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In this article I have compiled ALL the optimizations available for Stable Diffusion XL (although most of them also work for other versions). I explain how they work and how to integrate them, compare the results and offer recommendations on which ones to use to get the most out of SDXL, as well as generate images with only 6 GB of graphics ...
Close down the CMD window and browser ui. 9. Right click the 'Webui-User.bat' file, make a shortcut and drag it to your desktop (if you want to start it without opening folders) 10. Copy across any models from other folders (or previous installations) and restart with the shortcut.
SD1.5 is superior at realistic architecture, SDXL is superior at fantasy or concept architecture. When considering my own NSFW testing, SD1.5 is superior at human anatomy in female/male, most notably more accurate representations of nipples/butt/vagina and "dill" / penis.
Discussion. Curious to know if everyone uses the latest Stable Diffusion XL engine now or if there are pros and cons to still using older engines vs newer ones. When using the API, what other API do you tend to use all the available parameters to optimise image generation or just stick with prompts, steps and width/height? 0.
With SDXL picking up steam, I downloaded a swath of the most popular stable diffusion models on CivitAI to use for comparison against each other. TLDR: Results 1, Results 2, Unprompted 1, Unprompted 2, links to checkpoints used at the bottom. - Setup -. All images were generated with the following settings: Steps: 20. Sampler: DPM++ 2M Karras.
See SDXL 1.0: a semi-technical introduction/summary for beginners. It's just the latest updated version of the base model. It's more accurate and generates at a higher base res, 1024 instead of 512. However it is slower to generate and train than 1.5. On top of that because it's relatively new and there isn't as many people training it compare ...
Setup. For today's tutorial I will be using Stable Diffusion XL (SDXL) with the 0.9 vae, along with the refiner model. These sample images were created locally using Automatic1111's web ui, but you can also achieve similar results by entering prompts one at a time into your distribution/website of choice.
comfyui has either cpu or directML support using the AMD gpu. Might be worth a shot: pip install torch-directml. python main.py --directml. More info can be found on the readme on their github page under the "DirectML (AMD Cards on Windows)" section. 1.
Copy the settings from here and paste into a text file. Then copy the text file and rename .txt to .json. Launch koyha_ss gui by launching gui.bat. Click on the LORA tab at top. Make sure you are on the Traning sub tab. Click on the "Configuration File" accordian just below and select the config file you saved from here.
Stable Diffusion XL - Tipps & Tricks - 1st Week. Since the research release the community has started to boost XL's capabilities. A list of helpful things to know 1. Use base and the refiner in Ediffi - fashion