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import gradio as gr
import torch
import numpy as np
import modin.pandas as pd
from PIL import Image
from diffusers import DiffusionPipeline, StableDiffusionLatentUpscalePipeline
css = """
<style>
.finetuned-diffusion-div {
text-align: center;
max-width: 700px;
margin: 0 auto;
}
.finetuned-diffusion-div div {
display: inline-flex;
align-items: center;
gap: 0.8rem;
font-size: 1.75rem;
}
.finetuned-diffusion-div div h1 {
font-weight: 900;
margin-bottom: 7px;
}
.finetuned-diffusion-div p {
margin-bottom: 10px;
font-size: 94%;
}
.finetuned-diffusion-div p a {
text-decoration: underline;
}
</style>
device = "cuda" if torch.cuda.is_available() else "cpu"
pipe = DiffusionPipeline.from_pretrained("dreamlike-art/dreamlike-photoreal-2.0", torch_dtype=torch.float16, safety_checker=None)
upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16)
upscaler = upscaler.to(device)
pipe = pipe.to(device)
def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale, upscale_prompt, upscale_neg, upscale_scale, upscale_steps):
generator = torch.Generator(device=device).manual_seed(seed)
if upscale == "Yes":
low_res_latents = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator, output_type="latent").images
image = upscaler(prompt=upscale_prompt, negative_prompt=upscale_neg, image=low_res_latents, num_inference_steps=upscale_steps, guidance_scale=upscale_scale, generator=generator).images[0]
else:
image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator).images[0]
return image
gr.Interface(theme='HaleyCH/HaleyCH_Theme', fn=genie, inputs=[gr.Textbox(label='Input field right under here(Prompt)'),
gr.Textbox(label='What You dont want (Negative Prompt)'),
gr.Slider(512, 1024, 768, step=128, label='Height'),
gr.Slider(512, 1024, 768, step=128, label='Width'),
gr.Slider(1, maximum=15, value=10, step=.25),
gr.Slider(25, maximum=100, value=50, step=25),
gr.Slider(minimum=1, step=1, maximum=9999999999999999, randomize=True),
gr.Radio(["Yes", "No"], label='Upscale?'),
gr.Textbox(label='Upscaler Prompt: Optional'),
gr.Textbox(label='Upscaler Negative Prompt: Both Optional And Experimental'),
gr.Slider(minimum=0, maximum=15, value=0, step=1, label='Upscale Guidance Scale'),
gr.Slider(minimum=5, maximum=25, value=5, step=5, label='Upscaler Iterations')
],
outputs=gr.Image(label='Generated Image'),
title="Our Free Image Creator",
description="<br><br><b/> TIPS:<br>To get the best result read the instructions undeneath the App.<br> This Free App is slow producing Images.<br> Join us , And get access to this App and many more. They work faster and have more advanced features",
article = "Online App: <a href=\"https://www.aichatbot.ai\">www.aichatbot.ai</a>").launch(debug=True, max_threads=True)
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