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).""" class Model: def __init__(self, name, path="", prefix=""): self.name = name self.path = path self.prefix = prefix self.pipe_t2i = None self.pipe_i2i = None models = [ Model("Marvel","models/ItsJayQz/Marvel_WhatIf_Diffusion", "whatif style"), Model("Cyberpunk Anime Diffusion", "models/DGSpitzer/Cyberpunk-Anime-Diffusion", "dgs illustration style"), Model("Guan Yu Diffusion", "models/DGSpitzer/Guan-Yu-Diffusion", "Guan-Yu style"), Model("Portrait plus", "models/wavymulder/portraitplus", "portrait+ style"), Model("classic Disney", "models/nitrosocke/classic-anim-diffusion", "classic disney style"), Model("SD21","models/stabilityai/stable-diffusion-2-1", "sd21 default style") ] custom_model = "models/stabilityai/stable-diffusion-2-1" def selectModel(message): message = message.lower() for i in range(len(models)): if message.find(models[i].prefix)!=-1: c_model=models[i].path return c_model else: c_model=models[i].path return c_model sandbox = gr.Interface.load( fn= selectModel, name= custom_model, title="""AlStable sandbox""", inputs = gr.Textbox(label="Prompt", show_label=False, max_lines=2, placeholder="Enter your prompt", elem_id="input-prompt"), description="""Demo for AlStable Stable Diffusion model.""", article=article, api_key=API_KEY ) sandbox.queue(concurrency_count=20).launch()