
1. Introduction
This is a LoRA for illustrations in style of 岸竹堂 (Kishi Chikudou, 1826-1897). The source images are collected on the web, and I would like to serve a LoRA made with 70 images (separated into two blocks to be trained, so the sum of traininig images are 140.)
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 = 2,100
2. Usage
To be a simple way in your prompt, please add LoRA decralation with some weight value just as "<lora:BT_Kishi_Chikudou_v1:0.5>" and put the trigger keyword "kishi chikudou" 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 0.7, the overfitting may be happen.
A value for CLIP SKIP will be available not only 1 but also 2.
Anyway, here's a sample image.
Prompt: no humans, (painting, restricted colors, ink brush stroke, Japanese art), (simple background, cream white background), very wide shot, scenary, perspective, outdoors landscape, Vibrant beach scene with waves crashing against the shore, Seagulls flying overhead, Sandy beaches stretching as far as the eye can see, Warm and inviting atmosphere, Soft colors of gray and blue, Ocean spray creating a fine mist, Driftwood worn smooth by the sea, Coral reefs teeming with colorful fish, Gentle stream flowing into the ocean., wallpaper, uncensored, unparalleled masterpiece, professionally color graded, UHD, HDR, 32K, 16K, professional illustration, abstract beauty, (kishi chikudou) <lora:BT_Kishi_Chikudou_v1:0.7>
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: 35, Sampler: DPM++ 3M SDE, Schedule type: Polyexponential, CFG scale: 7.5, Seed: 1407172369, Size: 1024x576, Model hash: 2289c564ac, Model: ultra_v3, VAE hash: 63aeecb90f, VAE: ClearVAE_V2.3.safetensors, Lora hashes: "BT_Kishi_Chikudou_v1: e73adbcd4823", TI hashes: "easynegative: c74b4e810b03, FastNegativeV2: a7465e7cc2a2, an7-neg: f27c413efa3d, NegfeetV2: df90b1ff666d, CR1.2: 69b8e21250f3, verybadimagenegative_v1.3: d70463f87042, ng_deepnegative_v1_75t: 54e7e4826d53", 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 ("kishi chikudou") 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: kishi chikudou
名称: BT_Kishi_Chikudou_v1.safetensors
大小 (KB): 32352
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success