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MoeKS_wan22_fflf_v1.json

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+{
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+  "revision": 0,
+  "last_node_id": 148,
+  "last_link_id": 255,
+  "nodes": [
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+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
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+          ]
+        }
+      ],
+      "title": "LoraLoaderModelOnly (Low Noise)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.49",
+        "Node name for S&R": "LoraLoaderModelOnly",
+        "models": [
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+            "name": "wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors",
+            "url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors",
+            "directory": "loras"
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+      ],
+      "outputs": [
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+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "slot_index": 0,
+          "links": [
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+          ]
+        }
+      ],
+      "title": "CLIP Text Encode (Negative Prompt)",
+      "properties": {
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+        "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, 裸露,"
+      ],
+      "color": "#322",
+      "bgcolor": "#533"
+    },
+    {
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+      "type": "MarkdownNote",
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+      "flags": {},
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+      "inputs": [],
+      "outputs": [],
+      "title": "Model Links",
+      "properties": {},
+      "widgets_values": [
+        "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n)\n  \nt2v = Text to video (prompt only)  \ni2v = Image to video (prompt and start image)  \nv2v = Video to video (prompt and reference video)  \n  \nWan 2.2 14B models use the Wan 2.1 VAE! Only the 5B model requires the Wan 2.2 VAE.\n\nIf you need to use quantized models (GGUFs), replace the \"Load Diffusion Model\" nodes with the corresponding \"Unet Loader (GGUF)\" node.\n\n**Diffusion Models**       \n- [Wan 2.2 ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/diffusion_models)  \n- [Wan 2.2 GGUF repository (quantized models)](https://huggingface.co/collections/QuantStack/wan22-ggufs)\n\n**LoRA**\n\n- [Lightx2v distill loras (official HF)](https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/tree/main)\n- [Lightx2v high noise lora build 1030](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22_Lightx2v/Wan_2_2_I2V_A14B_HIGH_lightx2v_4step_lora_v1030_rank_64_bf16.safetensors)\n- [Kijai Lightx2v loras](https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lightx2v)  \n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder**   \n- [T5XXL ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders)\n\n\nFile save location\n\n```\nComfyUI/\n├───📂 models/\n│   ├───📂 diffusion_models/\n│   │   ├─── wan2.2_i2v_low_noise_14B_f16.safetensors\n│   │   ├─── wan2.2_i2v_high_noise_14B_fp16.safetensors\n│   │   ├─── Wan2.2-I2V-A14B-HighNoise-Q6_K.gguf\n│   │   └─── Wan2.2-I2V-A14B-LowNoise-Q6_K.gguf\n│   ├───📂 loras/\n│   │   ├───wan2.2_i2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors\n│   │   └───wan2.2_i2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors\n│   ├───📂 text_encoders/\n│   │   └─── umt5_xxl_fp16.safetensors \n│   └───📂 vae/\n│       ���── wan_2.1_vae.safetensors\n```\n"
+      ],
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+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "README",
+      "properties": {},
+      "widgets_values": [
+        "## This workflow has a few specialities:  \n  \n1) The Lightx2v distil loras are only used during the low noise phase. This gives much better/dynamic generations, as the high noise phase can run unrestricted, while still giving some speed improvements during the low noise phase.  \n    \n2) The raw (16fps) video is not saved by default, but the frames are run through VFI to double the frame rate to 32fps, giving a much smoother playback. If you don't want that, enable \"save_output\" on the first Video Combine node and bypass VFI and the second one.  \n  \n3) In case you want to try to extend the video, the raw frames of either the 16fps or VFI video can be saved alongside the final video file. Enable/disable one of the Save Image nodes accordingly. It is recommended to use the RAW frames as those adhere to the Wan 16fps standard.\n  \n4) The video file and frames are by default saved into a subfolder that is named after the seed used by the high noise ksampler.  \n\n5) It uses the Wan MoE KSampler instead of the default one, which will automatically switch between the high and low noise models at the optimal step (see below).  \n\n**Do NOT** use the distill loras together with a model that has them merged in! Read the model description to verify if that is the case or not.  \n\n**Shift**  \nUse 5.0 for t2v and 8.0 for i2v. Values within that range usually work well.\n  \n**Width & Height**  \nWan 2.2 is trained on ~1 megapixel, the default resolutions are  \n1280 x 720  \n720 x 1280  \n960 x 960  \nbut in general it is very flexible about the resolution and ratio so you can use lower values if you run out of vram.\n\n**Length**  \nDefault length of Wan 2.2 videos is 81 frames which corresponds to ~5 seconds of video. Usually any range between 61 and 121 frames works okay, anything further off results in incoherent results.  \n  \n**Boundary**  \nThis corresponds to the diffusion timestep around which the model used is supposed to start using the low noise expert. For Wan 2.2 T2V, this value should be 0.875, For Wan 2.2 I2V, the value should be 0.900. Using other values might still work.  \n  \n## _MoE KSampler mixed distill setup_\nThis requires a specific parameter setup.  \n  \n**Total steps**: must be the same value as if you were not using any distil loras at all, e.g. the default 20 steps    \n  \n**end_at_step**: this must/should be lower to use the distill speed improvement. 15 steps is recommended, but values between 10-15 usually work.  \n  \n**CFG high**: As the high noise phase is running without distill, you can use CFG > 1 to enable the negative prompt. This is recommended.  \n  \n**CFG low**: In the low noise phase the distill lora is used, so CFG must be 1.0.  \n  \n## _Normal parameter setup_\n\n(Bypass distill lora loader nodes)  \n  \nIf you dont want to use the distill loras/models, just set \"end_at_step\" to the same value as total steps and CFG low to the same value as CFG high."
