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import gradio as gr
import torch
from torch import autocast
from diffusers import StableDiffusionPipeline
def get_stable_diffusion_random_image(prompt):
model_id = "CompVis/stable-diffusion-v1-4"
device = "cuda"
pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True)
pipe = pipe.to(device)
with autocast("cuda"):
image = pipe(prompt, guidance_scale=7.5)["sample"][0]
print(image)
return image
iface = gr.Interface(fn=get_stable_diffusion_random_image, inputs=["text", "audio"], outputs="video")
iface.launch(share=True) |