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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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| "## 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" | |
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