Alekseyev style版本v1.0 (ID: 1306104)

1. Introduction

This is a LoRA for illustrations and paintings in style of an artist Фёдор Яковлевич Алексеев (Fyodor Yakovlevich Alekseyev, 1753/55-1824). Training resources are taken from works on the web, and I would like to serve a LoRA made with 70 images.

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 = 30

• optimizer type = "Lion"

• steps = 3,150

2. Usage

To be a simple way in your prompt, please add LoRA decralation with some weight value just as "<lora:BT_Fyodor_Alekseyev_v1:1>" and put the trigger keyword "fyodor alekseyev" 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, very wide shot, scenary, old painting, traditional media, antique, perspective, outdoors, (New York, skyscrapers, building, people, bridge, Central Park), wallpaper, uncensored, unparalleled masterpiece, finely detail, incredibly absurdres, perfect artwork, highres, concept art, elegant, extremely detailed, intricate, professionally color graded, UHD, HDR, 32K, 16K, professional illustration, vibrant details, abstract beauty, (fyodor alekseyev) <lora:BT_Fyodor_Alekseyev_v1:0.5>

Negative prompt: multiple girls, multiple angles, multiple views, collage, multiple images, frame, border, split frame, split screen, easynegative, FastNegativeV2, an7-neg, badquality, nncursedV0, NegfeetV2, CR1.2-neg, verybadimagenegative_v1.3, ng_deepnegative_v1_75t

Steps: 30, Sampler: DPM++ 3M SDE, Schedule type: Polyexponential, CFG scale: 7.5, Seed: 1931744274, Size: 1024x576, Model hash: 2289c564ac, Model: ultra_v3, VAE hash: 63aeecb90f, VAE: ClearVAE_V2.3.safetensors, Lora hashes: "BT_Fyodor_Alekseyev_v1: cd50f7d9c9e7", Version: v1.10.1

3. Weight

Results would be varied by a weight value in LoRA declaration, depending on other LoRA you use, the position of trigger word ("fyodor alekseyev") 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: fyodor alekseyev