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import gradio as gr
from diffusers import StableDiffusionPipeline
import torch
# λͺ¨λΈ λ‘œλ“œ
model_id = "stabilityai/stable-diffusion-2" # λ˜λŠ” μ΅œμ‹  버전 μ‚¬μš© κ°€λŠ₯
pipe = StableDiffusionPipeline.from_pretrained(
model_id,
torch_dtype=torch.float16,
revision="fp16",
use_auth_token=True # HF_TOKEN ν•„μš” μ‹œ
)
pipe.to("cuda")
# 생성 ν•¨μˆ˜
def generate_image(prompt):
image = pipe(prompt, guidance_scale=7.5).images[0]
return image
# Gradio μΈν„°νŽ˜μ΄μŠ€ ꡬ성
with gr.Blocks() as demo:
gr.Markdown("# πŸ–ΌοΈ 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()