Andranik Sargsyan commited on
Commit
08504da
β€’
1 Parent(s): a973c78

add sbs image URLs

Browse files
Files changed (2) hide show
  1. README.md +1 -1
  2. app.py +12 -36
README.md CHANGED
@@ -1,12 +1,12 @@
1
  ---
2
  title: HD-Painter
3
  emoji: πŸ§‘β€πŸŽ¨
 
4
  colorFrom: green
5
  colorTo: blue
6
  sdk: gradio
7
  sdk_version: 3.47.1
8
  python_version: 3.9
9
- suggested_hardware: a100-large
10
  app_file: app.py
11
  pinned: false
12
  pipeline_tag: hd-painter
 
1
  ---
2
  title: HD-Painter
3
  emoji: πŸ§‘β€πŸŽ¨
4
+ suggested_hardware: a10g-largex2
5
  colorFrom: green
6
  colorTo: blue
7
  sdk: gradio
8
  sdk_version: 3.47.1
9
  python_version: 3.9
 
10
  app_file: app.py
11
  pinned: false
12
  pipeline_tag: hd-painter
app.py CHANGED
@@ -38,14 +38,14 @@ example_inputs = [
38
  ]
39
 
40
  thumbnails = [
41
- 'assets/examples/sbs/a40.png',
42
- 'assets/examples/sbs/a4.png',
43
- 'assets/examples/sbs/a65.png',
44
- 'assets/examples/sbs/a54.png',
45
- 'assets/examples/sbs/a51.png',
46
- 'assets/examples/sbs/a46.png',
47
- 'assets/examples/sbs/a19.png',
48
- 'assets/examples/sbs/a2.png'
49
  ]
50
 
51
  example_previews = [
@@ -68,29 +68,11 @@ inpainting_models = OrderedDict([
68
  sr_model = models.sd2_sr.load_model(device='cuda:1')
69
  sam_predictor = models.sam.load_model(device='cuda:0')
70
 
71
- inp_model = None
72
- cached_inp_model_name = ''
73
-
74
- def remove_cached_inpainting_model():
75
- global inp_model
76
- global cached_inp_model_name
77
- del inp_model
78
- inp_model = None
79
- cached_inp_model_name = ''
80
- torch.cuda.empty_cache()
81
-
82
-
83
  def set_model_from_name(inp_model_name):
84
- global cached_inp_model_name
85
  global inp_model
86
-
87
- if inp_model_name == cached_inp_model_name:
88
- print (f"Activating Cached Inpaintng Model: {inp_model_name}")
89
- return
90
-
91
  print (f"Activating Inpaintng Model: {inp_model_name}")
92
  inp_model = inpainting_models[inp_model_name]
93
- cached_inp_model_name = inp_model_name
94
 
95
 
96
  def rasg_run(use_painta, prompt, input, seed, eta, negative_prompt, positive_prompt, ddim_steps,
@@ -177,12 +159,6 @@ def upscale_run(
177
  negative_prompt='', positive_prompt=', high resolution professional photo'):
178
  torch.cuda.empty_cache()
179
 
180
- # Load SR model and SAM predictor
181
- # sr_model = models.sd2_sr.load_model()
182
- # sam_predictor = None
183
- # if use_sam_mask:
184
- # sam_predictor = models.sam.load_model()
185
-
186
  seed = int(seed)
187
  img_index = int(img_index)
188
 
@@ -232,7 +208,7 @@ with gr.Blocks(css='style.css') as demo:
232
 
233
  if on_huggingspace:
234
  gr.HTML("""
235
- <p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings.
236
  <br/>
237
  <a href="https://huggingface.co/spaces/PAIR/HD-Painter?duplicate=true">
238
  <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
@@ -247,7 +223,7 @@ with gr.Blocks(css='style.css') as demo:
247
  with gr.Column():
248
  model_picker = gr.Dropdown(
249
  list(inpainting_models.keys()),
250
- value=0,
251
  label = "Please select a model!",
252
  )
253
  with gr.Column():
@@ -257,7 +233,7 @@ with gr.Blocks(css='style.css') as demo:
257
  prompt = gr.Textbox(label = "Inpainting Prompt")
258
  with gr.Row():
259
  with gr.Column():
260
- input = gr.ImageMask(label = "Input Image", brush_color='#ff0000', elem_id="inputmask")
261
 
