Storefront版本v1.0 (ID: 1294183)

1. Introduction

This is a LoRA for photorealistic images of storefront. Training resources are taken from photographs under Commons published on the web, and I would like to serve a LoRA made with 109 images.

You can make an image of storefront even without my LoRA, and you should simply use "storefront" as a keyword. But most images will be varied in an angle, scale, and other situation, so you should add more keywords to generate as a fixed or expected appearance.

This LoRA was trained on my computer (Ryzen 5 2600 + 16 GB RAM + 500 GB SSD + NVIDIA GeForce RTX 2060 6 GB) with SD-Trainer by Akegarasu (https://github.com/Akegarasu/lora-scripts) on sd-scripts by kohya-ss (https://github.com/kohya-ss/sd-scripts/tree/main), and well known configurations of training as follows (I don't change most default parameters):

• DreamBooth method without regularization images

• pretrained model: ULTRA v3 (for SD 1.5) https://civitai.com/models/228525?modelVersionId=470417

• resolution = 512 x 512

• epochs = 40

• optimizer type = "Lion"

• steps = 2,200

2. Usage

To be a simple way in your prompt, please add LoRA decralation with some weight value just as "<lora:BT_Storefront_v1:1>" and put the trigger keyword "bt_storefront" in some place of your prompt. In most cases, a keyword of style will be better to write a later position in your prompt.

A weight value can vary a result, you know. When you set "0," no effect will be shown, and when you set "1" or more value, the result may be worse by the well-known "overfitting," and most images are likely resembled with the original images used in my training. So, you will have to set the value in your own situtation (what other LoRA you use, and where do you put a keyword in your prompt, and son on.) If you set a weight over 1, the overfitting may be happen. But most results are good even by a weight of 1.0 as the following image.

A value for CLIP SKIP will be available not only 1 but also 2.

Anyway, here's a sample image.

Prompt: (no humans, low view, scenary, perspective, POV:1.5), (outdoors, bt_storefront, storefront, soft bounced lighting, in the evening, sunset, rainstorm:1.5), stunning modern urban upscale environment, ultra realistic, concept art, elegant, extremely detailed, intricate, sharp focus, depth of field, professionally color graded, volumetric fog, HDR, 32K, 16K, natural lighting, professional photograph (in style of Galen Rowell:1.5), movie promotional poster, vibrant details, abstract beauty, trending on artstation <lora:photo_aesthetic_slider:0.7> <lora:hyperdetailer_v080:0.3> BREAK (ethereal and emotive photography, professional color grading, rich deep colors, studio quality, color-accurate, spectrum-precise, perceptually accurate, color calibrated, tone-mapped), (professional photograph with Sony α7R III, FE 85mm F1.4 GM, Lomography Color Negative 400:1.2) <lora:BT_Storefront_v1:0.5>

Negative prompt: (multiple angles, multiple views, collage, multiple images, frame, border, split frame, split screen, humans, girl, boy:1.5), easynegative, badquality, verybadimagenegative_v1.3

Steps: 30, Sampler: DPM++ 3M SDE, Schedule type: Polyexponential, CFG scale: 7.5, Seed: 726979432, Size: 1024x576, Model hash: 2289c564ac, Model: ultra_v3, VAE hash: 63aeecb90f, VAE: ClearVAE_V2.3.safetensors, Lora hashes: "photo_aesthetic_slider: b16a0b5c2256, hyperdetailer_v080: 05dfb0659165, BT_Storefront_v1: 79afb613d6f2", Version: v1.10.1

3. Weight

[Notice] It is hard to add images on the lower part of web page on this editor application, so unfortunately I will not use explanatory images below.

Results would be varied by a weight value in LoRA declaration, depending on other LoRA you use, the position of trigger word ("bt_storefront") in your prompt, base model, or others. Generally speaking, a weight under 0.3 will be ineffective and a weight over 0.7 can make an overfitting.

4. the Last word

Have fun, and thanks to users, creators of scripts, applications, models, and at last but not least, to crews at Civitai.

描述:

The initial release.

训练词语: bt_storefront