Update app.py

app.py

@@ -141,11 +141,11 @@ with gr.Blocks(theme=theme, fill_width=True, css=css) as app:
                         with gr.Row():
                                 width = gr.Slider(label="Image Width", value=896, minimum=64, maximum=1216, step=32)
                                 height = gr.Slider(label="Image Height", value=1152, minimum=64, maximum=1216, step=32)
-                            strength = gr.Slider(label="Prompt Strength", value=100, minimum=0, maximum=100, step=1)    
-                            steps = gr.Slider(label="Sampling steps", value=50, minimum=1, maximum=100, step=1)
-                            cfg = gr.Slider(label="CFG Scale", value=3.5, minimum=1, maximum=20, step=0.5)
-                            seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)                           
-                            method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ 2S a Karras", "DPM2 Karras", "DPM2 a Karras", "DPM++ SDE Karras", "DPM Adaptive", "DPM++ 2M", "DPM2 Ancestral", "DPM++ S", "DPM++ SDE", "DDPM", "DPM Fast", "dpmpp_2s_ancestral",  "DEIS", "DDIM", "Euler CFG PP", "Euler", "Euler a", "Euler Ancestral", "Euler+beta", "Heun", "Heun PP2", "LMS", "LMS Karras", "PLMS", "UniPC", "UniPC BH2"])
+                                strength = gr.Slider(label="Prompt Strength", value=100, minimum=0, maximum=100, step=1)    
+                                steps = gr.Slider(label="Sampling steps", value=50, minimum=1, maximum=100, step=1)
+                                cfg = gr.Slider(label="CFG Scale", value=3.5, minimum=1, maximum=20, step=0.5)
+                                seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)                           
+                                method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ 2S a Karras", "DPM2 Karras", "DPM2 a Karras", "DPM++ SDE Karras", "DPM Adaptive", "DPM++ 2M", "DPM2 Ancestral", "DPM++ S", "DPM++ SDE", "DDPM", "DPM Fast", "dpmpp_2s_ancestral",  "DEIS", "DDIM", "Euler CFG PP", "Euler", "Euler a", "Euler Ancestral", "Euler+beta", "Heun", "Heun PP2", "LMS", "LMS Karras", "PLMS", "UniPC", "UniPC BH2"])
                         
                         with gr.Row(equal_height=True):
                             custom_lora = gr.Dropdown([" ", "prithivMLmods/Canopus-Pencil-Art-LoRA", "prithivMLmods/Flux-Realism-FineDetailed", "prithivMLmods/Fashion-Hut-Modeling-LoRA", "prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA", "prithivMLmods/Flux-Fine-Detail-LoRA", "prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA", "hugovntr/flux-schnell-realism", "fofr/sdxl-deep-down", "prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0", "prithivMLmods/Canopus-Realism-LoRA", "prithivMLmods/Canopus-LoRA-Flux-FaceRealism", "prithivMLmods/SD3.5-Large-Photorealistic-LoRA", "prithivMLmods/Flux.1-Dev-LoRA-HDR-Realism", "prithivMLmods/Ton618-Epic-Realism-Flux-LoRA", "KappaNeuro/john-singer-sargent-style", "KappaNeuro/alphonse-mucha-style", "ntc-ai/SDXL-LoRA-slider.ultra-realistic-illustration", "ntc-ai/SDXL-LoRA-slider.eye-catching", "KappaNeuro/john-constable-style", "dvyio/flux-lora-film-noir", "dvyio/flux-lora-pro-headshot"], label="Custom LoRA",)