262
  with gr.Row():
263
  inpaint_btn = gr.Button("Inpaint", scale = 0)
 
38
  ]
39
 
40
  thumbnails = [
41
+ 'https://lh3.googleusercontent.com/pw/ABLVV87iCMYxrA59EAiPc3eRTA59jGF2_sJSnwBSilXwx2wtVlEhCsla2CNhCte4oHuDc4Gix4r7QAlbyRrYkHHgT8v6SOhpElvzlS-Ve91lYUEsWeiOf5yix3b47zuW8gEq_n5qBAGocyMpnc0In52mvl3CYIYcXonJx3dXmFvhhSOegluIcnq33t70mkA75YNMaFz3ovDyq9AfCIFEXGqI6cPUSy9n-fvoAUwG5VZZONdWQPpAClk0Im981hvHuLHz3viAHTbrHL4kzEJNclgXFHGUfEB-IU-cUmCVWnXPEaBFnlu_YabcgFdDAfz-bOy0W64TuUAYDzY_X8mv2fKXMoO0KOnMGZL3j0x08rK8kFzs9opczNFwmRjDQJySNVC16upa2HqYBk3S_O-uhC6DPmfm-5RBKXaNrz_MDFKc7n4-DYEBGXz3drbC0U1AIhqvRf5i99QzQWaxccU-maHRJcKSXAndCW0tWxZpWiYx-PFlcUvKM8ls7ySk7JIFFz9gypjubtP2m205uoDwAd0qoXdxgjbFJB5S33PDXVA4qWh9VCs4QLM23H1hoVKzMxxsSXBRkI0-gQK1K6epmcNaEecS61MeUE-sSy24gAKDP00vIx7_RWCqDTMW9jJNm9cQrI7ZCZmSExczudzjb1zXu9r1B1NywGXfboI5cRw_YNZCjPxEHNTXkfV73bApnLnXBDLOSczfi7S4lurLBQh42gbdoMO9SfR0Ssaf5I15D8MGGvxAU9ol6BKxvxIc7PkCIBfs_-codk53u4Rnmt0KrOklYMDOpEBFC_yb_1tlmCkf8QC3gWgNTwIOHU9GDc3Zg6-_-Cu-1FpAeaZOUU4P-HJvC1xSmnMZ0jEc_ZDZZxeuRxk5BccWgt9A-qhvQMxGY3jqcyUdD3taaqzJ_JfsaiBHTk1mrW7IpVJsfVMeNcMZCoV2mI7t8AHh74L2WyTIJFRAOZFPdNLD=w3580-h1150-s-no-gm?authuser=2',
42
+ 'https://lh3.googleusercontent.com/pw/ABLVV84o8jPd39N9XwRLiEwh3G7G8EzTwkoC1dOlL_DapKteXwaX8TLGfkbrC9r4oawjuxf9NiPHnsgmJpWEIDxnQZVzniGw06ylaCDGjBiiNq0z3fEyWHC7jeugaWj98Aqv9FdRm6KFznDeKi0crCxh6QsPbDj8VAFMfoYvpqeVTogWKeA8anzzX5H9zqbvC1H5XPqQFq5DCIPgXN33eZuR7e6yuRqMEgRB9wcaH6Wuv1VUU3HVtsgWzaIC0JPsgTcA2gZA_tikypUWZc32Rtg9rJxmp_ONcOLW56C3AxnsYU_QVohX0Ojol_MsUWciG2jFpRLtVPWEmcwriMxMIsIWwaReY7jUUoMOaYK2AnIMrnNH8_RTvQvBtHfysXmV4BoyyOV4waZeK_gEYO32wlHPztAF_urY-Mhcw__SlVPxHZ32fZi8W8cc2fX6oTCOMSiZ_lTw1kiIRg-K7ZLYbsJlkuC7Al4irAta1bbEBNDVdW2RVRrPcn6PYhmx6LA8kU2NOwDy7j2_zk8_ZWB1VtCGdmU0dYjXmzvPXa5nblCAwogecMeIvWrQE5M6fvxpIWZUnB-77JCOTiAeYWdYrcS5I4SXdKo4Zh6ZnUAAUmoNSQI9XM94s0wcpGTFOfKD8vdOthTyXezrZ72yigVEjIwxkbtU-ktz6p3Tw5qq3bTQPdZchu1YjmrRBY3_TEeKdkjV3m-Kr8gSrL3eIhRtzGv1h955nFdUakHXJwE6KiRrFaI6vD-zdroFrc9O2ufaqo1cXFCueth2hJmqqeQE4mMLFbrPyMS4reYWJ0NZ0mRjn4ykdDVUOEPybDfG6H_j0pLhrTj6qdCCaUjfZ4YAz-THcjUcJUI64-RKO-virtNkk_xGr4_JDbgnnWDTw8t7HX-mcejT_nMR5mqdMm0b9yeSpPCmmKZLGa4cBTaG_S0MfzJYaM3dn-1EgwzC8bBI-wbM2NLMKef3V7Xi=w3580-h1152-s-no-gm?authuser=2',
