{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "COlOWoTOMKSP" }, "source": [ "\n", " \"GitHub\n", "
\n", "\n", "* get your civitai api key from [here](https://civitai.com/user/account)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "tQqllRM-MCnT", "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "2733fcec246845c3adb5a53910c677fa", "80d6c073913e4417b2676fc8a4181e69", "8bc88940dc864ccdbb8cbbb56597a185", "5fed0bbb70ca4ebab75d7fc54e6eecc1" ] }, "outputId": "409e6fe0-37ac-471e-9b9e-a04751520d6c" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Output()" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "2733fcec246845c3adb5a53910c677fa" } }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "Output()" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "8bc88940dc864ccdbb8cbbb56597a185" } }, "metadata": {} } ], "source": [ "# @title WebUI Installer {\"display-mode\":\"form\"}\n", "\n", "Webui = 'ComfyUI' # @param [\"A1111\", \"Forge\", \"ReForge\", \"Forge-Classic\", \"Forge-Neo\", \"ComfyUI\", \"SwarmUI\"]\n", "Civitai___Key = '' # @param { type: \"string\", placeholder: \"Your Civitai API Key (required)\" }\n", "HF_Read_Token = '' # @param { type: \"string\", placeholder: \"Your Huggingface READ Token (optional)\" }\n", "Mount__GDrive = 'No' # @param [\"Yes\", \"No\"]\n", "\n", "mount = Mount__GDrive\n", "\n", "if mount == 'Yes':\n", " from google.colab import drive\n", " drive.mount('/content/drive')\n", "\n", "!curl -sLo /content/setup.py https://github.com/gutris1/segsmaker/raw/main/script/KC/setup.py\n", "%run /content/setup.py --webui=\"$Webui\" --civitai_key=\"$Civitai___Key\" --hf_read_token=\"$HF_Read_Token\"\n", "\n", "if mount == 'Yes':\n", " from pathlib import Path\n", "\n", " d = Path('/content/drive/MyDrive/Segsmaker')\n", "\n", " for n, p in {'checkpoint': CKPT, 'lora': LORA, 'vae': VAE, 'embeddings': Embeddings}.items():\n", " f = d / n\n", " f.mkdir(parents=True, exist_ok=True)\n", " s = p / f'drive-{n}'\n", " s.symlink_to(f, target_is_directory=True)\n", "\n", " !rm -rf $WebUI_Output\n", " o = d / {'ComfyUI': 'comfyui-output', 'SwarmUI': 'swarmui-output'}.get(Webui, 'output')\n", " o.mkdir(parents=True, exist_ok=True)\n", " WebUI_Output.symlink_to(o, target_is_directory=True)\n", "\n", " if Webui not in {'ComfyUI', 'SwarmUI'}:\n", " wc = WebUI / 'cache'\n", " !rm -rf $wc\n", " c = d / 'cache'\n", " c.mkdir(parents=True, exist_ok=True)\n", " wc.symlink_to(c, target_is_directory=True)" ] }, { "cell_type": "code", "source": [ "#THIS IS MAINLY FOR KRITA AI PLUGIN\n", "import os\n", "from google.colab import userdata\n", "\n", "# Root directory where all downloads will be stored\n", "root_dir = \"/content/ComfyUI/models\"\n", "\n", "# Ensure the root directory exists\n", "os.makedirs(root_dir, exist_ok=True)\n", "\n", "# List of model URLs and their corresponding output directories\n", "models_to_download = [\n", " {\"url\": \"https://huggingface.co/h94/IP-Adapter/resolve/main/models/image_encoder/model.safetensors\", \"dir\": \"clip_vision/sd1.5\"},\n", " {\"url\": \"https://huggingface.co/gemasai/4x_NMKD-Superscale-SP_178000_G/resolve/main/4x_NMKD-Superscale-SP_178000_G.pth\", \"dir\": \"upscale_models\"},\n", " {\"url\": \"https://huggingface.co/Acly/Omni-SR/resolve/main/OmniSR_X2_DIV2K.safetensors\", \"dir\": \"upscale_models\"},\n", " {\"url\": \"https://huggingface.co/Acly/Omni-SR/resolve/main/OmniSR_X3_DIV2K.safetensors\", \"dir\": \"upscale_models\"},\n", " {\"url\": \"https://huggingface.co/Acly/Omni-SR/resolve/main/OmniSR_X4_DIV2K.safetensors\", \"dir\": \"upscale_models\"},\n", " {\"url\": \"https://huggingface.co/Acly/MAT/resolve/main/MAT_Places512_G_fp16.safetensors\", \"dir\": \"inpaint\"},\n", " {\"url\": \"https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors\", \"dir\": \"controlnet\"},\n", " {\"url\": \"https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_lora_rank128_v11f1e_sd15_tile_fp16.safetensors\", \"dir\": \"controlnet\"},\n", " {\"url\": \"https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15.safetensors\", \"dir\": \"ipadapter\"},\n", " {\"url\": \"https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-8steps-CFG-lora.safetensors\", \"dir\": \"loras\"},\n", " {\"url\": \"https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter_sdxl_vit-h.safetensors\", \"dir\": \"ipadapter\"},\n", " {\"url\": \"https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-8steps-CFG-lora.safetensors\", \"dir\": \"loras\"},\n", " {\"url\": \"https://huggingface.co/lllyasviel/fooocus_inpaint/resolve/main/fooocus_inpaint_head.pth\", \"dir\": \"inpaint\"},\n", " {\"url\": \"https://huggingface.co/lllyasviel/fooocus_inpaint/resolve/main/inpaint_v26.fooocus.patch\", \"dir\": \"inpaint\"},\n", "]\n", "\n", "for item in models_to_download:\n", " url = item[\"url\"]\n", " output_dir = os.path.join(root_dir, item[\"dir\"])\n", " os.makedirs(output_dir, exist_ok=True)\n", "\n", " # Switch to the target directory\n", " %cd -q {output_dir}\n", "\n", " # Extract the filename from the URL automatically to avoid \"NoneType\" errors\n", " filename = url.split('/')[-1]\n", "\n", " print(f\"Downloading {filename} to {item['dir']}...\")\n", "\n", " # Run the download magic with the correct filename variable\n", " %download {url} {filename}" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "wB4tC6EySt9m", "outputId": "19fb9451-82df-4b46-f54b-890a17af097e" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Downloading model.safetensors to clip_vision/sd1.5...\n", " \u001b[35m【\u001b[0m\u001b[36m#\u001b[0m\u001b[38;5;35mfcd3df\u001b[0m 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}, "outputId": "5130648c-d22e-45ff-c94d-2c91a98da281" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Cloning into 'rgthree-comfy'...\n", "remote: Enumerating objects: 4678, done.\u001b[K\n", "remote: Counting objects: 100% (1615/1615), done.\u001b[K\n", "remote: Compressing objects: 100% (424/424), done.\u001b[K\n", "remote: Total 4678 (delta 1347), reused 1204 (delta 1191), pack-reused 3063 (from 2)\u001b[K\n", "Receiving objects: 100% (4678/4678), 4.98 MiB | 22.34 MiB/s, done.\n", "Resolving deltas: 100% (3467/3467), done.\n", "Cloning into 'comfyui-vae-reflection'...\n", "remote: Enumerating objects: 39, done.\u001b[K\n", "remote: Counting objects: 100% (39/39), done.\u001b[K\n", "remote: Compressing objects: 100% (26/26), done.\u001b[K\n", "remote: Total 39 (delta 14), reused 34 (delta 9), pack-reused 0 (from 0)\u001b[K\n", "Receiving objects: 100% (39/39), 3.87 MiB | 33.31 MiB/s, done.\n", "Resolving deltas: 100% (14/14), done.\n", "Cloning into 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done.\u001b[K\n", "remote: Compressing objects: 100% (25/25), done.\u001b[K\n", "remote: Total 266 (delta 62), reused 55 (delta 47), pack-reused 194 (from 1)\u001b[K\n", "Receiving objects: 100% (266/266), 3.11 MiB | 26.79 MiB/s, done.\n", "Resolving deltas: 100% (156/156), done.\n", "Cloning into 'SDXL-Flux2VAE-ComfyUI-Node'...\n", "remote: Enumerating objects: 44, done.\u001b[K\n", "remote: Counting objects: 100% (44/44), done.\u001b[K\n", "remote: Compressing objects: 100% (35/35), done.\u001b[K\n", "remote: Total 44 (delta 20), reused 22 (delta 7), pack-reused 0 (from 0)\u001b[K\n", "Receiving objects: 100% (44/44), 28.92 KiB | 630.00 KiB/s, done.\n", "Resolving deltas: 100% (20/20), done.\n", " c11b41|\u001b[38;5;35mOK\u001b[0m | 298KiB/s|\u001b[38;5;208m/\u001b[0mcontent\u001b[38;5;208m/\u001b[0mComfyUI\u001b[38;5;208m/\u001b[0mcustom_nodes\u001b[38;5;208m/\u001b[0manina_fp16_patch.py\n", " \u001b[35m【\u001b[0m\u001b[36m#\u001b[0m\u001b[38;5;35m04181b\u001b[0m 239\u001b[38;5;135mMiB\u001b[0m\u001b[35m/\u001b[0m242\u001b[38;5;135mMiB\u001b[0m\u001b[35m(\u001b[0m98%\u001b[35m)\u001b[0m \u001b[36mCN\u001b[0m:\u001b[38;5;208m4\u001b[0m \u001b[36mDL\u001b[0m:183\u001b[38;5;135mMiB\u001b[0m\u001b[35m】\u001b[0m\n", " 04181b|\u001b[38;5;35mOK\u001b[0m | 131MiB/s|\u001b[38;5;208m/\u001b[0mcontent\u001b[38;5;208m/\u001b[0mComfyUI\u001b[38;5;208m/\u001b[0mmodels\u001b[38;5;208m/\u001b[0mvae\u001b[38;5;208m/\u001b[0mqwen_image_vae.safetensors\n", " missing URL, downloading nothing\n", " missing URL, downloading nothing\n", " missing URL, downloading nothing\n", " missing URL, downloading nothing\n" ] } ], "source": [ "''' These are placeholders for commands with empty inputs. '''\n", "''' Replace them with actual values or skip/delete this cell. '''\n", "\n", "\n", "''' SD Extensions / ComfyUI Custom Nodes '''\n", "%cd -q $Extensions\n", "!git clone https://github.com/rgthree/rgthree-comfy.git\n", "# !git clone https://github.com/Jelosus2/comfyui-vae-reflection.git\n", "# !git clone https://github.com/cubiq/ComfyUI_IPAdapter_plus.git\n", "# !git clone https://github.com/Acly/comfyui-tooling-nodes.git\n", "# !git clone https://github.com/Acly/comfyui-inpaint-nodes.git\n", "# !git clone https://github.com/Anzhc/SDXL-Flux2VAE-ComfyUI-Node.git\n", "%download https://huggingface.co/RicemanT/lora-testing/resolve/main/anina_fp16_patch.py\n", "\n", "''' VAE '''\n", "%cd -q $VAE\n", "%download https://huggingface.co/circlestone-labs/Anima/resolve/main/split_files/vae/qwen_image_vae.safetensors\n", "\n", "''' Embeddings '''\n", "%cd -q $Embeddings\n", "%download\n", "\n", "''' Upscalers '''\n", "%cd -q $Upscalers\n", "%download\n", "\n", "''' FLUX Unet '''\n", "%cd -q $UNET\n", "%download\n", "\n", "''' FLUX Clip '''\n", "%cd -q $CLIP\n", "%download" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "CuR9tiSnPRBM", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "f56fb010-c51b-4979-daba-445b9e8d75ac" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " \u001b[35m【\u001b[0m\u001b[36m#\u001b[0m\u001b[38;5;35mcfe993\u001b[0m 3.7\u001b[38;5;135mGiB\u001b[0m\u001b[35m/\u001b[0m3.8\u001b[38;5;135mGiB\u001b[0m\u001b[35m(\u001b[0m96%\u001b[35m)\u001b[0m \u001b[36mCN\u001b[0m:\u001b[38;5;208m16\u001b[0m \u001b[36mDL\u001b[0m:177\u001b[38;5;135mMiB\u001b[0m\u001b[35m】\u001b[0m\n", " cfe993|\u001b[38;5;35mOK\u001b[0m | 152MiB/s|\u001b[38;5;208m/\u001b[0mcontent\u001b[38;5;208m/\u001b[0mComfyUI\u001b[38;5;208m/\u001b[0mmodels\u001b[38;5;208m/\u001b[0mcheckpoints\u001b[38;5;208m/\u001b[0manima-preview.safetensors\n", " baf0c7|\u001b[38;5;35mOK\u001b[0m | 164KiB/s|\u001b[38;5;208m/\u001b[0mcontent\u001b[38;5;208m/\u001b[0mComfyUI\u001b[38;5;208m/\u001b[0mmodels\u001b[38;5;208m/\u001b[0mcheckpoints\u001b[38;5;208m/\u001b[0manimaFp8_fp16Patch_trainingData.zip\n" ] } ], "source": [ "''' Checkpoint '''\n", "%cd -q $CKPT\n", "# %download