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| import gradio as gr | |
| import gradio.components as comp | |
| import os | |
| api_key = os.environ.get("HUGGINGFACE_API_KEY") | |
| #model_list = [ | |
| # "stabilityai/stable-diffusion-xl-base-0.9", | |
| # "stabilityai/stable-diffusion-2-1", | |
| # "stabilityai/stable-diffusion-xl-refiner-0.9", | |
| # "stabilityai/stable-diffusion-2-1-base", | |
| # "stabilityai/stable-diffusion-2", | |
| # "stabilityai/stable-diffusion-2-inpainting", | |
| # "stabilityai/stable-diffusion-x4-upscaler", | |
| # "stabilityai/stable-diffusion-2-depth", | |
| # "stabilityai/stable-diffusion-2-base", | |
| # "stabilityai/stable-diffusion-2-1-unclip", | |
| # "helenai/stabilityai-stable-diffusion-2-1-base-ov", | |
| # "helenai/stabilityai-stable-diffusion-2-1-ov", | |
| # "stabilityai/stable-diffusion-2-1-unclip-small" | |
| #] | |
| #default_model = "stabilityai/stable-diffusion-2" | |
| #model_name = gr.inputs.Dropdown(choices=model_list, label="Select Model", default=default_model) | |
| #def generate_image(text, default_model): | |
| # model = gr.load(default_model, source="huggingface", api_key=api_key) | |
| # return model.predict(text) | |
| #input_text = gr.inputs.Textbox(label="Input Text") | |
| #output_image = comp.Image(label="Generated Image") | |
| #iface = gr.Interface( | |
| # fn=generate_image, | |
| # inputs=[input_text, default_model], | |
| # outputs=output_image, | |
| # title="Text to Image Generation", | |
| # description="Generate an image from input text using a Hugging Face model." | |
| #) | |
| #iface.launch() | |
| title = "text to image stable diffusion xl" | |
| gr.Interface.load("models/stabilityai/stable-diffusion-2-1", title=title).launch() | |
| #gr.load("models/stabilityai/stable-diffusion-2-1-base").launch(auth=("admin", "pass")) |