Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -1,10 +1,14 @@
|
|
1 |
import gradio as gr
|
2 |
-
import
|
|
|
|
|
3 |
import time
|
4 |
|
5 |
-
models =
|
6 |
"John6666/ultimate-realistic-mix-v2-sdxl",
|
|
|
7 |
]
|
|
|
8 |
|
9 |
model_functions = {}
|
10 |
model_idx = 1
|
@@ -13,9 +17,12 @@ for model_path in models:
|
|
13 |
model_functions[model_idx] = gr.Interface.load(f"models/{model_path}", live=False, preprocess=True, postprocess=False)
|
14 |
except Exception as error:
|
15 |
def the_fn(txt):
|
|
|
16 |
return None
|
17 |
model_functions[model_idx] = gr.Interface(fn=the_fn, inputs=["text"], outputs=["image"])
|
18 |
-
|
|
|
|
|
19 |
|
20 |
def send_it_idx(idx):
|
21 |
def send_it_fn(prompt):
|
@@ -24,6 +31,7 @@ def send_it_idx(idx):
|
|
24 |
return send_it_fn
|
25 |
|
26 |
def get_prompts(prompt_text):
|
|
|
27 |
return prompt_text
|
28 |
|
29 |
def clear_it(val):
|
@@ -31,45 +39,51 @@ def clear_it(val):
|
|
31 |
val = 0
|
32 |
else:
|
33 |
val = 0
|
|
|
34 |
return val
|
35 |
|
36 |
-
def all_task_end(cnt,
|
37 |
to = t_stamp + 360
|
38 |
et = time.time()
|
39 |
if et > to and t_stamp != 0:
|
40 |
d = gr.update(value=0)
|
41 |
tog = gr.update(value=1)
|
|
|
42 |
else:
|
43 |
if cnt != 0:
|
44 |
d = gr.update(value=et)
|
45 |
else:
|
46 |
d = gr.update(value=0)
|
47 |
tog = gr.update(value=0)
|
|
|
|
|
48 |
return d, tog
|
49 |
|
50 |
def all_task_start():
|
|
|
51 |
t = time.gmtime()
|
52 |
t_stamp = time.time()
|
|
|
53 |
return gr.update(value=t_stamp), gr.update(value=t_stamp), gr.update(value=0)
|
54 |
|
55 |
def clear_fn():
|
56 |
nn = len(models)
|
57 |
return tuple([None, *[None for _ in range(nn)]])
|
58 |
|
59 |
-
def generate_random_images():
|
60 |
-
prompt = "Random seed image"
|
61 |
-
outputs = []
|
62 |
-
for _ in range(3):
|
63 |
-
output = model_functions[1](prompt)
|
64 |
-
outputs.append(output)
|
65 |
-
return outputs
|
66 |
|
67 |
with gr.Blocks(title="SD Models") as my_interface:
|
68 |
with gr.Column(scale=12):
|
|
|
|
|
69 |
with gr.Row():
|
70 |
-
|
71 |
-
|
72 |
-
|
|
|
|
|
|
|
|
|
|
|
73 |
with gr.Row():
|
74 |
sd_outputs = {}
|
75 |
model_idx = 1
|
@@ -77,46 +91,49 @@ with gr.Blocks(title="SD Models") as my_interface:
|
|
77 |
with gr.Column(scale=3, min_width=320):
|
78 |
with gr.Box():
|
79 |
sd_outputs[model_idx] = gr.Image(label=model_path)
|
|
|
80 |
model_idx += 1
|
|
|
|
|
81 |
|
82 |
with gr.Row(visible=False):
|
83 |
-
start_box
|
84 |
-
end_box
|
85 |
-
tog_box
|
86 |
|
87 |
start_box.change(
|
88 |
all_task_end,
|
89 |
[start_box, end_box],
|
90 |
[start_box, tog_box],
|
91 |
every=1,
|
92 |
-
show_progress=True
|
93 |
-
)
|
94 |
|
95 |
primary_prompt.submit(all_task_start, None, [start_box, end_box, tog_box])
|
96 |
run.click(all_task_start, None, [start_box, end_box, tog_box])
|
97 |
-
|
98 |
runs_dict = {}
|
99 |
model_idx = 1
|
100 |
for model_path in models:
|
101 |
runs_dict[model_idx] = run.click(model_functions[model_idx], inputs=[primary_prompt], outputs=[sd_outputs[model_idx]])
|
102 |
model_idx += 1
|
103 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
104 |
clear_btn.click(
|
105 |
clear_fn,
|
106 |
None,
|
107 |
[primary_prompt, *list(sd_outputs.values())],
|
108 |
-
cancels=[*list(runs_dict.values())]
|
109 |
-
)
|
110 |
tog_box.change(
|
111 |
clear_it,
|
112 |
tog_box,
|
113 |
tog_box,
|
114 |
-
cancels=[*list(runs_dict.values())]
|
115 |
-
|
116 |
-
|
117 |
-
random_images = generate_random_images()
|
118 |
-
for i, img in enumerate(random_images):
|
119 |
-
sd_outputs[i+1].value = img
|
120 |
|
121 |
my_interface.queue(concurrency_count=600, status_update_rate=1)
|
122 |
-
my_interface.launch(inline=True, show_api=True)
|
|
|
1 |
import gradio as gr
|
2 |
+
# import os
|
3 |
+
# import sys
|
4 |
+
# from pathlib import Path
|
5 |
import time
|
6 |
|
7 |
+
models =[
|
8 |
"John6666/ultimate-realistic-mix-v2-sdxl",
|
9 |
+
|
10 |
]
|
11 |
+
|
12 |
|
13 |
model_functions = {}
|
14 |
model_idx = 1
|
|
|
