import os import gradio as gr API_KEY=os.environ.get('HUGGING_FACE_HUB_TOKEN', None) article = """--- This space was created using [SD Space Creator](https://huggingface.co/spaces/anzorq/sd-space-creator).""" gr.Interface.load( name="models/darkstorm2150/Protogen_x3.4_Official_Release", title="""🤗 No-code Gradio Demo Tutorial""", description="""Demo for Protogen X3.4 Official Release Stable Diffusion model. This space contains a Gradio demo that was created **without typing any code**! It enables you to generate photorealistic images based on a prompt. Here are the steps to take to create your own demo *in a few minutes* without any code: 1. You can easily create a demo using [this HF space](https://huggingface.co/spaces/anzorq/sd-space-creator). You will have to provide a token with write access to continue as shown in the image below:

gradio-demo-tutorial-1

2. If your token is valid, a prompt will enable you to specify the URL or ID of the model on the HF Hub you would like to use in this demo. For example [darkstorm2150/Protogen_x3.4_Official_Release](https://huggingface.co/darkstorm2150/Protogen_x3.4_Official_Release), which is a diffusion model able to generate photorealistic images from a prompt. Click on "Load model".

gradio-demo-tutorial-2

3. Then, you can specify a few details about your demo, such as: - Name - Title - Description - Space type - Hardware (CPU? GPU?) Click on "Create the space". Your space will now be getting built.

gradio-demo-tutorial-3

4. Once your space is built, you can reach it at https://huggingface.co/spaces/SPACE_NAME. 5. You can enter a prompt to generate an image with the space you just built! The demo embedded in this space was created that way without typing any code!

gradio-demo-tutorial-5

""", article=article, api_key=API_KEY, ).queue(concurrency_count=20).launch()