The Lora model is specifically trained to render feet for SDXL.
If you like nylon feet instead, you can download RealNylonFeets XL - Feet in nylon
The native 1024x1024 was selected to train a performing XL Lora, with reliable layout.
Anyway, the AI feet rendering is still challenging, and this Lora is a result of many training sessions.
So first, if you like this Lora, please review it, use it and share pictures.
For a great output please read the following instructions.
Triggering prompt keyword:
RealFeet
Lora weight:
A value of 0.7 or 0.9 is highly recommended. Higher values can trigger artifacts.
So a good activation keyword for lora is:
<lora:RealFeet:0.8>
This Lora could be used both with realistic or manga checkpoints. Concerning realistic checkpoint Formula XL was used to generate the demo gallery.
Sampling steps:
About 50-70 sampling steps.
Additional istructions
- There are some different particulars than can be rendered, like painted toenails (preceded by a color name, eg. red painted toenails) or natural toenails that can be triggered by using the following tokens:
color painted toenails
natural toenails
- You can specify that feet must be rendered on tiptoes including token
on tiptoes
WARNING: The details level of this Lora could drop in case of full body portraits (very little feet) or in case of many different Lora used together. Details can be rescued using inpaint algorithm only on feet, with a very specific prompt focused only on RealFeet triggering words like in the following example.
Raw Photo, RealFeet, red painted toenails, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3
Image dimensions
Better result are obtained with a base image of about 1200 px dimension on the long image side with an image width/length ratio of 1.5. After the base generation upscaling is a good practice.
USE DEMO IMAGES PROMPTS AS REFERENCE
Final statements:
1. You are solely responsible for any creative work using this model.
2. You cannot use this model to intentionally produce or share illegal images or content.
3. Furthermore can't use this model for malicious, hurtful, defamatory, fraudulent or political purposes.