This is a workflow for Wan 2.2 SVI Pro with LoRa. It has a "loop" which allows you to set the number of passes without having to restructure the workflow. Only the section with the LoRa files needs to be expanded if you need more than one LoRa file per section or a higher total number of LoRa files.Model Links:<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/blob/main/LoRAs/Stable-Video-Infinity/v2.0/SVI_v2_PRO_Wan2.2-I2V-A14B_HIGH_lora_rank_128_fp16.safetensors">https://huggingface.co/Kijai/WanVideo_comfy/blob/main/LoRAs/Stable-Video-Infinity/v2.0/SVI_v2_PRO_Wan2.2-I2V-A14B_HIGH_lora_rank_128_fp16.safetensors</a><a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/blob/main/LoRAs/Stable-Video-Infinity/v2.0/SVI_v2_PRO_Wan2.2-I2V-A14B_LOW_lora_rank_128_fp16.safetensors">https://huggingface.co/Kijai/WanVideo_comfy/blob/main/LoRAs/Stable-Video-Infinity/v2.0/SVI_v2_PRO_Wan2.2-I2V-A14B_LOW_lora_rank_128_fp16.safetensors</a>Used Models:<a target="_blank" rel="ugc" href="https://civarchive.com/models/2190659/dasiwa-wan-22-i2v-14b-tastysin-v8-or-lightspeed-or-gguf">https://civarchive.com/models/2190659/dasiwa-wan-22-i2v-14b-tastysin-v8-or-lightspeed-or-gguf</a>Alternatively:<a target="_blank" rel="ugc" href="https://huggingface.co/jayn7/WAN2.2-I2V_A14B-DISTILL-LIGHTX2V-4STEP-GGUF/tree/main">https://huggingface.co/jayn7/WAN2.2-I2V_A14B-DISTILL-LIGHTX2V-4STEP-GGUF/tree/main</a><a target="_blank" rel="ugc" href="https://huggingface.co/jayn7/WAN2.2-I2V_A14B-DISTILL-LIGHTX2V-4STEP-GGUF/tree/main/high_noise_1030?show_file_info=high_noise_1030%2Fwan2.2_i2v_A14b_high_noise_lightx2v_4step_1030-Q6_K.gguf">https://huggingface.co/jayn7/WAN2.2-I2V_A14B-DISTILL-LIGHTX2V-4STEP-GGUF/tree/main/high_noise_1030?show_file_info=high_noise_1030%2Fwan2.2_i2v_A14b_high_noise_lightx2v_4step_1030-Q6_K.gguf</a><a target="_blank" rel="ugc" href="https://huggingface.co/jayn7/WAN2.2-I2V_A14B-DISTILL-LIGHTX2V-4STEP-GGUF/tree/main/low_noise?show_file_info=low_noise%2Fwan2.2_i2v_A14b_low_noise_lightx2v_4step-Q6_K.gguf">https://huggingface.co/jayn7/WAN2.2-I2V_A14B-DISTILL-LIGHTX2V-4STEP-GGUF/tree/main/low_noise?show_file_info=low_noise%2Fwan2.2_i2v_A14b_low_noise_lightx2v_4step-Q6_K.gguf</a>Setup:1. Do your main settings2. Write your prompts3. Select your loRas (if needed)Go for it!Info:This workflow is configured for 16 GB of VRAM. If you have less, increase the "block_to_swap" value or use a higher quantization model.

Wan 2.2 – SVI Pro with LoRA

Completely improved version. Better handling.

Files with SHA256: 823c05a1df8190e87b23a8a467fd00d532fc0efa1196c7c2f9fff503d53c6cde