ComfyUI > Nodes > ComfyUI > VOIDSampler

ComfyUI Node: VOIDSampler

Class Name

VOIDSampler

Category
sampling/custom_sampling/samplers
Author
ComfyAnonymous (Account age: 763days)
Extension
ComfyUI
Latest Updated
2026-05-13
Github Stars
112.77K

How to Install ComfyUI

Install this extension via the ComfyUI Manager by searching for ComfyUI
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI 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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VOIDSampler Description

Specialized node for VOID inpainting models, implementing DDIM sampling method for high-quality image generation.

VOIDSampler:

The VOIDSampler is a specialized node designed for use with VOID inpainting models, specifically implementing the DDIM (Denoising Diffusion Implicit Models) sampling method. This node is essential for artists working with VOID models, as it replicates the exact DDIM loop that these models were trained with, using the diffusers CogVideoXDDIMScheduler. Unlike the standard KSampler, which applies a noise scaling factor, the VOIDSampler omits this step, ensuring compatibility with the VOID model's training process. This makes it particularly useful for generating high-quality inpainted images by maintaining the integrity of the model's original training conditions. The node is intended to be used in conjunction with RandomNoise or VOIDWarpedNoiseSource, providing a seamless integration into your creative workflow.

VOIDSampler Input Parameters:

The VOIDSampler node does not require any input parameters, making it straightforward to use without the need for additional configuration.

VOIDSampler Output Parameters:

Sampler Output

The output of the VOIDSampler node is a sampler object that executes the DDIM sampling process. This output is crucial for generating the final inpainted images, as it applies the DDIM update rule directly, ensuring that the results are consistent with the VOID model's training. The sampler output is used in the subsequent stages of the image generation process, providing the necessary data for creating high-quality inpainted visuals.

VOIDSampler Usage Tips:

  • Use the VOIDSampler in conjunction with VOID inpainting models to ensure compatibility and optimal results, as it is specifically designed to work with these models.
  • Pair the VOIDSampler with RandomNoise or VOIDWarpedNoiseSource to achieve the best performance and maintain the integrity of the model's training conditions.

VOIDSampler Common Errors and Solutions:

No specific error messages provided

  • Explanation: The context does not provide specific error messages related to the VOIDSampler node.
  • Solution: Ensure that you are using the VOIDSampler with compatible VOID inpainting models and the recommended noise sources. If you encounter issues, verify that all dependencies and configurations are correctly set up according to the VOID model's requirements.

VOIDSampler Related Nodes

Go back to the extension to check out more related nodes.
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VOIDSampler