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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() |