update downloading code 2

files_cells/notebooks/en/downloading_en.ipynb

@@ -29,7 +29,6 @@
         "import subprocess\n",
         "from datetime import timedelta\n",
         "from subprocess import getoutput\n",
-        "from urllib.parse import unquote\n",
         "from IPython.utils import capture\n",
         "from IPython.display import clear_output\n",
         "\n",
@@ -339,7 +338,7 @@
         "}\n",
         "\n",
         "extension_repo = []\n",
-        "directories = [value for key, value in prefixes.items()] # for unpucking zip files\n",
+        "directories = (value for key, value in prefixes.items()) # for unpucking zip files\n",
         "!mkdir -p {\" \".join(directories)}\n",
         "\n",
         "hf_token = optional_huggingface_token if optional_huggingface_token else \"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\"\n",
@@ -348,7 +347,7 @@
         "''' Get Image Preview | CivitAi '''\n",
         "\n",
         "def get_data_from_api(model_id, api_key): # get model data\n",
-        "    base_url = f\"https://civitai.com/api/v1/model-versions/{model_id}?token={api_key}\"\n",
+        "    base_url = f\"https://civitai.com/api/v1/model-versions/{model_id}\" # model_id - contains not only ID but also params\n",
         "    headers = {\"Content-Type\": \"application/json\"}\n",
         "    try:\n",
         "        response = requests.get(base_url, headers=headers)\n",
@@ -358,10 +357,18 @@
         "        print(f\"An error occurred: {e}\")\n",
         "        return None\n",
         "\n",
-        "def extract_model_info(data):\n",
-        "    model_name = data['files'][0]['name'] # get original model file name\n",
-        "    image_url = data['images'][0]['url'] # get preview: first image\n",
-        "    return model_name, image_url\n",
+        "def extract_model_info(data, url):\n",
+        "    # Get 'Type, Name and imgURL' current model\n",
+        "    if 'type=' in url:\n",
+        "        model_type = data['files'][1]['type']\n",
+        "        model_name = data['files'][1]['name']\n",
+        "        image_url = data['images'][0]['url']\n",
+        "    else:\n",
+        "        model_type = data['model']['type']\n",
+        "        model_name = data['files'][0]['name']\n",
+        "        image_url = data['images'][0]['url']\n",
+        "\n",
+        "    return model_type, model_name, image_url\n",
         "\n",
         "def gen_preview_filename(model_name, image_url):\n",
         "    name = model_name.split('.')\n",
@@ -386,34 +393,37 @@
         "                extension_repo.append((url, file_name))\n",
         "\n",
         "def manual_download(url, dst_dir, file_name):\n",
-        "    header_option = f\"--header={user_header}\"\n",
-        "    basename = url.split(\"/\")[-1] if file_name is None else file_name\n",
         "    aria2_args = '--optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c'\n",
+        "    basename = url.split(\"/\")[-1] if file_name is None else file_name\n",
+        "    header_option = f\"--header={user_header}\"\n",
         "\n",
         "    # === CivitAi API ===\n",
+        "    supported_types = ('Checkpoint', 'TextualInversion', 'LORA') # for dl preview image\n",
         "    civitai_token = \"62c0c5956b2f9defbd844d754000180b\"\n",
+        "    image_file_name = None\n",
+        "    model_type = None\n",
+        "\n",
         "    if 'civitai' in url:\n",
-        "        clean_url = url # virgin url without token\n",
-        "        image_file_name = None # for PreviewDl\n",
