- "content": "wan2.2将图片转为视频(需要两个wanvideo model loader节点,在这个节点中分别需要高低噪两个视频模型,其模型为HIGH_fp8、LOW_fp8并且需要两个WanVideo Sampler节点来进行分布采样。wan2.2将图片转为视频(需要两个wanvideo model loader节点，在这个节点中分别需要高低噪两个视频模型,其模型为HIGH_fp8、LOW_fp8。vae需要wanvideo vae loader和wan2_1_vae_bf16模型),并需要用到专属的wan系列生图节点组。这里要注意VAE节点需要连接wan video imagetovideo encode,WanVideo Model Loader节点需要连接WanVideo Set BlockSwap,WanVideo Sampler节点需要连接WanVideo ImageToVideo Encode、WanVideo TextEncode，WanVideo Set BlockSwap节点需要连接WanVideo Block Swap、WanVideo Set LoRAs,WanVideo Sampler节点需要连接WanVideo Decode {\n \"11\": {\n \"inputs\": {\n \"model_name\": \"umt5-xxl-enc-bf16.safetensors\",\n \"precision\": \"bf16\",\n \"load_device\": \"offload_device\",\n \"quantization\": \"disabled\"\n },\n \"class_type\": \"LoadWanVideoT5TextEncoder\",\n \"_meta\": {\n \"title\": \"WanVideo T5 Text Encoder Loader\"\n }\n },\n \"16\": {\n \"inputs\": {\n \"positive_prompt\": \"猫咪的头部猛的向前一探\",\n \"negative_prompt\": \"色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走\",\n \"force_offload\": true,\n \"use_disk_cache\": false,\n \"device\": \"gpu\",\n \"t5\": [\n \"11\",\n 0\n ]\n },\n \"class_type\": \"WanVideoTextEncode\",\n \"_meta\": {\n \"title\": \"WanVideo TextEncode\"\n }\n },\n \"28\": {\n \"inputs\": {\n \"enable_vae_tiling\": false,\n \"tile_x\": 272,\n \"tile_y\": 272,\n \"tile_stride_x\": 144,\n \"tile_stride_y\": 128,\n \"normalization\": \"default\",\n \"vae\": [\n \"38\",\n 0\n ],\n \"samples\": [\n \"90\",\n 0\n ]\n },\n \"class_type\": \"WanVideoDecode\",\n \"_meta\": {\n \"title\": \"WanVideo Decode\"\n }\n },\n \"38\": {\n \"inputs\": {\n \"model_name\": \"Wan2_1_VAE_bf16.safetensors\",\n \"precision\": \"bf16\"\n },\n \"class_type\": \"WanVideoVAELoader\",\n \"_meta\": {\n \"title\": \"WanVideo VAE Loader\"\n }\n },\n \"39\": {\n \"inputs\": {\n \"blocks_to_swap\": 20,\n \"offload_img_emb\": false,\n \"offload_txt_emb\": false,\n \"use_non_blocking\": false,\n \"vace_blocks_to_swap\": 1\n },\n \"class_type\": \"WanVideoBlockSwap\",\n \"_meta\": {\n \"title\": \"WanVideo Block Swap\"\n }\n },\n \"56\": {\n \"inputs\": {\n \"lora\": \"Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors\",\n \"strength\": 3,\n \"low_mem_load\": true,\n \"merge_loras\": false\n },\n \"class_type\": \"WanVideoLoraSelect\",\n \"_meta\": {\n \"title\": \"WanVideo Lora Select\"\n }\n },\n \"89\": {\n \"inputs\": {\n \"width\": 832,\n \"height\": 480,\n \"num_frames\": 81,\n \"noise_aug_strength\": 0,\n \"start_latent_strength\": 1,\n \"end_latent_strength\": 1,\n \"force_offload\": true,\n \"fun_or_fl2v_model\": false,\n \"tiled_vae\": false,\n \"vae\": [\n \"38\",\n 0\n ]\n },\n \"class_type\": \"WanVideoImageToVideoEncode\",\n \"_meta\": {\n \"title\": \"WanVideo ImageToVideo Encode\"\n }\n },\n \"90\": {\n \"inputs\": {\n \"steps\": 8,\n \"cfg\": 1,\n \"shift\": 8,\n \"seed\": 652251640766870,\n \"force_offload\": true,\n \"scheduler\": \"unipc\",\n \"riflex_freq_index\": 0,\n \"denoise_strength\": 1,\n \"batched_cfg\": false,\n \"rope_function\": \"comfy\",\n \"start_step\": 4,\n \"end_step\": -1,\n \"image_embeds\": [\n \"89\",\n 0\n ],\n \"text_embeds\": [\n \"16\",\n 0\n ]\n },\n \"class_type\": \"WanVideoSampler\",\n \"_meta\": {\n \"title\": \"WanVideo Sampler\"\n }\n },\n \"150\": {\n \"inputs\": {\n \"lora\": [\n \"56\",\n 0\n ]\n },\n \"class_type\": \"WanVideoSetLoRAs\",\n \"_meta\": {\n \"title\": \"WanVideo Set LoRAs\"\n }\n }\n}"
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