Add pipeline tag: text-to-image

This PR adds the `pipeline_tag: text-to-image` to the model card metadata, making the model discoverable through the Hugging Face model search functionality for text-to-image pipelines.

README.md

@@ -1,13 +1,14 @@
 ---
-license: apache-2.0
 language:
 - en
 library_name: diffusers
+license: apache-2.0
 tags:
 - text-to-image
 - stable diffusion
 - personalization
 - msdiffusion
+pipeline_tag: text-to-image
 ---
 
 # Introduction
@@ -31,4 +32,4 @@ Please refer to our [GitHub repository](https://github.com/MS-Diffusion/MS-Diffu
 - This repo only contains the trained model checkpoint without data, code, or base models. Please check the GitHub repository carefully to get detailed instructions.
 - The `scale` parameter is used to determine the extent of image control. For default, the `scale` is set to 0.6. In practice, the `scale` of 0.4 would be better if your input contains subjects needing to effect on the whole image, such as the background. **Feel free to adjust the `scale` in your applications.**
 - The model prefers to need layout inputs. You can use the default layouts in the inference script, while more accurate and realistic layouts generate better results.
-- Though MS-Diffusion beats SOTA personalized diffusion methods in both single-subject and multi-subject generation, it still suffers from the influence of background in subject images. The best practice is to use masked images since they contain no irrelevant information.
+- Though MS-Diffusion beats SOTA personalized diffusion methods in both single-subject and multi-subject generation, it still suffers from the influence of background in subject images. The best practice is to use masked images since they contain no irrelevant information.