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

Retrieval vs. Memory in Agentic AI Systems

In this article, you will learn the conceptual and practical differences between retrieval and memory…

20 hours ago

Here is What I am Building In Public

Hi everyone,In my last post, and I know its been a while, I promised to…

20 hours ago

Part 2: Amazon Bedrock cost attribution with Amazon Athena and CUDOS

Part 1 introduced granular cost attribution for Amazon Bedrock. This feature automatically traces every inference…

20 hours ago

The Best Photos of the Big August Solar Eclipse

It’s been a century since the Iberian Peninsula has been in the full shadow of…

21 hours ago

Extending AI architectures to address continuous scientific problems

Artificial intelligence is proving to be transformative in its ability to work with language and…

21 hours ago

7 Async Patterns for Running Agents Concurrently in Python

In this article, you will learn seven async patterns for running AI agents concurrently in…

2 days ago