File size: 4,634 Bytes
063b292
 
 
 
 
 
 
30cee80
f5e64be
 
932a21a
063b292
f5e64be
db32d1d
30cee80
e90a37e
93d4618
0bb5a0b
 
 
063b292
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
93d4618
063b292
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a0910e9
063b292
ea112e8
a0910e9
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
import gradio as gr
# import os
# import sys
# from pathlib import Path
import time

models =[
    "mann-e/Mann-E_Dreams",
    "Yntec/ChickFlick",
    "John6666/ultimate-realistic-mix-v2-sdxl",
    "Yntec/CrystalReality",
    "John6666/9527-detail-realistic-xl-v55mix-sdxl",
    "John6666/epicrealism-xl-v8kiss-sdxl",
    "John6666/firexxx-realistic-nsfw-v1-sdxl",
    "John6666/real-vis-xl-v40-sdxl",
    "Yntec/DegreesOfFreedom",

]
    

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 + 360
    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=True)

        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())])
text_gen1=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")

my_interface.queue(concurrency_count=600) # , status_update_rate=1
my_interface.launch(inline=True, show_api=True)