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[VTuber] Amakami Konomi | 甘狼このみ | MiliPro | ミリプロ

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Updated: Sep 6, 2026

charactervtuberamakami konomi

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1 variant available

bf16 SafeTensor

konomi-final-v1.0.safetensors

BF16, good balance • 104.04 MB

Verified:

Type
LoRA
Stats

26

0

Reviews
Published

Sep 6, 2026

Base Model

Anima

Hash
AutoV2
E60BE6C438
Trigger Words
amakami konomi
default creator card background decoration
Followers - 7

7

Likes - 41

41

License:

Anima

The Anima Model is licensed by CircleStone Labs LLC. Copyright CircleStone Labs LLC. IN NO EVENT SHALL CIRCLESTONE LABS LLC BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

Built on NVIDIA Cosmos

ComfyUI_temp_vrqdf_00007__cleaned.png

Introduction

This is my first LoRA. Amakami Konomi is a Japanese female indie VTuber, illustrator, and Live2D modeler. I find her illustrations really nice, so I decided to train this.

Usage

Recommended LoRA strength: 1.0

Trigger word:

amakami konomi

Default outfit:

blue dress, brown capelet, white frilled blouse, brown neck bow, belt, brown striped thighhighs, brown lace-up boots

Training Details

  • Base model: Anima Base 1.0

  • Training tool: sorryhyun/anima_lora v1.17.1

  • Dataset: 7 manually captioned images

  • LoRA rank / alpha: 32 / 128

  • Learning rate: 2e-5

  • Optimizer: AdamW

  • Learning rate schedule: Cosine decay with 5% warmup

  • Training duration: 120 epochs / 840 steps

  • Precision: BF16

  • Resolution: Aspect-ratio buckets, approximately 1 megapixel

  • GPU: NVIDIA GeForce RTX 3090

简介

这是我的第一个 Lora。甘狼このみ 是一个日本的女性独立 VTuber/插画家/Live2D 建模师。我觉得她的插画很可爱,所以我训练了这个 Lora。

使用

激活权重:1.0

激活词

amakami konomi

常服

blue dress, brown capelet, white frilled blouse, brown neck bow, belt, brown striped thighhighs, brown lace-up boots

训练参数

  • 基础模型:Anima Base 1.0

  • 训练工具sorryhyun/anima_lora v1.17.1

  • 训练数据:7 张手工标注图片

  • LoRA rank / alpha:32 / 128

  • 学习率2e-5

  • 优化器:AdamW

  • 学习率调度:余弦衰减,预热比例 5%

  • 训练量:120 epochs / 840 steps

  • 训练精度:BF16

  • 训练分辨率:按长宽比分桶,约 1 M 像素

  • 训练显卡:NVIDIA GeForce RTX 3090