+      ],
+      "color": "#332922",
+      "bgcolor": "#593930"
+    },
+    {
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+      "type": "VAELoader",
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+        -380
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+        60
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+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VAE",
+          "type": "VAE",
+          "slot_index": 0,
+          "links": [
+            236,
+            246
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.45",
+        "Node name for S&R": "VAELoader",
+        "models": [
+          {
+            "name": "wan_2.1_vae.safetensors",
+            "url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors",
+            "directory": "vae"
+          }
+        ]
+      },
+      "widgets_values": [
+        "wan_2.1_vae.safetensors"
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+      "color": "#233",
+      "bgcolor": "#355"
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+    {
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+      "type": "UNETLoader",
+      "pos": [
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+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "slot_index": 0,
+          "links": [
+            153
+          ]
+        }
+      ],
+      "title": "Load Diffusion Model (High Noise)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.45",
+        "Node name for S&R": "UNETLoader",
+        "models": [
+          {
+            "name": "wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors",
+            "url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors",
+            "directory": "diffusion_models"
+          }
+        ]
+      },
+      "widgets_values": [
+        "wan2.2_i2v_high_noise_14B_fp16.safetensors",
+        "default"
+      ],
+      "color": "#233",
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+      "type": "UNETLoader",
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+      "order": 4,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "slot_index": 0,
+          "links": [
+            155
+          ]
+        }
+      ],
+      "title": "Load Diffusion Model (Low Noise)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.45",
+        "Node name for S&R": "UNETLoader",
+        "models": [
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+            "name": "wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors",
+            "url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors",
+            "directory": "diffusion_models"
+          }
+        ]
+      },
+      "widgets_values": [
+        "wan2.2_i2v_low_noise_14B_fp16.safetensors",
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+      "flags": {},
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+      "mode": 0,
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+          "type": "CLIP",
+          "slot_index": 0,
+          "links": [
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+      "properties": {
+        "cnr_id": "comfy-core",
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+        "models": [
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+            "name": "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
+            "url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors",
+            "directory": "text_encoders"
+          }
+        ]
+      },
+      "widgets_values": [
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+        "wan",
+        "default"
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+      "color": "#233",
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+      "type": "LoraLoaderModelOnly",
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+          "type": "MODEL",
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+        }
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+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            245
+          ]
+        }
+      ],
+      "title": "LoraLoaderModelOnly (High Noise)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.49",
+        "Node name for S&R": "LoraLoaderModelOnly",
+        "models": [
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+            "name": "wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors",
+            "url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors",
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+          }
+        ]
+      },
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+          "type": "MODEL",
+          "links": []
+        }
+      ],
+      "title": "Unet Loader (GGUF) (High Noise)",
+      "properties": {
+        "cnr_id": "comfyui-gguf",
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+          "type": "MODEL",
+          "links": []
+        }
+      ],
+      "title": "Unet Loader (GGUF) (Low Noise)",
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+          "type": "CONDITIONING",
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+        },
+        {
+          "name": "negative",
+          "type": "CONDITIONING",
+          "link": 213
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": 236
+        },
+        {
+          "name": "clip_vision_start_image",
+          "shape": 7,
+          "type": "CLIP_VISION_OUTPUT",
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+        },
+        {
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+          "type": "CLIP_VISION_OUTPUT",
+          "link": null
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+          "type": "IMAGE",
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+        },
+        {
+          "name": "end_image",
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+          "type": "IMAGE",
+          "link": 255
+        },
+        {
+          "name": "width",
+          "type": "INT",
+          "widget": {
+            "name": "width"
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+        },
+        {
+          "name": "height",
+          "type": "INT",
+          "widget": {
+            "name": "height"
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+          "link": 254
+        }
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+          "name": "negative",
+          "type": "CONDITIONING",
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+          "name": "latent",
+          "type": "LATENT",
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+        },
+        {
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+          "type": "LATENT",
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+        {
+          "name": "LATENT",
+          "type": "LATENT",
+          "links": [
+            243
+          ]
+        }
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+      "properties": {
+        "aux_id": "stduhpf/ComfyUI-WanMoeKSampler",
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MoeKS_wan22_i2v_v1.json