-        "        model_id = url.split('/')[-1]\n",
         "        url = f\"{url}{'&' if '?' in url else '?'}token={civitai_token}\" # some authors are pussies and they need API token...\n",
+        "        model_id = url.split('/')[-1]\n",
+        "        clean_url = url.split('?')[-1]\n",
         "\n",
         "        data = get_data_from_api(model_id, civitai_token)\n",
         "        if data:\n",
-        "            model_name, image_url = extract_model_info(data)\n",
+        "            model_type, model_name, image_url = extract_model_info(data, url)\n",
         "            if model_name and image_url:\n",
         "                image_file_name = gen_preview_filename(model_name if not file_name else file_name, image_url)\n",
-        "                if dst_dir in [models_dir, embeddings_dir, loras_dir]: # filter\n",
+        "                if model_type in supported_types:\n",
         "                    with capture.capture_output() as cap: # clear shit\n",
         "                        !aria2c {aria2_args} -d {dst_dir} -o {image_file_name} {image_url}\n",
         "                    del cap\n",
-        "                file_name = file_name or model_name # assigns the original file name if not specified initially\n",
+        "            file_name = file_name or model_name # assigns the original file name if not specified initially\n",
         "\n",
         "    \"\"\" information output \"\"\"\n",
-        "    print(f\"\\n\\033[32m{'---'*45}\\n\\033[33mURL: \\033[34m{clean_url if 'civitai' in url else url}\\n\\033[33mSAVE DIR: \\033[34m{dst_dir}\\n\\033[33mFILE NAME: \\033[34m{file_name if not 'huggingface' in url else basename}\\033[0m\") # wrold's best print info\n",
         "    # print(url, dst_dir, file_name if not 'huggingface' in url else basename) # for my tests\n",
-        "    print(f\"\\033[32m[Preview DL]\\033[0m: {image_file_name}\") if 'civitai' in url and dst_dir in [models_dir, embeddings_dir, loras_dir] else None # PreviewDl: print file name\n",
-        "    print(\"\\033[31m[Data Info]\\033[0m: Failed to retrieve data from the API.\") if 'civitai' in url and not data else None # DATA: ERROR\n",
+        "    print(f\"\\n\\033[32m{'---'*45}\\n\\033[33mURL: \\033[34m{clean_url if 'civitai' in url else url}\\n\\033[33mSAVE DIR: \\033[34m{dst_dir}\\n\\033[33mFILE NAME: \\033[34m{file_name if not 'huggingface' in url else basename}\\033[0m\") # wrold's best print info\n",
+        "    print(f\"\\033[32m[Preview DL]\\033[0m: {image_file_name}\\n\") if 'civitai' in url and model_type in supported_types else None # PreviewDl: print file name\n",
+        "    print(\"\\033[31m[Data Info]\\033[0m: Failed to retrieve data from the API.\\n\") if 'civitai' in url and not data else None # DATA: ERROR\n",
         "    # ===================\n",
         "\n",
         "    # -- GDrive --\n",
@@ -553,8 +563,8 @@
         "            pass\n",
         "\n",
         "# url prefixing\n",
-        "urls = [Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url]\n",
-        "prefixed_urls = [f\"{prefix}:{url}\" for prefix, url in zip(prefixes.keys(), urls) if url for url in url.replace(',', '').split()]\n",
+        "urls = (Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url)\n",
+        "prefixed_urls = (f\"{prefix}:{url}\" for prefix, url in zip(prefixes.keys(), urls) if url for url in url.replace(',', '').split())\n",
         "url += \", \".join(prefixed_urls) + \", \" + file_urls\n",
         "\n",
         "if detailed_download == \"on\":\n",