43
+ 'https://lh3.googleusercontent.com/pw/ABLVV84hMfPeQn5fuVQ1sHUn2adaCduf8MqFPfUE33e7ZI68paIQOqun2_FcIaKAv6KzKsQDHd0gcPYLui7PwKUwaU1Myyfsk5zmhNLOlKu2pxNUdRI1_xWDXe0OkgIGgSVTnxJcAYBsRcPLQc6l-r6w1Tyh37-t5EDw6fYAbtN283ttKN6rPikByccpL6u14TuQLLnxS7KP1qX1BC1uKdnbSX2YMxnB2oPyDXzrSNyuwnqilCEMOdEOv1C4s8piaqLNpfTU-w4yz769Zmt0RYtcoU_RupWFd3Wv6dvrQqZ4pvNkhmKuKMv0vdhSxuCgQV_upFhV2XvNgyNmiXgu9TQZGabb83iRfUVAJ7TyxHic-noQbjfP7NqpEDyDRGDJWtaVOurARj67NuZN3up0MN1NByanM9xnXrnCH84ptfrz_oq9Z9EHAEHbssRkNRqOjMMWjrvECyKI4uoKLGMRdTTXz9znD24odxFOthA9Zk0kGGzv09_ghe8OU9cLjV7zyCkukQsVizbKy6rLfR8v-MfqiVywb_DSSh9ta0xwwgHNNCF9PplOxOpPsDqwIEMGXQPnMse7wWuW3h2m5oYKMwnv4cEwZsOc2-qSYMlscLtcuUlYEDiY0lBwpBigRHuAraYEXhBLaQ3RXGznc5loOfUvKeM2Cx0yDqz-A9vHXgcpLHOFB2duL7P9zH7WUFu3L6hnHONh1CttideaiFFJ3vguCFGj6RhUhaIBxJSJfuEqHMXaYOH2sgqk2GthQPnpCXirWAf6rOdvSgwyLEsJIw0XiM1EfcKAhPqAa32SxWq9V56OLWoRPZRbKWnZnGS3DhkKgeqRwF39FlDUscrBxKwBBTFC59sbIBoUGfUvsuxIwsfOjo8GRFQibEchI6tIZSPIw70ANNkIQBRrPHgVU18-fCR44Ls2FoogJKyQCz76-Fz0ox1i-I4irmZ1Lle0m5CTPmImFLXx-KyU=w2924-h1858-s-no-gm?authuser=2',
44
+ 'https://lh3.googleusercontent.com/pw/ABLVV85OaqBvRCxSxZSKl4eI87bBzXkM0_QgTJ1c4cwviYwxRL7WJ3a9q8yGxUCC3pKUFo13zA9oSEvAGQXPp-hKNfIAaNSWt3oBMrmfNb6RNDc9ER1vMttovSubw0rsr7YkSqztAfb_SB5aAM-VupYpNM2Zqc8sE2t5MREv-WDR9Z61DuIwVUSYbkaOldzobJ33eAqpsq6jRSNjcYbTY_lt7ngi2I9S8li3D8STvj8TE_NJ7ewuUwrWoNu9FVdiJ8zO_2faH9VFXFxMjnPmj8bc9g26HVYitlXPmso8am_lBJNLQsEfmcBIfzcavmOKsj7tKRtOxls_4x1ApQcE7RavHWITNj7eD4aSlHcoJgh-IwdBuocckOyqvrBVhlTuh7vX02j94VsAaVbNhZHsXBI-Lb9_JFnsPeTVyIM4Nc47LFFY3sLgXtzT6P1ydTsRjMw_XlkBhgPNMNhtt9PgJ_7sjxeZIeLGrp1ESZjAsyto5p8M0DkGX6aOxvAXvcK-q8MX3wuf0C-WpzDet0rUO0KhMHyVQpSzVsviYG-XV01kUabsAP6DCzb--brXxgj81lydeLq5HqMzaN13VZsKSIIxDxFwurNPBfesykul195qnRj58onbOUr4kgFPiodB_iX64DrBTR-tt9oXB3Fq6jVmn4FXhnH0g2bzChAADghDCGHcNHc2jUssVr-L59n9Bjz4StDwpL92PpXq-bmxlNvusr-VIs_197p1KqDjQSsBJa3IFSJ3wBv0HhbSZv292ok1Pu0ypv0HoD9FIQjnP6dsk5zzX0AhRfbD8y03lCkvH27Q55LT3dOClw1azAOsWefhuEd0O7Uad57TKA6T-UVaDfPvx4T5EXk9agtDakwPzBAd1xt7cldQjkUvKSLkahmFMWP9cMqidG6bI7v97Bl0y2kb6hKSKNNX7F3aKRF6XUppHbOcEMCO65FJOyuDEug5FUMI7CHh_H4j=w2622-h1858-s-no-gm?authuser=2',