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+        "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n)\n  \nt2v = Text to video (prompt only)  \ni2v = Image to video (prompt and start image)  \nv2v = Video to video (prompt and reference video)  \n  \nWan 2.2 14B models use the Wan 2.1 VAE! Only the 5B model requires the Wan 2.2 VAE.\n\nIf you need to use quantized models (GGUFs), replace the \"Load Diffusion Model\" nodes with the corresponding \"Unet Loader (GGUF)\" node.\n\n**Diffusion Models**       \n- [Wan 2.2 ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/diffusion_models)  \n- [Wan 2.2 GGUF repository (quantized models)](https://huggingface.co/collections/QuantStack/wan22-ggufs)\n\n**LoRA**\n\n- [Lightx2v distill loras (official HF)](https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/tree/main)\n- [Lightx2v high noise lora build 1030](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22_Lightx2v/Wan_2_2_I2V_A14B_HIGH_lightx2v_4step_lora_v1030_rank_64_bf16.safetensors)\n- [Kijai Lightx2v loras](https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lightx2v)  \n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder**   \n- [T5XXL ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders)\n\n\nFile save location\n\n```\nComfyUI/\n├───📂 models/\n│   ├───📂 diffusion_models/\n│   │   ├─── wan2.2_i2v_low_noise_14B_f16.safetensors\n│   │   ├─── wan2.2_i2v_high_noise_14B_fp16.safetensors\n│   │   ├─── Wan2.2-I2V-A14B-HighNoise-Q6_K.gguf\n│   │   └─── Wan2.2-I2V-A14B-LowNoise-Q6_K.gguf\n│   ├───📂 loras/\n│   │   ├───wan2.2_i2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors\n│   │   └───wan2.2_i2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors\n│   ├───📂 text_encoders/\n│   │   └─── umt5_xxl_fp16.safetensors \n│   └───📂 vae/\n│       └── wan_2.1_vae.safetensors\n```\n"
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+}

MoeKS_wan22_t2v_v1.json

@@ -0,0 +1,1021 @@
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+      "title": "LoraLoaderModelOnly (High Noise)",
+      "properties": {
+        "cnr_id": "comfy-core",
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+        }
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+      "title": "Unet Loader (GGUF) (High Noise)",
+      "properties": {
+        "cnr_id": "comfyui-gguf",
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+      },
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+        "Wan2.2-T2V-A14B-HighNoise-Q6_K.gguf"
+      ],
+      "color": "#233",
+      "bgcolor": "#355"
+    },
+    {
+      "id": 147,
+      "type": "MarkdownNote",
+      "pos": [
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+      "size": [
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+        580
+      ],
+      "flags": {},
+      "order": 7,
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+      "outputs": [],
+      "title": "Model Links",
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+        "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n)\n  \nt2v = Text to video (prompt only)  \ni2v = Image to video (prompt and start image)  \nv2v = Video to video (prompt and reference video)  \nfflf = First Frame Last Frame Image to Video (prompt and two reference images)  \n  \nWan 2.2 14B models use the Wan 2.1 VAE! Only the 5B model requires the Wan 2.2 VAE.\n\nIf you need to use quantized models (GGUFs), replace the \"Load Diffusion Model\" nodes with the corresponding \"Unet Loader (GGUF)\" node.\n\n**Diffusion Models**       \n- [Wan 2.2 ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/diffusion_models)  \n- [Wan 2.2 GGUF repository (quantized models)](https://huggingface.co/collections/QuantStack/wan22-ggufs)\n\n**LoRA**\n\n- [Lightx2v distill loras (official HF)](https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/tree/main)\n- [Lightx2v I2V high noise lora build 1030](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22_Lightx2v/Wan_2_2_I2V_A14B_HIGH_lightx2v_4step_lora_v1030_rank_64_bf16.safetensors)\n- [Kijai Lightx2v loras](https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lightx2v)  \n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder**   \n- [T5XXL ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders)\n\n\nFile save location\n\n```\nComfyUI/\n├───📂 models/\n│   ├───📂 diffusion_models/\n│   │   ├─── wan2.2_t2v_low_noise_14B_f16.safetensors\n│   │   ├─── wan2.2_t2v_high_noise_14B_fp16.safetensors\n│   │   ├─── Wan2.2-T2V-A14B-HighNoise-Q6_K.gguf\n│   │   └─── Wan2.2-T2V-A14B-LowNoise-Q6_K.gguf\n│   ├───📂 loras/\n│   │   ├───wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors\n│   │   └───wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors\n│   ├───📂 text_encoders/\n│   │   └─── umt5_xxl_fp16.safetensors \n│   └───📂 vae/\n│       └── wan_2.1_vae.safetensors\n```\n"
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+      "title": "README",
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+        "## This workflow has a few specialities:  \n  \n1) The Lightx2v distil loras are only used during the low noise phase. This gives much better/dynamic generations, as the high noise phase can run unrestricted, while still giving some speed improvements during the low noise phase.  \n    \n2) The raw (16fps) video is not saved by default, but the frames are run through VFI to double the frame rate to 32fps, giving a much smoother playback. If you don't want that, enable \"save_output\" on the first Video Combine node and bypass VFI and the second one.  \n  \n3) In case you want to try to extend the video, the raw frames of either the 16fps or VFI video can be saved alongside the final video file. Enable/disable one of the Save Image nodes accordingly. It is recommended to use the RAW frames as those adhere to the Wan 16fps standard.\n  \n4) The video file and frames are by default saved into a subfolder that is named after the seed used by the high noise ksampler.  \n\n5) It uses the Wan MoE KSampler instead of the default one, which will automatically switch between the high and low noise models at the optimal step (see below).  \n\n**Do NOT** use the distill loras together with a model that has them merged in! Read the model description to verify if that is the case or not.  \n\n**Shift**  \nUse 5.0 for t2v and 8.0 for i2v. Values within that range usually work well.\n  \n**Width & Height**  \nWan 2.2 is trained on ~1 megapixel, the default resolutions are  \n1280 x 720  \n720 x 1280  \n960 x 960  \nbut in general it is very flexible about the resolution and ratio so you can use lower values if you run out of vram.\n\n**Length**  \nDefault length of Wan 2.2 videos is 81 frames which corresponds to ~5 seconds of video. Usually any range between 61 and 121 frames works okay, anything further off results in incoherent results.  \n  \n**Boundary**  \nThis corresponds to the diffusion timestep around which the model used is supposed to start using the low noise expert. For Wan 2.2 T2V, this value should be 0.875, For Wan 2.2 I2V, the value should be 0.900. Using other values might still work.  \n  \n## _MoE KSampler mixed distill setup_\nThis requires a specific parameter setup.  \n  \n**Total steps**: must be the same value as if you were not using any distil loras at all, e.g. the default 20 steps    \n  \n**end_at_step**: this must/should be lower to use the distill speed improvement. 15 steps is recommended, but values between 10-15 usually work.  \n  \n**CFG high**: As the high noise phase is running without distill, you can use CFG > 1 to enable the negative prompt. This is recommended.  \n  \n**CFG low**: In the low noise phase the distill lora is used, so CFG must be 1.0.  \n  \n## _Normal parameter setup_\n\n(Bypass distill lora loader nodes)  \n  \nIf you dont want to use the distill loras/models, just set \"end_at_step\" to the same value as total steps and CFG low to the same value as CFG high."
