Update app.py

app.py

@@ -41,7 +41,7 @@ def run_lora(prompt, selected_state, progress=gr.Progress(track_tqdm=True)):
     #token = os.getenv("API_TOKEN")
     payload = {
         "inputs": f"{prompt} {trigger_word}",
-        "parameters":{"negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)", "num_inference_steps": 30, "scheduler":"DPMSolverMultistepScheduler"},
+        "parameters":{"num_inference_steps": 30, "scheduler":"DPMSolverMultistepScheduler"},
     }
     #headers = {"Authorization": f"Bearer {token}"}
     
@@ -72,7 +72,7 @@ def run_lora(prompt, selected_state, progress=gr.Progress(track_tqdm=True)):
 
 
 with gr.Blocks(css="custom.css") as app:
-    title = gr.Markdown("# artificialguybr LoRA portfolio")
+    title = gr.Markdown("# Araminta K LoRA portfolio")
     description = gr.Markdown(
         "### This is my portfolio. Follow me on Twitter [@araminta_k](https://twitter.com/araminta_k). \n"
         "**Note**: The speed and generation quality are for demonstration purposes. "