45
+ 'https://lh3.googleusercontent.com/pw/ABLVV879DjJZRPXLj_pDl3X61Q2NC0UpNLnvCw7ME5ooTujvQG3PHlNijyLHk3lJ9Su4p0ejZ7Q7mLl_w7kil2cnUfy4iBCjZFLEcRjjIoZOdxFWayy2_MX9nN8frnSVVcLh_1GE-Rt98AAWaWiEZGx1cbUCAv4y3Y9SXxAIe_DVfMtB1sWzO_dwcMd5ybTaAZ0pXRnRtP9cIrZIvusYRFLWAX-WcwCyOtNAlYvh1X14Dyd3OIs0zut9Z4H38xETX-KdZhgQOvx4XBGN0n2WNlLIftoIm7-VzUgAMdi9UTbN7emZtImq6YKP0BIW2QFPeZqvMtIBVebHa7NAM6Z-V2plDlsj3FUAsdzbwjqzJ5vkO-cHVCLH-a_Vu2IKEt4zzMcIxOp9d7WkCIXyLq_e_aqvSDLWqov-w3F4-EfYadyOiBU0DVS55kz082ZYrs5tnxyc9pP9Skw0e4M82zj_eWOjWCx-Hg9mG8wIsQ_AnVYzPH9hkGSaTW7TNVuTz3gmjcmYZ4poRv7vsgMjfvt_pj6HOdCvW6LFYGLlEt6BaqyEr_Bh_5fUS9FvmFiAYfm4kEcJEFWfxgs8Kg3K5HGJIKx8z5JKYccjgIocpodoIaJLSUqN_Twb_ymt6_7craZLK4x_ISviYtinu0Q1XLdRHCL5LtTLahBSm_4a7RLvYp35cGBqACU-gW6itpLEnfVH749_jIrmH5RPkUiV12ScDbT6OCBo0o7k5Smu-gDY79x-3vFezYGhhjhFB85SHClbjN0ssmfphpwYf0nF_W2PZyns-yP32R5Qt_jNdi49tSPiji6ZWB4fSYe7ffRX-wVodgpEjE_fRR5Agk8-rLFNUGjjNT2givh94-OzQAYi9Dw5XPOFeaKIN-_k15-qc9aeu9oLXImb4_lPufrQN5TrRGnhFFEZAUJ4cGxdIZwl63Wk_wXX1ongG9UW-E5ptRGHQmijFdEuF26KSA4q=w2528-h1858-s-no-gm?authuser=2',
46
+ 'https://lh3.googleusercontent.com/pw/ABLVV84PM84Taj4ptJ0okpqAtv7v6Dcsi0v4tul0_iHAKwpNoKgQ9KulZOZfl34FUR_yNgcOv0SVliE1fB_rliNpMROY5LhZFO-mlIPC-ONaLPLBqhsK-f-rOcVWJLLoaAhrzSNpi4Q2MynkNo-iJvNeN-HzDx_oS4PYvsksqpzY3uqIU4JN50N8JN2k_YBbU4Ckyl4whazYuE06XOSl8qp5oRhWqEK5A1t_c-zF720MFemIi2EWUVPgU68PWqWzwBD2vCnUkN6lxw_qx9h5RnPjF4yHH2Gp3Ytk30psgdOELIxspBOE9egndaA4vnLwQ6-DrAwnyVLDmDSCXjlcj4sJEDKJvtZsJLmfLK2DOxgMvPI6y8Cz_lzL1xzBGgNQ9J9h83P7a4Ui-Uf7yIb-w09qR6kxzwIZpun1gxS2XOURDHkzRt-e5VZ4QAqKT9mXH8prqp9ZQszBTJAkhX7Q7XFlP612Wc0DP3Dzulyrpvc-b2V8gjPQiubGN9OtsI9GEcsJuzfrHnTNV8Mro30z5puvIlT-gCvqy9S95QtxmawK9W9OAdzkF2ZUmko4_mhwKgZCC6IcaSJA-hJtwB7zE6awttk10okMvcknoArJVLIA89rxmUwYVtNjMUOo8L0_gRzjnjwCMFvReeVEQUjbxlYkpzeL6B4ZuIv-xrdSjPp0aS-24L087pSt-IribOI79yibRYoutqSNbs9WeaatjCuciKzJ2NO50ET_zKUxsW0DkL0lNVxo11XyjRPxDl8rGVxyOLc9DmdZfMb_y4HtyFZ3lZdrNzzGRJHJ7Tyk6Jg4mDPmdqWMzCMbxAON-7G2g_ct3Mb2_rvItO4u9yG0JSFv49OckDccc3z3PsWZGRccDcmD0jzRKWM3mys-xBLOFIaC6j9ZzdJKmcjwdrTnWpEMJmDv04u1N1nuYGVZc8VOjzVGmygAjIbAk3wtU28Z2xXToyHycFMCIRj6=w3580-h1186-s-no-gm?authuser=2',
