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ComfyUI > Nodes > ComfyUI-PiD

ComfyUI Extension: ComfyUI-PiD

Repo Name

ComfyUI-PiD

Author
merserk (Account age: 1273 days)
Nodes
View all nodes(7)
Latest Updated
2026-05-25
Github Stars
0.03K

How to Install ComfyUI-PiD

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

ComfyUI-PiD offers custom nodes for NVIDIA PiD pixel diffusion decoding, enhancing performance with VRAM offload support.

ComfyUI-PiD Introduction

ComfyUI-PiD is an extension designed to enhance the capabilities of ComfyUI by integrating NVIDIA's Pixel Diffusion (PiD) technology. This extension introduces custom nodes that allow AI artists to utilize PiD as a pixel diffusion decoder, transforming latent representations into high-quality images. By leveraging PiD, artists can achieve more detailed and refined outputs, making it an invaluable tool for those looking to push the boundaries of AI-generated art. The extension is particularly beneficial for artists who want to experiment with different image resolutions and styles without needing extensive technical knowledge.

How ComfyUI-PiD Works

At its core, ComfyUI-PiD operates by taking a latent representation, a descriptive prompt or caption, and a sigma value to produce an image. Think of the latent as a rough sketch, the caption as a guiding theme or story, and the sigma as a fine-tuning knob that adjusts the level of detail. Optionally, a baseline image can be used to provide a starting point for the diffusion process. The extension simplifies this complex process into a series of nodes that can be easily manipulated within ComfyUI, allowing artists to focus on creativity rather than technical details.

ComfyUI-PiD Features

  • PiD Decode Node: This feature allows for a straightforward conversion from latent to image, making it easy to see the results of your inputs.
  • Staged Low-VRAM Workflow: Designed for users with limited VRAM, this workflow breaks down the process into stages (Prepare, Sample, Finalize) to optimize memory usage.
  • PiD Sample Subprocess: By running the sampling in a separate process, the extension frees up CUDA memory, enhancing performance.
  • KSampler Capture: This feature captures intermediate latents and sigma values, providing more control over the final output.
  • Lazy Setup: Automatically downloads necessary resources on the first run, simplifying the setup process.
  • Sequential Block Offload: Offers a trade-off between speed and memory usage, allowing for lower VRAM consumption.

ComfyUI-PiD Models

ComfyUI-PiD supports various backbones, each suited for different artistic needs:

  • Z-Image / Flux-Compatible: Ideal for standard workflows with 16 latent channels.
  • Flux and Flux2: Offers more advanced features with up to 128 latent channels.
  • Stable Diffusion 3: A versatile option for a wide range of styles.
  • DINOv2 RAE and SigLIP Scale-RAE: These models provide higher latent channels, suitable for more complex and detailed outputs. Each model can be used with different checkpoints like 2k and 2kto4k, allowing for flexibility in output resolution and style.

What's New with ComfyUI-PiD

The extension is continuously updated to improve performance and user experience. Recent updates have focused on optimizing VRAM usage, enhancing the lazy setup process, and expanding model support. These changes are designed to make the extension more accessible and efficient for AI artists, enabling them to create more complex and detailed artworks with ease.

Troubleshooting ComfyUI-PiD

If you encounter issues while using ComfyUI-PiD, here are some common solutions:

  1. VRAM Limitations: If you experience crashes, try reducing the scale or using a smaller base latent. Enabling cleanup options can also help.
  2. CUDA Errors: Restart ComfyUI if you encounter CUDA allocator crashes.
  3. Missing Resources: Ensure auto_download is set to true to automatically fetch necessary files. For further assistance, consider checking community forums or the extension's documentation for more detailed troubleshooting steps.

Learn More about ComfyUI-PiD

To deepen your understanding of ComfyUI-PiD and its capabilities, explore the following resources:

  • Tutorials and Guides: Look for online tutorials that walk through the setup and use of ComfyUI-PiD.
  • Community Forums: Join discussions with other AI artists to share tips and get support.
  • Documentation: Review the official documentation for detailed information on each feature and model. These resources are tailored to help AI artists maximize their creative potential with ComfyUI-PiD.

ComfyUI-PiD Related Nodes

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.

ComfyUI-PiD detailed guide | ComfyUI