Update README.md

README.md

@@ -1,25 +1,26 @@
----
-license: mit
-base_model:
-- Comfy-Org/Wan_2.2_ComfyUI_Repackaged
-pipeline_tag: text-to-video
-tags:
-- Lora
-- bunny
-- bhop
-- motion
----
+---
+license: mit
+base_model:
+- Comfy-Org/Wan_2.2_ComfyUI_Repackaged
+pipeline_tag: text-to-video
+tags:
+- Lora
+- bunny
+- bhop
+- motion
+---
 # Bunny hop Lora
 A lora trained on bunny hop clip from various counter strike gameplay.
 
-Trained only on the high noise of wan 2.2. trigger word is bhop
+Trained only on the high noise of wan 2.2. trigger word is `bhop`
 
 Lora has been tested with and without light lora.
 
 ## Prompt examples:
-bhop, POV handheld grenade, in a train station
-bhop, The camera rushes along the metallic surface of the ISS, Earth spinning below in swirls of blue and white. Sunlight gleams off the station’s silver hull, casting sharp highlights against the deep black of space. The camera tilts and rolls in a high-speed tracking shot, weaving through the complex architecture of the modules and solar panels. Without the presence of any crew or creatures, the station feels vast and silent, yet the camera moves with a kinetic, gravity-defying energy. The scene captures the immense scale of the cosmos while locked onto the intricate, shimmering details of the orbiting laboratory as it streaks through the void.
+```bhop, POV handheld grenade, in a train station```
 
+
+```bhop, The camera rushes along the metallic surface of the ISS, Earth spinning below in swirls of blue and white. Sunlight gleams off the station’s silver hull, casting sharp highlights against the deep black of space. The camera tilts and rolls in a high-speed tracking shot, weaving through the complex architecture of the modules and solar panels. Without the presence of any crew or creatures, the station feels vast and silent, yet the camera moves with a kinetic, gravity-defying energy. The scene captures the immense scale of the cosmos while locked onto the intricate, shimmering details of the orbiting laboratory as it streaks through the void.```
 ## Training info
 Trained on AI toolkit on a 5090 on runpod.
 - 2000 epochs