https://huggingface.co/CabalResearch/NoobAI-RectifiedFlow-Experimental/resolve/main/NoobAI-RF-v0.2-Base.safetensors\n", "# %download https://huggingface.co/CabalResearch/NoobAI-Flux2VAE-RectifiedFlow-0.3/resolve/main/NoobAI%20Flux2VAE%20RF%20v0.3%20-%20Base.safetensors\n", "# %download https://huggingface.co/ChenkinNoob/ChenkinNoob-XL-V0.2/resolve/main/ChenkinNoob-XL-V0.2.safetensors\n", "# %download https://huggingface.co/ChenkinRF/Chenkin0.2RF-Experiments/resolve/main/Chenkin-RF-e4.safetensors\n", "# %download https://huggingface.co/ChenkinRF/Chenkin0.2RF-Experiments/resolve/main/Chenkin-RF-e5-step00025600.safetensors\n", "%download https://huggingface.co/circlestone-labs/Anima/resolve/main/split_files/diffusion_models/anima-preview.safetensors\n", "''' LoRA '''\n", "%cd -q $LORA\n", "# %download https://civitai.com/models/122359/detail-tweaker-xl\n", "# %download https://civitai.com/models/669571/pony-add-more-details details-add-more-pony.safetensors" ] }, { "cell_type": "code", "source": [ "# 1. Define the Text Encoder folder path\n", "TE = '/content/ComfyUI/models/text_encoders'\n", "\n", "# 2. Ensure the directory exists (just in case)\n", "import os\n", "os.makedirs(TE, exist_ok=True)\n", "\n", "# 3. Use wget to download (replace URL with your model link)\n", "# Example: downloading the T5XXL Encoder\n", "!wget -c \"# 1. Define the Text Encoder folder path\n", "TE = '/content/ComfyUI/models/text_encoders'\n", "\n", "# 2. Ensure the directory exists (just in case)\n", "import os\n", "os.makedirs(TE, exist_ok=True)\n", "\n", "# 3. Use wget to download (replace URL with your model link)\n", "# Example: downloading the T5XXL Encoder\n", "!wget -c \"https://huggingface.co/circlestone-labs/Anima/resolve/main/split_files/text_encoders/qwen_3_06b_base.safetensors\" -P $TE" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "3nvLKXf7foSP", "outputId": "56091f44-b0d1-4aa4-8808-e2e16ec48d0a" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "/bin/bash: -c: line 1: unexpected EOF while looking for matching `\"'\n", "/bin/bash: -c: line 2: syntax error: unexpected end of file\n", "--2026-02-02 11:09:56-- https://huggingface.co/circlestone-labs/Anima/resolve/main/split_files/text_encoders/qwen_3_06b_base.safetensors\n", "Resolving huggingface.co (huggingface.co)... 18.239.50.80, 18.239.50.49, 18.239.50.103, ...\n", "Connecting to huggingface.co (huggingface.co)|18.239.50.80|:443... connected.\n", "HTTP request sent, awaiting response... 302 Found\n", "Location: https://us.gcp.cdn.hf.co/xet-bridge-us/697bce851d5f3563e9fe891f/1e48a7f3dfbc9a887e0ec71eef7c3dadd9c5109c6d9b10881f82ade063dbb8c4?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27qwen_3_06b_base.safetensors%3B+filename%3D%22qwen_3_06b_base.safetensors%22%3B&Expires=1770034196&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiRXBvY2hUaW1lIjoxNzcwMDM0MTk2fX0sIlJlc291cmNlIjoiaHR0cHM6Ly91cy5nY3AuY2RuLmhmLmNvL3hldC1icmlkZ2UtdXMvNjk3YmNlODUxZDVmMzU2M2U5ZmU4OTFmLzFlNDhhN2YzZGZiYzlhODg3ZTBlYzcxZWVmN2MzZGFkZDljNTEwOWM2ZDliMTA4ODFmODJhZGUwNjNkYmI4YzRcXD9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=KWwx1Jz1bOaPrsQMoTk7IZtQQ2Gpw3fQXqfiFsNTrNeLI4xAefxgmv5e70Zer1hgTwkRD5zW1DXS-JgIcXsOW%7E9iSH8rUCd%7EbJyc5NLYT77MzyZJWn-b8xMsVVfap8efTBq7a3VQ-mdlzIKSnJ0gingv5md4UOGEFU6Dq6xCLd6GY16KW1E-wHR8UMcSEAPv0gbZcUf8jsIcBZwND3RBBLW6dAwQz8cIfIP%7EEZ6i1UeL6iWFQE6xOcya44Qn1Qd4H18bwWQR15GbsQhEoSYNcFBXPKJipQZ0397mBqCF3uFAUgdsyk1EmPryfTPqsv85ODt0lWBG5PAjDLyYas1DqA__&Key-Pair-Id=KJLH8B0YWU4Y8M [following]\n", "--2026-02-02 11:09:56-- https://us.gcp.cdn.hf.co/xet-bridge-us/697bce851d5f3563e9fe891f/1e48a7f3dfbc9a887e0ec71eef7c3dadd9c5109c6d9b10881f82ade063dbb8c4?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27qwen_3_06b_base.safetensors%3B+filename%3D%22qwen_3_06b_base.safetensors%22%3B&Expires=1770034196&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiRXBvY2hUaW1lIjoxNzcwMDM0MTk2fX0sIlJlc291cmNlIjoiaHR0cHM6Ly91cy5nY3AuY2RuLmhmLmNvL3hldC1icmlkZ2UtdXMvNjk3YmNlODUxZDVmMzU2M2U5ZmU4OTFmLzFlNDhhN2YzZGZiYzlhODg3ZTBlYzcxZWVmN2MzZGFkZDljNTEwOWM2ZDliMTA4ODFmODJhZGUwNjNkYmI4YzRcXD9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=KWwx1Jz1bOaPrsQMoTk7IZtQQ2Gpw3fQXqfiFsNTrNeLI4xAefxgmv5e70Zer1hgTwkRD5zW1DXS-JgIcXsOW%7E9iSH8rUCd%7EbJyc5NLYT77MzyZJWn-b8xMsVVfap8efTBq7a3VQ-mdlzIKSnJ0gingv5md4UOGEFU6Dq6xCLd6GY16KW1E-wHR8UMcSEAPv0gbZcUf8jsIcBZwND3RBBLW6dAwQz8cIfIP%7EEZ6i1UeL6iWFQE6xOcya44Qn1Qd4H18bwWQR15GbsQhEoSYNcFBXPKJipQZ0397mBqCF3uFAUgdsyk1EmPryfTPqsv85ODt0lWBG5PAjDLyYas1DqA__&Key-Pair-Id=KJLH8B0YWU4Y8M\n", "Resolving us.gcp.cdn.hf.co (us.gcp.cdn.hf.co)... 34.120.165.110\n", "Connecting to us.gcp.cdn.hf.co (us.gcp.cdn.hf.co)|34.120.165.110|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 1192135096 (1.1G) [application/octet-stream]\n", "Saving to: ‘/content/ComfyUI/models/text_encoders/qwen_3_06b_base.safetensors’\n", "\n", "qwen_3_06b_base.saf 100%[===================>] 1.11G 97.5MB/s in 17s \n", "\n", "2026-02-02 11:10:13 (66.3 MB/s) - ‘/content/ComfyUI/models/text_encoders/qwen_3_06b_base.safetensors’ saved [1192135096/1192135096]\n", "\n" ] } ] }, { "cell_type": "code", "source": [ "#FOR TESTING LORAS, DONT NEED TO TOUCH\n", "from huggingface_hub import snapshot_download, login\n", "import os\n", "import shutil\n", "\n", "# 1. Login\n", "login()\n", "\n", "# 2. Setup ComfyUI Paths\n", "# Based on your sidebar: /content/models/loras\n", "dest_folder = \"/content/ComfyUI/models/loras\"\n", "temp_download = \"/content/ComfyUI/models/loras/tmp_lora\"\n", "\n", "# 3. Download from HF\n", "print(f\"Downloading folders to {temp_download}...