<h3 id="introduction:">Introduction:</h3>This is the character Kinako from 40Hara.<hr /><h3 id="note:">Note:</h3>I created this character model entirely on a whim—it wasn't part of the original plan; I made it simply to complete a side task.This is a "catgirl" character. I had seen an image of her on Pinterest (AI-generated) and decided to create my own version using Anima software; essentially, this is a port of the model into this format.Q (you might be wondering): What happened to the "Deadly 7 Inside Me" project?A: I’ve simply put it on hold to focus on other projects, such as "Shio Cafe" (also by the creator deruu). I will return to this project later, as I don't have enough time right now—especially due to personal time constraints and health issues.- google translated<hr /><h3 id="prompt-trigger:">Prompt Trigger:</h3>Base Character:<pre><code>k1n4k0, 1girl, animal_ears, green_eyes, long_hair, bangs, blonde_hair, cat_ears, cat_girl, cat_tail, tail,</code></pre>Outfit <span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">Causal:<pre><code>collar, shirt, short_sleeves, white_t-shirt, print_shirt, fish_print, animal_print, text_print, "OSAKANA"</code></pre>

Kinako - 40Hara

### Training Information (Anima DiT)+ Output Name: bf16_Anima_V1_Kinako+ Network Module: networks.lora_anima+ Epochs: 7+ Max Train Steps: Auto (Epoch)+ Learning Rate: 0.0001+ Text Encoder LR: 5e-05+ Optimizer: AdamW8bit+ Mixed Precision: bf16+ LR Scheduler: constant+ LR Warmup Steps: 0+ Rank: 16/16 (Dim, Alpha)### Anima Arguments:+ timestep_sample_method: logit_normal+ discrete_flow_shift: 3+ weighting_scheme: logit_normal### Dataset Info (dataset.toml):+ Batch Size: 2+ Resolution: 1152x1152+ Steps (calculated): 854+ Bucketing: True### Datasets Parameter:+ white_shirt : images: 61 | repeats: 4 | keep_tokens: 1 | flip_aug: False | shuffle_caption: False

Files with SHA256: e5c74d5601a6ec735a683be896a5087b04d4f0721ed80f752925477ef0346964