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+}

easy_wan22_fflf_v1.json

@@ -0,0 +1,1592 @@
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+      "type": "WanVideoImageResizeToClosest",
+      "pos": [
+        290,
+        500
+      ],
+      "size": [
+        310,
+        150
+      ],
+      "flags": {},
+      "order": 10,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 214
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            218
+          ]
+        },
+        {
+          "name": "width",
+          "type": "INT",
+          "links": [
+            217
+          ]
+        },
+        {
+          "name": "height",
+          "type": "INT",
+          "links": [
+            216
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfyui-wanvideowrapper",
+        "ver": "1.4.5",
+        "Node name for S&R": "WanVideoImageResizeToClosest"
+      },
+      "widgets_values": [
+        1280,
+        720,
+        "crop_to_new"
+      ]
+    },
+    {
+      "id": 129,
+      "type": "WanVideoImageResizeToClosest",
+      "pos": [
+        290,
+        940
+      ],
+      "size": [
+        310,
+        150
+      ],
+      "flags": {},
+      "order": 11,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 228
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            229
+          ]
+        },
+        {
+          "name": "width",
+          "type": "INT",
+          "links": []
+        },
+        {
+          "name": "height",
+          "type": "INT",
+          "links": []
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfyui-wanvideowrapper",
+        "ver": "1.4.5",
+        "Node name for S&R": "WanVideoImageResizeToClosest"
+      },
+      "widgets_values": [
+        1280,
+        720,
+        "crop_to_new"
+      ]
+    },
+    {
+      "id": 127,
+      "type": "WanFirstLastFrameToVideo",
+      "pos": [
+        630,
+        240
+      ],
+      "size": [
+        240,
+        250
+      ],
+      "flags": {},
+      "order": 18,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "positive",
+          "type": "CONDITIONING",
+          "link": 222
+        },
+        {
+          "name": "negative",
+          "type": "CONDITIONING",
+          "link": 221
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": 219
+        },
+        {
+          "name": "clip_vision_start_image",
+          "shape": 7,
+          "type": "CLIP_VISION_OUTPUT",
+          "link": null
+        },
+        {
+          "name": "clip_vision_end_image",
+          "shape": 7,
+          "type": "CLIP_VISION_OUTPUT",
+          "link": null
+        },
+        {
+          "name": "start_image",
+          "shape": 7,
+          "type": "IMAGE",
+          "link": 218
+        },
+        {
+          "name": "end_image",
+          "shape": 7,
+          "type": "IMAGE",
+          "link": 229
+        },
+        {
+          "name": "width",
+          "type": "INT",
+          "widget": {
+            "name": "width"
+          },
+          "link": 217
+        },
+        {
+          "name": "height",
+          "type": "INT",
+          "widget": {
+            "name": "height"
+          },
+          "link": 216
+        }
+      ],
+      "outputs": [
+        {
+          "name": "positive",
+          "type": "CONDITIONING",
+          "links": [
+            223,
+            224
+          ]
+        },
+        {
+          "name": "negative",
+          "type": "CONDITIONING",
+          "links": [
+            225,
+            226
+          ]
+        },
+        {
+          "name": "latent",
+          "type": "LATENT",
+          "links": [
+            227
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.5.1",
+        "Node name for S&R": "WanFirstLastFrameToVideo"
+      },
+      "widgets_values": [
+        1280,
+        720,
+        81,
+        1
+      ]
+    },
+    {
+      "id": 89,
+      "type": "CLIPTextEncode",
+      "pos": [
+        120,
+        -10
+      ],
+      "size": [
+        480,
+        280
+      ],
+      "flags": {},
+      "order": 15,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "link": 160
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "slot_index": 0,
+          "links": [
+            222
+          ]
+        }
+      ],
+      "title": "CLIP Text Encode (Positive Prompt)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.45",
+        "Node name for S&R": "CLIPTextEncode"
+      },
+      "widgets_values": [
+        ""
+      ],
+      "color": "#232",
+      "bgcolor": "#353"
+    },
+    {
+      "id": 125,
+      "type": "LoadImage",
+      "pos": [
+        -110,
+        500
+      ],
+      "size": [
+        390,
+        400
+      ],
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            214
+          ]
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null
+        }
+      ],
+      "title": "Load Image (First Frame)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.6.0",
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "example.png",
+        "image"
+      ]
+    },
+    {
+      "id": 62,
+      "type": "MarkdownNote",
+      "pos": [
+        -920,
+        -10
+      ],
+      "size": [
+        500,
+        570
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "Model Links",
+      "properties": {},
+      "widgets_values": [
