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Create app.py
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app.py
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import gradio as gr
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import torch
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from diffusers import StableDiffusionImg2ImgPipeline
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from PIL import Image
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# Initialize pipeline
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dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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pipe = StableDiffusionImg2ImgPipeline.from_pretrained(
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"nitrosocke/Ghibli-Diffusion",
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torch_dtype=dtype
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).to("cuda" if torch.cuda.is_available() else "cpu")
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def process_image(input_img):
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if input_img is None:
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return None
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# Convert and resize input
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input_img = input_img.convert("RGB").resize((512, 512))
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# Generate output
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result = pipe(
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prompt="ghibli style, studio ghibli, anime art",
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image=input_img,
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strength=0.7,
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guidance_scale=10
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).images[0]
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return result
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# Create Gradio interface
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demo = gr.Interface(
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fn=process_image,
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inputs=gr.Image(type="pil"),
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outputs=gr.Image(type="pil"),
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title="🎨 Ghibli Style Transfer",
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description="Upload an image to transform it into Studio Ghibli style artwork"
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)
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demo.launch()
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