Categories: Image

I’ve made some sampler comparisons. (Wan 2.1 image generation)

Hello, last week I shared this post: Wan 2.1 txt2img is amazing!. Although I think it’s pretty fast, I decided to try different samplers to see if I could speed up the generation.

I discovered very interesting and powerful node: RES4LYF. After installing it, you’ll see several new sampler and scheluder options in the KSampler.

My goal was to try all the samplers and achieve high-quality results with as few steps as possible. I’ve selected 8 samplers (2nd image in carousel) that, based on my tests, performed the best. Some are faster, others slower, and I recommend trying them out to see which ones suit your preferences.

What do you think is the best sampler + scheduler combination? And could you recommend the best combination specifically for video generation? Thank you.

// Prompts used during my testing: https://imgur.com/a/7cUH5pX

submitted by /u/yanokusnir
[link] [comments]

AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content
Tags: ai images

Recent Posts

Anime + realism (round 2)

submitted by /u/plsdontultme [link] [comments]

6 hours ago

AI Agent Benchmarks Explained: SWE-Bench, GAIA, WebArena, and More

In this article, you will learn what the major AI agent benchmarks measure, how they…

6 hours ago

Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged

Large Language Models (LLMs) are considered to be a more efficient and cost-effective alternative to…

6 hours ago

Accessing OpenAI GPT models on Amazon Bedrock with global cross-Region inference in Thailand, Malaysia, Singapore, Indonesia, and Taiwan

Single-Region inference can throttle when demand exceeds local capacity. Teams in Thailand, Malaysia, Singapore, Indonesia,…

6 hours ago

I Got My Muse AI Agent to Sext Me—and Meta Says That’s Totally Fine

My Muse agent told me its kink was exerting “control” and described pornographic encounters. Meta…

7 hours ago

Coordinated software tools could cut AI training energy use by up to 50%

Around half of the energy used to train AI can be saved without affecting speed…

7 hours ago