):
|
||||
|
||||
status = 200
|
||||
|
||||
if "node_errors" in res and res["node_errors"] is not None:
|
||||
if "node_errors" in res and res["node_errors"]:
|
||||
# Even tho there are node_errors it can still be run
|
||||
status = 400
|
||||
await update_run_with_output(prompt_id, {
|
||||
@@ -387,7 +386,7 @@ async def stream_prompt(data):
|
||||
workflow_api=workflow_api
|
||||
)
|
||||
|
||||
# log('info', "Begin prompt", prompt=prompt)
|
||||
log('info', "Begin prompt", prompt=prompt)
|
||||
|
||||
try:
|
||||
res = post_prompt(prompt)
|
||||
@@ -410,7 +409,7 @@ async def stream_prompt(data):
|
||||
|
||||
status = 200
|
||||
|
||||
if "node_errors" in res and res["node_errors"] is not None:
|
||||
if "node_errors" in res and res["node_errors"]:
|
||||
# Even tho there are node_errors it can still be run
|
||||
status = 400
|
||||
await update_run_with_output(prompt_id, {
|
||||
@@ -454,7 +453,7 @@ async def stream_response(request):
|
||||
if not comfy_message_queues[prompt_id].empty():
|
||||
data = await comfy_message_queues[prompt_id].get()
|
||||
|
||||
# log('info', data["event"], data=json.dumps(data))
|
||||
log('info', data["event"], data=json.dumps(data))
|
||||
# logger.info("listener", data)
|
||||
await response.write(f"event: event_update\ndata: {json.dumps(data)}\n\n".encode('utf-8'))
|
||||
await response.drain() # Ensure the buffer is flushed
|
||||
|
||||
+927
-1062
File diff suppressed because it is too large
Load Diff
@@ -51,9 +51,7 @@ const createRunRoute = createRoute({
|
||||
export const registerCreateRunRoute = (app: App) => {
|
||||
app.openapi(createRunRoute, async (c) => {
|
||||
const data = c.req.valid("json");
|
||||
const proto = c.req.headers.get('x-forwarded-proto') || "http";
|
||||
const host = c.req.headers.get('x-forwarded-host') || c.req.headers.get('host');
|
||||
const origin = `${proto}://${host}` || new URL(c.req.url).origin;
|
||||
const origin = new URL(c.req.url).origin;
|
||||
const apiKeyTokenData = c.get("apiKeyTokenData")!;
|
||||
|
||||
const { deployment_id, inputs } = data;
|
||||
|
||||
Reference in New Issue
Block a user