47
+ 'https://lh3.googleusercontent.com/pw/ABLVV85IDYIlqtfT35Vd49jfoyh4x_40iNwA-law-7cfQ1WFa2xmmJmYDlaG6upIn2Fmjw0tr7xcOdWSySJSh2evT9EfLL0aU1jhx9m2xz8SuxJUZZpxAS-FMtQcobIDQBvc7onMDipr_RjNoiwbiO6Smtdw7cpuiDlPnEC9EfwZH-ucEGLHBczojYX2AjjQiCgnNMuqqv-DMUDNYwY9CqjR-TIyE_0pSx-ciW65sHzOPgjtHMRT2Se30ebjoWsvHXCAYhBGMPD6w-UtUyMXL_Zu8lBec7AZ5mnY1emaIOpTbo9lzKbso4dapNQKQ82zTvk4m4DirP8qdzRc483BCCFP-weRaRn7eG-qI6jamb67CVgCFqXHvhf84lUX3jWhX0-aUiqW89aK-heViog9EhTL2o12o7w_65eIy4hkaFWWa4Ptdy22rb_u2EReW5AIboLE3QPUy9QpvMsTfEBzNMKPBCC8QuqxSFJSwv6JrBisFmCVzBZ-sDUKJAr5s8j5qaUf-Uh3M_xsn2ZhpzVubIJNsU7Ccwn-IIKMzMF4aR2LAa5E4YWsRK7rBab2Md8UQrUScbQf5xN8wCMIVRxgB6Z7JyrTje2wNHP5iYGQLksAmmp6o_kuDfbAkqYgR_mbPwG78bJXUJuBPTdcv7mm0iPsPX3Ufa6_RxAANtTMTfgLUZUtGarJ0CaP_NOlRM6NNZpe3k_-gnAXaWZ_klqdcfS3Bl-tY4DdC0dOwSxpUVD-Xeqt4u1JGRxCeZiDer21gpQVgNZOFjEjCg17YSRzN8BpdRP5XI2JfOfTElxmwk4jF-YtpArQkvGDCHEkpA9nuQvQzdA-jDJJaqUalmnacODylxns5WGEXdRzwqonq4ljkGregD3tCGD5KubOP2UdDm7NJ31rIZuB2Jod_J-3bCZowZKqCwMmYmGx26mbhSXsZtUcZEE9GDTNHRnix4E5a2PCf6yZ-7pX-vBi=w2846-h1858-s-no-gm?authuser=2',
48
+ 'https://lh3.googleusercontent.com/pw/ABLVV85R30x4UdJxYPlc6QpL4MFfEpp93B2ma-8GzkvGV9BwLWCcdmkb6fdI7DnvONanoi8qQSYH8p6Et4ZII_Q5tMSEd4luzNYN5xTMw8Tz9dUTh8FZewwInu9itgZOuHjSgIxA-9vGF27KZcVwTq2VyZ8_yQleLNe77drFj3GAcFwzBAGr23AU6J2btXs7yqK4nqii4RzWG2_Xc8xIHocKPD4G4ELTABiCiP8sGtDObhotVEUhOLGKIGwLDHGVYx70a2nV8JDdmopKW3f3K5CTmZwBHDgvHDoYYclakT8uqbVW8-LgHKsoy4LqCIGA725D0aaURINPI8GKwtMAvTO_DEcyVr9tg_47J7S9jWEALcosrggSJr9_6MSMd9JLW26UVIKg3-h7_SEel2maAFaFQxClNhCzpOFoesrfLC0-W7eRNT-nbUeP2IccFoEnd88ZjAeiWDcSuAydcEmlEQAfX_6MdKaDB3t8CVq_iDoI9ejx-9sS7LnXrQUqfypMdo8fsXnvAH6Cm4HsOPXcUf88z2I5uWs8WMyGyKwfGvrgOKUx1F3i43FHUIFlPfNCb4DcwJicCMzXsSttaFoViaKNObC8IjYNdElJ2EFeRQ6fwQ0QdvVjs-G6e5qojLczmQheiwnvwfwDYYxRvBMvIbKrrPtk7BbxmxWtZNEQTZ38FYVp0sJzZgSgdcscXuCGzxJOlHl5ezGuSoaveeNOfwUcnt1UdwbIY5k532csFKinxq3By4bdBqQv7Fi3VPj--UywcofES6oGKwqwcrO79xBg9FIhcboEQ588zQJjrvXrsbfPp6qv9m2HE9S3glUvjmq66F4z1SdJVtMj3OHsYdu4K3zdVKynrutGbrtuCaz5eVIgAkO0CTJ5O_Wkch3XmvQNlW6xf_cuU7kSPpPHDf1BdRvBPzpKNGb7d4wf2kEwUTRGLhQaj6qh-jImuQ3XeA2cfEapc9Hp93lr=w3580-h1382-s-no-gm?authuser=2'
49
  ]
50
 