\")\n", "snapshot_download(\n", " repo_id=\"RicemanT/lora-testing\",\n", " local_dir=temp_download,\n", " allow_patterns=[\"jacknife-LoCon-ChenkinNoobRectifiedFlowV0.2/*\"]\n", ")\n", "\n", "# 4. Move and Flatten Files\n", "if not os.path.exists(dest_folder):\n", " os.makedirs(dest_folder, exist_ok=True)\n", "\n", "for root, dirs, files in os.walk(temp_download):\n", " for file in files:\n", " # Check for model weights\n", " if file.endswith(('.safetensors', '.pt', '.ckpt')):\n", " source_path = os.path.join(root, file)\n", " target_path = os.path.join(dest_folder, file)\n", "\n", " # Move file directly to /models/loras/\n", " shutil.move(source_path, target_path)\n", " print(f\"✅ Moved to ComfyUI: {file}\")\n", "\n", "# 5. Cleanup\n", "shutil.rmtree(temp_download)\n", "print(f\"\\n✨ Success! Files are ready in {dest_folder}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "731ee0fccf814cd9acc1ad21d078008a", "38810fa0a1f34538abc7eb32e7c658e2", "b1c06239f8e14b9eb4316d68c6a2dd0f", "46557e494736430cbd5d7ccacf0e00aa", "c5e58baaa7a5454d995df0fe1c60575d", "2693ccc877774367bf0947e4854e9dc2", "a4790f125c344329a3313cee0b4315ad", "882041d7837f40d68e9eccbe9dbf378b", "43f957bf015c4c1c8a3168bdc91defe4", "991cb58f685346fd8cd7b57c387bb3a5", "bfc4aa90f185419c8f3d741d0b5fe1d1", "1d1ab525b02e47ef9580e28a45283c1a", "5500afc93cc04c1182994d41379ce6f5", "b51babdb602243f983a9780724590a94", "fb8842f8f8c545f68615c10511219276", "6307aff16e94424e82e9763502cf6271", "ea1c6a748bbb4a8492b567ef06180387", "0011b5e8770646079ac97f2d8ccae717", "408de66dc3e74621a13a02416fee885c", "8655e63967b54ea89d43e5055ebb8b5e", "e0a4300295e3467ca08c74b96b2ef674", "0ec0a6b756af4ab7a8f986070b81e582", "2f145316a0be4b17a7da269e52aefa29", "86d978e9b5c840cba12138dc78cba085", "f282a48a426a40eea78ce3e0196511a8", "5d4c596b428f43409352082cf4aef897", "6d655b9edccf49328825909313e17752", "30abcc4b0fed4d0b9c0f26bd5b3089d2", "bd738aa73a2541e7bd3b112b94d383d6", "9b2293dce2e2458887526938975e1662", "0e7f705163ec4f70bed2f5b1273afbdb", "da3c0e22e7344d40906934f4f0142c13", "09618daa1114447fa8b209af7c7dfa15", "8bfb4b83974e4ec2b37ef4ab96afdcd0", "5bbdf52df4b44ff2a25bc5ef99a2e706", "92aabacf98e84bcbb0cc815238341a8b", "3ce5ac929feb46a29640d3f142d0d52c", "48cddeb612594a3dac5f45ece93075f9", "a1c1ea26dee64ed7aeec227bab600bb3", "441e270504cd4cab90256504dfd4da48", "ebc1b1fdad2f41b7be76b0fb2ead0f69", "60b44a20442447e29e7adad95b4745c6", "fbd2fe9880a148089318998a96571e45", "106776b0ed1847e380b6cc3fc27b37d5", "b353f108ba70468e91f6c44c6922e1af", "02028ac2871347e28a2d9999f0852c36", "0f51bc4778dd4d8baa0974fca96deb1d", "2d6e9e874de04c938bae1b6798a9a308", "366d073f6b0d42cd8e98473d0b5a543b", "fc91c7702fec4604a9b16c7207d98831", "8b16cde4eaf6465dbc8e16021d57635c", "bc992a879bea449a8c5b681b1a78f8da", "7fa22627ec9b4b5e964a7d1ee0a1ff53", "27f2ddf9a07f478cb43538212fb08f0c", "93eb1dfa25154748822e41c4fa632614", "4ab64b3443ca4ded8dacc083c6ed354a", "0cb71826f30b487b986476f8320e1cff", "933791d6b9d4432581150d8d6f9a1849", "36b923661a3d4681aa137d9ed6082a97", "9554d9985b5e425e9e5236b8b99a620f", "e1dc07cf3621487c9d48b167e865552e", "4cc666876cb74ede98fd83f17c0e7503", "0dc145aec27c409295a26f5a4db4aa94", "0103a8e3ebad4fdcb8f79f5e65aa3649", "ef42a2c1e370404c986337db0f7058a6", "c115fb4344f34c3f902640ab851355ed", "3036fce0556745e292bf31777e9aea37", "143481eff1b244f19eb332a21ae4a8e4", "432092381be642d1b17041c64afcf8f2", "7153a03f1ea4489cb8ea89c83f28d7e2", "0a36c3764d9f4e74983ebf42fa9539ed", "fa3f750938c44c1b95f6fcf441f2538e", "40031cc816074f978e316e22eb362247", "866366e8ae6d4fb495f49c681023f528", "dc72ebbc4cab44f2896e9b87bc5feaed", "cf64ed9263a84e62aef16eadf88ca06f", "1fef5c3751e14523a2258b66fc10d73f", "c2499ffdb9b2486e9a7abc59c9a28f4b", "9908c62f49dc49cfa74f636cfc5ed93f", "ff3773f00eeb4b7daddd88f26b840c86", "b0f9261e6c494d00b38e6370d18c2a25", "2ff81430c90746149fa25d76e2ce840f", "36e69035dca94032be6883e5d75861d3", "ed4dce67f0fc4cefb1c270625fc6225c", "dce6f55cda004e69b269bf220fea6eca", "43575e9a1d324089a57285c2783c814c", "2695277206184937a3a12ce598f05db9", "c4e11d87a6a84ce8a09c819f59bad67c", "994bd210504c40669e6c98888fa1d47d", "50f63dfa6dd1403abd161a22e7134042", "9634d6b52b04442aaf12869c5f829156", "3659448765b74e99ba895e984b4e5242", "5e42ec6ba8c249bea2b48b63ef64dac3", "58720afe144d426195b6f91645b52dd7", "22eb66f0992c4f4e9b5ab998c8261dbb", "9d3ca3f4b24549e1aeeddc3d121ddc45", "58c45a19d0024d04a1bbc4ee6d4f84cb", "544e0d6674f34935a343b30ee16d8922", "6bb0c9589778428b903b7f4549ae7e27", "1cf4f6a71d0a4f3b80dce0e530b08a9c", "0e66cc1af930429093c8331f6719728e", "e072394242784910954bc9681577c744", "8742ccc0db1648f889ec611217d2c056", "9b42835421b6422eb94de48ef9f8dacf", "5fb0071b431a4204a903036c66ea12a6", "b88a16128f194eb6a0823ded555ef986", "81f42902a3904ef4ba310f25390b594e", "71c5db28b9694c64a01bbe0d0dbf04eb", "645c87c7d2d64cdaacd77703f1715226", "017ce8d9c5184fe8a5453cf274b64b4c", "e8f77e8bc1804ae495f99e8c99d91f1f", "6f0a2528f7754d00b69bd8791f751d14", "61b1725be6df49f0af013615184e68df", "5c47dee894e6443f86ca2dd20b8f5fbc", "8ae37cc9e40a4eeb884e1977a490fbfa", "bfe9d7a79d214812bdf98aa5633a3596" ] }, "id": "JjYQWyWZSA0U", "outputId": "f6d1d141-2707-442b-d4cc-76a87c03caa8" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "VBox(children=(HTML(value='
