Improve model card: Add pipeline tag, library name, and license

This PR improves the model card by specifying the library name (Diffusers), the pipeline tag, and license. This helps improve the discoverability of the model.

README.md

@@ -4,6 +4,9 @@ base_model:
 tags:
 - LoRA
 - cogvideo
+pipeline_tag: text-to-video
+library_name: diffusers
+license: apache-2.0
 ---
 
 # Arcane CogVideoX LoRA v1
@@ -15,7 +18,7 @@ tags:
 
 ## Important Notes:
 
-This CogVideoX LoRA is created as part of a <b>fan project</b> for <b>research purposes</b> only and is <b>not</b> intended for commercial use. It is based on the TV series called Arcane which are protected by copyright. Users utilize the model at their own risk. Users are obligated to comply with copyright laws and applicable regulations. The model has been developed for non-commercial purposes, and it is not my intention to infringe on any copyright. I assume no responsibility for any damages or legal consequences arising from the use of the model. 
+This CogVideoX LoRA is created as part of a <b>fan project</b> for <b>research purposes</b> only and is <b>not</b> intended for commercial use. It is based on the TV series called Arcane which are protected by copyright. Users utilize the model at their own risk. Users are obligated to comply with copyright laws and applicable regulations. The model has been developed for non-commercial purposes, and it is not my intention to infringe on any copyright.
 
 - Despite the LoRA started to learn the appearance of the main characters it still doesn't able to reproduce them accurately. So don't expect to see your beloved characters.
 - For the best quality do not use quantization (like fp8) or sage attention
@@ -29,7 +32,7 @@ Use these in your prompt helps providing the style. See example prompt above.
 - csetiarcane
 
 ## Character Tokens:
-I used tokens to tag characters. Unfortunately, it didn't properly learn their appearances, so don't expect to see your favorite characters. However, since it associates certain character features with the tokens, it might help with character consistency. 
+I used tokens to tag characters. Unfortunately, it didn't properly learn their appearances, so don't expect to see your favorite characters. However, since it associates certain character features with the tokens, it might help with character consistency.
 
 | Token | Character |
 |--------|-----------|
@@ -68,7 +71,6 @@ pipe.set_adapters(["cogvideox-lora"], [1.0])
 
 video = pipe("CSETIARCANE. The video is focusing on girl with blue hair. Her expression transitions subtly across the frames, starting from a somber or contemplative look and progressing to one that appears more engaged or possibly surprised. The lighting is dim and moody, emphasizing shadows and creating a dramatic effect around the character's features. The background remains consistently dark throughout the sequence, ensuring the focus stays solely on the character's changing expressions.").frames[0]
 export_to_video(video, "output.mp4", fps=8)
-
 ```
 
 ## Acknowledgment: