Stable Diffusion is a very popular AI Text-to-Image Model. This tutorial will have Stable Diffusion Parameters explained in detail.
cfgScale: – CFG stands for Classifier Free Guidance scale. CFG scale is a parameter that controls Stable Diffusion how ‘strict’ it should follow the prompt input in image generation. Lower CFG give the AI more freedom to be creative, while higher numbers force it to stick more to the prompt, but this does not mean that the value should always be set to max, as more guidance means less diversity and quality.
e.g cfgScale = 7.5
Steps: is literally the number of steps it takes to generate your output. At the start of the generation, you would just see a mass of noise/random pixels. On every step, some of that noise is removed to “reveal” the image within it using your prompt as a guide, but you shouldn’t set steps as high as possible, It’s all about the results you are trying to achieve. Around 25 sampling steps are usually enough to achieve high-quality images. Using more may produce a slightly different picture, but not necessarily better quality. In addition, the iterative nature of the process makes generation slow; the more steps you’ll use, the more time it will take to generate an image. In most cases, it’s not worth the additional wait time.
Scheduler: are algorithms that are used alongside the UNet component of the Stable Diffusion pipeline. They play a key role in the denoising process and run multiple times iteratively (called steps) to create a clean image from a completely random noisy image.
e.g UniPCMultistepScheduler (https://huggingface.co/docs/diffusers/api/schedulers/unipc)
denoisingStrength: The process of Stable Diffusion involves gradually refining a random initial image over several iterations. The denoising strength determines how aggressively the noise is removed in each iteration.
e.g denoisingStrength = 1
Seed: which is a numerical value. It serves as a visual representation of the image’s creation factors. As a result, the same Seed will consistently produce an image with the exact same colors, shapes, and patterns.
References:
https://animegenius.live3d.io/tutorial/parameter/the-expert-guide-to-CFG-scale-in-stable-diffusion
https://getimg.ai/guides/interactive-guide-to-stable-diffusion-guidance-scale-parameter
https://getimg.ai/guides/interactive-guide-to-stable-diffusion-steps-parameter
https://blog.segmind.com/what-are-schedulers-in-stable-diffusion/
https://novita.ai/blogs/mastering-denoising-strength-stable-diffusion.html
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