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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
device = "cuda" if torch.cuda.is_available() else "cpu"
pipe = DiffusionPipeline.from_pretrained("prompthero/openjourney-v2", safety_checker=None)
pipe = pipe.to(device)
def genie (prompt, scale, steps, seed):
generator = torch.Generator(device=device).manual_seed(seed)
images = pipe(prompt, num_inference_steps=steps, guidance_scale=scale, generator=generator).images[0]
return images
gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'),
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=987654321, randomize=True)],
outputs='image', title="OpenJourney V2 CPU", description="OJ V2 GPU.",
article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=True) |