26 lines
662 B
Python
26 lines
662 B
Python
|
import gradio as gr
|
||
|
from diffusers import StableDiffusionPipeline
|
||
|
import torch
|
||
|
|
||
|
|
||
|
model_id = "runwayml/stable-diffusion-v1-5"
|
||
|
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
|
||
|
pipe = pipe.to("cuda")
|
||
|
|
||
|
|
||
|
def text2image(prompt):
|
||
|
image = pipe(prompt).images[0]
|
||
|
|
||
|
return image
|
||
|
|
||
|
|
||
|
demo = gr.Interface(fn=text2image,
|
||
|
inputs='text',
|
||
|
outputs='image',
|
||
|
title = "text2image",
|
||
|
examples = ['a photo of an astronaut riding a horse on mars'])
|
||
|
|
||
|
|
||
|
if __name__ == "__main__":
|
||
|
demo.queue(concurrency_count=3).launch(server_name = "0.0.0.0", server_port = 7012)
|