ComfyUI > Nodes > ComfyUi-ConditioningNoiseInjection

ComfyUI Extension: ComfyUi-ConditioningNoiseInjection

Repo Name

ComfyUi-ConditioningNoiseInjection

Author
BigStationW (Account age: 233 days)
Nodes
View all nodes(1)
Latest Updated
2025-12-09
Github Stars
0.07K

How to Install ComfyUi-ConditioningNoiseInjection

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

ComfyUi-ConditioningNoiseInjection is a custom node for ComfyUI that introduces controlled noise into conditioning embeddings, such as prompts, during part of the diffusion process.

ComfyUi-ConditioningNoiseInjection Introduction

The ComfyUi-ConditioningNoiseInjection extension is a powerful tool designed to enhance the creative capabilities of AI artists using the ComfyUI platform. This extension allows you to inject controlled noise into conditioning embeddings, such as prompts, during a portion of the diffusion process. By doing so, it addresses the issue of low seed variance in some models, like the Z-Image Turbo, which tend to produce very similar images even when different seeds are used. This extension helps increase the diversity of generated images while maintaining adherence to the original prompts, offering a more dynamic and varied artistic output.

How ComfyUi-ConditioningNoiseInjection Works

At its core, the ComfyUi-ConditioningNoiseInjection extension works by introducing noise into the conditioning embeddings at the beginning of the denoising process. Imagine the conditioning embeddings as a set of instructions or guidelines that the AI follows to create an image. By adding noise to these instructions, the extension creates a level of randomness that can lead to more diverse and unique image compositions. Once a specified threshold is reached, the extension restores the clean conditioning, ensuring that the final image still aligns with the original prompt. This method allows for greater compositional diversity without compromising the integrity of the prompt.

ComfyUi-ConditioningNoiseInjection Features

  • Noise Injection: The primary feature of this extension is its ability to inject noise into conditioning embeddings. This feature can be customized to control the amount and timing of the noise, allowing you to experiment with different levels of randomness and diversity in your images.
  • Threshold Control: You can set a threshold that determines when the clean conditioning is restored. This feature gives you control over how much of the noise-influenced process is allowed before returning to the original prompt instructions.
  • Increased Diversity: By perturbing the conditioning rather than the latent space, the extension enhances the variety of images generated from the same seed, making it a valuable tool for artists seeking to explore different artistic styles and compositions.

ComfyUi-ConditioningNoiseInjection Models

While the extension itself does not introduce new models, it is particularly beneficial when used with models that exhibit low seed variance, such as the Z-Image Turbo. By using this extension, you can achieve a broader range of outputs from these models, enhancing their utility and creative potential.

Troubleshooting ComfyUi-ConditioningNoiseInjection

Here are some common issues you might encounter while using the ComfyUi-ConditioningNoiseInjection extension, along with solutions:

  • Images Look Too Similar: If the images generated still look too similar, try increasing the amount of noise injected or adjusting the threshold to allow more of the noise-influenced process.
  • Loss of Prompt Adherence: If the final images do not adhere closely enough to the prompts, consider reducing the noise level or lowering the threshold to restore the clean conditioning earlier in the process.
  • Performance Issues: Ensure that your ComfyUI installation is up to date and that your system meets the necessary requirements for running the extension efficiently.

Learn More about ComfyUi-ConditioningNoiseInjection

To further explore the capabilities of the ComfyUi-ConditioningNoiseInjection extension, you can access additional resources and community support:

  • Example Workflow: An example workflow for the Z-Image Turbo model can be found here.
  • ComfyUI Community: Join the ComfyUI Discord or the Matrix space (https://app.element.io/#/room/%23comfyui_space%3Amatrix.org) to connect with other AI artists and developers, share your experiences, and get support.
  • ComfyUI Documentation: Visit the ComfyUI website for more information on using ComfyUI and its extensions. By leveraging these resources, you can maximize the potential of the ComfyUi-ConditioningNoiseInjection extension and enhance your creative projects.

ComfyUi-ConditioningNoiseInjection Related Nodes

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