error: Extension PIXIV_texture_basis is not available on this addon version how fix it? изображение_2024-09-10_161256617

I Download preview models (viewable in the browser) from VRoid Hub. Handles decryption and decompression (assist from bin). through script vroid-hub-downloader.py link of script https://github.com/CetaceanNation/misc-scripts/blob/main/vroid-hub-downloader/vroid-hub-downloader.py i wanna delete texture and make my texture for model

this is code of script:

!/usr/bin/env python3

import argparse from Crypto.Cipher import AES import gzip import io import json import os import re import requests import sys import zstandard

USER_AGENT = "Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/114.0" HOST = "https://hub.vroid.com/" API_VERSION = "11" MODEL_FILE_EXT = "glb" VROID_BASE = r"(?:https?://)?hub.vroid.com/(?P[a-z]{2}/)?" VROID_USER = VROID_BASE + r"users/(?P\d+)" VROID_MODEL = VROID_BASE + r"characters/(?P\d+)/models/(?P\d+)"

def unpad(s): return s[:-ord(s[len(s)-1:])]

def get_user_model_ids(user_id): model_ids = [] api_url = f"{HOST}/api/users/{user_id}/character_models?antisocial_or_hate_usage=&characterization_allowed_user=&corporate_commercial_use=&credit=&modification=&personal_commercial_use=&political_or_religious_usage=&redistribution=&sexual_expression=&violent_expression=" page_num = 1 while api_url: user_r = requests.get(api_url, headers={"User-Agent": USER_AGENT, "X-Api-Version": API_VERSION}) if not user_r.ok: print(f"[user:{user_id}:page:{page_num}] got bad response from vroid hub, {user_r.status_code}") break user_j = user_r.json() if "next" in user_j["_links"]: api_url = HOST + user_j["_links"]["next"]["href"] else: api_url = None for model in user_j["data"]: model_ids.append(model["id"]) print(f"[user:{user_id}] found {len(model_ids)} models") return model_ids

def download_preview_model(model_id): model_preview_url = f"{HOST}/api/character_models/{model_id}/optimized_preview" model_r = requests.get(model_preview_url, allow_redirects=True, headers={"User-Agent": USER_AGENT, "X-Api-Version": API_VERSION}) if not model_r.ok: print(f"[model:{model_id}:preview] got bad response from vroid hub, {model_r.status_code}") print(f"[model:{model_id}:preview] {model_r.content.decode()}") return None return io.BytesIO(model_r.content)

def decrypt_decompress_model(model_id, model_bytes, model_filename): if not os.path.isfile(model_filename): with open(model_filename, "wb") as dec_vrm: iv_bytes = model_bytes.read(16) key_bytes = model_bytes.read(32) key_context = AES.new(key_bytes, AES.MODE_CBC, iv_bytes) enc_data = model_bytes.read() dec_data = unpad(key_context.decrypt(enc_data))[4:] dctx = zstandard.ZstdDecompressor() with dctx.stream_writer(dec_vrm) as decompressor: decompressor.write(dec_data) print(f"[model:{model_id}] wrote decrypted and decompressed model '{os.path.basename(model_filename)}'") else: print(f"[model:{model_id}] '{os.path.basename(model_filename)}' already exists")

def download_model_from_vroid(model_id, subdir=None): model_path_base = os.path.join(subdir if subdir else args.directory, model_id) model_api_url = f"{HOST}/api/character_models/{model_id}" json_path = f"{model_path_base}.info.json" model_api_r = requests.get(model_api_url, headers={"User-Agent": USER_AGENT, "X-Api-Version": API_VERSION}) if not model_api_r.ok: print(f"[model:{model_id}:api] got bad response from vroid hub, {model_r.status_code}") return model_api_j = model_api_r.json()["data"] if args.write_info_json and not os.path.isfile(json_path): with open(json_path, "w") as json_file: json_file.write(json.dumps(model_api_j)) print(f"[model:{model_id}:api] wrote '{os.path.basename(json_path)}'") else: print(f"[model:{model_id}:api] '{os.path.basename(json_path)}' already exists") if not "conversion_state" in model_api_j["character_model"]["latest_character_model_version"]: print(f"[model:{model_id}:api] warning: JSON response implies model preview does not exist, expecting 404") elif model_api_j["character_model"]["latest_character_model_version"]["conversion_state"]["current_state"] != "completed": print(f"[model:{model_id}:api] warning: JSON response implies model preview is not ready, expecting 404") enc_vrm = download_preview_model(model_id) if not enc_vrm: return decrypt_decompress_model(model_id, enc_vrm, f"{model_path_base}.{MODEL_FILE_EXT}")

def download_user_from_vroid(user_id): user_api_url = f"{HOST}/api/users/{user_id}" user_api_r = requests.get(user_api_url, headers={"User-Agent": USER_AGENT, "X-Api-Version": API_VERSION}) if not user_api_r.ok: print(f"[user:{user_id}:api] got bad response from vroid hub, user might not exist, {user_api_r.status_code}") return user_api_j = user_api_r.json() username = user_api_j["data"]["user"]["name"] user_base_path = os.path.join(args.directory, f"{username} ({user_id})") if not os.path.isdir(user_base_path): os.makedirs(user_base_path) json_path = f"{user_base_path}.info.json" if args.write_info_json: with open(json_path, "w") as json_file: json_file.write(json.dumps(user_api_j["data"])) print(f"[user:{user_id}:api] wrote '{os.path.basename(json_path)}'") model_ids = get_user_model_ids(user_id) for model_id in model_ids: download_model_from_vroid(model_id, user_base_path)

parser = argparse.ArgumentParser(formatter_class=argparse.RawTextHelpFormatter) parser.add_argument("-d", "--directory", type=str, help="save directory (defaults to current)", default=os.getcwd()) parser.add_argument("--write-info-json", action="store_true", help="write user/model json information for urls") parser.add_argument("vrms", metavar="vroid links/vrm files", nargs="*", help="vroid hub links or encrypted vrm files i.e.\nhttps://hub.vroid.com/en/users/49620\nhttps://hub.vroid.com/en/characters/6819070713126783571/models/9038381612772945358\n2520951134072570694.vrm") args = parser.parse_args()

if not os.path.isdir(args.directory): os.makedirs(args.directory)

for vrm in args.vrms: vroid_usr_m = re.search(VROID_USER, vrm) model_m = re.search(VROID_MODEL, vrm) if vroid_usr_m: user_id = vroid_usr_m.group("user_id") download_user_from_vroid(user_id) elif model_m: model_id = model_m.group("model_id") download_model_from_vroid(model_id) else: if not os.path.isfile(vrm): print(f"could not find file at path '{vrm}'") continue with open(vrm, "rb") as vrm_file: enc_vrm = io.BytesIO(vrm_file.read()) model_filename = os.path.join(args.directory, f"{vrm}.decrypted.{MODEL_FILE_EXT}") decrypt_decompress_model(enc_vrm, model_filename)

KhronosGroup / glTF-Blender-IO

I cant import glb file into blender Error:Extension PIXIV_texture_basis is not available on this addon version #2348

!/usr/bin/env python3