Arknights: Endfield | Operators Collection - 3.0

Name: Arknights: Endfield | Operators Collection - 3.0
Availability: InStock
Author: motimalu

Arknights: Endfield | Operators Collection

LORA

Original

motimalu

Updated: Jun 19, 2026 11:53 AM

Intended to generate non-commercial fan works of Operators from the Arknights: Endfield video game.

Version 3.0 (Latest)

This was re-trained with several attempts to reach the same level of quality as the full-finetune which included the same dataset:

Kirazuri (Anima)

The LoRA is not quite there, even when adjusting hyperparameters and extending the training time.

Little disappointed about this, but it may be an expected limitation of LoRA training.

Operators (game version 1.0):

female endministrator \(arknights\) male endministrator \(arknights\) perlica \(arknights\) chen qianyu \(arknights\) akekuri \(arknights\) alesh \(arknights\) antal \(arknights\) arclight \(arknights\) ardelia \(arknights\) avywenna \(arknights\) catcher \(arknights\) da pan \(arknights\) estella \(arknights\) fluorite \(arknights\) gilberta \(arknights\) laevatain \(arknights\) last rite \(arknights\) lifeng \(arknights\) snowshine \(arknights\) wulfgard \(arknights\) xaihi \(arknights\) yvonne \(arknights\)

Operators (game version 1.1):

mi fu \(arknights\) rossi \(arknights\) tangtang \(arknights\) zhuang fangyi \(arknights\)

Unreleased Operators (unconfirmed designs):

arcane \(arknights\) camille \(arknights\) feranmut proxy \(arknights\)

Antagonists:

ardashir \(arknights\) nefarith \(arknights\)

Works best in combination with NL if you name a character, then describe their basic appearance.

A vibrant and dynamic illustration of Yvonne from Arknights: Endfield, featuring her with long pink hair styled in twintails, pointy ears, and small horns, along with a playful tail...

Version Detail

Uploaded

Jun 19, 2026 12:03 PM

Base Model

Anima

Epoch

Description

Trained on Anima Base 1 with diffusion-pipe Dataset updated to cutoff of 2026/06/14 Added partially supported characters: arcane \(arknights\) camille \(arknights\) feranmut proxy \(arknights\) *these characters have not released, so their designs are unknown/inconsistent. Training config: output_dir = '/mnt/d/anima/training_output/anima-base-1-arknights-v31' dataset = 'dataset-anima-arknights-s1.toml' # training settings epochs = 5 # Per-resolution batch sizes micro_batch_size_per_gpu = [[512, 64], [1024, 32], [1536, 16]] pipeline_stages = 1 gradient_accumulation_steps = 1 gradient_clipping = 1 warmup_steps = 250 lr_scheduler = 'cosine' # misc settings save_every_n_epochs = 1 activation_checkpointing = true partition_method = 'parameters' save_dtype = 'bfloat16' caching_batch_size = 1 map_num_proc = 8 steps_per_print = 1 compile = true [model] type = 'anima' transformer_path = '/mnt/c/workspace/models/diffusion_models/anima-base-v1.0.safetensors' vae_path = '/mnt/c/workspace/models/vae/qwen_image_vae.safetensors' llm_path = '/mnt/c/workspace/models/text_encoders/qwen_3_06b_base.safetensors' dtype = 'bfloat16' llm_adapter_lr = 1e-6 sigmoid_scale = 1.3 [adapter] type = 'lora' rank = 64 dtype = 'bfloat16' [optimizer] type = 'adamw_optimi' lr = 4e-5 betas = [0.9, 0.99] weight_decay = 0.01 eps = 1e-8

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