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import gradio as gr | |
from diffusers import StableDiffusionPipeline | |
import torch | |
def dummy(images, **kwargs): return images, False | |
def generate_image(prompt): | |
model_id = "prompthero/openjourney-v4" | |
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) | |
pipe.safety_checker = dummy | |
pipe = pipe.to("cuda") | |
image = pipe(prompt).images[0] | |
return image | |
iface = gr.Interface( | |
generate_image, | |
"textbox", | |
"image", | |
title="Image Generator", | |
description="Generate a realistic photo using prompts.", | |
examples=[["realistic! photoshoot for a new balenciaga lookbook, color film photography, portrait of a beautiful woman wearing a balaclava mask, photo in style of tyler mitchell, 35mm lens"]], | |
) | |
iface.launch() |