\u001b[0;34m()\u001b[0m\n\u001b[1;32m 35\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 36\u001b[0m \u001b[0;31m# 5. Cleanup\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 37\u001b[0;31m \u001b[0mshutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrmtree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtemp_download\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 38\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"\\n✨ Success! Files are ready in {dest_folder}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/lib/python3.12/shutil.py\u001b[0m in \u001b[0;36mrmtree\u001b[0;34m(path, ignore_errors, onerror, onexc, dir_fd)\u001b[0m\n\u001b[1;32m 757\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 758\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0mstack\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 759\u001b[0;31m \u001b[0m_rmtree_safe_fd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstack\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0monexc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 760\u001b[0m \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 761\u001b[0m \u001b[0;31m# Close any file descriptors still on the stack.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/lib/python3.12/shutil.py\u001b[0m in \u001b[0;36m_rmtree_safe_fd\u001b[0;34m(stack, onexc)\u001b[0m\n\u001b[1;32m 701\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 702\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfilename\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 703\u001b[0;31m \u001b[0monexc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 704\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 705\u001b[0m _use_fd_functions = ({os.open, os.stat, os.unlink, os.rmdir} <=\n", "\u001b[0;32m/usr/lib/python3.12/shutil.py\u001b[0m in \u001b[0;36m_rmtree_safe_fd\u001b[0;34m(stack, onexc)\u001b[0m\n\u001b[1;32m 678\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msamestat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0morig_st\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfstat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtopfd\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 679\u001b[0m \u001b[0;31m# Symlinks to directories are forbidden, see GH-46010.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 680\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Cannot call rmtree on a symbolic link\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 681\u001b[0m \u001b[0mstack\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrmdir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdirfd\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morig_entry\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 682\u001b[0m \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mOSError\u001b[0m: [Errno None] None: '/content/ComfyUI/models/loras/tmp_lora'" ] } ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "wO4OTCOWALEc" }, "outputs": [], "source": [ "''' Controlnet '''\n", "%run $Controlnet_Widget" ] }, { "cell_type": "markdown", "metadata": { "id": "BB8pCZnrQnR9" }, "source": [ "## Launcher\n", "args list :\n", "- **A1111** = `--xformers`\n", "- **Forge** = `--disable-xformers --opt-sdp-attention --cuda-stream`\n", "- **ReForge** = `--xformers --cuda-stream`\n", "- **Forge-Classic** = `--xformers --cuda-stream --persistent-patches`\n", "- **Forge-Neo** = `--xformers --cuda-stream`\n", "- **ComfyUI** = `--dont-print-server --use-pytorch-cross-attention`\n", "- **SwarmUI** = `--launch_mode none`\n", "

\n", "\n", "For ComfyUI, add `--skip-comfyui-check` to skip checking the main requirements and custom node dependencies\n", "\n", "Add **--N=ngrok_token** to start NGROK tunnel
\n", "Add **--Z=zrok_token** to start ZROK tunnel" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "ps7AEUdGX2iE", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "9d5d16ef-47b9-4e72-97bb-f2f2e844f0a7" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "[START] Security scan\n", "[ComfyUI-Manager] Using `uv` as Python module for pip operations.\n", "\u001b[2mUsing Python 3.10.15 environment at: /GUTRIS1\u001b[0m\n", "[DONE] Security scan\n", "## ComfyUI-Manager: installing dependencies done.\n", "** ComfyUI startup time: 2026-02-02 11:10:52.490\n", "** Platform: Linux\n", "** Python version: 3.10.15 (main, Oct 16 2024, 04:37:23) [Clang 18.1.8 ]\n", "** Python executable: /GUTRIS1/bin/python3\n", "** ComfyUI Path: /content/ComfyUI\n", "** ComfyUI Base Folder Path: /content/ComfyUI\n", "** User directory: /content/ComfyUI/user\n", "** ComfyUI-Manager config path: /content/ComfyUI/user/__manager/config.ini\n", "** Log path: /content/ComfyUI/user/comfyui.log\n", "\u001b[2mUsing Python 3.10.15 environment at: /GUTRIS1\u001b[0m\n", "\u001b[2mUsing Python 3.10.15 environment at: /GUTRIS1\u001b[0m\n", "\n", "Prestartup times for custom nodes:\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/rgthree-comfy\n", " 1.1 seconds: /content/ComfyUI/custom_nodes/ComfyUI-Manager\n", "\n", "Checkpoint files will always be loaded safely.