favs / workflows /Wan2.2-I2V-SVI-AutoPrompt-GGUF.json
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Update workflows and provisioning configuration
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"# WAN 2.2 NSFW I2V SVI LONG VIDEO with AUTOPROMPT \n\n## 🖥️ Civitai Model \n*Credits to* [taek75799](https://civitai.com/user/taek75799)\n \n- [🔗 NSFW SVI CF FP8 High](https://civitai.com/models/2053259?modelVersionId=2609141)\n- [🔗 NSFW SVI CF FP8 Low](https://civitai.com/models/2053259?modelVersionId=2609148)\n\n## 🎥 SVI LORAS\n\n- [🔗 SVI High](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Stable-Video-Infinity/v2.0/SVI_v2_PRO_Wan2.2-I2V-A14B_HIGH_lora_rank_128_fp16.safetensors)\n- [🔗 SVI Low](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Stable-Video-Infinity/v2.0/SVI_v2_PRO_Wan2.2-I2V-A14B_LOW_lora_rank_128_fp16.safetensors)\n\n## ⚡️ LIGHTX2V LORAS\n\n**COMBO 1**\n- [🔗 Lightx2v 480p R128 BF16](https://huggingface.co/Kijai/WanVideo_comfy/resolve/709844db75d2e15582cf204e9a0b5e12b23a35dd/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors)\n\n**Weight:** High = 3.00 | Low = 1.50\n\n**COMBO 2**\n- [🔗 Lightx2v High](https://civitai.com/models/1585622?modelVersionId=2361379)\n- [🔗 Lightx2v Low](https://civitai.com/models/1585622?modelVersionId=2337903)\n\n**Weight:** High = 1.00 | Low = 1.00\n\n---\n\n## Text Encoders\n- **FP8**: [🔗 umt5_xxl_fp8 text_encoder](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n- **FP16**: [🔗 umt5_xxl_fp16 text_encoder](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp16.safetensors)\n- **NSFW FP8**: [🔗 nsfw_wan_umt5-xxl_fp8_scaled](https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/resolve/main/nsfw_wan_umt5-xxl_fp8_scaled.safetensors)\n- **NSFW BF16**: [🔗 nsfw_wan_umt5-xxl_bf16](https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/resolve/main/nsfw_wan_umt5-xxl_bf16.safetensors)\n\n## VAE\n- **BF16:**: [🔗 wan_2.1_vae](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n- **FP32:**: [🔗 wan_2.1_fp32_vae](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan2_1_VAE_fp32.safetensors)\n\n## UPSCALE MODEL\n\n- [🔗 2xLexicaRRDBNet](https://huggingface.co/huchukato/favs/resolve/main/ESRGAN/2xLexicaRRDBNet.pth)\n- [🔗 2xLexicaRRDBNet_Sharp](https://huggingface.co/huchukato/favs/resolve/main/ESRGAN/2xLexicaRRDBNet_Sharp.pth)\n\n---\n\n## 🔖 AUTOPROMPT\n\n*Install this modified node that allows you to use an uncensored QwenVL model*\n\n```\ncd ComfyUI/custom_nodes/\ngit clone https://github.com/huchukato/ComfyUI-QwenVL-Mod.git\n```\n"
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"## 🔖 To use the Qwen3-VL GGUF Quantized models you have to install *llama-cpp-python*\n\n\n**🛑 STOP COMFYUI**\n\n**📂 Activate the ComfyUI Virtual Enviroment**\n\nIn your ComfyUI root installation folder type:\non Windows:\n\nCommand Prompt:\n```\n\\venv\\Scripts\\activate.bat\n```\nor Power Shell:\n```\n\\venv\\Scripts\\Activate.ps1\n```\non Linux:\n```\n. /venv/bin/activate\n```\n**⬇️ Install llama-cpp-python**\n```\npip install --upgrade --force-reinstall --no-cache-dir \"llama-cpp-python @ git+https://github.com/JamePeng/llama-cpp-python.git\"\n```\n**🔄 Restart ComfyUI and enjoy**\n\n"
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