+        "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n)\n  \nt2v = Text to video (prompt only)  \ni2v = Image to video (prompt and start image)  \nv2v = Video to video (prompt and reference video)  \nfflf = First Frame Last Frame Image to Video (prompt and two reference images)\n  \nWan 2.2 14B models use the Wan 2.1 VAE! Only the 5B model requires the Wan 2.2 VAE.\n\nIf you need to use quantized models (GGUFs), replace the \"Load Diffusion Model\" nodes with the corresponding \"Unet Loader (GGUF)\" node.\n\n**Diffusion Models**       \n- [Wan 2.2 ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/diffusion_models)  \n- [Wan 2.2 GGUF repository (quantized models)](https://huggingface.co/collections/QuantStack/wan22-ggufs)\n\n**LoRA**\n\n- [Lightx2v distill loras (official HF)](https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/tree/main)\n- [Lightx2v high noise lora build 1030](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22_Lightx2v/Wan_2_2_I2V_A14B_HIGH_lightx2v_4step_lora_v1030_rank_64_bf16.safetensors)\n- [Kijai Lightx2v loras](https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lightx2v)  \n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder**   \n- [T5XXL ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders)\n\n\nFile save location\n\n```\nComfyUI/\n├───📂 models/\n│   ├───📂 diffusion_models/\n│   │   ├─── wan2.2_i2v_low_noise_14B_f16.safetensors\n│   │   ├─── wan2.2_i2v_high_noise_14B_fp16.safetensors\n│   │   ├─── Wan2.2-I2V-A14B-HighNoise-Q6_K.gguf\n│   │   └─── Wan2.2-I2V-A14B-LowNoise-Q6_K.gguf\n│   ├───📂 loras/\n│   │   ├───wan2.2_i2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors\n│   │   └───wan2.2_i2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors\n│   ├───📂 text_encoders/\n│   │   └─── umt5_xxl_fp16.safetensors \n│   └───📂 vae/\n│       └── wan_2.1_vae.safetensors\n```\n"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 121,
+      "type": "MarkdownNote",
+      "pos": [
+        -920,
+        610
+      ],
+      "size": [
+        500,
+        770
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "README",
+      "properties": {},
+      "widgets_values": [
+        "## This workflow has a few specialities:  \n  \n1) The Lightx2v distill loras are used during during both high and low noise passes, which drastically increases generation speed at the cost of less dynamic/detailed generations. Distill model/lora usage requires CFG 1.0, and works within 4-8 total steps. You should distribute the steps evenly across both phases.\n    \n2) The raw (16fps) video is not saved by default, but the frames are run through VFI to double the frame rate to 32fps, giving a much smoother playback. If you don't want that, enable \"save_output\" on the first Video Combine node and bypass VFI and the second one.  \n  \n3) In case you want to try to extend the video, the raw frames of either the 16fps or VFI video can be saved alongside the final video file. Enable/disable one of the Save Image nodes accordingly. It is recommended to use the RAW frames as those adhere to the Wan 16fps standard.\n  \n4) The video file and frames are by default saved into a subfolder that is named after the seed used by the high noise ksampler.  \n\n**Do NOT** use the distill loras together with a model that has them merged in! Read the model description to verify if that is the case or not.  \n\n**Shift**  \nUse 5.0 for t2v and 8.0 for i2v. Values within that range usually work well.\n  \n**Width & Height**  \nWan 2.2 is trained on ~1 megapixel, the default resolutions are  \n1280 x 720  \n720 x 1280  \n960 x 960  \nbut in general it is very flexible about the resolution and ratio so you can use lower values if you run out of vram.\n\n**Length**  \nDefault length of Wan 2.2 videos is 81 frames which corresponds to ~5 seconds of video. Usually any range between 61 and 121 frames works okay, anything further off results in incoherent results.  \n\n## Dual KSampler setup (MoE model)\nWan 2.2. is a Mixture of Experts model, which means it has one model that creates the basic video composition and motion from the empty latent, while a second model then refines its output to increase details and quality. This requires a specific setup:  \n  \n1) **Both** KSamplers must be set to the same total amount of steps!\n2) The first KSampler \"end_at_step\" should be at half the amount of total steps and \"return_leftover_noise\" must be enabled.\n3) The second KSampler \"start_at_step\" should be the same value as the first ones \"end_at_step\", while its own \"end_at_step\" must be equal to the total amount of steps.\n\n## _Distill parameter setup_\n  \n**Total steps**: minimum of 4, maximum of 8\n\n**CFG**: The distill loras require CFG to be 1.0.  \nThis disables the negative prompt!  \n  \n## _Normal parameter setup_\n\n(Bypass distill lora loader nodes)  \n  \n**Total steps**: ~20\n\n**CFG**: ~3.5\nThis enables the negative prompt at the cost of increasing generation time x1.5, but is required for coherent results.\n"
+      ],
+      "color": "#332922",
+      "bgcolor": "#593930"
+    },
+    {
+      "id": 128,
+      "type": "LoadImage",
+      "pos": [
+        -110,
+        940
+      ],
+      "size": [
+        390,
+        400
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            228
+          ]
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null
+        }
+      ],
+      "title": "Load Image (Last Frame)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.6.0",
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "example.png",
+        "image"
+      ]
+    },
+    {
+      "id": 72,
+      "type": "CLIPTextEncode",
+      "pos": [
+        120,
+        310
+      ],
+      "size": [
+        480,
+        140
+      ],
+      "flags": {},
+      "order": 14,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "link": 141
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "slot_index": 0,
+          "links": [
+            221
