[Easy] fix: save_model_card utility of the DreamBooth SDXL LoRA script (huggingface#7258)

* fix: save_model_card utility.

* fix a little more to make it more lenient.

* remove lower()

Author: sayakpaul

examples/dreambooth/train_dreambooth_lora_sdxl.py

@@ -114,7 +114,7 @@ def save_model_card(
             )
 
     model_description = f"""
-# {'SDXL' if 'playgroundai' not in base_model else 'Playground'} LoRA DreamBooth - {repo_id}
+# {'SDXL' if 'playground' not in base_model else 'Playground'} LoRA DreamBooth - {repo_id}
 
 <Gallery />
 
@@ -139,7 +139,7 @@ def save_model_card(
 [Download]({repo_id}/tree/main) them in the Files & versions tab.
 
 """
-    if "playgroundai" in args.pretrained_model_name_or_path:
+    if "playground" in base_model:
         model_description += """\n
 ## License
 
@@ -148,7 +148,7 @@ def save_model_card(
     model_card = load_or_create_model_card(
         repo_id_or_path=repo_id,
         from_training=True,
-        license="openrail++" if "playgroundai" not in base_model else "playground-v2dot5-community",
+        license="openrail++" if "playground" not in base_model else "playground-v2dot5-community",
         base_model=base_model,
         prompt=instance_prompt,
         model_description=model_description,
@@ -162,7 +162,7 @@ def save_model_card(
         "lora" if not use_dora else "dora",
         "template:sd-lora",
     ]
-    if "playgroundai" in base_model:
+    if "playground" in base_model:
         tags.extend(["playground", "playground-diffusers"])
     else:
         tags.extend(["stable-diffusion-xl", "stable-diffusion-xl-diffusers"])
@@ -206,7 +206,7 @@ def log_validation(
     # Currently the context determination is a bit hand-wavy. We can improve it in the future if there's a better
     # way to condition it. Reference: https://github.com/huggingface/diffusers/pull/7126#issuecomment-1968523051
     inference_ctx = (
-        contextlib.nullcontext() if "playgroundai" in args.pretrained_model_name_or_path else torch.cuda.amp.autocast()
+        contextlib.nullcontext() if "playground" in args.pretrained_model_name_or_path else torch.cuda.amp.autocast()
     )
 
     with inference_ctx:
@@ -1509,7 +1509,7 @@ def compute_text_embeddings(prompt, text_encoders, tokenizers):
     if accelerator.is_main_process:
         tracker_name = (
             "dreambooth-lora-sd-xl"
-            if "playgroundai" not in args.pretrained_model_name_or_path
+            if "playground" not in args.pretrained_model_name_or_path
             else "dreambooth-lora-playground"
         )
         accelerator.init_trackers(tracker_name, config=vars(args))