Standardize model card for textual inversion sdxl (#6963)

* standardize model card

* fix tags

* correct import styling and update tags

* run make style and make quality

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

examples/textual_inversion/textual_inversion_sdxl.py

@@ -32,8 +32,6 @@ from accelerate import Accelerator
 from accelerate.logging import get_logger
 from accelerate.utils import ProjectConfiguration, set_seed
 from huggingface_hub import create_repo, upload_folder
-
-# TODO: remove and import from diffusers.utils when the new version of diffusers is released
 from packaging import version
 from PIL import Image
 from torch.utils.data import Dataset
@@ -51,6 +49,7 @@ from diffusers import (
 )
 from diffusers.optimization import get_scheduler
 from diffusers.utils import check_min_version, is_wandb_available
+from diffusers.utils.hub_utils import load_or_create_model_card, populate_model_card
 from diffusers.utils.import_utils import is_xformers_available
 
 
@@ -88,26 +87,31 @@ def save_model_card(repo_id: str, images=None, base_model=str, repo_folder=None)
         image.save(os.path.join(repo_folder, f"image_{i}.png"))
         img_str += f"![img_{i}](./image_{i}.png)\n"
 
-    yaml = f"""
----
-license: creativeml-openrail-m
-base_model: {base_model}
-tags:
-- stable-diffusion
-- stable-diffusion-diffusers
-- text-to-image
-- diffusers
-- textual_inversion
-inference: true
----
-    """
-    model_card = f"""
+    model_description = f"""
 # Textual inversion text2image fine-tuning - {repo_id}
 These are textual inversion adaption weights for {base_model}. You can find some example images in the following. \n
 {img_str}
 """
-    with open(os.path.join(repo_folder, "README.md"), "w") as f:
-        f.write(yaml + model_card)
+    model_card = load_or_create_model_card(
+        repo_id_or_path=repo_id,
+        from_training=True,
+        license="creativeml-openrail-m",
+        base_model=base_model,
+        model_description=model_description,
+        inference=True,
+    )
+
+    tags = [
+        "stable-diffusion-xl",
+        "stable-diffusion-xl-diffusers",
+        "text-to-image",
+        "diffusers",
+        "textual_inversion",
+    ]
+
+    model_card = populate_model_card(model_card, tags=tags)
+
+    model_card.save(os.path.join(repo_folder, "README.md"))
 
 
 def log_validation(