From 068fcd455f616eb43a7a06f138e723c58c2f4b94 Mon Sep 17 00:00:00 2001 From: ChangeTheConstants Date: Thu, 4 Dec 2025 10:50:33 -0500 Subject: [PATCH] Update README.md --- README.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 9289369..ba32b1b 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,12 @@ +# SeedVarianceEnhancer + SeedVarianceEnhancer is a ComfyUI custom node intended to be used to add diversity to the outputs generated by Z-Image Turbo. It was created as an experiment to compensate for low seed variance, which is when image outputs using the same prompt look very similar despite being generated with different seeds. It works by adding random noise to the text prompt embedding. -Installation: +## Installation: Extract the contents of the zip file and place the SeedVarianceEnhancer directory in your ComfyUI/custom_nodes directory. Launch or restart ComfyUI. You will find the SeedVarianceEnhancer inside the conditioning node group. -Usage: +## Usage: The SeedVarianceEnhancer node should be placed next in line after the positive prompt "CLIP Text Encode (Prompt)" node. The conditioning output from the SeedVarianceEnhancer should then connect to the sampler's positive prompt input. The default settings should work well with Z-Image turbo. @@ -17,14 +19,14 @@ Strength values in the range of 15 to 30 and a randomize_percent of 50 seem to b SeedVarianceEnhancer should work with other models, but the strength value may need to be adjusted by orders of magnitude to work as intended. For example, a quick test with Chroma HD revealed that a strength settings in the range of 0-1 may be optimal. -Results: +## Results: When using moderate settings, the output images will vary in any number of ways. Anything from viewing angle, lighting, colors, subject, environment, or artistic style could change slightly or completely. As a consequence of the SeedVarianceEnhancer's function, prompt adherence will be reduced relative to the strength of the "randomize_percent" and "strength" settings. This reduced prompt adherence may be desirable to users interested in generating strange or unexpected images. When using high strength and randomize_percent settings, the image may no longer resemble the prompt in any recognizable way. Some of the features in the generated images may turn out to be things that would be difficult to describe with words. It offers the potential to discover unknown capabilities and knowledge within the model. -Limitations: +## Limitations: SeedVarianceEnhancer does not correct the underlying limitations of the model. It should be viewed as a clever hack to compensate for those limitations. Reduced prompt adherence, text rendering, and overall image quality are potential side effects of use. SeedVarianceEnhancer does not properly handle all conditioning inputs, such as those containing multiple embeddings, so using it alongside other conditioning nodes will likely result in unexpected behavior. -License +## License SeedVarianceEnhancer is released under the MIT No Attribution license.