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import gradio as gr
import requests
import json
url = "https://api.prodia.com/v1/job"
headers = {
"accept": "application/json",
"content-type": "application/json",
"X-Prodia-Key": "69e66898-010d-4cd1-9e22-090f73ad007b"
}
models = [
{"name": "Timeless", "url": "timeless-1.0.ckpt 1.0.ckpt [7c4971d4]"},
{"name": "Dreamlike-diffusion-2.0.", "url": "dreamlike-diffusion-2.0.safetensors [fdcf65e7]"},
{"name": "Deliberate_v2", "url": "deliberate_v2.safetensors [10ec4b29]"},
{"name": "Anything-v4.5-pruned", "url": "anything-v4.5-pruned.ckpt [65745d25]"},
]
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 set_model(current_model_index):
global current_model
current_model = models[current_model_index]
return gr.update(value=f"{current_model['name']}")
def send_it(inputs, model_choice):
proc = models2[model_choice]
return proc(inputs)
with gr.Blocks() as myface:
gr.HTML(
)
with gr.Row():
with gr.Row():
input_text = gr.Textbox(label="Iput Prompt", placeholder="", lines=1)
# Model selection dropdown
model_name1 = gr.Dropdown(
label="Choose Model",
choices=[m["name"] for m in models],
type="index",
value=current_model["name"],
interactive=True,
)
with gr.Row():
see_prompts = gr.Button("Generate Prompts")
run = gr.Button("Generate Images", variant="primary")
if __name__ == "__main__":
demo.launch()
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