Update app.py
Browse files
app.py
CHANGED
@@ -1,10 +1,17 @@
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import gradio as gr
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import time
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models =
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"pimpilikipilapi1/NSFW_master",
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"DiegoJR1973/NSFW-TrioHMH-Flux",
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"prashanth970/flux-lora-uncensored",
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]
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model_functions = {}
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@@ -16,7 +23,7 @@ for model_path in models:
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def the_fn(txt):
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return None
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model_functions[model_idx] = gr.Interface(fn=the_fn, inputs=["text"], outputs=["image"])
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model_idx
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def send_it_idx(idx):
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@@ -42,12 +49,14 @@ def all_task_end(cnt,t_stamp):
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if et > to and t_stamp != 0:
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d = gr.update(value=0)
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tog = gr.update(value=1)
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else:
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if cnt != 0:
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d = gr.update(value=et)
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else:
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d = gr.update(value=0)
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tog = gr.update(value=0)
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pass
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return d, tog
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@@ -62,36 +71,44 @@ def clear_fn():
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nn = len(models)
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return tuple([None, *[None for _ in range(nn)]])
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with gr.Blocks(title="SD Models") as my_interface:
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with gr.Column():
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with gr.Row():
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with gr.
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primary_prompt
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with gr.Row():
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run
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clear_btn
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with gr.Row():
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sd_outputs = {}
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model_idx = 1
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for model_path in models:
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with gr.Column(scale=3, min_width=200):
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with gr.
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sd_outputs[model_idx] = gr.Image(label=model_path)
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pass
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model_idx += 1
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pass
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with gr.Row(visible=False):
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start_box
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end_box
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tog_box
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start_box.change(
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all_task_end,
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[start_box, end_box],
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[start_box, tog_box],
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-
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primary_prompt.submit(all_task_start, None, [start_box, end_box, tog_box])
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run.click(all_task_start, None, [start_box, end_box, tog_box])
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@@ -100,7 +117,14 @@ with gr.Blocks(title="SD Models") as my_interface:
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for model_path in models:
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runs_dict[model_idx] = run.click(model_functions[model_idx], inputs=[primary_prompt], outputs=[sd_outputs[model_idx]])
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model_idx += 1
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clear_btn.click(
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clear_fn,
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None,
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@@ -112,4 +136,5 @@ with gr.Blocks(title="SD Models") as my_interface:
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tog_box,
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cancels=[*list(runs_dict.values())])
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my_interface.
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import gradio as gr
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# import os
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# import sys
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# from pathlib import Path
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import time
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models =[
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"enhanceaiteam/Flux-uncensored",
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"CultriX/flux-nsfw-highress",
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"pimpilikipilapi1/NSFW_master",
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"DiegoJR1973/NSFW-TrioHMH-Flux",
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"lustlyai/Flux_Lustly.ai_Uncensored_nsfw_v1",
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"prashanth970/flux-lora-uncensored",
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"black-forest-labs/FLUX.1-dev",
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]
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model_functions = {}
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def the_fn(txt):
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return None
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model_functions[model_idx] = gr.Interface(fn=the_fn, inputs=["text"], outputs=["image"])
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model_idx+=1
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def send_it_idx(idx):
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if et > to and t_stamp != 0:
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d = gr.update(value=0)
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tog = gr.update(value=1)
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#print(f'to: {to} et: {et}')
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else:
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if cnt != 0:
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d = gr.update(value=et)
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else:
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d = gr.update(value=0)
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tog = gr.update(value=0)
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#print (f'passing: to: {to} et: {et}')
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pass
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return d, tog
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nn = len(models)
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return tuple([None, *[None for _ in range(nn)]])
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with gr.Blocks(title="SD Models") as my_interface:
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with gr.Column(scale=12):
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# with gr.Row():
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# 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""")
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with gr.Row():
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with gr.Row(scale=6):
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primary_prompt=gr.Textbox(label="Prompt", value="")
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# real_prompt=gr.Textbox(label="Real prompt")
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with gr.Row(scale=6):
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# improve_prompts_btn=gr.Button("Improve")
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with gr.Row():
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run=gr.Button("Run",variant="primary")
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clear_btn=gr.Button("Clear")
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with gr.Row():
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sd_outputs = {}
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model_idx = 1
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for model_path in models:
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with gr.Column(scale=3, min_width=200):
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with gr.Box():
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sd_outputs[model_idx] = gr.Image(label=model_path)
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pass
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model_idx += 1
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pass
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pass
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with gr.Row(visible=False):
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start_box=gr.Number(interactive=False)
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end_box=gr.Number(interactive=False)
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tog_box=gr.Textbox(value=0,interactive=False)
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start_box.change(
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all_task_end,
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[start_box, end_box],
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[start_box, tog_box],
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every=1,
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show_progress=True)
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primary_prompt.submit(all_task_start, None, [start_box, end_box, tog_box])
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run.click(all_task_start, None, [start_box, end_box, tog_box])
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for model_path in models:
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runs_dict[model_idx] = run.click(model_functions[model_idx], inputs=[primary_prompt], outputs=[sd_outputs[model_idx]])
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model_idx += 1
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pass
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pass
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# improve_prompts_btn_clicked=improve_prompts_btn.click(
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# get_prompts,
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# inputs=[primary_prompt],
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# outputs=[primary_prompt],
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# cancels=list(runs_dict.values()))
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clear_btn.click(
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clear_fn,
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None,
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tog_box,
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cancels=[*list(runs_dict.values())])
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my_interface.queue(concurrency_count=100, status_update_rate=1)
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my_interface.launch(inline=True, show_api=False)
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