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dddsaty/animagine-xl-jingliu-lora
animagine-xl-jingliu-lora is a text-to-image model from dddsaty. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
A LoRA fine-tuned model based on Animagine XL 4.0 for generating images of Jingliu character from Honkai: Star Rail.
Downloads · 30 days
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From the Hugging Face model README
A LoRA fine-tuned model based on Animagine XL 4.0 for generating images of Jingliu character from Honkai: Star Rail.
This model is a Low-Rank Adaptation (LoRA) fine-tuning of Animagine XL 4.0, specialized for generating high-quality anime-style images of the Jingliu character. The model has been trained on a curated dataset of 101 images featuring various poses, expressions, and scenarios.
import torch
from diffusers import StableDiffusionXLPipeline
# Load base model
pipeline = StableDiffusionXLPipeline.from_pretrained(
"cagliostrolab/animagine-xl-4.0",
torch_dtype=torch.float16
)
pipeline = pipeline.to("cuda")
# Load LoRA weights
pipeline.load_lora_weights("dddsaty/animagine-xl-jingliu-lora")
# Generate image
prompt = "jingliu, 1girl, solo, long hair, red eyes, holding, weapon, white hair, sword, dynamic pose, glowing eyes, blue theme"
negative_prompt = "nsfw, lowres, bad anatomy, bad hands, text, error, worst quality, low quality"
image = pipeline(
prompt=prompt,
negative_prompt=negative_prompt,
num_inference_steps=30,
guidance_scale=7.5,
height=1024,
width=1024
).images[0]
image.save("jingliu_output.png")
import torch
from diffusers import StableDiffusionXLPipeline
# Load merged model directly
pipeline = StableDiffusionXLPipeline.from_pretrained(
"dddsaty/animagine-xl-jingliu-lora",
torch_dtype=torch.float16
)
pipeline = pipeline.to("cuda")
# Generate image
prompt = "jingliu, 1girl, solo, long hair, red eyes, holding, weapon, white hair, sword, dynamic pose, glowing eyes, blue theme"
negative_prompt = "nsfw, lowres, bad anatomy, bad hands, text, error, worst quality, low quality"
image = pipeline(
prompt=prompt,
negative_prompt=negative_prompt,
num_inference_steps=30,
guidance_scale=7.5,
).images[0]
image.save("jingliu_output.png")
This model inherits the license from the base model Animagine XL 4.0. Please refer to the original license for usage terms.
If you use this model, please credit:
@misc{animagine-xl-jingliu-lora,
author = {Your Name},
title = {Animagine XL 4.0 - Jingliu LoRA},
year = {2025},
publisher = {HuggingFace},
howpublished = {\url{https://huggingface.co/YOUR_USERNAME/animagine-xl-jingliu-lora}}
}
Base model:
@misc{animagine-xl-4.0,
author = {Cagliostro Research Lab},
title = {Animagine XL 4.0},
year = {2024},
publisher = {HuggingFace},
howpublished = {\url{https://huggingface.co/cagliostrolab/animagine-xl-4.0}}
}