17 |
model_functions[model_idx] = gr.Interface.load(f"models/{model_path}", live=False, preprocess=True, postprocess=False)
|
18 |
except Exception as error:
|
19 |
def the_fn(txt):
|
20 |
+
|
21 |
return None
|
22 |
model_functions[model_idx] = gr.Interface(fn=the_fn, inputs=["text"], outputs=["image"])
|
23 |
+
|
24 |
+
model_idx+=1
|
25 |
+
|
26 |
|
27 |
def send_it_idx(idx):
|
28 |
def send_it_fn(prompt):
|
|
|
31 |
return send_it_fn
|
32 |
|
33 |
def get_prompts(prompt_text):
|
34 |
+
|
35 |
return prompt_text
|
36 |
|
37 |
def clear_it(val):
|
|
|
39 |
val = 0
|
40 |
else:
|
41 |
val = 0
|
42 |
+
pass
|
43 |
return val
|
44 |
|
45 |
+
def all_task_end(cnt,t_stamp):
|
46 |
to = t_stamp + 360
|
47 |
et = time.time()
|
48 |
if et > to and t_stamp != 0:
|
49 |
d = gr.update(value=0)
|
50 |
tog = gr.update(value=1)
|
51 |
+
#print(f'to: {to} et: {et}')
|
52 |
else:
|
53 |
if cnt != 0:
|
54 |
d = gr.update(value=et)
|
55 |
else:
|
56 |
d = gr.update(value=0)
|
57 |
tog = gr.update(value=0)
|
58 |
+
#print (f'passing: to: {to} et: {et}')
|
59 |
+
pass
|
60 |
return d, tog
|
61 |
|
62 |
def all_task_start():
|
63 |
+
print("\n\n\n\n\n\n\n")
|
64 |
t = time.gmtime()
|
65 |
t_stamp = time.time()
|
66 |
+
current_time = time.strftime("%H:%M:%S", t)
|
67 |
return gr.update(value=t_stamp), gr.update(value=t_stamp), gr.update(value=0)
|
68 |
|
69 |
def clear_fn():
|
70 |
nn = len(models)
|
71 |
return tuple([None, *[None for _ in range(nn)]])
|
72 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
73 |
|
74 |
with gr.Blocks(title="SD Models") as my_interface:
|
75 |
with gr.Column(scale=12):
|
76 |
+
# with gr.Row():
|
77 |
+
# 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""")
|
78 |
with gr.Row():
|
79 |
+
with gr.Row(scale=6):
|
80 |
+
primary_prompt=gr.Textbox(label="Prompt", value="")
|
81 |
+
# real_prompt=gr.Textbox(label="Real prompt")
|
82 |
+
with gr.Row(scale=6):
|
83 |
+
# improve_prompts_btn=gr.Button("Improve")
|
84 |
+
with gr.Row():
|
85 |
+
run=gr.Button("Run",variant="primary")
|
86 |
+
clear_btn=gr.Button("Clear")
|
87 |
with gr.Row():
|
88 |
sd_outputs = {}
|
89 |
model_idx = 1
|
|
|
91 |
with gr.Column(scale=3, min_width=320):
|
92 |
with gr.Box():
|
93 |
sd_outputs[model_idx] = gr.Image(label=model_path)
|
94 |
+
pass
|
95 |
model_idx += 1
|
96 |
+
pass
|
97 |
+
pass
|
98 |
|
99 |
with gr.Row(visible=False):
|
100 |
+
start_box=gr.Number(interactive=False)
|
101 |
+
end_box=gr.Number(interactive=False)
|
102 |
+
tog_box=gr.Textbox(value=0,interactive=False)
|
103 |
|
104 |
start_box.change(
|
105 |
all_task_end,
|
106 |
[start_box, end_box],
|
107 |
[start_box, tog_box],
|
108 |
every=1,
|
109 |
+
show_progress=True)
|
|
|
110 |
|
111 |
primary_prompt.submit(all_task_start, None, [start_box, end_box, tog_box])
|
112 |
run.click(all_task_start, None, [start_box, end_box, tog_box])
|
|
|
113 |
runs_dict = {}
|
114 |
model_idx = 1
|
115 |
for model_path in models:
|
116 |
runs_dict[model_idx] = run.click(model_functions[model_idx], inputs=[primary_prompt], outputs=[sd_outputs[model_idx]])
|
117 |
model_idx += 1
|
118 |
+
pass
|
119 |
+
pass
|
120 |
+
|
121 |
+
# improve_prompts_btn_clicked=improve_prompts_btn.click(
|
122 |
+
# get_prompts,
|
123 |
+
# inputs=[primary_prompt],
|
124 |
+
# outputs=[primary_prompt],
|
125 |
+
# cancels=list(runs_dict.values()))
|
126 |
clear_btn.click(
|
127 |
clear_fn,
|
128 |
None,
|
129 |
[primary_prompt, *list(sd_outputs.values())],
|
130 |
+
cancels=[*list(runs_dict.values())])
|
|
|
131 |
tog_box.change(
|
132 |
clear_it,
|
133 |
tog_box,
|
134 |
tog_box,
|
135 |
+
cancels=[*list(runs_dict.values())])
|
136 |
+
text_gen1=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")
|
|
|
|
|
|
|
|
|
137 |
|
138 |
my_interface.queue(concurrency_count=600, status_update_rate=1)
|
139 |
+
my_interface.launch(inline=True, show_api=True) I want three random seed images load with "John6666/ultimate-realistic-mix-v2-sdxl", this model
|