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 process_image(model, prompt, negative_prompt=None, supports_negative_prompt=True):
    try:
        if "master" in str(model):
            prompt += " 2k"
        elif "Diego" in str(model):
            prompt += " 8k"
        else:
            prompt += " 10k"


        if supports_negative_prompt and negative_prompt:
            return model(prompt, negative_prompt=negative_prompt)
        else:
            return model(prompt)
    except TypeError:
        return model(prompt)


def generate_images(prompt, negative_prompt):

    output_1 = process_image(model_1, prompt, negative_prompt, True)
    output_2 = process_image(model_2, prompt, negative_prompt, False)
    output_3 = process_image(model_3, prompt, negative_prompt, True)

    outputs = []
    for output in [output_1, output_2, output_3]:
        if isinstance(output, tuple):
            outputs.append(None)
        else:
            outputs.append(output)

    return outputs

# Gradio Interface
interface = gr.Interface(
    fn=generate_images,
    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) 🔞",
    theme="NoCrypt/miku",
    description="⚠️ Sorry for the inconvenience. The model is currently running on the CPU, which might affect performance. We appreciate your understanding.",
)

interface.launch(share=True)