File size: 1,239 Bytes
2aad98f 9535f4e 2aad98f 46c84e7 9535f4e 2aad98f 46c84e7 2aad98f e670e04 2aad98f 46c84e7 bda4f19 46c84e7 bda4f19 46c84e7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
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=999999999999999999, randomize=True)],
outputs='image', title="OpenJourney V2 CPU", description="OJ V2 CPU. <b>WARNING:</b> Extremely Slow. 35s/Iteration. Expect 8-16mins an image for 15-30 iterations respectively.",
article = "Code Monkey: <a href=\"https://huggingface.co./Manjushri\">Manjushri</a>").launch(debug=True, max_threads=True) |