Update app.py

app.py

@@ -28,7 +28,7 @@ os.environ["HF_HOME"] = cache_path
 
 torch.backends.cuda.matmul.allow_tf32 = True
 
-pipe = FluxPipeline.from_pretrained("AlekseyCalvin/HistoricColorSoonr_v2_FluxSchnell_Diffusers", ignore_mismatched_sizes=True, torch_dtype=torch.bfloat16)
+pipe = FluxPipeline.from_pretrained("AlekseyCalvin/HSTcolor_FlexSoonr", ignore_mismatched_sizes=True, torch_dtype=torch.bfloat16)
 pipe.to(device="cuda", dtype=torch.bfloat16)
 
 model_id = ("zer0int/LongCLIP-GmP-ViT-L-14")
@@ -186,8 +186,8 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
         with gr.Accordion("Advanced Settings", open=True):
             with gr.Column():
                 with gr.Row():
-                    cfg_scale = gr.Slider(label="CFG Scale", minimum=0, maximum=20, step=0.5, value=0.5)
-                    steps = gr.Slider(label="Steps", minimum=1, maximum=50, step=1, value=6)
+                    cfg_scale = gr.Slider(label="CFG Scale", minimum=0, maximum=20, step=0.1, value=3.0)
+                    steps = gr.Slider(label="Steps", minimum=1, maximum=50, step=1, value=8)
                 
                 with gr.Row():
                     width = gr.Slider(label="Width", minimum=256, maximum=1536, step=64, value=1024)
@@ -196,7 +196,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
                 with gr.Row():
                     randomize_seed = gr.Checkbox(True, label="Randomize seed")
                     seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
-                    lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=2.0, step=0.01, value=0.9)
+                    lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=2.0, step=0.01, value=1.0)
 
     gallery.select(
         update_selection,