app.py

import gradio as gr
import torch
import numpy as np
import modin.pandas as pd
from PIL import Image
from diffusers import DiffusionPipeline, StableDiffusionLatentUpscalePipeline

device = "cuda" if torch.cuda.is_available() else "cpu"
pipe = DiffusionPipeline.from_pretrained("dreamlike-art/dreamlike-photoreal-2.0", safety_checker=None)
upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", safety_checker=None)
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(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'), 
                               gr.Textbox(label='What you Do Not want the AI to generate. 77 Token Limit'),
                               gr.Slider(512, 768, 512, step=128, label='height'),
                               gr.Slider(512, 768, 512, step=128, label='width'),
                               gr.Slider(1, maximum=15, value=10, step=.25), 
                               gr.Slider(1, maximum=50, value=25, step=1), 
                               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 = 'image',
             title = 'PhotoReal V2 with SD 2.1 2X Upscaler - CPU', 
             description = "<b>WARNING:</b> Extremely Slow. 35s/Iteration. Expect 8-16mins an image for 15-30 iterations respectively. 50 iterations takes ~28mins.", 
             article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=True)