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| from diffusers import DiffusionPipeline | |
| pipe = DiffusionPipeline.from_pretrained("prompthero/openjourney") | |
| # prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" | |
| # image = pipe(prompt).images[0] | |
| def generate(input_prompt): | |
| generations = pipe(input_prompt) | |
| generated_img = generations.images[0] | |
| return generated_img | |
| gradio_app = gr.Interface( | |
| generate, | |
| inputs=gr.Text(label="What kind of image would you like to generate?"), | |
| outputs=[gr.Image(label="Generated Image")], | |
| title="IMAGE GENERATION!!", | |
| ) | |
| if __name__ == "__main__": | |
| gradio_app.launch() |