51
  example_previews = [
 
68
  sr_model = models.sd2_sr.load_model(device='cuda:1')
69
  sam_predictor = models.sam.load_model(device='cuda:0')
70
 
71
+ inp_model = inpainting_models[list(inpainting_models.keys())[0]]
 
 
 
 
 
 
 
 
 
 
 
72
  def set_model_from_name(inp_model_name):
 
73
  global inp_model
 
 
 
 
 
74
  print (f"Activating Inpaintng Model: {inp_model_name}")
75
  inp_model = inpainting_models[inp_model_name]
 
76
 
77
 
78
  def rasg_run(use_painta, prompt, input, seed, eta, negative_prompt, positive_prompt, ddim_steps,
 
159
  negative_prompt='', positive_prompt=', high resolution professional photo'):
160
  torch.cuda.empty_cache()
161
 
 
 
 
 
 
 
162
  seed = int(seed)
163
  img_index = int(img_index)
164
 
 
208
 
209
  if on_huggingspace:
210
  gr.HTML("""
211
+ <p>For faster inference without waiting in queue, you may duplicate the space and upgrade to the suggested GPU in settings.
212
  <br/>
213
  <a href="https://huggingface.co/spaces/PAIR/HD-Painter?duplicate=true">
214
  <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
 
223
  with gr.Column():
224
  model_picker = gr.Dropdown(
225
  list(inpainting_models.keys()),
226
+ value=list(inpainting_models.keys())[0],
227
  label = "Please select a model!",
228
  )
229
  with gr.Column():
 
233
  prompt = gr.Textbox(label = "Inpainting Prompt")
234
  with gr.Row():
235
  with gr.Column():
236
+ input = gr.ImageMask(label = "Input Image", brush_color='#ff0000', elem_id="inputmask", type="pil")
237
 
238
  with gr.Row():
239
  inpaint_btn = gr.Button("Inpaint", scale = 0)