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, prompt, negative_prompt):
    """Generate image using the given model."""
    prompt += " high-resolution"
    try:
        output = model(prompt, negative_prompt=negative_prompt)
    except TypeError:
        output = model(prompt)

    if isinstance(output, tuple) and len(output) > 0:
        output = output[0]
    return output


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),
    ),
    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"),
        gr.Image(label="Generated Image - Model 2"),
        gr.Image(label="Generated Image - Model 3"),
    ],
    title="Text to Image (NSFW) 🔞",
    description="⚠️ Sorry for the inconvenience. The model is currently running on the CPU, which might affect performance. We appreciate your understanding.",
)

interface.launch()