files_cells/notebooks/ru/downloading_ru.ipynb

@@ -29,7 +29,6 @@
         "import subprocess\n",
         "from datetime import timedelta\n",
         "from subprocess import getoutput\n",
-        "from urllib.parse import unquote\n",
         "from IPython.utils import capture\n",
         "from IPython.display import clear_output\n",
         "\n",
@@ -339,7 +338,7 @@
         "}\n",
         "\n",
         "extension_repo = []\n",
-        "directories = [value for key, value in prefixes.items()] # for unpucking zip files\n",
+        "directories = (value for key, value in prefixes.items()) # for unpucking zip files\n",
         "!mkdir -p {\" \".join(directories)}\n",
         "\n",
         "hf_token = optional_huggingface_token if optional_huggingface_token else \"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\"\n",
@@ -348,7 +347,7 @@
         "''' Get Image Preview | CivitAi '''\n",
         "\n",
         "def get_data_from_api(model_id, api_key): # get model data\n",
-        "    base_url = f\"https://civitai.com/api/v1/model-versions/{model_id}?token={api_key}\"\n",
+        "    base_url = f\"https://civitai.com/api/v1/model-versions/{model_id}\" # model_id - contains not only ID but also params\n",
         "    headers = {\"Content-Type\": \"application/json\"}\n",
         "    try:\n",
         "        response = requests.get(base_url, headers=headers)\n",
@@ -358,10 +357,18 @@
         "        print(f\"An error occurred: {e}\")\n",
         "        return None\n",
         "\n",
-        "def extract_model_info(data):\n",
-        "    model_name = data['files'][0]['name'] # get original model file name\n",
-        "    image_url = data['images'][0]['url'] # get preview: first image\n",
-        "    return model_name, image_url\n",
+        "def extract_model_info(data, url):\n",
+        "    # Get 'Type, Name and imgURL' current model\n",
+        "    if 'type=' in url:\n",
+        "        model_type = data['files'][1]['type']\n",
+        "        model_name = data['files'][1]['name']\n",
+        "        image_url = data['images'][0]['url']\n",
+        "    else:\n",
+        "        model_type = data['model']['type']\n",
+        "        model_name = data['files'][0]['name']\n",
+        "        image_url = data['images'][0]['url']\n",
+        "\n",
+        "    return model_type, model_name, image_url\n",
         "\n",
         "def gen_preview_filename(model_name, image_url):\n",
         "    name = model_name.split('.')\n",
@@ -386,34 +393,37 @@
         "                extension_repo.append((url, file_name))\n",
         "\n",
         "def manual_download(url, dst_dir, file_name):\n",
-        "    header_option = f\"--header={user_header}\"\n",
-        "    basename = url.split(\"/\")[-1] if file_name is None else file_name\n",
         "    aria2_args = '--optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c'\n",
+        "    basename = url.split(\"/\")[-1] if file_name is None else file_name\n",
+        "    header_option = f\"--header={user_header}\"\n",
         "\n",
         "    # === CivitAi API ===\n",
+        "    supported_types = ('Checkpoint', 'TextualInversion', 'LORA') # for dl preview image\n",
         "    civitai_token = \"62c0c5956b2f9defbd844d754000180b\"\n",
+        "    image_file_name = None\n",
+        "    model_type = None\n",
+        "\n",
         "    if 'civitai' in url:\n",
-        "        clean_url = url # virgin url without token\n",
-        "        image_file_name = None # for PreviewDl\n",
-        "        model_id = url.split('/')[-1]\n",
         "        url = f\"{url}{'&' if '?' in url else '?'}token={civitai_token}\" # some authors are pussies and they need API token...\n",
+        "        model_id = url.split('/')[-1]\n",
+        "        clean_url = url.split('?')[-1]\n",
         "\n",
         "        data = get_data_from_api(model_id, civitai_token)\n",
         "        if data:\n",
-        "            model_name, image_url = extract_model_info(data)\n",
+        "            model_type, model_name, image_url = extract_model_info(data, url)\n",
         "            if model_name and image_url:\n",
         "                image_file_name = gen_preview_filename(model_name if not file_name else file_name, image_url)\n",
-        "                if dst_dir in [models_dir, embeddings_dir, loras_dir]: # filter\n",
+        "                if model_type in supported_types:\n",
         "                    with capture.capture_output() as cap: # clear shit\n",
         "                        !aria2c {aria2_args} -d {dst_dir} -o {image_file_name} {image_url}\n",
         "                    del cap\n",
-        "                file_name = file_name or model_name # assigns the original file name if not specified initially\n",
+        "            file_name = file_name or model_name # assigns the original file name if not specified initially\n",
         "\n",
         "    \"\"\" information output \"\"\"\n",
-        "    print(f\"\\n\\033[32m{'---'*45}\\n\\033[33mURL: \\033[34m{clean_url if 'civitai' in url else url}\\n\\033[33mSAVE DIR: \\033[34m{dst_dir}\\n\\033[33mFILE NAME: \\033[34m{file_name if not 'huggingface' in url else basename}\\033[0m\") # wrold's best print info\n",
         "    # print(url, dst_dir, file_name if not 'huggingface' in url else basename) # for my tests\n",
-        "    print(f\"\\033[32m[Preview DL]\\033[0m: {image_file_name}\") if 'civitai' in url and dst_dir in [models_dir, embeddings_dir, loras_dir] else None # PreviewDl: print file name\n",
-        "    print(\"\\033[31m[Data Info]\\033[0m: Failed to retrieve data from the API.\") if 'civitai' in url and not data else None # DATA: ERROR\n",
+        "    print(f\"\\n\\033[32m{'---'*45}\\n\\033[33mURL: \\033[34m{clean_url if 'civitai' in url else url}\\n\\033[33mSAVE DIR: \\033[34m{dst_dir}\\n\\033[33mFILE NAME: \\033[34m{file_name if not 'huggingface' in url else basename}\\033[0m\") # wrold's best print info\n",
+        "    print(f\"\\033[32m[Preview DL]\\033[0m: {image_file_name}\\n\") if 'civitai' in url and model_type in supported_types else None # PreviewDl: print file name\n",
+        "    print(\"\\033[31m[Data Info]\\033[0m: Failed to retrieve data from the API.\\n\") if 'civitai' in url and not data else None # DATA: ERROR\n",
         "    # ===================\n",
         "\n",
         "    # -- GDrive --\n",
@@ -553,8 +563,8 @@
         "            pass\n",
         "\n",
         "# url prefixing\n",
-        "urls = [Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url]\n",
-        "prefixed_urls = [f\"{prefix}:{url}\" for prefix, url in zip(prefixes.keys(), urls) if url for url in url.replace(',', '').split()]\n",
+        "urls = (Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url)\n",
+        "prefixed_urls = (f\"{prefix}:{url}\" for prefix, url in zip(prefixes.keys(), urls) if url for url in url.replace(',', '').split())\n",
         "url += \", \".join(prefixed_urls) + \", \" + file_urls\n",
         "\n",
         "if detailed_download == \"on\":\n",

