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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
fix broken url fetch in preload_models.py
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23d54ee69e
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303a2495c7
@ -434,7 +434,7 @@ def download_gfpgan():
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if not os.path.exists(model_dest):
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if not os.path.exists(model_dest):
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print(f'Downloading gfpgan model file {model_url}...',end='')
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print(f'Downloading gfpgan model file {model_url}...',end='')
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os.makedirs(os.path.dirname(model_dest), exist_ok=True)
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os.makedirs(os.path.dirname(model_dest), exist_ok=True)
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urllib.request.urlretrieve(model_url,model_dest)
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request.urlretrieve(model_url,model_dest)
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print('...success')
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print('...success')
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except Exception:
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except Exception:
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print('Error loading GFPGAN:')
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print('Error loading GFPGAN:')
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@ -449,7 +449,7 @@ def download_codeformer():
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if not os.path.exists(model_dest):
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if not os.path.exists(model_dest):
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print('Downloading codeformer model file...')
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print('Downloading codeformer model file...')
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os.makedirs(os.path.dirname(model_dest), exist_ok=True)
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os.makedirs(os.path.dirname(model_dest), exist_ok=True)
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urllib.request.urlretrieve(model_url,model_dest)
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request.urlretrieve(model_url,model_dest)
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except Exception:
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except Exception:
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print('Error loading CodeFormer:')
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print('Error loading CodeFormer:')
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print(traceback.format_exc())
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print(traceback.format_exc())
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@ -464,7 +464,7 @@ def download_clipseg():
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weights_dir = 'src/clipseg/weights'
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weights_dir = 'src/clipseg/weights'
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if not os.path.exists(weights_dir):
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if not os.path.exists(weights_dir):
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os.makedirs(os.path.dirname(model_dest), exist_ok=True)
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os.makedirs(os.path.dirname(model_dest), exist_ok=True)
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urllib.request.urlretrieve(model_url,model_dest)
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request.urlretrieve(model_url,model_dest)
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with zipfile.ZipFile(model_dest,'r') as zip:
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with zipfile.ZipFile(model_dest,'r') as zip:
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zip.extractall('src/clipseg')
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zip.extractall('src/clipseg')
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os.rename('src/clipseg/clipseg_weights','src/clipseg/weights')
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os.rename('src/clipseg/clipseg_weights','src/clipseg/weights')
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@ -523,7 +523,6 @@ if __name__ == '__main__':
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print('\n** DOWNLOADING WEIGHTS **')
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print('\n** DOWNLOADING WEIGHTS **')
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successfully_downloaded = download_weight_datasets(models, access_token)
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successfully_downloaded = download_weight_datasets(models, access_token)
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update_config_file(successfully_downloaded)
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update_config_file(successfully_downloaded)
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else:
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print('\n** DOWNLOADING SUPPORT MODELS **')
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print('\n** DOWNLOADING SUPPORT MODELS **')
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download_bert()
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download_bert()
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download_kornia()
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download_kornia()
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