Spaces:
Running
Running
import gradio as gr | |
from diffusers import StableDiffusionPipeline | |
import torch | |
# λͺ¨λΈ λ‘λ | |
model_id = "stabilityai/stable-diffusion-2" # λλ μ΅μ λ²μ μ¬μ© κ°λ₯ | |
pipe = StableDiffusionPipeline.from_pretrained( | |
model_id, | |
torch_dtype=torch.float16, | |
revision="fp16", | |
use_auth_token=True # HF_TOKEN νμ μ | |
) | |
pipe.to("cuda") | |
# μμ± ν¨μ | |
def generate_image(prompt): | |
image = pipe(prompt, guidance_scale=7.5).images[0] | |
return image | |
# Gradio μΈν°νμ΄μ€ κ΅¬μ± | |
with gr.Blocks() as demo: | |
gr.Markdown("# πΌοΈ Text to Image Generator") | |
with gr.Row(): | |
prompt_input = gr.Textbox(label="Prompt", placeholder="Enter a description...") | |
generate_button = gr.Button("Generate") | |
output_image = gr.Image(label="Generated Image") | |
generate_button.click(fn=generate_image, inputs=prompt_input, outputs=output_image) | |
# μ€ν | |
demo.launch() | |