files_cells/python/en/downloading_en.py

@@ -10,7 +10,6 @@ import requests
 import subprocess
 from datetime import timedelta
 from subprocess import getoutput
-from urllib.parse import unquote
 from IPython.utils import capture
 from IPython.display import clear_output
 
@@ -320,7 +319,7 @@ prefixes = {
 }
 
 extension_repo = []
-directories = [value for key, value in prefixes.items()] # for unpucking zip files
+directories = (value for key, value in prefixes.items()) # for unpucking zip files
 get_ipython().system('mkdir -p {" ".join(directories)}')
 
 hf_token = optional_huggingface_token if optional_huggingface_token else "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"
@@ -329,7 +328,7 @@ user_header = f"\"Authorization: Bearer {hf_token}\""
 ''' Get Image Preview | CivitAi '''
 
 def get_data_from_api(model_id, api_key): # get model data
-    base_url = f"https://civitai.com/api/v1/model-versions/{model_id}?token={api_key}"
+    base_url = f"https://civitai.com/api/v1/model-versions/{model_id}" # model_id - contains not only ID but also params
     headers = {"Content-Type": "application/json"}
     try:
         response = requests.get(base_url, headers=headers)
@@ -339,10 +338,18 @@ def get_data_from_api(model_id, api_key): # get model data
         print(f"An error occurred: {e}")
         return None
 
-def extract_model_info(data):
-    model_name = data['files'][0]['name'] # get original model file name
-    image_url = data['images'][0]['url'] # get preview: first image
-    return model_name, image_url
+def extract_model_info(data, url):
+    # Get 'Type, Name and imgURL' current model
+    if 'type=' in url:
+        model_type = data['files'][1]['type']
+        model_name = data['files'][1]['name']
+        image_url = data['images'][0]['url']
+    else:
+        model_type = data['model']['type']
+        model_name = data['files'][0]['name']
+        image_url = data['images'][0]['url']
+
+    return model_type, model_name, image_url
 
 def gen_preview_filename(model_name, image_url):
     name = model_name.split('.')
@@ -367,34 +374,37 @@ def handle_manual(url):
                 extension_repo.append((url, file_name))
 
 def manual_download(url, dst_dir, file_name):
-    header_option = f"--header={user_header}"
-    basename = url.split("/")[-1] if file_name is None else file_name
     aria2_args = '--optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c'
+    basename = url.split("/")[-1] if file_name is None else file_name
+    header_option = f"--header={user_header}"
 
     # === CivitAi API ===
+    supported_types = ('Checkpoint', 'TextualInversion', 'LORA') # for dl preview image
     civitai_token = "62c0c5956b2f9defbd844d754000180b"
+    image_file_name = None
+    model_type = None
+
     if 'civitai' in url:
-        clean_url = url # virgin url without token
-        image_file_name = None # for PreviewDl
-        model_id = url.split('/')[-1]
         url = f"{url}{'&' if '?' in url else '?'}token={civitai_token}" # some authors are pussies and they need API token...
+        model_id = url.split('/')[-1]
+        clean_url = url.split('?')[-1]
 
         data = get_data_from_api(model_id, civitai_token)
         if data:
-            model_name, image_url = extract_model_info(data)
+            model_type, model_name, image_url = extract_model_info(data, url)
             if model_name and image_url:
                 image_file_name = gen_preview_filename(model_name if not file_name else file_name, image_url)
-                if dst_dir in [models_dir, embeddings_dir, loras_dir]: # filter
+                if model_type in supported_types:
                     with capture.capture_output() as cap: # clear shit
                         get_ipython().system('aria2c {aria2_args} -d {dst_dir} -o {image_file_name} {image_url}')
                     del cap
-                file_name = file_name or model_name # assigns the original file name if not specified initially
+            file_name = file_name or model_name # assigns the original file name if not specified initially
 
