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| import gradio as gr | |
| from diffusers import DiffusionPipeline | |
| KEYWORDS = [ | |
| "cute", | |
| "small", | |
| "cartoon", | |
| ] | |
| PIPELINE = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0") | |
| PIPELINE.load_lora_weights("artificialguybr/LogoRedmond-LogoLoraForSDXL-V2") | |
| def predict(user_prompt: str): | |
| prompt = ", ".join(KEYWORDS) | |
| if user_prompt: | |
| prompt += ", " + user_prompt | |
| return PIPELINE(prompt).images[0] | |
| gradio_app = gr.Interface( | |
| predict, | |
| inputs=[ | |
| gr.Textbox(), | |
| ], | |
| outputs=[gr.Image()], | |
| title="Cute Logo Creator", | |
| ) | |
| if __name__ == "__main__": | |
| gradio_app.launch() | |