\n", "WARNING: You need pytorch with cu130 or higher to use optimized CUDA operations.\n", "Found comfy_kitchen backend triton: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8']}\n", "Found comfy_kitchen backend eager: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'scaled_mm_nvfp4']}\n", "Found comfy_kitchen backend cuda: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'scaled_mm_nvfp4']}\n", "Total VRAM 15095 MB, total RAM 12976 MB\n", "pytorch version: 2.6.0+cu124\n", "xformers version: 0.0.29.post3\n", "Set vram state to: NORMAL_VRAM\n", "Device: cuda:0 Tesla T4 : cudaMallocAsync\n", "Using async weight offloading with 2 streams\n", "Enabled pinned memory 12326.0\n", "Using pytorch attention\n", "Python version: 3.10.15 (main, Oct 16 2024, 04:37:23) [Clang 18.1.8 ]\n", "ComfyUI version: 0.11.1\n", "ComfyUI frontend version: 1.37.11\n", "[Prompt Server] web root: /GUTRIS1/lib/python3.10/site-packages/comfyui_frontend_package/static\n", "Successfully imported spandrel_extra_arches: support for non commercial upscale models.\n", "\n", "\u001b[92m[rgthree-comfy] Loaded 48 exciting nodes. 🎉\u001b[0m\n", "\n", "\u001b[33m[rgthree-comfy] ComfyUI's new Node 2.0 rendering may be incompatible with some rgthree-comfy nodes and features, breaking some rendering as well as losing the ability to access a node's properties (a vital part of many nodes). It also appears to run MUCH more slowly spiking CPU usage and causing jankiness and unresponsiveness, especially with large workflows. Personally I am not planning to use the new Nodes 2.0 and, unfortunately, am not able to invest the time to investigate and overhaul rgthree-comfy where needed. If you have issues when Nodes 2.0 is enabled, I'd urge you to switch it off as well and join me in hoping ComfyUI is not planning to deprecate the existing, stable canvas rendering all together.\n", "\u001b[0m\n", "\u001b[36mEfficiency Nodes:\u001b[0m Attempting to add Control Net options to the 'HiRes-Fix Script' Node (comfyui_controlnet_aux add-on)...\u001b[92mSuccess!\u001b[0m\n", "NumExpr defaulting to 2 threads.\n", "\u001b[34mFizzleDorf Custom Nodes: \u001b[92mLoaded\u001b[0m\n", "\u001b[34mWAS Node Suite: \u001b[0mBlenderNeko's Advanced CLIP Text Encode found, attempting to enable `CLIPTextEncode` support.\u001b[0m\n", "\u001b[34mWAS Node Suite: \u001b[0m`CLIPTextEncode (BlenderNeko Advanced + NSP)` node enabled under `WAS Suite/Conditioning` menu.\u001b[0m\n", "\u001b[34mWAS Node Suite: \u001b[0mOpenCV Python FFMPEG support is enabled\u001b[0m\n", "\u001b[34mWAS Node Suite \u001b[93mWarning: \u001b[0m`ffmpeg_bin_path` is not set in `/content/ComfyUI/custom_nodes/was-node-suite-comfyui/was_suite_config.json` config file. Will attempt to use system ffmpeg binaries if available.\u001b[0m\n", "\u001b[34mWAS Node Suite: \u001b[0mFinished.\u001b[0m \u001b[32mLoaded\u001b[0m \u001b[0m221\u001b[0m \u001b[32mnodes successfully.\u001b[0m\n", "\n", "\t\u001b[3m\u001b[93m\"Art is the journey of a free soul.\"\u001b[0m\u001b[3m - Alev Oguz\u001b[0m\n", "\n", "\u001b[36;20m[/content/ComfyUI/custom_nodes/comfyui_controlnet_aux] | INFO -> Using ckpts path: /content/ComfyUI/custom_nodes/comfyui_controlnet_aux/ckpts\u001b[0m\n", "\u001b[36;20m[/content/ComfyUI/custom_nodes/comfyui_controlnet_aux] | INFO -> Using symlinks: False\u001b[0m\n", "\u001b[36;20m[/content/ComfyUI/custom_nodes/comfyui_controlnet_aux] | INFO -> Using ort providers: ['CUDAExecutionProvider', 'DirectMLExecutionProvider', 'OpenVINOExecutionProvider', 'ROCMExecutionProvider', 'MIGraphXExecutionProvider', 'CPUExecutionProvider', 'CoreMLExecutionProvider']\u001b[0m\n", "[anima fp16 patch] patch loading\n", "Traceback (most recent call last):\n", " File \"/content/ComfyUI/nodes.py\", line 2216, in load_custom_node\n", " module_spec.loader.exec_module(module)\n", " File \"\", line 883, in exec_module\n", " File \"\", line 241, in _call_with_frames_removed\n", " File \"/content/ComfyUI/custom_nodes/anina_fp16_patch.py\", line 54, in \n", " torch.backends.cuda.matmul.allow_fp16_accumulation = True\n", " File \"/GUTRIS1/lib/python3.10/site-packages/torch/backends/cuda/__init__.py\", line 144, in __setattr__\n", " raise AttributeError(\"Unknown attribute \" + name)\n", "AttributeError: Unknown attribute allow_fp16_accumulation\n", "\n", "Cannot import /content/ComfyUI/custom_nodes/anina_fp16_patch.py module for custom nodes: Unknown attribute allow_fp16_accumulation\n", "### Loading: ComfyUI-Manager (V3.39.2)\n", "[ComfyUI-Manager] network_mode: public\n", "[ComfyUI-Manager] ComfyUI per-queue preview override detected (PR #11261). Manager's preview method feature is disabled. Use ComfyUI's --preview-method CLI option or 'Settings > Execution > Live preview method'.