     """ information output """
-    print(f"\n\033[32m{'---'*45}\n\033[33mURL: \033[34m{clean_url if 'civitai' in url else url}\n\033[33mSAVE DIR: \033[34m{dst_dir}\n\033[33mFILE NAME: \033[34m{file_name if not 'huggingface' in url else basename}\033[0m") # wrold's best print info
     # print(url, dst_dir, file_name if not 'huggingface' in url else basename) # for my tests
-    print(f"\033[32m[Preview DL]\033[0m: {image_file_name}") if 'civitai' in url and dst_dir in [models_dir, embeddings_dir, loras_dir] else None # PreviewDl: print file name
-    print("\033[31m[Data Info]\033[0m: Failed to retrieve data from the API.") if 'civitai' in url and not data else None # DATA: ERROR
+    print(f"\n\033[32m{'---'*45}\n\033[33mURL: \033[34m{clean_url if 'civitai' in url else url}\n\033[33mSAVE DIR: \033[34m{dst_dir}\n\033[33mFILE NAME: \033[34m{file_name if not 'huggingface' in url else basename}\033[0m") # wrold's best print info
+    print(f"\033[32m[Preview DL]\033[0m: {image_file_name}\n") if 'civitai' in url and model_type in supported_types else None # PreviewDl: print file name
+    print("\033[31m[Data Info]\033[0m: Failed to retrieve data from the API.\n") if 'civitai' in url and not data else None # DATA: ERROR
     # ===================
 
     # -- GDrive --
@@ -534,8 +544,8 @@ if custom_file_urls:
             pass
 
 # url prefixing
-urls = [Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url]
-prefixed_urls = [f"{prefix}:{url}" for prefix, url in zip(prefixes.keys(), urls) if url for url in url.replace(',', '').split()]
+urls = (Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url)
+prefixed_urls = (f"{prefix}:{url}" for prefix, url in zip(prefixes.keys(), urls) if url for url in url.replace(',', '').split())
 url += ", ".join(prefixed_urls) + ", " + file_urls
 
 if detailed_download == "on":

files_cells/python/ru/downloading_ru.py

@@ -10,7 +10,6 @@ import requests
 import subprocess
 from datetime import timedelta
 from subprocess import getoutput
-from urllib.parse import unquote
 from IPython.utils import capture
 from IPython.display import clear_output
 
@@ -320,7 +319,7 @@ prefixes = {
 }
 
 extension_repo = []
-directories = [value for key, value in prefixes.items()] # for unpucking zip files
+directories = (value for key, value in prefixes.items()) # for unpucking zip files
 get_ipython().system('mkdir -p {" ".join(directories)}')
 
 hf_token = optional_huggingface_token if optional_huggingface_token else "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"
@@ -329,7 +328,7 @@ user_header = f"\"Authorization: Bearer {hf_token}\""
 ''' Get Image Preview | CivitAi '''
 
 def get_data_from_api(model_id, api_key): # get model data
-    base_url = f"https://civitai.com/api/v1/model-versions/{model_id}?token={api_key}"
+    base_url = f"https://civitai.com/api/v1/model-versions/{model_id}" # model_id - contains not only ID but also params
     headers = {"Content-Type": "application/json"}
     try:
         response = requests.get(base_url, headers=headers)
@@ -339,10 +338,18 @@ def get_data_from_api(model_id, api_key): # get model data
         print(f"An error occurred: {e}")
         return None
 