+          ]
+        }
+      ],
+      "title": "CLIP Text Encode (Negative Prompt)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.45",
+        "Node name for S&R": "CLIPTextEncode"
+      },
+      "widgets_values": [
+        "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, 裸露,"
+      ],
+      "color": "#322",
+      "bgcolor": "#533"
+    },
+    {
+      "id": 122,
+      "type": "UnetLoaderGGUF",
+      "pos": [
+        -920,
+        -270
+      ],
+      "size": [
+        500,
+        80
+      ],
+      "flags": {},
+      "order": 4,
+      "mode": 4,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": []
+        }
+      ],
+      "title": "Unet Loader (GGUF) (Low Noise)",
+      "properties": {
+        "cnr_id": "comfyui-gguf",
+        "ver": "1.1.9",
+        "Node name for S&R": "UnetLoaderGGUF"
+      },
+      "widgets_values": [
+        "Wan2.2-I2V-A14B-LowNoise-Q6_K.gguf"
+      ],
+      "color": "#233",
+      "bgcolor": "#355"
+    },
+    {
+      "id": 123,
+      "type": "UnetLoaderGGUF",
+      "pos": [
+        -920,
+        -140
+      ],
+      "size": [
+        500,
+        80
+      ],
+      "flags": {},
+      "order": 5,
+      "mode": 4,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": []
+        }
+      ],
+      "title": "Unet Loader (GGUF) (High Noise)",
+      "properties": {
+        "cnr_id": "comfyui-gguf",
+        "ver": "1.1.9",
+        "Node name for S&R": "UnetLoaderGGUF"
+      },
+      "widgets_values": [
+        "Wan2.2-I2V-A14B-HighNoise-Q6_K.gguf"
+      ],
+      "color": "#233",
+      "bgcolor": "#355"
+    },
+    {
+      "id": 73,
+      "type": "VAELoader",
+      "pos": [
+        -400,
+        -380
+      ],
+      "size": [
+        500,
+        60
+      ],
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VAE",
+          "type": "VAE",
+          "slot_index": 0,
+          "links": [
+            211,
+            219
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.45",
+        "Node name for S&R": "VAELoader",
+        "models": []
+      },
+      "widgets_values": [
+        "wan_2.1_vae.safetensors"
+      ],
+      "color": "#233",
+      "bgcolor": "#355"
+    },
+    {
+      "id": 76,
+      "type": "UNETLoader",
+      "pos": [
+        -400,
+        -270
+      ],
+      "size": [
+        500,
+        82
+      ],
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "slot_index": 0,
+          "links": [
+            201
+          ]
+        }
+      ],
+      "title": "Load Diffusion Model (Low Noise)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.45",
+        "Node name for S&R": "UNETLoader",
+        "models": []
+      },
+      "widgets_values": [
+        "wan2.2_i2v_low_noise_14B_fp16.safetensors",
+        "default"
+      ],
+      "color": "#233",
+      "bgcolor": "#355"
+    },
+    {
+      "id": 75,
+      "type": "UNETLoader",
+      "pos": [
+        -400,
+        -140
+      ],
+      "size": [
+        500,
+        82
+      ],
+      "flags": {},
+      "order": 8,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "slot_index": 0,
+          "links": [
+            202
+          ]
+        }
+      ],
+      "title": "Load Diffusion Model (High Noise)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.45",
+        "Node name for S&R": "UNETLoader",
+        "models": []
+      },
+      "widgets_values": [
+        "wan2.2_i2v_high_noise_14B_fp16.safetensors",
+        "default"
+      ],
+      "color": "#233",
+      "bgcolor": "#355"
+    },
+    {
+      "id": 71,
+      "type": "CLIPLoader",
+      "pos": [
+        -400,
+        -10
+      ],
+      "size": [
+        500,
+        110
+      ],
+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "CLIP",
+          "type": "CLIP",
+          "slot_index": 0,
+          "links": [
+            141,
+            160
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.45",
+        "Node name for S&R": "CLIPLoader",
+        "models": []
+      },
+      "widgets_values": [
+        "umt5_xxl_fp16.safetensors",
+        "wan",
+        "default"
+      ],
+      "color": "#233",
+      "bgcolor": "#355"
+    },
+    {
+      "id": 118,
+      "type": "SaveImage",
+      "pos": [
+        1590,
+        -910
+      ],
+      "size": [
+        320,
+        350
+      ],
+      "flags": {},
+      "order": 24,
+      "mode": 4,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 197
+        }
+      ],
+      "outputs": [],
+      "title": "Save Image (RAW Frames)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.6.0"
+      },
+      "widgets_values": [
+        "%date:yyyy-MM-dd%-%date:hhmm%_%KSamplerHigh.noise_seed%/Frames_RAW"
+      ]
+    },
+    {
+      "id": 119,
+      "type": "SaveImage",
+      "pos": [
+        1940,
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+      ],
+      "size": [
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+      ],
+      "flags": {},
+      "order": 26,
+      "mode": 4,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 198
+        }
+      ],
+      "outputs": [],
+      "title": "Save Image (VFI Frames)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.6.0"
+      },
+      "widgets_values": [
+        "%date:yyyy-MM-dd%-%date:hhmm%_%KSamplerHigh.noise_seed%/Frames_VFI"
+      ]
+    },
+    {
+      "id": 114,
+      "type": "VHS_VideoCombine",
+      "pos": [
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+        -270
+      ],
+      "size": [
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+        334
+      ],
+      "flags": {},
+      "order": 22,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 193
