jiangzeyinzi/SD15-LORA-3DStyle-202405222331-v2

SD15-LORA-3DStyle-202405222331-v2

Model Introduction

test-v2

Model Parameters

Base Model	Tuner Type	Training Parameters
Base Model	Tuner Type	Batch Size	Epochs	Learning Rate	Resolution
SD1.5	LORA	2	100	0.0001	[512, 512]

Data Type	Data Space	Data Name	Data Subset
Dataset zip		/mnt/codespace/yinzi/project/scepter/scepter_gitlab_dev/scepter/cache/scepter_ui/datasets/scepter_txt2img_3D_example

Model Performance

Given the input "a boy wearing a jacket," the following image may be generated:

Model Usage

Command Line Execution

Run using Scepter's SDK, taking care to use different configuration files in accordance with the different base models, as per the corresponding relationships shown below

Base Model	LORA	SCE	TEXT_LORA	TEXT_SCE
Base Model	SD1.5	lora_cfg	sce_cfg	text_lora_cfg	text_sce_cfg
SD2.1		lora_cfg	sce_cfg	text_lora_cfg	text_sce_cfg
		SDXL	lora_cfg	sce_cfg	text_lora_cfg	text_sce_cfg

Running from Source Code

git clone https://github.com/modelscope/scepter.git
cd scepter
pip install -r requirements/recommended.txt
PYTHONPATH=. python scepter/tools/run_inference.py
  --pretrained_model {this model folder}
  --cfg {lora_cfg} or {sce_cfg} or {text_lora_cfg} or {text_sce_cfg}
  --prompt 'a boy wearing a jacket'
  --save_folder 'inference'

Running after Installing Scepter (Recommended)

pip install scepter
python -m scepter/tools/run_inference.py
  --pretrained_model {this model folder}
  --cfg {lora_cfg} or {sce_cfg} or {text_lora_cfg} or {text_sce_cfg}
  --prompt 'a boy wearing a jacket'
  --save_folder 'inference'

Running with Scepter Studio

pip install scepter
# Launch Scepter Studio
python -m scepter.tools.webui

Refer to the following guides for model usage.

(video url)

Model Reference

If you wish to use this model for your own purposes, please cite it as follows.

@misc{SD15-LORA-3DStyle-202405222331-v2,
    title = {SD15-LORA-3DStyle-202405222331-v2, https://huggingface.co/jiangzeyinzi/SD15-LORA-3DStyle-202405222331-v2},
    author = {jiangzeyinzi},
    year = {2024}
}

This model was trained using Scepter Studio; Scepter is an algorithm framework and toolbox developed by the Alibaba Tongyi Wanxiang Team. It provides a suite of tools and models for image generation, editing, fine-tuning, data processing, and more. If you find our work beneficial for your research, please cite as follows.

@misc{scepter,
    title = {SCEPTER, https://github.com/modelscope/scepter},
    author = {SCEPTER},
    year = {2023}
}