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comfyui_overly_complicated_sampling offers experimental and mathematically unsound sampling for ComfyUI, designed for advanced users. It is in flux and may frequently change or disrupt workflows, providing a fun yet unstable experience.
The comfyui_overly_complicated_sampling
extension is an experimental and innovative tool designed for the ComfyUI platform. It introduces a variety of advanced sampling techniques that, while mathematically unconventional, offer a fun and creative way to generate images. This extension is particularly useful for AI artists looking to explore new and unique sampling methods to enhance their creative workflows. It allows for intricate control over the sampling process, enabling the creation of images with distinct and varied styles.
At its core, comfyui_overly_complicated_sampling
works by manipulating the sampling process used in generating images. Sampling in this context refers to the method by which noise is progressively reduced to form a coherent image. This extension provides a suite of different samplers, each with unique characteristics and behaviors. By allowing users to schedule and combine these samplers, the extension offers unprecedented flexibility and control over the image generation process.
Imagine the sampling process as a journey from a noisy, chaotic starting point to a clear, detailed image. Different samplers act like different paths you can take on this journey. Some paths might be straightforward and quick, while others might take scenic routes, adding unique textures and details along the way. comfyui_overly_complicated_sampling
lets you choose and switch between these paths dynamically, even within a single image generation process.
The extension includes a variety of samplers such as Euler, Heun++, DPMPP SDE, and many more. Each sampler has its own way of processing noise and can produce different artistic effects.
You can schedule different samplers to run at different stages of the image generation process. For example, you might start with the Euler sampler for the initial steps and switch to DPMPP SDE for the final touches.
Some samplers support CFG++ (Classifier-Free Guidance), which allows for more nuanced control over the influence of the prompt on the generated image.
The extension supports custom noise types, allowing for even more creative control over the image generation process.
This feature allows for restarting the sampling process at different stages, which can help in refining the image further.
Ancestral sampling is supported for certain samplers, which can add a more organic and natural feel to the generated images.
A built-in safe expression language allows for filtering and manipulating nearly all parameters during sampling, providing advanced users with powerful tools to fine-tune their workflows.
The extension supports various models, each tailored for different types of image generation tasks. Here are some of the key models:
Flux is a rectified flow model that does not use CFG. It is suitable for generating images with a more fluid and dynamic feel. Note that CFG++ and alt CFG++ features do not work with Flux.
These models, such as DPMPP SDE and DPMPP 2S, are designed for high-quality image generation with different levels of detail and noise reduction.
Models like Reversible Heun and Reversible Bogacki are designed to allow for reversible sampling, which can be useful for certain types of artistic effects.
The extension is constantly evolving, with new features and improvements being added regularly. Here are some of the recent updates:
Several new samplers have been added, including Reversible Heun, Reversible Bogacki, and TTM JVP, each offering unique ways to process noise and generate images.
Support for custom noise types and immiscible noise processing has been enhanced, allowing for more creative control over the image generation process.
The ability to schedule and combine different samplers has been improved, providing more flexibility and control over the sampling process.
Here are some common issues you might encounter while using the extension and their solutions:
Solution: The extension is experimental and may change frequently. Ensure you are using the latest version and check the OCS Q&A Discussion for updates and solutions.
Solution: Flux does not support CFG++. Ensure that cfg1_uncond_optimization
is set to true in the model block for the main OCS Sampler
.
Solution: Restart sigmas do not currently work with RF models like Flux. Ensure you are using compatible models and settings.
For more information, tutorials, and community support, check out the following resources:
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