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AmorousWanKisses.safetensors ADDED
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+ },
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+ "outputs": [],
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+ "source": [
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+ "!git clone https://github.com/deepbeepmeep/Wan2GP.git\n",
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+ "%cd Wan2GP\n",
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+ "!pip install torch==2.6.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu124\n",
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+ "!pip install -r requirements.txt\n",
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+ "!pip install sageattention==1.0.6"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "id": "aeefbb8c-da90-4b46-b6a7-9e51220e8195",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "!mkdir -p ./ckpts/mask && wget -O ./ckpts/mask/sam_vit_h_4b8939_fp16.safetensors https://huggingface.co/DeepBeepMeep/Wan2.1/resolve/main/mask/sam_vit_h_4b8939_fp16.safetensors"
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "!pip install flash-attn==2.7.2.post1\n",
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+ "!python wgp.py --share"
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+ ]
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+ }
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+ ],
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+ "metadata": {
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+ "colab": {
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+ "provenance": []
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+ "display_name": "Python 3 (ipykernel)",
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+ "model":
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+ "name": "Wan image2video FusioniX 14B MM",
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+ "architecture" : "i2v",
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+ "description": "A powerful merged text-to-video model based on the original WAN 2.1 T2V model, enhanced using multiple open-source components and LoRAs to boost motion realism, temporal consistency, and expressive detail.",
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+ "https://huggingface.co/hdtrnk/FusioniX-All/resolve/main/Wan14Bi2vFusioniX_pure_fp16.safetensors",
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+ {
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+ "model": {
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+ "name": "Wan text2video Phantom FusioniX 14B",
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+ "architecture": "phantom_14B",
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+ "description": "A 14-billion-parameter Phantom-flavoured text-to-video merge derived from WAN 2.1 T2V plus open-source LoRAs for richer motion and coherence.",
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+ "URLs": [
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+ "ckpts/Wan14BT2VFusioniX_Phantom_pure_fp16.safetensors"
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