\n", "### ComfyUI Version: v0.11.1-20-gdd86b155 | Released on '2026-02-02'\n", "\n", "Import times for custom nodes:\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/websocket_image_save.py\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/ComfyUI_ADV_CLIP_emb\n", " 0.0 seconds (IMPORT FAILED): /content/ComfyUI/custom_nodes/anina_fp16_patch.py\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/ComfyUI_NestedNodeBuilder\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/SD-Latent-Upscaler\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/comfyui-vae-reflection\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/ComfyUI-Image-Selector\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/SDXL-Flux2VAE-ComfyUI-Node\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/ComfyUI_IPAdapter_plus\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/comfyui-inpaint-nodes\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/ComfyUI-Custom-Scripts\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/ComfyUI_UltimateSDUpscale\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/Derfuu_ComfyUI_ModdedNodes\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/ComfyUI-Advanced-ControlNet\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/rgthree-comfy\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/comfyui_controlnet_aux\n", " 0.0 seconds: /content/ComfyUI/custom_nodes/comfyui-tooling-nodes\n", " 0.1 seconds: /content/ComfyUI/custom_nodes/ComfyUI-Manager\n", " 0.4 seconds: /content/ComfyUI/custom_nodes/efficiency-nodes-comfyui\n", " 0.4 seconds: /content/ComfyUI/custom_nodes/ComfyUI_FizzNodes\n", " 1.3 seconds: /content/ComfyUI/custom_nodes/was-node-suite-comfyui\n", "\n", "Context impl SQLiteImpl.\n", "Will assume non-transactional DDL.\n", "Assets scan(roots=['models']) completed in 0.072s (created=1, skipped_existing=59, orphans_pruned=0, total_seen=60)\n", "[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json\n", "[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json\n", "[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json\n", "[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json\n", "[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json\n", "FETCH ComfyRegistry Data: 5/123\n", "\n", "🟢 Gradio \u001b[38;5;208m:\u001b[0m https://54a695e8d85e4f48ac.gradio.live\n", "\n", "🟢 Pinggy \u001b[38;5;208m:\u001b[0m https://wygct-34-91-139-250.a.free.pinggy.link\n", "\n", "🟢 Cloudflared \u001b[38;5;208m:\u001b[0m http://level-connectors-amazing-separation.trycloudflare.com \n", "\n", "FETCH ComfyRegistry Data: 10/123\n", "FETCH ComfyRegistry Data: 15/123\n", "FETCH ComfyRegistry Data: 20/123\n", "FETCH ComfyRegistry Data: 25/123\n", "FETCH ComfyRegistry Data: 30/123\n", "FETCH ComfyRegistry Data: 35/123\n", "FETCH ComfyRegistry Data: 40/123\n", "FETCH ComfyRegistry Data: 45/123\n", "FETCH ComfyRegistry Data: 50/123\n", "FETCH ComfyRegistry Data: 55/123\n", "FETCH ComfyRegistry Data: 60/123\n", "FETCH ComfyRegistry Data: 65/123\n", "FETCH ComfyRegistry Data: 70/123\n", "FETCH ComfyRegistry Data: 75/123\n", "FETCH ComfyRegistry Data: 80/123\n", "FETCH ComfyRegistry Data: 85/123\n", "FETCH ComfyRegistry Data: 90/123\n", "FETCH ComfyRegistry Data: 95/123\n", "FETCH ComfyRegistry Data: 100/123\n", "FETCH ComfyRegistry Data: 105/123\n", "FETCH ComfyRegistry Data: 110/123\n", "FETCH ComfyRegistry Data: 115/123\n", "FETCH ComfyRegistry Data: 120/123\n", "FETCH ComfyRegistry Data [DONE]\n", "[ComfyUI-Manager] default cache updated: https://api.comfy.org/nodes\n", "FETCH DATA from: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json [DONE]\n", "[ComfyUI-Manager] All startup tasks have been completed.\n", "[DEPRECATION WARNING] Detected import of deprecated legacy API: /scripts/ui.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.\n", "[DEPRECATION WARNING] Detected import of deprecated legacy API: /extensions/core/groupNode.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.\n", "[DEPRECATION WARNING] Detected import of deprecated legacy API: /scripts/ui/components/button.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.\n", "[DEPRECATION WARNING] Detected import of deprecated legacy API: /scripts/ui/components/buttonGroup.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.\n", "got prompt\n", "Using pytorch attention in VAE\n", "Using pytorch attention in VAE\n", "VAE load device: cuda:0, offload device: cpu, dtype: torch.float16\n", "Requested to load AnimaTEModel_\n", "loaded completely; 1136.88 MB loaded, full load: True\n", "CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cuda:0, dtype: torch.float16\n", "model weight dtype torch.float32, manual cast: None\n", "model_type FLOW\n", "WARNING: No VAE weights detected, VAE not initalized.\n", "no CLIP/text encoder weights in checkpoint, the text encoder model will not be loaded.\n", "loaded diffusion model directly to GPU\n", "Requested to load Anima\n", "loaded completely; 7976.79 MB loaded, full load: True\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "Requested to load Anima\n", "100% 28/28 [01:07<00:00, 2.41s/it]\n", "Requested to load WanVAE\n", "loaded completely; 2430.19 MB usable, 242.03 MB loaded, full load: True\n", "Prompt executed in 95.12 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", " 50% 14/28 [00:33<00:34, 2.45s/it]Interrupting prompt 68627e6c-3ab6-4b2a-945a-9d608fca0f75\n", " 50% 14/28 [00:34<00:34, 2.43s/it]\n", "Processing interrupted\n", "Prompt executed in 34.14 seconds\n", "got prompt\n", "Requested to load AnimaTEModel_\n", "loaded completely; 5489.96 MB usable, 1136.88 MB loaded, full load: True\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "100% 28/28 [01:07<00:00, 