jiangzeyinzi/SD15-TEXT_LORA-3DStyle-20240523-test

SD15-TEXT_LORA-3DStyle-20240523-test

Model Introduction

test123

Model Parameters

Base Model	Tuner Type	Training Parameters
		Batch Size	Epochs	Learning Rate	Resolution
SD1.5	TEXT_LORA	4	50	0.0001	[512, 512]

Data Type	Data Space	Data Name	Data Subset
Dataset zip		/home/scepter/cache/scepter_ui/datasets/scepter_txt2img_3D_example	default

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
  	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-TEXT_LORA-3DStyle-20240523-test,
    title = {SD15-TEXT_LORA-3DStyle-20240523-test, https://huggingface.co/jiangzeyinzi/SD15-TEXT_LORA-3DStyle-20240523-test},
    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}
}