-def extract_model_info(data):
-    model_name = data['files'][0]['name'] # get original model file name
-    image_url = data['images'][0]['url'] # get preview: first image
-    return model_name, image_url
+def extract_model_info(data, url):
+    # Get 'Type, Name and imgURL' current model
+    if 'type=' in url:
+        model_type = data['files'][1]['type']
+        model_name = data['files'][1]['name']
+        image_url = data['images'][0]['url']
+    else:
+        model_type = data['model']['type']
+        model_name = data['files'][0]['name']
+        image_url = data['images'][0]['url']
+
+    return model_type, model_name, image_url
 
 def gen_preview_filename(model_name, image_url):
     name = model_name.split('.')
@@ -367,34 +374,37 @@ def handle_manual(url):
                 extension_repo.append((url, file_name))
 
 def manual_download(url, dst_dir, file_name):
-    header_option = f"--header={user_header}"
-    basename = url.split("/")[-1] if file_name is None else file_name
     aria2_args = '--optimize-concurrent-downloads --console-log-level=error --summary-interval=10 -j5 -x16 -s16 -k1M -c'
+    basename = url.split("/")[-1] if file_name is None else file_name
+    header_option = f"--header={user_header}"
 
     # === CivitAi API ===
+    supported_types = ('Checkpoint', 'TextualInversion', 'LORA') # for dl preview image
     civitai_token = "62c0c5956b2f9defbd844d754000180b"
+    image_file_name = None
+    model_type = None
+
     if 'civitai' in url:
-        clean_url = url # virgin url without token
-        image_file_name = None # for PreviewDl
-        model_id = url.split('/')[-1]
         url = f"{url}{'&' if '?' in url else '?'}token={civitai_token}" # some authors are pussies and they need API token...
+        model_id = url.split('/')[-1]
+        clean_url = url.split('?')[-1]
 
         data = get_data_from_api(model_id, civitai_token)
         if data:
-            model_name, image_url = extract_model_info(data)
+            model_type, model_name, image_url = extract_model_info(data, url)
             if model_name and image_url:
                 image_file_name = gen_preview_filename(model_name if not file_name else file_name, image_url)
-                if dst_dir in [models_dir, embeddings_dir, loras_dir]: # filter
+                if model_type in supported_types:
                     with capture.capture_output() as cap: # clear shit
                         get_ipython().system('aria2c {aria2_args} -d {dst_dir} -o {image_file_name} {image_url}')
                     del cap
-                file_name = file_name or model_name # assigns the original file name if not specified initially
+            file_name = file_name or model_name # assigns the original file name if not specified initially
 
     """ information output """
-    print(f"\n\033[32m{'---'*45}\n\033[33mURL: \033[34m{clean_url if 'civitai' in url else url}\n\033[33mSAVE DIR: \033[34m{dst_dir}\n\033[33mFILE NAME: \033[34m{file_name if not 'huggingface' in url else basename}\033[0m") # wrold's best print info
     # print(url, dst_dir, file_name if not 'huggingface' in url else basename) # for my tests
-    print(f"\033[32m[Preview DL]\033[0m: {image_file_name}") if 'civitai' in url and dst_dir in [models_dir, embeddings_dir, loras_dir] else None # PreviewDl: print file name
-    print("\033[31m[Data Info]\033[0m: Failed to retrieve data from the API.") if 'civitai' in url and not data else None # DATA: ERROR
+    print(f"\n\033[32m{'---'*45}\n\033[33mURL: \033[34m{clean_url if 'civitai' in url else url}\n\033[33mSAVE DIR: \033[34m{dst_dir}\n\033[33mFILE NAME: \033[34m{file_name if not 'huggingface' in url else basename}\033[0m") # wrold's best print info
+    print(f"\033[32m[Preview DL]\033[0m: {image_file_name}\n") if 'civitai' in url and model_type in supported_types else None # PreviewDl: print file name
+    print("\033[31m[Data Info]\033[0m: Failed to retrieve data from the API.\n") if 'civitai' in url and not data else None # DATA: ERROR
     # ===================
 
     # -- GDrive --
@@ -534,8 +544,8 @@ if custom_file_urls:
             pass
 
 # url prefixing
-urls = [Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url]
-prefixed_urls = [f"{prefix}:{url}" for prefix, url in zip(prefixes.keys(), urls) if url for url in url.replace(',', '').split()]
+urls = (Model_url, Vae_url, LoRA_url, Embedding_url, Extensions_url)
+prefixed_urls = (f"{prefix}:{url}" for prefix, url in zip(prefixes.keys(), urls) if url for url in url.replace(',', '').split())
 url += ", ".join(prefixed_urls) + ", " + file_urls
 
 if detailed_download == "on":