Model reference · open weights

Wan_2.2_ComfyUI_Repackaged

Video Comfy-Org Image→video 1 build Open weights 5M dl/mo

Wan_2.2_ComfyUI_Repackaged is an open-weight video model from Comfy-Org. Wan_2.2_ComfyUI_Repackaged (BF16) weighs 729 GB; it needs more than the reference configurations below.

  • Wan_2.2_ComfyUI_Repackaged is a collection of model files repackaged by Comfy-Org for use with ComfyUI.
  • The models support tasks including image-to-video, text-to-video, and audio-driven video generation, with variants available in 5B and 14B sizes.
  • The repository is licensed under apache-2.0.

Summary of the Comfy-Org/Wan_2.2_ComfyUI_Repackaged model card, 2026-10-01

What it is

Released byComfy-Org
Released2025-07-27
VRAM729 GB for the weights

What it runs on

Memory and cards for Wan_2.2_ComfyUI_Repackaged (BF16)

729 GBweights, file size
537 MBruntime overhead
CardWeightsMemory
RTX 3060 12 GB … B200 180 GBdoes not fit

From the model card

What Comfy-Org says about Wan_2.2_ComfyUI_Repackaged

Read the model card

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:

📂 ComfyUI/
├── 📂 models/
│   ├── 📂 audio_encoders/
│   │   └── wav2vec2_large_english_fp16.safetensors
│   ├── 📂 diffusion_models/
│   │   ├── chrono_edit_14B_fp16.safetensors
│   │   ├── wan2.2_animate_14B_bf16.safetensors
│   │   ├── wan2.2_animate_14B_int8_convrot.safetensors
│   │   ├── wan2.2_fun_camera_high_noise_14B_bf16.safetensors
│   │   ├── wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_fun_camera_low_noise_14B_bf16.safetensors
│   │   ├── wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_fun_control_5B_bf16.safetensors
│   │   ├── wan2.2_fun_control_high_noise_14B_bf16.safetensors
│   │   ├── wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_fun_control_low_noise_14B_bf16.safetensors
│   │   ├── wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_fun_inpaint_5B_bf16.safetensors
│   │   ├── wan2.2_fun_inpaint_high_noise_14B_bf16.safetensors
│   │   ├── wan2.2_fun_inpaint_high_noise_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_fun_inpaint_low_noise_14B_bf16.safetensors
│   │   ├── wan2.2_fun_inpaint_low_noise_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_fun_vace_high_noise_14B_bf16.safetensors
│   │   ├── wan2.2_fun_vace_high_noise_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_fun_vace_low_noise_14B_bf16.safetensors
│   │   ├── wan2.2_fun_vace_low_noise_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_i2v_high_noise_14B_fp16.safetensors
│   │   ├── wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_i2v_low_noise_14B_fp16.safetensors
│   │   ├── wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_s2v_14B_bf16.safetensors
│   │   ├── wan2.2_s2v_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_t2v_high_noise_14B_fp16.safetensors
│   │   ├── wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors
│   │   ├── wan2.2_t2v_low_noise_14B_fp16.safetensors
│   │   ├── wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors
│   │   └── wan2.2_ti2v_5B_fp16.safetensors
│   ├── 📂 loras/
│   │   ├── chronoedit_distill_lora.safetensors
│   │   ├── wan2.2_animate_14B_relight_lora_bf16.safetensors
│   │   ├── wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors
│   │   ├── wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors
│   │   ├── wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors
│   │   └── wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors
│   ├── 📂 text_encoders/
│   │   ├── umt5_xxl_fp16.safetensors
│   │   └── umt5_xxl_fp8_e4m3fn_scaled.safetensors
│   ├── 📂 vae/
│   │   ├── wan2.2_vae.safetensors
│   │   └── wan_2.1_vae.safetensors

Examples: https://comfyanonymous.github.io/ComfyUI_examples/wan22/

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How video models work

Prompt / imagestart pointTemporal diffusionframes over timeVideoMP4 clipA video model generates a sequence of coherent frames from your prompt or a starting image.

Running it yourself

Run it on a rented GPU

Rent a machine by the hour. ComfyUI is installed on it. Open ComfyUI through the tunnel, then Templates → Wan 2.2 14B Image to Video: it loads ComfyUI's own build of this model, the files above.

# on your rented machine (the ssh line is on its page in the console)
# get REPO FILE FOLDER: one file into /workspace/models/FOLDER, where ComfyUI loads it from
get() { hf download "$1" "$2" --local-dir /workspace/hf-files && mkdir -p "/workspace/models/$3" && mv "/workspace/hf-files/$2" "/workspace/models/$3/$4"; }

# the files of the template “Wan 2.2 14B Image to Video” (35.4 GB)
get Comfy-Org/Wan_2.2_ComfyUI_Repackaged split_files/vae/wan_2.1_vae.safetensors vae
get Comfy-Org/Wan_2.1_ComfyUI_repackaged split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors text_encoders
get Comfy-Org/Wan_2.2_ComfyUI_Repackaged split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors diffusion_models
get Comfy-Org/Wan_2.2_ComfyUI_Repackaged split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors diffusion_models
get Comfy-Org/Wan_2.2_ComfyUI_Repackaged split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors loras
get Comfy-Org/Wan_2.2_ComfyUI_Repackaged split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors loras

start-comfyui
Renting a GPU: connect, tunnels, ComfyUI
# on your computer, in a second terminal: ComfyUI in your browser at http://localhost:8188
# HOST and PORT are your machine's, from its page in the console
ssh -L 8188:localhost:8188 dev@HOST -p PORT
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