# Wan_2.2_ComfyUI_Repackaged by Comfy Org: Open-Weight Model Source: https://savrn.com/models/wan-2-2-comfyui-repackaged Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- ## SAVRN's Notes on Wan_2.2_ComfyUI_Repackaged Plan the disk before the GPU. This Comfy Org repackaging of the Wan 2.2 image-to-video line runs to 45 files and 728.7 GB of safetensors, with no parameter count and no memory table because there is no single model to size — the bundle spans 5B builds alongside A14B and 14B builds such as I2V-A14B, S2V-14B and Animate-14B. Pull only the variant your workflow needs and size the card for that. Apache 2.0 applies, open weights, no gate. The upstream relations point to nvidia/ChronoEdit-14B-Diffusers, Wan-AI/Wan2.2-Animate-14B and alibaba-pai/Wan2.2-Fun-A14B-Control-Camera, so read the card for the specific build you download rather than trusting the bundle name. First published 2025-07-27, last updated 2026-09-23 — pin revisions, because a bundle this large redownloads slowly. At 6.2M downloads a month, this repack is how most ComfyUI users actually get Wan 2.2. SAVRN Research ## Model Card By Comfy Org, published under apache-2.0, revision ee6f4a40737a. ### Wan 2.2 Repackaged model files for ComfyUI. Original model repository: - https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers - https://huggingface.co/Wan-AI/Wan2.2-Animate-14B - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control-Camera - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control - https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-Control - https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-InP - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-InP - https://huggingface.co/alibaba-pai/Wan2.2-VACE-Fun-A14B - https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B - https://huggingface.co/Wan-AI/Wan2.2-S2V-14B - https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B - https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B - https://huggingface.co/lightx2v/Wan2.2-Distill-Loras Place the files in the following folders: [Read the full model card (292 words)](https://savrn.com/models/wan-2-2-comfyui-repackaged/card) ## Identity and Version Repository Comfy-Org/Wan_2.2_ComfyUI_Repackaged Publisher Comfy Org Task Image to video Modality Other Library diffusion-single-file Parameters Not stated by the source Languages Not stated by the source Revision ee6f4a40737a995bf5818954cfce6d59443b0f04 First published 2025-07-27 Last updated 2026-09-23 ## Files and Weights 45 files, 728.7 GB in total. The weights are 43 files totalling 728.7 GB in safetensors. Weights43 files · 728.7 GB Documentation1 file · 6.0 KB Repository1 file · 1.5 KB Every file | File | Type | Size | SHA-256 | | --- | --- | --- | --- | | split_files/audio_encoders/wav2vec2_large_english_fp16.safetensors | Weights | 631.0 MB | f0017a43ea57 | | split_files/diffusion_models/chrono_edit_14B_fp16.safetensors | Weights | 32.8 GB | 3294a5795e6c | | split_files/diffusion_models/wan2.2_animate_14B_bf16.safetensors | Weights | 34.5 GB | 7d37cb012048 | | split_files/diffusion_models/wan2.2_animate_14B_int8_convrot.safetensors | Weights | 18.4 GB | 419aa0b3d907 | | split_files/diffusion_models/wan2.2_fun_camera_high_noise_14B_bf16.safetensors | Weights | 29.6 GB | b242a310d161 | | split_files/diffusion_models/wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors | Weights | 15.3 GB | 89a99cb5ab29 | | split_files/diffusion_models/wan2.2_fun_camera_low_noise_14B_bf16.safetensors | Weights | 29.6 GB | 277a7b0374f9 | | split_files/diffusion_models/wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors | Weights | 15.3 GB | a2b7b361e3fa | | split_files/diffusion_models/wan2.2_fun_control_5B_bf16.safetensors | Weights | 10.0 GB | ace4718a7c87 | | split_files/diffusion_models/wan2.2_fun_control_high_noise_14B_bf16.safetensors | Weights | 28.6 GB | e4be07ca25d6 | | split_files/diffusion_models/wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors | Weights | 14.3 GB | aa2f6b6f4cfc | | split_files/diffusion_models/wan2.2_fun_control_low_noise_14B_bf16.safetensors | Weights | 28.6 GB | d82bc21cd703 | | split_files/diffusion_models/wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors | Weights | 14.3 GB | 0f83c7b1cd6d | | split_files/diffusion_models/wan2.2_fun_inpaint_5B_bf16.safetensors | Weights | 10.0 GB | 680a45b769e2 | | split_files/diffusion_models/wan2.2_fun_inpaint_high_noise_14B_bf16.safetensors | Weights | 28.6 GB | c5629ded970a | | split_files/diffusion_models/wan2.2_fun_inpaint_high_noise_14B_fp8_scaled.safetensors | Weights | 14.3 GB | 6106c137d8a9 | | split_files/diffusion_models/wan2.2_fun_inpaint_low_noise_14B_bf16.safetensors | Weights | 28.6 GB | 67408d1a1a57 | | split_files/diffusion_models/wan2.2_fun_inpaint_low_noise_14B_fp8_scaled.safetensors | Weights | 14.3 GB | a3981f3e0f79 | | split_files/diffusion_models/wan2.2_fun_vace_high_noise_14B_bf16.safetensors | Weights | 34.7 GB | 66c61b736c56 | | split_files/diffusion_models/wan2.2_fun_vace_high_noise_14B_fp8_scaled.safetensors | Weights | 17.3 GB | 23130f30207f | | split_files/diffusion_models/wan2.2_fun_vace_low_noise_14B_bf16.safetensors | Weights | 34.7 GB | 0bf791adfb83 | | split_files/diffusion_models/wan2.2_fun_vace_low_noise_14B_fp8_scaled.safetensors | Weights | 17.3 GB | ca55a5cc543e | | split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp16.safetensors | Weights | 28.6 GB | c21c21efa368 | | split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors | Weights | 14.3 GB | 6122e79d55e0 | | split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp16.safetensors | Weights | 28.6 GB | edb89340c8a6 | | split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors | Weights | 14.3 GB | 5471a457b6ac | | split_files/diffusion_models/wan2.2_s2v_14B_bf16.safetensors | Weights | 32.6 GB | a61c103c1e01 | | split_files/diffusion_models/wan2.2_s2v_14B_fp8_scaled.safetensors | Weights | 16.4 GB | 140e75af5534 | | split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp16.safetensors | Weights | 28.6 GB | c793e1515320 | | split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors | Weights | 14.3 GB | cad711ae211c | | split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp16.safetensors | Weights | 28.6 GB | 431d1613ffa8 | | split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors | Weights | 14.3 GB | e71b96d7c82e | | split_files/diffusion_models/wan2.2_ti2v_5B_fp16.safetensors | Weights | 10.0 GB | 456f901338bd | | split_files/loras/chronoedit_distill_lora.safetensors | Weights | 375.9 MB | 0af09f4b30ff | | split_files/loras/wan2.2_animate_14B_relight_lora_bf16.safetensors | Weights | 1.4 GB | 5f4b6b9d3bc7 | | split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors | Weights | 1.2 GB | d176c808d6fc | | split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors | Weights | 1.2 GB | 024f21de095b | | split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors | Weights | 1.2 GB | 698321cb86bd | | split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors | Weights | 1.2 GB | ec95216e614b | | split_files/text_encoders/umt5_xxl_fp16.safetensors | Weights | 11.4 GB | 7b8850f1961e | | split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors | Weights | 6.7 GB | c3355d30191f | | split_files/vae/wan2.2_vae.safetensors | Weights | 1.4 GB | e40321bd36b9 | | split_files/vae/wan_2.1_vae.safetensors | Weights | 253.8 MB | 2fc39d31359a | | README.md | Documentation | 6.0 KB | — | | .gitattributes | Repository | 1.5 KB | — | ## License and Download License apache-2.0 Access Open weights, no gate Download size 728.7 GB [Download from Comfy Org](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged) Released by Comfy Org through its official repository on Hugging Face. [Read the license](https://www.apache.org/licenses/LICENSE-2.0). ## Built From - Derived from Wan-AI/Wan2.2-Animate-14B ## Memory Requirements | Precision | Weights in memory | | --- | --- | | As published | 728.7 GB | Weights only, from the published parameter count; the key-value cache and runtime add to this. ## Questions About Wan_2.2_ComfyUI_Repackaged ### Can I use Wan_2.2_ComfyUI_Repackaged commercially? Yes. Wan_2.2_ComfyUI_Repackaged is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors. ## Similar Models Model · Image to video ### [Wan-2.2](https://savrn.com/models/wan-2-2) [Comfy Org](https://savrn.com/model-publishers/comfy-org) Repackaged model files for ComfyUI. - https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers - https://huggingface.co/Wan-AI/Wan2.2-Animate-14B - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control-Camera - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control - https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-Control - https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-InP - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-InP - https://huggingface.co/alibaba-pai/Wan2.2-VACE-Fun-A14B - https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B - https://huggingface.co/Wan-AI/Wan2.2-S2V-14B - https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B - https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B… Open weights apache-2.0 diffusion-single-file [View model](https://savrn.com/models/wan-2-2) Model · Image to video ### [LTX-2.5](https://savrn.com/models/ltx-2-5) [LTX.io](https://savrn.com/model-publishers/lightricks) LTX-2.5 is an open world model with open weights, built for local execution and fine-tuning. Its established use is generating synchronized, high-fidelity video and audio from text, image, and video inputs; applicability to emerging domains such as robotics and physical AI is