import gradio as gr # import os # import sys # from pathlib import Path import time models =[ "aghanim1/arttherapy", "aghanim1/sadu", "Sarah-The-Comet/Maryam-Mirzakhani-LoRA", "AmilaUvaz/autotrain-3dfyt-882ss", "madmarc/autotrain-aavjn-jvsze", "madmarc/autotrain-4vgu7-qftz7", "KappaNeuro/worthington-whittredge-style", "KappaNeuro/yaacov-agam-style", "KappaNeuro/kate-greenaway-style", ] model_functions = {} model_idx = 1 for model_path in models: try: model_functions[model_idx] = gr.Interface.load(f"models/{model_path}", live=False, preprocess=True, postprocess=False) except Exception as error: def the_fn(txt): return None model_functions[model_idx] = gr.Interface(fn=the_fn, inputs=["text"], outputs=["image"]) model_idx+=1 def send_it_idx(idx): def send_it_fn(prompt): output = (model_functions.get(str(idx)) or model_functions.get(str(1)))(prompt) return output return send_it_fn def get_prompts(prompt_text): return prompt_text def clear_it(val): if int(val) != 0: val = 0 else: val = 0 pass return val def all_task_end(cnt,t_stamp): to = t_stamp + 60 et = time.time() if et > to and t_stamp != 0: d = gr.update(value=0) tog = gr.update(value=1) #print(f'to: {to} et: {et}') else: if cnt != 0: d = gr.update(value=et) else: d = gr.update(value=0) tog = gr.update(value=0) #print (f'passing: to: {to} et: {et}') pass return d, tog def all_task_start(): print("\n\n\n\n\n\n\n") t = time.gmtime() t_stamp = time.time() current_time = time.strftime("%H:%M:%S", t) return gr.update(value=t_stamp), gr.update(value=t_stamp), gr.update(value=0) def clear_fn(): nn = len(models) return tuple([None, *[None for _ in range(nn)]]) with gr.Blocks(title="SD Models") as my_interface: with gr.Column(scale=12): # with gr.Row(): # gr.Markdown("""- Primary prompt: 你想画的内容(英文单词,如 a cat, 加英文逗号效果更好;点 Improve 按钮进行完善)\n- Real prompt: 完善后的提示词,出现后再点右边的 Run 按钮开始运行""") with gr.Row(): with gr.Row(scale=6): primary_prompt=gr.Textbox(label="Prompt", value="") # real_prompt=gr.Textbox(label="Real prompt") with gr.Row(scale=6): # improve_prompts_btn=gr.Button("Improve") with gr.Row(): run=gr.Button("Run",variant="primary") clear_btn=gr.Button("Clear") with gr.Row(): sd_outputs = {} model_idx = 1 for model_path in models: with gr.Column(scale=3, min_width=320): with gr.Box(): sd_outputs[model_idx] = gr.Image(label=model_path) pass model_idx += 1 pass pass with gr.Row(visible=False): start_box=gr.Number(interactive=False) end_box=gr.Number(interactive=False) tog_box=gr.Textbox(value=0,interactive=False) start_box.change( all_task_end, [start_box, end_box], [start_box, tog_box], every=1, show_progress=False) primary_prompt.submit(all_task_start, None, [start_box, end_box, tog_box]) run.click(all_task_start, None, [start_box, end_box, tog_box]) runs_dict = {} model_idx = 1 for model_path in models: runs_dict[model_idx] = run.click(model_functions[model_idx], inputs=[primary_prompt], outputs=[sd_outputs[model_idx]]) model_idx += 1 pass pass # improve_prompts_btn_clicked=improve_prompts_btn.click( # get_prompts, # inputs=[primary_prompt], # outputs=[primary_prompt], # cancels=list(runs_dict.values())) clear_btn.click( clear_fn, None, [primary_prompt, *list(sd_outputs.values())], cancels=[*list(runs_dict.values())]) tog_box.change( clear_it, tog_box, tog_box, cancels=[*list(runs_dict.values())]) my_interface.queue(concurrency_count=600, status_update_rate=1) my_interface.launch(inline=True, show_api=False)