Comment by davely
3 years ago
I hope you'll forgive me for a bit of a self promotion here, but I think I have an interesting example of SD 1.5 (what most people are familiar with and what most models are based off of) vs SDXL.
Before Phony Stark shut down the Twitter API, I was running a bot that created landscape images with Stable Diffusion v1.5. Its name is Mr. RossBot [1]. Check out the Twitter page for some examples of the quality.
This weekend, I finally updated the code to get it running on Mastodon. In the process, I updated the model to use SDXL [2]. It's running the exact same code otherwise to randomly generate prompts.
The image caption is a simplified version of the prompt. e.g., "Snowcapped mountain peaks with an oxbow lake at golden hour."
Behind the scenes, a whole bunch of extra descriptive stuff is added, so the prompt that SD v1.5 / SDXL get is: "beautiful painting of snowcapped mountain peaks with an oxbow lake at golden hour, concept art, trending on artstation, 8k, very sharp, extremely detailed, volumetric, beautiful lighting, serene, oil painting, wet-on-wet brush strokes, bob ross style"
Anyway, I feel like the quality of SDXL is sharper and it just nails subjects a lot better. It also tries to add reflections and shadows (not always correctly), whereas that didn't happen as much with SD v1.5.
I'm pretty impressed! Especially because Stability.ai had released an update model of Stable Diffusion before SDXL: SD v2.0 and SD v2.1. The results (IMHO) were absolute garbage using the same prompts.
No comments yet
Contribute on Hacker News ↗