Update app.py

app.py

@@ -38,7 +38,7 @@ with open('loras.json', 'r') as f:
 
 # Initialize the base model
 dtype = torch.bfloat16
-base_model = "AlekseyCalvin/Artsy_Lite_Flux_v1_by_jurdn_Diffusers"
+base_model = "shuttleai/shuttle-jaguar"
 pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=dtype).to("cuda")
 #pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=torch.float16).to("cuda")
 torch.cuda.empty_cache()
@@ -155,7 +155,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
     )
     	    # Info blob stating what the app is running
     info_blob = gr.HTML(
-        """<div id="info_blob"> Img. Manufactory Running On: ArtsyLite Flux model. Nearly all of the LoRA adapters accessible via this space were trained by us in an extensive progression of inspired experiments and conceptual mini-projects. Check out our poetry translations at WWW.SILVERagePOETS.com Find our music on SoundCloud @ AlekseyCalvin & YouTube @ SilverAgePoets / AlekseyCalvin!  </div>"""
+        """<div id="info_blob"> Img. Manufactory Running On: the Shuttle Jaguar Model (a fast open offshoot of FLUX). Nearly all of the LoRA adapters accessible via this space were trained by us in an extensive progression of inspired experiments and conceptual mini-projects. Check out our poetry translations at WWW.SILVERagePOETS.com Find our music on SoundCloud @ AlekseyCalvin & YouTube @ SilverAgePoets / AlekseyCalvin!  </div>"""
     )
 
         # Info blob stating what the app is running