import gradio as gr models = { "NSFW Master": gr.load("models/pimpilikipilapi1/NSFW_master"), "NSFW TrioHMH Flux": gr.load("models/DiegoJR1973/NSFW-TrioHMH-Flux"), "Flux LoRA Uncensored": 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(text, negative_prompt): result_images = {} for model_name, model in models.items(): try: result_images[model_name] = model(text, negative_prompt=negative_prompt) except TypeError: result_images[model_name] = model(text) return [result_images[model_name] for model_name in models] interface = gr.Interface( fn=generate_image, 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=model_name) for model_name in models], 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()