theluyuan/DiffSynth-Studio
1
0
Fork 0
mirror of https://github.com/modelscope/DiffSynth-Studio.git synced 2026-03-19 06:23:43 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Zhongjie Duan
2024-12-18 20:42:50 +08:00
committed by GitHub
parent 77e0617861
commit 95a0f0bedc
1 changed files with 7 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
examples/ArtAug/README.md
View File

@@ -11,7 +11,7 @@ This is a LoRA model trained for FLUX.1-dev, which enhances the aesthetic qualit
## Methodology
![](workflow.jpg)
![workflow](https://github.com/user-attachments/assets/cee969af-d49f-4480-911c-bedc1c095f9b)
The ArtAug project is inspired by reasoning approaches like GPT-o1, which rely on model interaction and self-correction. We developed a framework aimed at enhancing the capabilities of image generation models through interaction with image understanding models. The training process of ArtAug consists of the following steps:
@@ -35,9 +35,9 @@ Since this model is encapsulated in the universal FLUX LoRA format, it can be lo
|FLUX.1-dev|FLUX.1-dev + ArtAug LoRA|
|-|-|
|![](gallary/image_1_base.jpg)|![](gallary/image_1_enhance.jpg)|
|![](gallary/image_2_base.jpg)|![](gallary/image_2_enhance.jpg)|
|![](gallary/image_3_base.jpg)|![](gallary/image_3_enhance.jpg)|
|![](gallary/image_4_base.jpg)|![](gallary/image_4_enhance.jpg)|
|![](gallary/image_5_base.jpg)|![](gallary/image_5_enhance.jpg)|
|![](gallary/image_6_base.jpg)|![](gallary/image_6_enhance.jpg)|
|![image_1_base](https://github.com/user-attachments/assets/e1d5c505-b423-45fe-be01-25c2758f5417)|![image_1_enhance](https://github.com/user-attachments/assets/335908e3-d0bd-41c2-9d99-d10528a2d719)|
|![image_2_base](https://github.com/user-attachments/assets/7f38e8d4-3c62-492e-bd96-be60f0855037)|![image_2_enhance](https://github.com/user-attachments/assets/ae3a1daf-7a7c-44fd-bdbc-1d2a83bc3de3)|
|![image_3_base](https://github.com/user-attachments/assets/e2ae4879-9202-45d6-9df7-fbcbd2093d19)|![image_3_enhance](https://github.com/user-attachments/assets/4df6e5b9-65de-408b-88c6-51db39aad801)|
|![image_4_base](https://github.com/user-attachments/assets/dbc65387-60df-4a18-b1bb-45eaa5be5c1d)|![image_4_enhance](https://github.com/user-attachments/assets/fc19860d-3e28-468b-b013-8745255ac6db)|
|![image_5_base](https://github.com/user-attachments/assets/bb65c1ba-c0c6-4d3b-b3ef-bdbbb5f03a48)|![image_5_enhance](https://github.com/user-attachments/assets/03570c62-9a0b-428f-8c86-6e01c1421202)|
|![image_6_base](https://github.com/user-attachments/assets/18e9a4e7-2afd-4ca9-bc49-7736042c25dc)|![image_6_enhance](https://github.com/user-attachments/assets/aa73571f-098a-4e65-9eda-b9729ba379cd)|