app.py

from contextlib import nullcontext
import gradio as gr
import torch
from torch import autocast
from diffusers import StableDiffusionPipeline


device = "cuda" if torch.cuda.is_available() else "cpu"
context = autocast if device == "cuda" else nullcontext
dtype = torch.float16 if device == "cuda" else torch.float32

pipe = StableDiffusionPipeline.from_pretrained("ringhyacinth/nail-set-diffuser", torch_dtype=dtype)
pipe = pipe.to(device)


# Disable nsfw checker
disable_safety = True

if disable_safety:
  def null_safety(images, **kwargs):
      return images, False
  pipe.safety_checker = null_safety


def infer(prompt, n_samples, steps, scale):

    with context("cuda"):
        images = pipe(n_samples*[prompt], guidance_scale=scale, num_inference_steps=steps).images

    return images



examples = [
    [
        'Nail Set, hamilton nail, broadway musical theme nail.',
        2,
        7,
    ],
    [
        'Nail Set, chinese new year nail, super detailed',
        2,
        7,
    ],
    [
        'Nail Set, thanksgiving nail, super detailed',
        2,
        7,
    ],
]

with block:
    gr.HTML(
        """
            <div style="text-align: center; max-width: 650px; margin: 0 auto;">
              <div>
                <img class="logo" src="https://cdn.discordapp.com/attachments/973596613933146123/1043954179481276416/747251668968350_.pic.jpg" alt="Weekend and Hyacinth Logo"
                    style="margin: auto; max-width: 7rem;">
                <h1 style="font-weight: 900; font-size: 3rem; margin-top: 25px; margin-bottom: 25px;">
                  Text to Nail set
                </h1>
              </div>
              <p style="margin-bottom: 5px; font-size: 94%">
              Generate a new Nail Set from a text description. Use the token {Nail Set} in your prompts for the effect.
              </p>
            </div>
        """
    )
    with gr.Group():
        with gr.Box():
            with gr.Row().style(mobile_collapse=False, equal_height=True):
                text = gr.Textbox(
                    label="Enter your prompt",
                    show_label=False,
                    max_lines=1,
                    placeholder="Enter your prompt",
                ).style(
                    border=(True, False, True, True),
                    rounded=(True, False, False, True),
                    container=False,
                )
                btn = gr.Button("Generate image").style(
                    margin=False,
                    rounded=(False, True, True, False),
                )

        gallery = gr.Gallery(
            label="Generated images", show_label=False, elem_id="gallery"
        ).style(grid=[2], height="auto")


        with gr.Row(elem_id="advanced-options"):
            samples = gr.Slider(label="Images", minimum=1, maximum=4, value=2, step=1)
            steps = gr.Slider(label="Steps", minimum=50, maximum=100, value=50, step=5)
            scale = gr.Slider(
                label="Guidance Scale", minimum=0, maximum=50, value=7.5, step=0.1
            )


        ex = gr.Examples(examples=examples, fn=infer, inputs=[text, samples, scale], outputs=gallery, cache_examples=False)
        ex.dataset.headers = [""]


        text.submit(infer, inputs=[text, samples, steps, scale], outputs=gallery)
        btn.click(infer, inputs=[text, samples, steps, scale], outputs=gallery)
        gr.HTML(
            """
                <div class="footer">
                    <p> Nail Diffuser by 💅 Weekend and Hyacinth
                    </p>
                </div>
                <div class="acknowledgments">
                    <p> Use the tokens {Nail Set} in your prompts for the effect.
                    <p> Put in a text prompt and generate your own nail set!
                    <p> Trained by Weekend and Hyacinth </p>
               </div>
           """
        )

block.launch()