anzorq commited on
Commit
e4f8e49
1 Parent(s): 3137b9d

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +12 -3
app.py CHANGED
@@ -40,8 +40,11 @@ def get_ckpt_names(token, radio_model_names, input_model):
40
  except Exception as e:
41
  return error_str(e), gr.update(choices=[]), None
42
 
43
- def convert_and_push(radio_model_names, input_model, ckpt_name, token, path_in_repo):
44
 
 
 
 
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  model_id = url_to_model_id(input_model) if radio_model_names == "Other" else radio_model_names
46
 
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  try:
@@ -60,6 +63,8 @@ def convert_and_push(radio_model_names, input_model, ckpt_name, token, path_in_r
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  ckpt_path,
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  "--dump_path" ,
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  model_id,
 
 
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  ]
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  )
65
 
@@ -84,6 +89,8 @@ def convert_and_push(radio_model_names, input_model, ckpt_name, token, path_in_r
84
 
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  return f"""Successfully converted the checkpoint and opened a PR to add the weights to the model repo.
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  You can view and merge the PR [here]({hf_utils.get_pr_url(HfApi(token=token), model_id, commit_message)})."""
 
 
87
 
88
  except Exception as e:
89
  return error_str(e)
@@ -106,6 +113,7 @@ with gr.Blocks() as demo:
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  max_lines=1,
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  label="Enter your Hugging Face token",
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  placeholder="READ permission is enough",
 
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  )
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  gr.Markdown("You can get a token [here](https://huggingface.co/settings/tokens)")
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  with gr.Group(visible=False) as group_model:
@@ -124,6 +132,7 @@ with gr.Blocks() as demo:
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  gr.Markdown("## 2. Convert to Diffusers🧨")
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  radio_ckpts = gr.Radio(label="Choose the checkpoint to convert", visible=False)
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  path_in_repo = gr.Textbox(label="Path where the weights will be saved", placeholder="Leave empty for root folder")
 
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  gr.Markdown("Conversion may take a few minutes.")
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  btn_convert = gr.Button("Convert & Push")
129
 
@@ -153,7 +162,7 @@ with gr.Blocks() as demo:
153
 
154
  btn_convert.click(
155
  fn=convert_and_push,
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- inputs=[radio_model_names, input_model, radio_ckpts, input_token, path_in_repo],
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  outputs=error_output,
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  scroll_to_output=True
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  )
@@ -169,4 +178,4 @@ with gr.Blocks() as demo:
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  """)
170
 
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  demo.queue()
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- demo.launch(share=utils.is_google_colab())
 
40
  except Exception as e:
41
  return error_str(e), gr.update(choices=[]), None
42
 
43
+ def convert_and_push(radio_model_names, input_model, ckpt_name, sd_version, token, path_in_repo):
44
 
45
+ if sd_version == None:
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+ return error_str("You must select a stable diffusion version.", title="Invalid input")
47
+
48
  model_id = url_to_model_id(input_model) if radio_model_names == "Other" else radio_model_names
49
 
50
  try:
 
63
  ckpt_path,
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  "--dump_path" ,
65
  model_id,
66
+ "--sd_version",
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+ sd_version
68
  ]
69
  )
70
 
 
89
 
90
  return f"""Successfully converted the checkpoint and opened a PR to add the weights to the model repo.
91
  You can view and merge the PR [here]({hf_utils.get_pr_url(HfApi(token=token), model_id, commit_message)})."""
92
+
93
+ return "Done"
94
 
95
  except Exception as e:
96
  return error_str(e)
 
113
  max_lines=1,
114
  label="Enter your Hugging Face token",
115
  placeholder="READ permission is enough",
116
+ type='password'
117
  )
118
  gr.Markdown("You can get a token [here](https://huggingface.co/settings/tokens)")
119
  with gr.Group(visible=False) as group_model:
 
132
  gr.Markdown("## 2. Convert to Diffusers🧨")
133
  radio_ckpts = gr.Radio(label="Choose the checkpoint to convert", visible=False)
134
  path_in_repo = gr.Textbox(label="Path where the weights will be saved", placeholder="Leave empty for root folder")
135
+ radio_sd_version = gr.Radio(label="Choose the model version", choices=["v1", "v2", "v2.1"])
136
  gr.Markdown("Conversion may take a few minutes.")
137
  btn_convert = gr.Button("Convert & Push")
138
 
 
162
 
163
  btn_convert.click(
164
  fn=convert_and_push,
165
+ inputs=[radio_model_names, input_model, radio_ckpts, radio_sd_version, input_token, path_in_repo],
166
  outputs=error_output,
167
  scroll_to_output=True
168
  )
 
178
  """)
179
 
180
  demo.queue()
181
+ demo.launch(debug=True, share=utils.is_google_colab())