|
import gradio as gr |
|
|
|
|
|
|
|
import time |
|
|
|
models =[ |
|
"upro/openjourney", |
|
"miittnnss/cutiee2", |
|
"Norod78/sxl-laisha-magazine-cover-lora", |
|
"holtschn/heman-toy-lora-trained-sdxl", |
|
"midmix/lora-trained-xl", |
|
"Yntec/HassanBlend12", |
|
"Adi149/SDXL-Dreambooth", |
|
"sy-zhang/lora-trained-xl-colab", |
|
"kear24100712/katherinia123", |
|
] |
|
|
|
|
|
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) |
|
|
|
else: |
|
if cnt != 0: |
|
d = gr.update(value=et) |
|
else: |
|
d = gr.update(value=0) |
|
tog = gr.update(value=0) |
|
|
|
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(): |
|
with gr.Row(scale=6): |
|
primary_prompt=gr.Textbox(label="Prompt", value="") |
|
|
|
with gr.Row(scale=6): |
|
|
|
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 |
|
|
|
|
|
|
|
|
|
|
|
|
|
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) |
|
|