Update README.md

README.md

@@ -12,7 +12,7 @@ widget:
 license: gpl-3.0
 ---
 <Gallery />
-## ProteusV0.3-Lighting
+## ProteusV0.3-Lightning
 
 using the new lighting method released by bytedance for faster infernce with minial loss interms of quality and prompt comprehension.
 
@@ -23,9 +23,9 @@ Proteus serves as a sophisticated enhancement over OpenDalleV1.1, leveraging its
 In pursuit of optimal performance, numerous LORA (Low-Rank Adaptation) models are trained independently before being selectively incorporated into the principal model via dynamic application methods. These techniques involve targeting particular segments within the model while avoiding interference with other areas during the learning phase. Consequently, Proteus exhibits marked improvements in portraying intricate facial characteristics and lifelike skin textures, all while sustaining commendable proficiency across various aesthetic domains, notably surrealism, anime, and cartoon-style visualizations.
 
 
-## Settings for ProteusV0.3-Lighting
+## Settings for ProteusV0.3-Lightning
 
-Use these settings for the best results with ProteusV0.3-Lighting:
+Use these settings for the best results with ProteusV0.3-Lightning:
 
 CFG Scale: Use a CFG scale of 1 to 2
 
@@ -59,7 +59,7 @@ vae = AutoencoderKL.from_pretrained(
 
 # Configure the pipeline
 pipe = StableDiffusionXLPipeline.from_pretrained(
-    "dataautogpt3/ProteusV0.3-Lighting", 
+    "dataautogpt3/ProteusV0.3-Lightning", 
     vae=vae,
     torch_dtype=torch.float16
 )