apolinario commited on
Commit
34f173c
1 Parent(s): 3f7ab74

revert back to 2.9.4

Browse files
Files changed (2) hide show
  1. README.md +1 -1
  2. app.py +14 -14
README.md CHANGED
@@ -4,7 +4,7 @@ emoji: 👁
4
  colorFrom: red
5
  colorTo: blue
6
  sdk: gradio
7
- sdk_version: 2.9b40
8
  app_file: app.py
9
  pinned: false
10
  license: mit
 
4
  colorFrom: red
5
  colorTo: blue
6
  sdk: gradio
7
+ sdk_version: 2.9.4
8
  app_file: app.py
9
  pinned: false
10
  license: mit
app.py CHANGED
@@ -76,7 +76,7 @@ perceptor = (
76
  .requires_grad_(False)
77
  .to(device)
78
  )
79
- def run_all(user_input, width, height, template, num_steps, flavor, markdown):
80
  import random
81
  #if uploaded_file is not None:
82
  #uploaded_folder = f"{DefaultPaths.root_path}/uploaded"
@@ -2326,17 +2326,17 @@ def run_all(user_input, width, height, template, num_steps, flavor, markdown):
2326
 
2327
  ##################### START GRADIO HERE ############################
2328
  image = gr.outputs.Image(type="pil", label="Your result")
2329
- def cvt_2_base64(file_name):
2330
- with open(file_name , "rb") as image_file :
2331
- data = base64.b64encode(image_file.read())
2332
- return data.decode('utf-8')
2333
- base64image = "data:image/jpg;base64,"+cvt_2_base64('flavors.jpg')
2334
- markdown = gr.Markdown("<img src='"+base64image+"' />")
2335
- def test(raw_input):
2336
- pass
2337
- setattr(markdown, "requires_permissions", False)
2338
- setattr(markdown, "label", "Flavors")
2339
- setattr(markdown, "preprocess", test)
2340
  iface = gr.Interface(
2341
  fn=run_all,
2342
  inputs=[
@@ -2345,8 +2345,8 @@ iface = gr.Interface(
2345
  gr.inputs.Slider(label="Height", default=256, minimum=32, step=32, maximum=512),
2346
  gr.inputs.Dropdown(label="Style - Hyper Fast Results is fast but compromises a bit of the quality",choices=["Default","Balanced","Detailed","Consistent Creativity","Realistic","Smooth","Subtle MSE","Hyper Fast Results"],default="Hyper Fast Results"),
2347
  gr.inputs.Slider(label="Steps - more steps can increase quality but will take longer to generate. All styles that are not Hyper Fast need at least 200 steps",default=50,maximum=300,minimum=1,step=1),
2348
- gr.inputs.Dropdown(label="Flavor - pick a flavor for the style of the images, based on the images below",choices=["ginger", "cumin", "holywater", "zynth", "wyvern", "aaron", "moth", "juu"]),
2349
- markdown
2350
  ],
2351
  outputs=image,
2352
  title="Generate images from text with VQGAN+CLIP (Hypertron v2)",
 
76
  .requires_grad_(False)
77
  .to(device)
78
  )
79
+ def run_all(user_input, width, height, template, num_steps, flavor):
80
  import random
81
  #if uploaded_file is not None:
82
  #uploaded_folder = f"{DefaultPaths.root_path}/uploaded"
 
2326
 
2327
  ##################### START GRADIO HERE ############################
2328
  image = gr.outputs.Image(type="pil", label="Your result")
2329
+ #def cvt_2_base64(file_name):
2330
+ # with open(file_name , "rb") as image_file :
2331
+ # data = base64.b64encode(image_file.read())
2332
+ # return data.decode('utf-8')
2333
+ #base64image = "data:image/jpg;base64,"+cvt_2_base64('flavors.jpg')
2334
+ #markdown = gr.Markdown("<img src='"+base64image+"' />")
2335
+ #def test(raw_input):
2336
+ # pass
2337
+ #setattr(markdown, "requires_permissions", False)
2338
+ #setattr(markdown, "label", "Flavors")
2339
+ #setattr(markdown, "preprocess", test)
2340
  iface = gr.Interface(
2341
  fn=run_all,
2342
  inputs=[
 
2345
  gr.inputs.Slider(label="Height", default=256, minimum=32, step=32, maximum=512),
2346
  gr.inputs.Dropdown(label="Style - Hyper Fast Results is fast but compromises a bit of the quality",choices=["Default","Balanced","Detailed","Consistent Creativity","Realistic","Smooth","Subtle MSE","Hyper Fast Results"],default="Hyper Fast Results"),
2347
  gr.inputs.Slider(label="Steps - more steps can increase quality but will take longer to generate. All styles that are not Hyper Fast need at least 200 steps",default=50,maximum=300,minimum=1,step=1),
2348
+ gr.inputs.Dropdown(label="Flavor - pick a flavor for the style of the images",choices=["ginger", "cumin", "holywater", "zynth", "wyvern", "aaron", "moth", "juu"]),
2349
+ #markdown
2350
  ],
2351
  outputs=image,
2352
  title="Generate images from text with VQGAN+CLIP (Hypertron v2)",