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}
}