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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 <a href="https://huggingface.co/stabilityai/stable-diffusion-2-1">AlStable</a> Stable Diffusion model.""", | |
article=article, | |
api_key=API_KEY | |
) | |
sandbox.queue(concurrency_count=20).launch() | |