ComfyUI > Nodes > ComfyUI_AutoDownloadModels > Auto Download ALL WAN Models from Comfy-Org/Wan_2.1_ComfyUI_repackaged

ComfyUI Node: Auto Download ALL WAN Models from Comfy-Org/Wan_2.1_ComfyUI_repackaged

Class Name

WANALMAMAModelsAutoDownload

Category
DownloadModel
Author
AIExplorer25 (Account age: 4006days)
Extension
ComfyUI_AutoDownloadModels
Latest Updated
2025-04-05
Github Stars
0.02K

How to Install ComfyUI_AutoDownloadModels

Install this extension via the ComfyUI Manager by searching for ComfyUI_AutoDownloadModels
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI_AutoDownloadModels in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Auto Download ALL WAN Models from Comfy-Org/Wan_2.1_ComfyUI_repackaged Description

Automates downloading ALIMAMA's WAN models for AI projects, enhancing workflow efficiency.

Auto Download ALL WAN Models from Comfy-Org/Wan_2.1_ComfyUI_repackaged:

The WANALMAMAModelsAutoDownload node is designed to streamline the process of downloading a comprehensive set of models from the Comfy-Org/Wan_2.1_ComfyUI_repackaged repository on Hugging Face. This node is particularly beneficial for AI artists and developers who require a wide array of models for their creative projects, as it automates the retrieval of these resources, saving time and effort. By utilizing this node, you can ensure that you have access to the latest versions of ALIMAMA's WAN models, which are essential for various AI-driven tasks such as video processing, image-to-video transformations, and text-to-video generation. The node's primary goal is to facilitate easy access to these models, thereby enhancing your workflow efficiency and enabling you to focus more on the creative aspects of your projects.

Auto Download ALL WAN Models from Comfy-Org/Wan_2.1_ComfyUI_repackaged Input Parameters:

Wan2_1_Fun_Control_14B_fp8_e4m3fn

This parameter specifies whether to download the Wan2.1-Fun-Control-14B_fp8_e4m3fn model. It is a boolean flag that, when set to true, triggers the download of this specific model, which is used for advanced control in video processing tasks. The default value is false.

Wan2_1_Fun_InP_14B_fp8_e4m3fn

This parameter indicates whether to download the Wan2.1-Fun-InP-14B_fp8_e4m3fn model. It is a boolean flag that, when enabled, initiates the download of this model, which is useful for inpainting tasks in video editing. The default value is false.

Wan2_1_I2V_14B_480P_fp8_e4m3fn

This parameter controls the download of the Wan2_1-I2V-14B-480P_fp8_e4m3fn model. It is a boolean flag that, when set to true, downloads this model, which is optimized for image-to-video conversion at 480P resolution. The default value is false.

Wan2_1_I2V_14B_480P_fp8_e5m2

This parameter determines whether to download the Wan2_1-I2V-14B-480P_fp8_e5m2 model. It is a boolean flag that, when activated, downloads this model, which provides enhanced precision for image-to-video tasks at 480P. The default value is false.

Wan2_1_I2V_14B_720P_fp8_e4m3fn

This parameter specifies the download of the Wan2_1-I2V-14B-720P_fp8_e4m3fn model. It is a boolean flag that, when true, downloads this model, which is tailored for high-quality image-to-video conversion at 720P resolution. The default value is false.

Wan2_1_I2V_14B_720P_fp8_e5m2

This parameter indicates whether to download the Wan2_1-I2V-14B-720P_fp8_e5m2 model. It is a boolean flag that, when enabled, downloads this model, offering superior precision for 720P image-to-video tasks. The default value is false.

Wan2_1_T2V_14B_fp8_e4m3fn

This parameter controls the download of the Wan2_1-T2V-14B_fp8_e4m3fn model. It is a boolean flag that, when set to true, downloads this model, which is designed for text-to-video generation. The default value is false.

Wan2_1_T2V_14B_fp8_e5m2

This parameter determines whether to download the Wan2_1-T2V-14B_fp8_e5m2 model. It is a boolean flag that, when activated, downloads this model, providing enhanced precision for text-to-video tasks. The default value is false.

