Update app.py

app.py

@@ -1,54 +1,29 @@
 import gradio as gr
 
-
 model_1 = gr.load("models/pimpilikipilapi1/NSFW_master")
 model_2 = gr.load("models/DiegoJR1973/NSFW-TrioHMH-Flux")
 model_3 = gr.load("models/prashanth970/flux-lora-uncensored")
 
-
-default_negative_prompt = (
-    "Extra limbs, Extra fingers or toes, Disfigured face, Distorted hands, Mutated body parts, "
-    "Missing limbs, Asymmetrical features, Blurry face, Poor anatomy, Incorrect proportions, Crooked eyes, "
-    "Deformed hands or fingers, Double face, Unrealistic skin texture, Overly smooth skin, Poor lighting, "
-    "Cartoonish appearance, Plastic look, Grainy, Unnatural expressions, Crossed eyes, Mutated clothing, "
-    "Artifacts, Uncanny valley, Doll-like features, Bad symmetry, Uneven skin tones, Extra teeth, "
-    "Unrealistic hair texture, Dark shadows on face, Overexposed face, Cluttered background, Text, watermark, "
-    "or signature, Over-processed, Low quality, Blurry, Low resolution, Pixelated, Oversaturated, Too dark, Overexposed, Poor lighting, "
-    "Unclear, Text or watermark, Distorted faces, Extra limbs or fingers, Disfigured, Grainy, Overly stylized, Cartoonish, "
-    "Unrealistic anatomy, Bad proportions, Unrealistic colors, Artificial look, Background noise, Unwanted objects, Repetitive patterns, Artifacting, Abstract shapes, Out of focus"
-)
-
-
-def generate_image_model_1(prompt, negative_prompt):
+def generate_image_model_1(prompt):
     prompt += " 2k"
-    try:
-        return model_1(prompt, negative_prompt=negative_prompt)
-    except TypeError:
-        return model_1(prompt)
+    return model_1(prompt)
 
-def generate_image_model_2(prompt, negative_prompt):
+def generate_image_model_2(prompt):
     prompt += " 8k"
-    result = model_2(prompt)
-    if isinstance(result, tuple):
-        return result[0]
-    return result
+    return model_2(prompt)
 
-def generate_image_model_3(prompt, negative_prompt):
+def generate_image_model_3(prompt):
     prompt += " 10k"
-    try:
-        return model_3(prompt, negative_prompt=negative_prompt)
-    except TypeError:
-        return model_3(prompt)
+    return model_3(prompt)
 
 interface = gr.Interface(
-    fn=lambda prompt, negative_prompt: (
-        generate_image_model_1(prompt, negative_prompt),
-        generate_image_model_2(prompt, negative_prompt),
-        generate_image_model_3(prompt, negative_prompt)
+    fn=lambda prompt: (
+        generate_image_model_1(prompt),
+        generate_image_model_2(prompt),
+        generate_image_model_3(prompt)
     ),
     inputs=[
         gr.Textbox(label="Type your prompt here: ✍️", placeholder="Describe what you want..."),
-        gr.Textbox(label="Negative prompt:", value=default_negative_prompt),
     ],
     outputs=[
         gr.Image(label="Generated Image - Model 1"),