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import numpy as np | |
import gradio as gr | |
import ast | |
import requests | |
from theme_dropdown import create_theme_dropdown # noqa: F401 | |
dropdown, js = create_theme_dropdown() | |
models = [ | |
{"name": "Stable Diffusion 2", "url": "stabilityai/stable-diffusion-2-1"}, | |
{"name": "stability AI", "url": "stabilityai/stable-diffusion-2-1-base"}, | |
{"name": "Compressed-S-D", "url": "nota-ai/bk-sdm-small"}, | |
{"name": "Future Diffusion", "url": "nitrosocke/Future-Diffusion"}, | |
{"name": "JWST Deep Space Diffusion", "url": "dallinmackay/JWST-Deep-Space-diffusion"}, | |
{"name": "Robo Diffusion 3 Base", "url": "nousr/robo-diffusion-2-base"}, | |
{"name": "Robo Diffusion", "url": "nousr/robo-diffusion"}, | |
{"name": "Tron Legacy Diffusion", "url": "dallinmackay/Tron-Legacy-diffusion"}, | |
] | |
text_gen = gr.Interface.load("spaces/daspartho/prompt-extend") | |
current_model = models[0] | |
models2 = [] | |
for model in models: | |
model_url = f"models/{model['url']}" | |
loaded_model = gr.Interface.load(model_url, live=True, preprocess=True) | |
models2.append(loaded_model) | |
def text_it(inputs, text_gen=text_gen): | |
return text_gen(inputs) | |
def flip_text(x): | |
return x[::-1] | |
def send_it(inputs, model_choice): | |
proc = models2[model_choice] | |
return proc(inputs) | |
def flip_image(x): | |
return np.fliplr(x) | |
def set_model(current_model_index): | |
global current_model | |
current_model = models[current_model_index] | |
return gr.update(value=f"{current_model['name']}") | |
with gr.Blocks(theme='pikto/theme@>=0.0.1,<0.0.3') as pan: | |
gr.Markdown("AI CONTENT TOOLS.") | |
with gr.Tab("T-to-I"): | |
##model = ("stabilityai/stable-diffusion-2-1") | |
model_name1 = gr.Dropdown( | |
label="Choose Model", | |
choices=[m["name"] for m in models], | |
type="index", | |
value=current_model["name"], | |
interactive=True, | |
) | |
input_text = gr.Textbox(label="Prompt idea",) | |
## run = gr.Button("Generate Images") | |
with gr.Row(): | |
see_prompts = gr.Button("Generate Prompts") | |
run = gr.Button("Generate Images", variant="primary") | |
with gr.Row(): | |
magic1 = gr.Textbox(label="Generated Prompt", lines=2) | |
output1 = gr.Image(label="") | |
with gr.Row(): | |
magic2 = gr.Textbox(label="Generated Prompt", lines=2) | |
output2 = gr.Image(label="") | |
run.click(send_it, inputs=[magic1, model_name1], outputs=[output1]) | |
run.click(send_it, inputs=[magic2, model_name1], outputs=[output2]) | |
see_prompts.click(text_it, inputs=[input_text], outputs=[magic1]) | |
see_prompts.click(text_it, inputs=[input_text], outputs=[magic2]) | |
model_name1.change(set_model, inputs=model_name1, outputs=[output1, output2,]) | |
#with gr.Tab("Flip Image"): | |
#Using Gradio Demos as API - This is Hot! | |
with gr.Tab("Diffuser"): | |
with gr.Row(): | |
text_input = gr.Textbox() ## Diffuser | |
image_output = gr.Image() | |
image_button = gr.Button("Flip") | |
# text_button.click(flip_text, inputs=text_input, outputs=text_output) | |
# image_button.click(flip_image, inputs=image_input, outputs=image_output) | |
pan.queue(concurrency_count=200) | |
pan.launch(inline=True, show_api=True, max_threads=400) | |