+        },
+        {
+          "name": "audio",
+          "shape": 7,
+          "type": "AUDIO",
+          "link": null
+        },
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easy_wan22_i2v_v1.json

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+          "type": "CLIP",
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+        "models": []
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+      "widgets_values": [
+        "umt5_xxl_fp16.safetensors",
+        "wan",
+        "default"
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+          "type": "IMAGE",
+          "links": [
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+          ]
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null
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+      },
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+        "example.png",
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+      "id": 62,
+      "type": "MarkdownNote",
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+        -10
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+        570
+      ],
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+        "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n)\n  \nt2v = Text to video (prompt only)  \ni2v = Image to video (prompt and start image)  \nv2v = Video to video (prompt and reference video)  \nfflf = First Frame Last Frame Image to Video (prompt and two reference images)\n  \nWan 2.2 14B models use the Wan 2.1 VAE! Only the 5B model requires the Wan 2.2 VAE.\n\nIf you need to use quantized models (GGUFs), replace the \"Load Diffusion Model\" nodes with the corresponding \"Unet Loader (GGUF)\" node.\n\n**Diffusion Models**       \n- [Wan 2.2 ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/diffusion_models)  \n- [Wan 2.2 GGUF repository (quantized models)](https://huggingface.co/collections/QuantStack/wan22-ggufs)\n\n**LoRA**\n\n- [Lightx2v distill loras (official HF)](https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/tree/main)\n- [Lightx2v high noise lora build 1030](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22_Lightx2v/Wan_2_2_I2V_A14B_HIGH_lightx2v_4step_lora_v1030_rank_64_bf16.safetensors)\n- [Kijai Lightx2v loras](https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lightx2v)  \n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder**   \n- [T5XXL ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders)\n\n\nFile save location\n\n```\nComfyUI/\n├───📂 models/\n│   ├───📂 diffusion_models/\n│   │   ├─── wan2.2_i2v_low_noise_14B_f16.safetensors\n│   │   ├─── wan2.2_i2v_high_noise_14B_fp16.safetensors\n│   │   ├─── Wan2.2-I2V-A14B-HighNoise-Q6_K.gguf\n│   │   └─── Wan2.2-I2V-A14B-LowNoise-Q6_K.gguf\n│   ├───📂 loras/\n│   │   ├───wan2.2_i2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors\n│   │   └───wan2.2_i2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors\n│   ├───📂 text_encoders/\n│   │   └─── umt5_xxl_fp16.safetensors \n│   └───📂 vae/\n│       └── wan_2.1_vae.safetensors\n```\n"
+      ],
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+    },
+    {
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+      "type": "MarkdownNote",
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+      "flags": {},
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+      "title": "README",
+      "properties": {},
+      "widgets_values": [
+        "## This workflow has a few specialities:  \n  \n1) The Lightx2v distill loras are used during during both high and low noise passes, which drastically increases generation speed at the cost of less dynamic/detailed generations. Distill model/lora usage requires CFG 1.0, and works within 4-8 total steps. You should distribute the steps evenly across both phases.\n    \n2) The raw (16fps) video is not saved by default, but the frames are run through VFI to double the frame rate to 32fps, giving a much smoother playback. If you don't want that, enable \"save_output\" on the first Video Combine node and bypass VFI and the second one.  \n  \n3) In case you want to try to extend the video, the raw frames of either the 16fps or VFI video can be saved alongside the final video file. Enable/disable one of the Save Image nodes accordingly. It is recommended to use the RAW frames as those adhere to the Wan 16fps standard.\n  \n4) The video file and frames are by default saved into a subfolder that is named after the seed used by the high noise ksampler.  \n\n**Do NOT** use the distill loras together with a model that has them merged in! Read the model description to verify if that is the case or not.  \n\n**Shift**  \nUse 5.0 for t2v and 8.0 for i2v. Values within that range usually work well.\n  \n**Width & Height**  \nWan 2.2 is trained on ~1 megapixel, the default resolutions are  \n1280 x 720  \n720 x 1280  \n960 x 960  \nbut in general it is very flexible about the resolution and ratio so you can use lower values if you run out of vram.\n\n**Length**  \nDefault length of Wan 2.2 videos is 81 frames which corresponds to ~5 seconds of video. Usually any range between 61 and 121 frames works okay, anything further off results in incoherent output.  \n\n## Dual KSampler setup (MoE model)\nWan 2.2. is a Mixture of Experts model, which means it has one model that creates the basic video composition and motion from the empty latent, while a second model then refines its output to increase details and quality. This requires a specific setup:  \n  \n1) **Both** KSamplers must be set to the same total amount of steps!\n2) The first KSampler \"end_at_step\" should be at half the amount of total steps and \"return_leftover_noise\" must be enabled.\n3) The second KSampler \"start_at_step\" should be the same value as the first ones \"end_at_step\", while its own \"end_at_step\" must be equal to the total amount of steps.\n\n## _Distill parameter setup_\n  \n**Total steps**: minimum of 4, maximum of 8\n\n**CFG**: The distill loras require CFG to be 1.0.  \nThis disables the negative prompt!  \n  \n## _Normal parameter setup_\n\n(Bypass distill lora loader nodes)  \n  \n**Total steps**: ~20\n\n**CFG**: ~3.5  \nThis enables the negative prompt at the cost of increasing generation time x1.5, but is required for coherent results.\n"