Wan2_1_T2V_1_3B_bf16

This parameter specifies the download of the Wan2_1-T2V-1_3B_bf16 model. It is a boolean flag that, when true, downloads this model, which is optimized for efficient text-to-video generation. The default value is false.

Wan2_1_T2V_1_3B_fp32

This parameter indicates whether to download the Wan2_1-T2V-1_3B_fp32 model. It is a boolean flag that, when enabled, downloads this model, offering high precision for text-to-video tasks. The default value is false.

Wan2_1_T2V_1_3B_fp8_e4m3fn

This parameter controls the download of the Wan2_1-T2V-1_3B_fp8_e4m3fn model. It is a boolean flag that, when set to true, downloads this model, which is designed for efficient text-to-video generation. The default value is false.

Wan2_1_VAE_bf16

This parameter determines whether to download the Wan2_1_VAE_bf16 model. It is a boolean flag that, when activated, downloads this model, which is used for variational autoencoding tasks. The default value is false.

Wan2_1_VAE_fp32

This parameter specifies the download of the Wan2_1_VAE_fp32 model. It is a boolean flag that, when true, downloads this model, offering high precision for variational autoencoding tasks. The default value is false.

open_clip_xlm_roberta_large_vit_huge_14_visual_fp16

This parameter indicates whether to download the open_clip_xlm_roberta_large_vit_huge_14_visual_fp16 model. It is a boolean flag that, when enabled, downloads this model, which is used for visual tasks involving large-scale language models. The default value is false.

open_clip_xlm_roberta_large_vit_huge_14_visual_fp32

This parameter controls the download of the open_clip_xlm_roberta_large_vit_huge_14_visual_fp32 model. It is a boolean flag that, when set to true, downloads this model, offering high precision for visual tasks with large-scale language models. The default value is false.

taew2_1

This parameter determines whether to download the taew2_1 model. It is a boolean flag that, when activated, downloads this model, which is used for specific AI-driven tasks. The default value is false.

umt5_xxl_enc_bf16

This parameter specifies the download of the umt5_xxl_enc_bf16 model. It is a boolean flag that, when true, downloads this model, which is optimized for large-scale text encoding tasks. The default value is false.

umt5_xxl_enc_fp8_e4m3fn

This parameter indicates whether to download the umt5_xxl_enc_fp8_e4m3fn model. It is a boolean flag that, when enabled, downloads this model, offering efficient encoding for large-scale text tasks. The default value is false.

Auto Download ALL WAN Models from Comfy-Org/Wan_2.1_ComfyUI_repackaged Output Parameters:

path

The output parameter path provides the file path where the downloaded model is stored. This is crucial for accessing the model files within your local environment, allowing you to integrate them into your AI projects seamlessly. The path is returned as a string, indicating the location of the downloaded model on your system.

Auto Download ALL WAN Models from Comfy-Org/Wan_2.1_ComfyUI_repackaged Usage Tips:

  • Ensure that you have a stable internet connection before initiating the download process to avoid interruptions.
  • Verify that you have sufficient storage space in the specified local directory to accommodate the downloaded models.
  • Use the node to download only the models you need for your current project to optimize storage and reduce download time.

Auto Download ALL WAN Models from Comfy-Org/Wan_2.1_ComfyUI_repackaged Common Errors and Solutions:

"Download failed: Network error"

  • Explanation: This error occurs when there is a disruption in the internet connection during the download process.
  • Solution: Check your internet connection and try downloading the model again.

"Insufficient storage space"

  • Explanation: This error indicates that there is not enough space in the specified directory to store the downloaded model.
  • Solution: Free up some space on your storage device or choose a different directory with more available space.

"Invalid model parameter"

  • Explanation: This error occurs when an incorrect or unsupported model parameter is specified.
  • Solution: Double-check the model parameters and ensure they are correctly specified according to the node's documentation.

Auto Download ALL WAN Models from Comfy-Org/Wan_2.1_ComfyUI_repackaged Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI_AutoDownloadModels
RunComfy
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RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.