File size: 1,681 Bytes
79396d3 3111b11 4e4eddd 3111b11 df81b05 3111b11 df81b05 3111b11 79396d3 3111b11 3b6bd68 3111b11 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
import os
os.system(
"pip install uvicorn --upgrade;\
pip install gradio==3.47.1;\
pip install transformers;\
pip install diffusers;\
pip install accelerate;\
pip install torch"
)
import gradio as gr
from PIL import Image
import torch
from diffusers import AutoPipelineForInpainting
from diffusers.utils import load_image
def draw_on_image(image, prompt):
print(image, prompt)
if not prompt:
return
init_image = load_image(
image["image"]
)
mask_image = load_image(
image["mask"]
)
res_image = pipeline(prompt=prompt, image=init_image, mask_image=mask_image, num_inference_steps=5).images[0]
return res_image
inputs = [
gr.Image(tool="sketch", label="Image", type="pil"),
gr.Text(max_lines=1)
]
if torch.cuda.is_available():
torch_dtype = torch.float16
device = "cuda"
else:
torch_dtype = torch.float32
device = "cpu"
pipeline = AutoPipelineForInpainting.from_pretrained(
"Lykon/absolute-reality-1.6525-inpainting", torch_dtype=torch_dtype
)
pipeline.to(device)
app = gr.Interface(draw_on_image, inputs=inputs, outputs="image", title="Stable Diffusion Inpainting", description="EN: To use it, you need to select an object in the image and enter in the prompt line what you want to see in place of this object.\n \nRU: Для использования, вам необходимо выделить объект на изображении и ввести в строку \"prompt\" то, что вы хотите видеть на месте данного объекта.\n \nTelegram channel of the author: t.me/PyWebChan")
app.queue()
app.launch(share=True) |