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easy_wan22_t2v_v1.json

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+        "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n)\n  \nt2v = Text to video (prompt only)  \ni2v = Image to video (prompt and start image)  \nv2v = Video to video (prompt and reference video)  \nfflf = First Frame Last Frame Image to Video (prompt and two reference images)\n  \nWan 2.2 14B models use the Wan 2.1 VAE! Only the 5B model requires the Wan 2.2 VAE.\n\nIf you need to use quantized models (GGUFs), replace the \"Load Diffusion Model\" nodes with the corresponding \"Unet Loader (GGUF)\" node.\n\n**Diffusion Models**       \n- [Wan 2.2 ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/diffusion_models)  \n- [Wan 2.2 GGUF repository (quantized models)](https://huggingface.co/collections/QuantStack/wan22-ggufs)\n\n**LoRA**\n\n- [Lightx2v distill loras (official HF)](https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/tree/main)\n- [Lightx2v high noise lora build 1030](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22_Lightx2v/Wan_2_2_I2V_A14B_HIGH_lightx2v_4step_lora_v1030_rank_64_bf16.safetensors)\n- [Kijai Lightx2v loras](https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lightx2v)  \n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder**   \n- [T5XXL ComfyUI repository (fp16 & fp8_scaled)](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders)\n\n\nFile save location\n\n```\nComfyUI/\n├───📂 models/\n│   ├───📂 diffusion_models/\n│   │   ├─── wan2.2_i2v_low_noise_14B_f16.safetensors\n│   │   ├─── wan2.2_i2v_high_noise_14B_fp16.safetensors\n│   │   ├─── Wan2.2-I2V-A14B-HighNoise-Q6_K.gguf\n│   │   └─── Wan2.2-I2V-A14B-LowNoise-Q6_K.gguf\n│   ├───📂 loras/\n│   │   ├───wan2.2_i2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors\n│   │   └───wan2.2_i2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors\n│   ├───📂 text_encoders/\n│   │   └─── umt5_xxl_fp16.safetensors \n│   └───📂 vae/\n│       └── wan_2.1_vae.safetensors\n```\n"
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+      "bgcolor": "#653"
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+        "## This workflow has a few specialities:  \n  \n1) The Lightx2v distill loras are used during during both high and low noise passes, which drastically increases generation speed at the cost of less dynamic/detailed generations. Distill model/lora usage requires CFG 1.0, and works within 4-8 total steps. You should distribute the steps evenly across both phases.\n    \n2) The raw (16fps) video is not saved by default, but the frames are run through VFI to double the frame rate to 32fps, giving a much smoother playback. If you don't want that, enable \"save_output\" on the first Video Combine node and bypass VFI and the second one.  \n  \n3) In case you want to try to extend the video, the raw frames of either the 16fps or VFI video can be saved alongside the final video file. Enable/disable one of the Save Image nodes accordingly. It is recommended to use the RAW frames as those adhere to the Wan 16fps standard.\n  \n4) The video file and frames are by default saved into a subfolder that is named after the seed used by the high noise ksampler.  \n\n**Do NOT** use the distill loras together with a model that has them merged in! Read the model description to verify if that is the case or not.  \n\n**Shift**  \nUse 5.0 for t2v and 8.0 for i2v. Values within that range usually work well.\n  \n**Width & Height**  \nWan 2.2 is trained on ~1 megapixel, the default resolutions are  \n1280 x 720  \n720 x 1280  \n960 x 960  \nbut in general it is very flexible about the resolution and ratio so you can use lower values if you run out of vram.\n\n**Length**  \nDefault length of Wan 2.2 videos is 81 frames which corresponds to ~5 seconds of video. Usually any range between 61 and 121 frames works okay, anything further off results in incoherent output.  \n\n## Dual KSampler setup (MoE model)\nWan 2.2. is a Mixture of Experts model, which means it has one model that creates the basic video composition and motion from the empty latent, while a second model then refines its output to increase details and quality. This requires a specific setup:  \n  \n1) **Both** KSamplers must be set to the same total amount of steps!\n2) The first KSampler \"end_at_step\" should be at half the amount of total steps and \"return_leftover_noise\" must be enabled.\n3) The second KSampler \"start_at_step\" should be the same value as the first ones \"end_at_step\", while its own \"end_at_step\" must be equal to the total amount of steps.\n\n## _Distill parameter setup_\n  \n**Total steps**: minimum of 4, maximum of 8\n\n**CFG**: The distill loras require CFG to be 1.0.  \nThis disables the negative prompt!  \n  \n## _Normal parameter setup_\n\n(Bypass distill lora loader nodes)  \n  \n**Total steps**: ~20\n\n**CFG**: ~3.5  \nThis enables the negative prompt at the cost of increasing generation time x1.5, but is required for coherent results.\n"
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