2.42s/it]\n", "Prompt executed in 69.24 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "100% 28/28 [01:12<00:00, 2.59s/it]\n", "Prompt executed in 73.36 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "100% 28/28 [01:12<00:00, 2.59s/it]\n", "Prompt executed in 73.30 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "100% 28/28 [01:12<00:00, 2.59s/it]\n", "Interrupting prompt 145d4778-9a45-4c2f-8b48-69991c0efda6\n", "Processing interrupted\n", "Prompt executed in 72.87 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", " 82% 23/28 [00:55<00:12, 2.43s/it]got prompt\n", "100% 28/28 [01:07<00:00, 2.42s/it]\n", "Prompt executed in 68.54 seconds\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "100% 28/28 [01:07<00:00, 2.40s/it]\n", "Prompt executed in 67.96 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", " 68% 19/28 [00:46<00:22, 2.45s/it]Interrupting prompt b37fbf27-94e6-4a5c-80e1-2c6e2e4417f1\n", " 68% 19/28 [00:46<00:21, 2.43s/it]\n", "Processing interrupted\n", "Prompt executed in 46.37 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", " 68% 19/28 [00:45<00:21, 2.40s/it]Interrupting prompt ac3cbfc0-293a-4b88-a483-a78b53688034\n", " 71% 20/28 [00:47<00:19, 2.39s/it]\n", "Processing interrupted\n", "Prompt executed in 47.86 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "100% 28/28 [01:07<00:00, 2.42s/it]\n", "Prompt executed in 68.67 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "100% 28/28 [01:07<00:00, 2.42s/it]\n", "Prompt executed in 68.57 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "100% 28/28 [01:07<00:00, 2.40s/it]\n", "Prompt executed in 68.03 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "100% 28/28 [01:12<00:00, 2.58s/it]\n", "Prompt executed in 73.09 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "100% 28/28 [01:12<00:00, 2.59s/it]\n", "Prompt executed in 73.39 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", "100% 28/28 [01:12<00:00, 2.58s/it]\n", "Prompt executed in 73.23 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", " 18% 5/28 [00:12<00:58, 2.55s/it]Interrupting prompt ae43da07-b39f-4ba2-a2b5-d1d1f4689546\n", " 18% 5/28 [00:13<01:03, 2.75s/it]\n", "Processing interrupted\n", "Prompt executed in 13.90 seconds\n", "got prompt\n", "\n", "WARNING, you accessed packed_vae_latent_channels from the model config object which doesn't exist. Please fix your code.\n", "\n", " 4% 1/28 [00:02<01:09, 2.59s/it]" ] } ], "source": [ "%cd -q $WebUI\n", "%run segsmaker.py --dont-print-server --use-pytorch-cross-attention" ] } ], "metadata": { "accelerator": "GPU", "colab": { "gpuType": "T4", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "731ee0fccf814cd9acc1ad21d078008a": { "model_module": "@jupyter-widgets/controls", "model_name": "VBoxModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "VBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "VBoxView", "box_style": "", "children": [ "IPY_MODEL_38810fa0a1f34538abc7eb32e7c658e2", "IPY_MODEL_b1c06239f8e14b9eb4316d68c6a2dd0f", "IPY_MODEL_46557e494736430cbd5d7ccacf0e00aa", "IPY_MODEL_c5e58baaa7a5454d995df0fe1c60575d", "IPY_MODEL_2693ccc877774367bf0947e4854e9dc2" ], "layout": "IPY_MODEL_a4790f125c344329a3313cee0b4315ad" } }, "38810fa0a1f34538abc7eb32e7c658e2": { "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_882041d7837f40d68e9eccbe9dbf378b", "placeholder": "​", "style": "IPY_MODEL_43f957bf015c4c1c8a3168bdc91defe4", "value": "

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【 Installing Custom Nodes 】 " }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ " ComfyUI_UltimateSDUpscale ▶ https://github.com/ssitu/ComfyUI_UltimateSDUpscale\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " ComfyUI_UltimateSDUpscale/repositories/ultimate_sd_upscale ▶ https://github.com/ssitu/ComfyUI_UltimateSDUpscale\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " ComfyUI-Manager ▶ https://github.com/ltdrdata/ComfyUI-Manager\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " ComfyUI-Custom-Scripts ▶ https://github.com/pythongosssss/ComfyUI-Custom-Scripts\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " SD-Latent-Upscaler ▶ https://github.com/city96/SD-Latent-Upscaler\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " efficiency-nodes-comfyui ▶ https://github.com/jags111/efficiency-nodes-comfyui\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " ComfyUI_ADV_CLIP_emb ▶ https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " ComfyUI_NestedNodeBuilder ▶ https://github.com/ssitu/ComfyUI_NestedNodeBuilder\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " ComfyUI-Advanced-ControlNet ▶ https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " comfyui_controlnet_aux ▶ https://github.com/Fannovel16/comfyui_controlnet_aux\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " ComfyUI-Image-Selector ▶ https://github.com/SLAPaper/ComfyUI-Image-Selector\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " Derfuu_ComfyUI_ModdedNodes ▶ https://github.com/Derfuu/Derfuu_ComfyUI_ModdedNodes\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " ComfyUI_FizzNodes ▶ https://github.com/FizzleDorf/ComfyUI_FizzNodes\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ " 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