ComfyUI Node: Auto Download ALL WAN Models from Kijai's repo

Auto Download ALL WAN Models from Kijai's repo:

The WANModelsAutoDownload node is designed to streamline the process of downloading a comprehensive set of WAN models from Kijai's repository on Hugging Face. This node is particularly beneficial for AI artists and developers who require a variety of pre-trained models for their creative projects. By automating the download process, it saves time and effort, ensuring that you have access to the latest models without manually searching and downloading each one. The node's primary goal is to facilitate easy access to a wide range of models, enhancing your workflow efficiency and allowing you to focus more on the creative aspects of your projects.

Auto Download ALL WAN Models from Kijai's repo 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 impacts the node's execution by determining if this specific model is included in the download process. The parameter is a boolean, where True initiates the download and False skips it.

Wan2_1_Fun_InP_14B_fp8_e4m3fn

This parameter controls the download of the Wan2.1-Fun-InP-14B_fp8_e4m3fn model. Similar to the previous parameter, it is a boolean that dictates whether this model is downloaded (True) or not (False).

Wan2_1_I2V_14B_480P_fp8_e4m3fn

This parameter determines if the Wan2_1-I2V-14B-480P_fp8_e4m3fn model should be downloaded. It is a boolean parameter, with True enabling the download and False disabling it.

Wan2_1_I2V_14B_480P_fp8_e5m2

This parameter indicates whether to download the Wan2_1-I2V-14B-480P_fp8_e5m2 model. It functions as a boolean, where True means the model will be downloaded and False means it will not.

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 parameter, with True initiating the download and False skipping it.

Wan2_1_I2V_14B_720P_fp8_e5m2

This parameter controls the download of the Wan2_1-I2V-14B-720P_fp8_e5m2 model. It is a boolean, where True enables the download and False disables it.

Wan2_1_T2V_14B_fp8_e4m3fn

This parameter determines if the Wan2_1-T2V-14B_fp8_e4m3fn model should be downloaded. It is a boolean parameter, with True enabling the download and False disabling it.

Wan2_1_T2V_14B_fp8_e5m2

This parameter indicates whether to download the Wan2_1-T2V-14B_fp8_e5m2 model. It functions as a boolean, where True means the model will be downloaded and False means it will not.

Wan2_1_T2V_1_3B_bf16

This parameter specifies the download of the Wan2_1-T2V-1.3B_bf16 model. It is a boolean parameter, with True initiating the download and False skipping it.

Wan2_1_T2V_1_3B_fp32

This parameter controls the download of the Wan2_1-T2V-1.3B_fp32 model. It is a boolean, where True enables the download and False disables it.

Wan2_1_T2V_1_3B_fp8_e4m3fn

This parameter determines if the Wan2_1-T2V-1.3B_fp8_e4m3fn model should be downloaded. It is a boolean parameter, with True enabling the download and False disabling it.

Wan2_1_VAE_bf16

This parameter indicates whether to download the Wan2_1-VAE_bf16 model. It functions as a boolean, where True means the model will be downloaded and False means it will not.

Wan2_1_VAE_fp32

This parameter specifies the download of the Wan2_1-VAE_fp32 model. It is a boolean parameter, with True initiating the download and False skipping it.

open_clip_xlm_roberta_large_vit_huge_14_visual_fp16

This parameter controls the download of the open_clip_xlm_roberta_large_vit_huge_14_visual_fp16 model. It is a boolean, where True enables the download and False disables it.

open_clip_xlm_roberta_large_vit_huge_14_visual_fp32

This parameter determines if the open_clip_xlm_roberta_large_vit_huge_14_visual_fp32 model should be downloaded. It is a boolean parameter, with True enabling the download and False disabling it.

taew2_1

This parameter indicates whether to download the taew2_1 model. It functions as a boolean, where True means the model will be downloaded and False means it will not.

umt5_xxl_enc_bf16

This parameter specifies the download of the umt5_xxl_enc_bf16 model. It is a boolean parameter, with True initiating the download and False skipping it.

umt5_xxl_enc_fp8_e4m3fn

This parameter controls the download of the umt5_xxl_enc_fp8_e4m3fn model. It is a boolean, where True enables the download and False disables it.

Auto Download ALL WAN Models from Kijai's repo Output Parameters:

path

The output parameter path provides the local directory path where the downloaded models are stored. This is crucial for accessing the models in your workflow, as it allows you to easily locate and utilize the models in your projects. The path is returned as a string, indicating the success of the download process and the location of the files.

Auto Download ALL WAN Models from Kijai's repo Usage Tips:

• Ensure that you have a stable internet connection before initiating the download process to avoid interruptions.
• Verify the available storage space on your local machine to accommodate the downloaded models, as they can be large in size.
• Use the node in conjunction with other nodes in your workflow to automate the model setup process, saving time and effort.

Auto Download ALL WAN Models from Kijai's repo 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 models again.

"Insufficient storage space"

• Explanation: This error indicates that there is not enough storage space on your local machine to save the downloaded models.
• Solution: Free up some space on your device or choose a different location with sufficient storage capacity.

"Model not found in repository"

• Explanation: This error occurs when the specified model is not available in the repository.
• Solution: Verify the model name and ensure it is correctly specified. Check the repository for the latest model names and updates.