lixiang46 commited on
Commit
9de30d4
1 Parent(s): 6155537

change seed

Browse files
Files changed (1) hide show
  1. app.py +7 -6
app.py CHANGED
@@ -77,7 +77,7 @@ MAX_IMAGE_SIZE = 1024
77
  @spaces.GPU
78
  def infer_depth(prompt,
79
  image = None,
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- negative_prompt = "",
81
  seed = 397886929,
82
  randomize_seed = False,
83
  guidance_scale = 6.0,
@@ -105,12 +105,12 @@ def infer_depth(prompt,
105
  num_images_per_prompt=1,
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  generator=generator,
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  ).images[0]
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- return [condi_img, image]
109
 
110
  @spaces.GPU
111
  def infer_canny(prompt,
112
  image = None,
113
- negative_prompt = "",
114
  seed = 397886929,
115
  randomize_seed = False,
116
  guidance_scale = 6.0,
@@ -138,7 +138,7 @@ def infer_canny(prompt,
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  num_images_per_prompt=1,
139
  generator=generator,
140
  ).images[0]
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- return [condi_img, image]
142
 
143
  canny_examples = [
144
  ["一个漂亮的女孩,高品质,超清晰,色彩鲜艳,超高分辨率,最佳品质,8k,高清,4K",
@@ -244,6 +244,7 @@ with gr.Blocks(css=css) as Kolors:
244
 
245
  with gr.Column(elem_id="col-right"):
246
  result = gr.Gallery(label="Result", show_label=False, columns=2)
 
247
 
248
  with gr.Row():
249
  gr.Examples(
@@ -265,13 +266,13 @@ with gr.Blocks(css=css) as Kolors:
265
  canny_button.click(
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  fn = infer_canny,
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  inputs = [prompt, image, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, controlnet_conditioning_scale, control_guidance_end, strength],
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- outputs = [result]
269
  )
270
 
271
  depth_button.click(
272
  fn = infer_depth,
273
  inputs = [prompt, image, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, controlnet_conditioning_scale, control_guidance_end, strength],
274
- outputs = [result]
275
  )
276
 
277
  Kolors.queue().launch(debug=True)
 
77
  @spaces.GPU
78
  def infer_depth(prompt,
79
  image = None,
80
+ negative_prompt = "nsfw,脸部阴影,低分辨率,jpeg伪影、模糊、糟糕,黑脸,霓虹灯",
81
  seed = 397886929,
82
  randomize_seed = False,
83
  guidance_scale = 6.0,
 
105
  num_images_per_prompt=1,
106
  generator=generator,
107
  ).images[0]
108
+ return [condi_img, image], seed
109
 
110
  @spaces.GPU
111
  def infer_canny(prompt,
112
  image = None,
113
+ negative_prompt = "nsfw,脸部阴影,低分辨率,jpeg伪影、模糊、糟糕,黑脸,霓虹灯",
114
  seed = 397886929,
115
  randomize_seed = False,
116
  guidance_scale = 6.0,
 
138
  num_images_per_prompt=1,
139
  generator=generator,
140
  ).images[0]
141
+ return [condi_img, image], seed
142
 
143
  canny_examples = [
144
  ["一个漂亮的女孩,高品质,超清晰,色彩鲜艳,超高分辨率,最佳品质,8k,高清,4K",
 
244
 
245
  with gr.Column(elem_id="col-right"):
246
  result = gr.Gallery(label="Result", show_label=False, columns=2)
247
+ seed_used = gr.Number(label="Seed Used")
248
 
249
  with gr.Row():
250
  gr.Examples(
 
266
  canny_button.click(
267
  fn = infer_canny,
268
  inputs = [prompt, image, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, controlnet_conditioning_scale, control_guidance_end, strength],
269
+ outputs = [result, seed_used]
270
  )
271
 
272
  depth_button.click(
273
  fn = infer_depth,
274
  inputs = [prompt, image, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, controlnet_conditioning_scale, control_guidance_end, strength],
275
+ outputs = [result, seed_used]
276
  )
277
 
278
  Kolors.queue().launch(debug=True)