developing. Full control and customization — self-host on your own infrastructure. No per-generation billing, no per-seat lock-in, no forced API dependency. Revenue is measured across the whole entity, including subsidiaries and affiliates under common control. The full, binding terms live in LICENSE. - Native multishot generation — generate connected scenes in a single pass: multiple shots that hold character… Access requested at publisher other diffusion-single-file [View model](https://savrn.com/models/ltx-2-5) Model · Image to video ### [LTX-2.5](https://savrn.com/models/ltx-2-5-2) [Comfyicu](https://savrn.com/model-publishers/comfyicu) LTX-2.5 is an open world model with open weights, built for local execution and fine-tuning. Its established use is generating synchronized, high-fidelity video and audio from text, image, and video inputs; applicability to emerging domains such as robotics and physical AI is developing. Full control and customization — self-host on your own infrastructure. No per-generation billing, no per-seat lock-in, no forced API dependency. Revenue is measured across the whole entity, including subsidiaries and affiliates under common control. The full, binding terms live in LICENSE. - Native multishot generation — generate connected scenes in a single pass: multiple shots that hold character… Open weights other diffusion-single-file [View model](https://savrn.com/models/ltx-2-5-2) Model · Image to video ### [MiniMax-H3-GGUF](https://savrn.com/models/minimax-h3-gguf) [Jay](https://savrn.com/model-publishers/abiray) This repository (Abiray/MiniMax-H3-GGUF) provides GGUF quantized versions and necessary component files for the MiniMax H3 model. MiniMax H3 is a general-purpose, omni-modal generative system that supports unified understanding of multimodal contexts composed of text, images, video, and audio. It can generate video with native stereo audio at resolutions up to 2K and durations of up to 15 seconds. If you are looking for a smaller model with the same great quality that fits better on consumer-tier GPUs, please check out the MiniMax-H3-Pruned-GGUF repository. The pruned architecture is compressed down to 8.9 GB – 21.6 GB, bringing MiniMax H3 execution directly to consumer hardware. This… Open weights other [View model](https://savrn.com/models/minimax-h3-gguf) Model · Image to video ### [LTX-2.3](https://savrn.com/models/ltx-2-3) [LTX.io](https://savrn.com/model-publishers/lightricks) This model card focuses on the LTX-2.3 model, which is a significant update to the LTX-2 model with improved audio and visual quality as well as enhanced prompt adherence. LTX-2 was presented in the paper LTX-2: Efficient Joint Audio-Visual Foundation Model. If you want to dive in right to the code - it is available here. LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution. LTX-2.3 is accessible right away via the API Playground. You can use the models - full, distilled, upscalers and any… Open weights other diffusers [View model](https://savrn.com/models/ltx-2-3) Model · Image to video ### [LTX-2.3-fp8](https://savrn.com/models/ltx-2-3-fp8) [LTX.io](https://savrn.com/model-publishers/lightricks) This is the FP8 versions of the LTX-2.3 model. All information below is derived from the base model. This model card focuses on the LTX-2.3 model, which is a significant update to the LTX-2 model with improved audio and visual quality as well as enhanced prompt adherence. LTX-2 was presented in the paper LTX-2: Efficient Joint Audio-Visual Foundation Model. If you want to dive in right to the code - it is available here. LTX-2.3 is a DiT-based audio-video foundation model designed to generate synchronized video and audio within a single model. It brings together the core building blocks of modern video generation, with open weights and a focus on practical, local execution. LTX-2.3 is… Open weights other diffusers [View model](https://savrn.com/models/ltx-2-3-fp8) ## Comfy Org [All models and datasets](https://savrn.com/model-publishers/comfy-org) ## Versions - [ee6f4a40737a](https://savrn.com/models/wan-2-2-comfyui-repackaged/versions/ee6f4a40737a) · current 2026-10-22 - [c4f60d30c55a](https://savrn.com/models/wan-2-2-comfyui-repackaged/versions/c4f60d30c55a) 2026-09-23 ## Explore More - [All image to video models](https://savrn.com/models/tasks/image-to-video) - [All models under apache-2.0](https://savrn.com/models/licenses/apache-2-0) - [Model comparisons](https://savrn.com/models/comparisons) - [The model directory](https://savrn.com/models) - [Open model prices by host](https://savrn.com/ai-index/pricing/open-models) ## Source - Repository metadata, read 2026-09-24. - [Comfy Org website](https://comfy.org/) - [Hugging Face record](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged) - [How the hub is built](https://savrn.com/model-hub/methodology)