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RobertLau/Genshin_LoRA
Genshin_LoRA is a machine learning model from RobertLau. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Manually captured 64 characters at different angles in the character directory of the Genshin game, 20 pictures for each character. You can get data from RobertLau/Genshin.
Downloads · 30 days
0
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Updated Nov 15, 2025
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2.4 GB
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.safetensors2.4 GB · 100%
From the Hugging Face model README
Manually captured 64 characters at different angles in the character directory of the Genshin game, 20 pictures for each character. You can get data from RobertLau/Genshin.
Training code: lora-scripts.
Batch training code: batch_train_loras.
prompt:
1[Gender], solo, [EN_Name], [Arbitrary scene description]
For example:
"1girl, solo, Nahida, on the playground
Negative prompt (You can choose the following three ways):
1. \
2. (((NSFW))),poorly drawn, anatomical nonsense, bad anatomy, bad feet, bad hands, bad proportions, quality
3. (worst quality, low quality:1.4), (monochrome:1.1), turn pale, text, watermark
from diffusers import StableDiffusionPipeline
import torch
model_id = "ckpt/anything-v3.0"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
lora_file = "Nahida.safetensors"
pipe.load_lora_weights(lora_file)
pipe = pipe.to("cuda")
prompt = "1girl, Nahida, solo, on the playground"
image = pipe(prompt).images[0]
image.save("./hatsune_miku.png")
Gender: girl
EN_Name: Nahida, YaeMiko, Ganyu
Arbitrary scene description: on the playground, in the classroom
