Update app.py
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app.py
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import gradio as gr
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import gradio as gr
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from optimum.intel import OVDiffusionPipeline
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import torch
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# Load the FLUX.1-schnell model optimized with OpenVINO (INT4)
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model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
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pipeline = OVDiffusionPipeline.from_pretrained(model_id, device="CPU")
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# Define the image generation function
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def generate_image(prompt):
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# Generate the image using the pipeline
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image = pipeline(prompt, num_inference_steps=4, guidance_scale=3.5).images[0]
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return image
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# Create the Gradio interface
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interface = gr.Interface(
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fn=generate_image,
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inputs=gr.Textbox(label="Enter your prompt", placeholder="e.g., A futuristic cityscape at sunset"),
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outputs=gr.Image(label="Generated Image"),
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title="FLUX.1-Schnell (OpenVINO INT4) Image Generator",
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description="Generate images from text prompts using FLUX.1-schnell optimized for CPU with OpenVINO.",
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examples=[["A serene mountain landscape"], ["A cyberpunk city at night"]],
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)
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# Launch the interface
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if __name__ == "__main__":
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interface.launch()
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