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# -*- coding: UTF-8 -*-
# handle msg between js and python side
import os
import json
import requests
import webbrowser
from . import util
from . import model
from . import civitai
from . import msg_handler
from . import downloader
# get civitai's model url and open it in browser
# parameter: model_type, search_term
# output: python msg - will be sent to hidden textbox then picked by js side
def open_model_url(msg, open_url_with_js):
util.printD("Start open_model_url")
output = ""
result = msg_handler.parse_js_msg(msg)
if not result:
util.printD("Parsing js ms failed")
return
model_type = result["model_type"]
search_term = result["search_term"]
model_info = civitai.load_model_info_by_search_term(model_type, search_term)
if not model_info:
util.printD(f"Failed to get model info for {model_type} {search_term}")
return ""
if "modelId" not in model_info.keys():
util.printD(f"Failed to get model id from info file for {model_type} {search_term}")
return ""
model_id = model_info["modelId"]
if not model_id:
util.printD(f"model id from info file of {model_type} {search_term} is None")
return ""
url = civitai.url_dict["modelPage"]+str(model_id)
# msg content for js
content = {
"url":""
}
if not open_url_with_js:
util.printD("Open Url: " + url)
# open url
webbrowser.open_new_tab(url)
else:
util.printD("Send Url to js")
content["url"] = url
output = msg_handler.build_py_msg("open_url", content)
util.printD("End open_model_url")
return output
# add trigger words to prompt
# parameter: model_type, search_term, prompt
# return: [new_prompt, new_prompt] - new prompt with trigger words, return twice for txt2img and img2img
def add_trigger_words(msg):
util.printD("Start add_trigger_words")
result = msg_handler.parse_js_msg(msg)
if not result:
util.printD("Parsing js ms failed")
return
model_type = result["model_type"]
search_term = result["search_term"]
prompt = result["prompt"]
model_info = civitai.load_model_info_by_search_term(model_type, search_term)
if not model_info:
util.printD(f"Failed to get model info for {model_type} {search_term}")
return [prompt, prompt]
if "trainedWords" not in model_info.keys():
util.printD(f"Failed to get trainedWords from info file for {model_type} {search_term}")
return [prompt, prompt]
trainedWords = model_info["trainedWords"]
if not trainedWords:
util.printD(f"No trainedWords from info file for {model_type} {search_term}")
return [prompt, prompt]
if len(trainedWords) == 0:
util.printD(f"trainedWords from info file for {model_type} {search_term} is empty")
return [prompt, prompt]
# get ful trigger words
trigger_words = ""
for word in trainedWords:
trigger_words = trigger_words + word + ", "
new_prompt = prompt + " " + trigger_words
util.printD("trigger_words: " + trigger_words)
util.printD("prompt: " + prompt)
util.printD("new_prompt: " + new_prompt)
util.printD("End add_trigger_words")
# add to prompt
return [new_prompt, new_prompt]
# use preview image's prompt as prompt
# parameter: model_type, model_name, prompt, neg_prompt
# return: [new_prompt, new_neg_prompt, new_prompt, new_neg_prompt,] - return twice for txt2img and img2img
def use_preview_image_prompt(msg):
util.printD("Start use_preview_image_prompt")
result = msg_handler.parse_js_msg(msg)
if not result:
util.printD("Parsing js ms failed")
return
model_type = result["model_type"]
search_term = result["search_term"]
prompt = result["prompt"]
neg_prompt = result["neg_prompt"]
model_info = civitai.load_model_info_by_search_term(model_type, search_term)
if not model_info:
util.printD(f"Failed to get model info for {model_type} {search_term}")
return [prompt, neg_prompt, prompt, neg_prompt]
if "images" not in model_info.keys():
util.printD(f"Failed to get images from info file for {model_type} {search_term}")
return [prompt, neg_prompt, prompt, neg_prompt]
images = model_info["images"]
if not images:
util.printD(f"No images from info file for {model_type} {search_term}")
return [prompt, neg_prompt, prompt, neg_prompt]
if len(images) == 0:
util.printD(f"images from info file for {model_type} {search_term} is empty")
return [prompt, neg_prompt, prompt, neg_prompt]
# get prompt from preview images' meta data
preview_prompt = ""
preview_neg_prompt = ""
for img in images:
if "meta" in img.keys():
if img["meta"]:
if "prompt" in img["meta"].keys():
if img["meta"]["prompt"]:
preview_prompt = img["meta"]["prompt"]
if "negativePrompt" in img["meta"].keys():
if img["meta"]["negativePrompt"]:
preview_neg_prompt = img["meta"]["negativePrompt"]
# we only need 1 prompt
if preview_prompt:
break
if not preview_prompt:
util.printD(f"There is no prompt of {model_type} {search_term} in its preview image")
return [prompt, neg_prompt, prompt, neg_prompt]
util.printD("End use_preview_image_prompt")
return [preview_prompt, preview_neg_prompt, preview_prompt, preview_neg_prompt]
# download model's new verson by model path, version id and download url
# output is a md log
def dl_model_new_version(msg, max_size_preview, skip_nsfw_preview):
util.printD("Start dl_model_new_version")
output = ""
result = msg_handler.parse_js_msg(msg)
if not result:
output = "Parsing js ms failed"
util.printD(output)
return output
model_path = result["model_path"]
version_id = result["version_id"]
download_url = result["download_url"]
util.printD("model_path: " + model_path)
util.printD("version_id: " + str(version_id))
util.printD("download_url: " + download_url)
# check data
if not model_path:
output = "model_path is empty"
util.printD(output)
return output
if not version_id:
output = "version_id is empty"
util.printD(output)
return output
if not download_url:
output = "download_url is empty"
util.printD(output)
return output
if not os.path.isfile(model_path):
output = "model_path is not a file: "+ model_path
util.printD(output)
return output
# get model folder from model path
model_folder = os.path.dirname(model_path)
# no need to check when downloading new version, since checking new version is already checked
# check if this model is already existed
# r = civitai.search_local_model_info_by_version_id(model_folder, version_id)
# if r:
# output = "This model version is already existed"
# util.printD(output)
# return output
# download file
new_model_path = downloader.dl(download_url, model_folder, None, None)
if not new_model_path:
output = "Download failed, check console log for detail. Download url: " + download_url
util.printD(output)
return output
# get version info
version_info = civitai.get_version_info_by_version_id(version_id)
if not version_info:
output = "Model downloaded, but failed to get version info, check console log for detail. Model saved to: " + new_model_path
util.printD(output)
return output
# now write version info to file
base, ext = os.path.splitext(new_model_path)
info_file = base + civitai.suffix + model.info_ext
model.write_model_info(info_file, version_info)
# then, get preview image
civitai.get_preview_image_by_model_path(new_model_path, max_size_preview, skip_nsfw_preview)
output = "Done. Model downloaded to: " + new_model_path
util.printD(output)
return output
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