ComfyUI Node: Auto Download ALL WAN Models fromalibaba-pai/Wan2.1-Fun-1.3B-Control

Auto Download ALL WAN Models fromalibaba-pai/Wan2.1-Fun-1.3B-Control:

The ALIMAMAFUNCONTROLWANModelsAutoDownload node is designed to streamline the process of downloading a comprehensive set of WAN models from the alibaba-pai/Wan2.1-Fun-1.3B-Control repository on Hugging Face. This node is particularly beneficial for AI artists and developers who require a wide array of models for various creative and technical applications. 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 function is to facilitate easy access to these models, which can be used for tasks such as video generation, image-to-video conversion, and more, thereby enhancing your creative workflow.

Auto Download ALL WAN Models fromalibaba-pai/Wan2.1-Fun-1.3B-Control Input Parameters:

Wan2_1_Fun_Control_14B_fp8_e4m3fn

This parameter allows you to select whether to download the Wan2_1_Fun_Control_14B_fp8_e4m3fn model. It is a boolean value, where selecting true initiates the download of this specific model. This model is optimized for control tasks and is part of the larger suite of models available in the repository.

Wan2_1_Fun_InP_14B_fp8_e4m3fn

This parameter enables the download of the Wan2_1_Fun_InP_14B_fp8_e4m3fn model. It is a boolean option, and setting it to true will download the model, which is tailored for inpainting tasks, providing enhanced capabilities for image restoration and editing.

Wan2_1_I2V_14B_480P_fp8_e4m3fn

This parameter controls the download of the Wan2_1_I2V_14B_480P_fp8_e4m3fn model. As a boolean parameter, selecting true will download this model, which is designed for image-to-video conversion at 480P resolution, offering efficient processing for lower-resolution outputs.

Wan2_1_I2V_14B_480P_fp8_e5m2

This parameter allows you to download the Wan2_1_I2V_14B_480P_fp8_e5m2 model. It is a boolean value, and setting it to true will initiate the download. This model provides an alternative configuration for image-to-video conversion at 480P, with different precision settings for varied performance.

Wan2_1_I2V_14B_720P_fp8_e4m3fn

This parameter is used to download the Wan2_1_I2V_14B_720P_fp8_e4m3fn model. It is a boolean option, and selecting true will download the model, which is optimized for higher-resolution image-to-video conversion at 720P, suitable for more detailed outputs.

Wan2_1_I2V_14B_720P_fp8_e5m2

This parameter enables the download of the Wan2_1_I2V_14B_720P_fp8_e5m2 model. It is a boolean value, and setting it to true will download this model, offering an alternative precision setting for 720P image-to-video conversion, balancing performance and quality.

Wan2_1_T2V_14B_fp8_e4m3fn

This parameter allows you to download the Wan2_1_T2V_14B_fp8_e4m3fn model. It is a boolean option, and selecting true will download the model, which is designed for text-to-video generation, providing creative possibilities for generating video content from textual descriptions.

Wan2_1_T2V_14B_fp8_e5m2

This parameter controls the download of the Wan2_1_T2V_14B_fp8_e5m2 model. It is a boolean value, and setting it to true will initiate the download. This model offers an alternative configuration for text-to-video generation, with different precision settings for varied creative outputs.

Wan2_1_T2V_1_3B_bf16

This parameter enables the download of the Wan2_1_T2V_1_3B_bf16 model. It is a boolean option, and selecting true will download the model, which is optimized for text-to-video tasks with a focus on balanced performance using bf16 precision.

Wan2_1_T2V_1_3B_fp32

This parameter allows you to download the Wan2_1_T2V_1_3B_fp32 model. It is a boolean value, and setting it to true will download this model, which provides high precision for text-to-video generation, suitable for tasks requiring detailed and accurate outputs.

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 option, and selecting true will download the model, offering an efficient configuration for text-to-video tasks with fp8 precision.

Wan2_1_VAE_bf16

This parameter enables the download of the Wan2_1_VAE_bf16 model. It is a boolean value, and setting it to true will download this model, which is a variational autoencoder optimized for various generative tasks, providing balanced performance with bf16 precision.

Wan2_1_VAE_fp32

This parameter allows you to download the Wan2_1_VAE_fp32 model. It is a boolean option, and selecting true will download the model, which offers high precision for generative tasks, suitable for applications requiring detailed and accurate outputs.

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 value, and setting it to true will download this model, which is designed for visual tasks using the OpenCLIP framework with fp16 precision.

open_clip_xlm_roberta_large_vit_huge_14_visual_fp32

This parameter enables the download of the open_clip_xlm_roberta_large_vit_huge_14_visual_fp32 model. It is a boolean option, and selecting true will download the model, offering high precision for visual tasks using the OpenCLIP framework.

taew2_1

This parameter allows you to download the taew2_1 model. It is a boolean value, and setting it to true will download this model, which is tailored for specific tasks within the WAN model suite, providing unique capabilities for creative applications.

umt5_xxl_enc_bf16

This parameter controls the download of the umt5_xxl_enc_bf16 model. It is a boolean option, and selecting true will download the model, which is an encoder model optimized for various tasks with bf16 precision, offering balanced performance.

umt5_xxl_enc_fp8_e4m3fn

This parameter enables the download of the umt5_xxl_enc_fp8_e4m3fn model. It is a boolean value, and setting it to true will download this model, which provides an efficient configuration for encoding tasks with fp8 precision.

Auto Download ALL WAN Models fromalibaba-pai/Wan2.1-Fun-1.3B-Control Output Parameters:

path

The output parameter path provides the file path where the downloaded model is stored. This is a string value that indicates the local directory path, allowing you to easily locate and access the downloaded model files for further use in your projects. The path is crucial for integrating the models into your workflow, ensuring that you can quickly utilize them in your creative and technical tasks.

Auto Download ALL WAN Models fromalibaba-pai/Wan2.1-Fun-1.3B-Control Usage Tips:

• Ensure that you have a stable internet connection before initiating the download process to avoid interruptions and ensure successful model retrieval.
• Select only the models you need for your specific tasks to save time and storage space, as downloading all models may require significant resources.

Auto Download ALL WAN Models fromalibaba-pai/Wan2.1-Fun-1.3B-Control Common Errors and Solutions:

Download failed due to network issues

• Explanation: This error occurs when there is an unstable or disconnected internet connection during the download process.
• Solution: Check your internet connection and try downloading the models again. Ensure that your network is stable and has sufficient bandwidth.

Insufficient storage space

• Explanation: This error arises when there is not enough storage space available on your device to download the selected models.
• Solution: Free up some storage space on your device by deleting unnecessary files or moving them to an external storage device, then attempt the download again.

Model not found in repository

• Explanation: This error occurs when the specified model is not available in the repository, possibly due to a typo or incorrect model name.
• Solution: Verify the model names and ensure they are correctly specified. Check the repository for the correct model names and update your selections accordingly.