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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")) |