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Table of Contents

1. Introduction
2. Draw Things Episode 5: The Latest Updates
   • 2.1 The Biggest Update: UNIPC Sampler
   • 2.2 Comparison with Karras
   • 2.3 Testing UNiPC
   • 2.4 UNIPC vs. Karras: Speed Comparison
3. Small Steps for Draw Things
   • 3.1 Changing the Model Name
   • 3.2 Importing Models with Trigger Words
   • 3.3 Using the Seed for AI Picture Copying
   • 3.4 Entering the Chant
   • 3.5 Small Icons for Chant Input
   • 3.6 Finished Part on the Right
   • 3.7 Saving and Sharing AI Pictures
4. Conclusion

Draw Things Episode 5: The Latest Updates

In the fifth episode of our Draw Things series, we have some exciting updates to share with You. From the basics covered in the first episode to the advanced techniques in Chapter 2, and the introduction of LoRA in Episode 3, we have made continuous improvements to enhance your AI drawing experience. Now, let's dive into the details of the updates we made in our most recent episode.

2.1 The Biggest Update: UNIPC Sampler

The highlight of this update is the introduction of a new sampler called UNIPC. Compared to the previously used Karras sampler, UNIPC offers faster sampling capabilities. In simple terms, it generates graphs more quickly, resulting in similar effects as Karras but with improved speed. In the following sections, we will compare UNIPC with Karras and see how it performs in action.

2.2 Comparison with Karras

Before we Delve into the speed comparison, let's understand the key differences between UNIPC and Karras. Upon conducting online research, we found that UNIPC delivers faster sampling results. To provide a fair assessment, we conducted a series of tests using the same positive and negative words, keeping other settings constant. We started with Karras and observed that it took approximately 51 seconds to complete the drawing, yielding satisfactory results. Now, let's see how UNiPC compares.

2.3 Testing UNiPC

When we ran UNiPC, it surprised us by running out like a Ghost. However, this reminded us of our previous testing experiences; sometimes, we didn't have enough steps, which might impact the outcome. To give UNiPC another chance, we increased the number of steps to 40 and tested it again. This time, UNiPC drew the image normally, but it took 1 minute and 16 seconds to complete the drawing, which was slightly embarrassing.

2.4 UNIPC vs. Karras: Speed Comparison

To determine which sampler is truly faster, we decided to conduct a direct comparison. We ran Karras again with step 40, the same as UNiPC, to ensure fairness. Surprisingly, Karras completed the drawing in 1 minute and 8 seconds, which was 8 seconds faster than the supposedly faster UNIPC. It left us Wondering about the claims of UNIPC being the fastest sampler. We also performed a limit test with step 80, where Karras took 2 minutes and 26 seconds, while UNiPC took 2 minutes and 34 seconds. In conclusion, UNIPC fell short of its claim of being faster. However, it's important to note that these results may vary Based on the platform and hardware configuration, as acceleration by graphics cards could have a more pronounced impact on PC platforms compared to Apple platforms. The provided results serve as a valuable reference.

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Conclusion

In this episode of Draw Things, we covered the latest updates introduced in the fifth episode. We explored the UNIPC sampler, compared it with the previously used Karras sampler, and tested its speed. We also shared some small steps that can enhance your Draw Things experience, including changing model names, using trigger words when importing models, modifying seeds, and utilizing various features in the chant input and finished parts. Lastly, we discussed how saving and sharing AI pictures can be made easier. We hope these insights will help you make the most of Draw Things and improve your AI drawing skills. Don't forget to like and subscribe if you found this episode helpful. See you next time!