Menyu commited on
Commit
675f93f
·
verified ·
1 Parent(s): 94a832d

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +16 -18
app.py CHANGED
@@ -96,48 +96,48 @@ footer {
96
  }
97
  '''
98
  with gr.Blocks(css=css) as demo:
99
- gr.Markdown("""# SDXL Flash
100
- ### First Image processing takes time then images generate faster.""")
101
  with gr.Group():
102
  with gr.Row():
103
  prompt = gr.Text(
104
- label="Prompt",
105
  show_label=False,
106
  max_lines=1,
107
- placeholder="Enter your prompt",
108
  container=False,
109
  )
110
- run_button = gr.Button("Run", scale=0)
111
- result = gr.Gallery(label="Result", columns=1)
112
- with gr.Accordion("Advanced options", open=False):
113
  with gr.Row():
114
- use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=True)
115
  negative_prompt = gr.Text(
116
- label="Negative prompt",
117
  max_lines=5,
118
  lines=4,
119
- placeholder="Enter a negative prompt",
120
  value="lowres, {bad}, error, fewer, extra, missing, worst quality, jpeg artifacts, bad quality, watermark, unfinished, displeasing, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract]",
121
  visible=True,
122
  )
123
  seed = gr.Slider(
124
- label="Seed",
125
  minimum=0,
126
  maximum=MAX_SEED,
127
  step=1,
128
  value=0,
129
  )
130
- randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
131
  with gr.Row(visible=True):
132
  width = gr.Slider(
133
- label="Width",
134
  minimum=512,
135
  maximum=MAX_IMAGE_SIZE,
136
  step=64,
137
  value=1024,
138
  )
139
  height = gr.Slider(
140
- label="Height",
141
  minimum=512,
142
  maximum=MAX_IMAGE_SIZE,
143
  step=64,
@@ -152,7 +152,7 @@ with gr.Blocks(css=css) as demo:
152
  value=3.0,
153
  )
154
  num_inference_steps = gr.Slider(
155
- label="Number of inference steps",
156
  minimum=1,
157
  maximum=50,
158
  step=1,
@@ -171,7 +171,6 @@ with gr.Blocks(css=css) as demo:
171
  fn=lambda x: gr.update(visible=x),
172
  inputs=use_negative_prompt,
173
  outputs=negative_prompt,
174
- api_name=False,
175
  )
176
 
177
  gr.on(
@@ -193,8 +192,7 @@ with gr.Blocks(css=css) as demo:
193
  randomize_seed,
194
  ],
195
  outputs=[result, seed],
196
- api_name="run",
197
  )
198
 
199
  if __name__ == "__main__":
200
- demo.queue(max_size=30).launch()
 
96
  }
97
  '''
98
  with gr.Blocks(css=css) as demo:
99
+ gr.Markdown("""# 梦羽的模型生成器
100
+ ### 快速生成NoobXL的模型图片.""")
101
  with gr.Group():
102
  with gr.Row():
103
  prompt = gr.Text(
104
+ label="关键词",
105
  show_label=False,
106
  max_lines=1,
107
+ placeholder="输入你要的图片关键词",
108
  container=False,
109
  )
110
+ run_button = gr.Button("生成", scale=0)
111
+ result = gr.Gallery(label="返回", columns=1)
112
+ with gr.Accordion("高级选项", open=False):
113
  with gr.Row():
114
+ use_negative_prompt = gr.Checkbox(label="使用反向词条", value=True)
115
  negative_prompt = gr.Text(
116
+ label="反向词条",
117
  max_lines=5,
118
  lines=4,
119
+ placeholder="输入你要排除的图片关键词",
120
  value="lowres, {bad}, error, fewer, extra, missing, worst quality, jpeg artifacts, bad quality, watermark, unfinished, displeasing, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract]",
121
  visible=True,
122
  )
123
  seed = gr.Slider(
124
+ label="种子",
125
  minimum=0,
126
  maximum=MAX_SEED,
127
  step=1,
128
  value=0,
129
  )
130
+ randomize_seed = gr.Checkbox(label="随机种子", value=True)
131
  with gr.Row(visible=True):
132
  width = gr.Slider(
133
+ label="宽度",
134
  minimum=512,
135
  maximum=MAX_IMAGE_SIZE,
136
  step=64,
137
  value=1024,
138
  )
139
  height = gr.Slider(
140
+ label="高度",
141
  minimum=512,
142
  maximum=MAX_IMAGE_SIZE,
143
  step=64,
 
152
  value=3.0,
153
  )
154
  num_inference_steps = gr.Slider(
155
+ label="生成步数",
156
  minimum=1,
157
  maximum=50,
158
  step=1,
 
171
  fn=lambda x: gr.update(visible=x),
172
  inputs=use_negative_prompt,
173
  outputs=negative_prompt,
 
174
  )
175
 
176
  gr.on(
 
192
  randomize_seed,
193
  ],
194
  outputs=[result, seed],
 
195
  )
196
 
197
  if __name__ == "__main__":
198
+ demo.queue(max_size=20).launch()