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import gradio as gr
import torch
from diffusers import StableDiffusionImg2ImgPipeline
from PIL import Image
import numpy as np
# Load pre-trained model (no fine-tuning required)
pipe = StableDiffusionImg2ImgPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5",
torch_dtype=torch.float16
).to("cuda")
def generate_thumbnail(prompt, input_image):
if input_image is None or prompt.strip() == "":
return None
# Convert image to 512x512
input_image = input_image.resize((512, 512))
result = pipe(prompt=prompt, image=input_image, strength=0.75, guidance_scale=7.5).images[0]
return result
gr.Interface(
fn=generate_thumbnail,
inputs=[
gr.Textbox(label="Prompt (e.g. 'NOOB vs PRO Minecraft epic battle')"),
gr.Image(label="Background Image", type="pil")
],
outputs=gr.Image(label="Generated Thumbnail"),
title="🖼️ AI Thumbnail Generator (Stable Diffusion)",
description="Upload a background + write your prompt to generate a Minecraft-style thumbnail using Stable Diffusion v1.5"
).launch() |