v21.1.5
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414a98d100
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@ -180,6 +180,7 @@ This will store your a backup file with your current locally installed pip packa
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- Add replace underscore with space option to WD14 captioning. Thanks @sALTaccount!
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- Improve how custom preset is set and handles.
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- Add support for `--listen` argument. This allow gradio to listen for connections from other devices on the network (or internet). For example: `gui.ps1 --listen "0.0.0.0"` will allow anyone to connect to the gradio webui.
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- Updated `Resize LoRA` tab to support LoCon resizing. Added new resize
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* 2023/03/05 (v21.1.4):
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- Removing legacy and confusing use 8bit adam chackbox. It is now configured using the Optimiser drop down list. It will be set properly based on legacy config files.
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* 2023/03/04 (v21.1.3):
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@ -17,6 +17,9 @@ def resize_lora(
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save_to,
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save_precision,
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device,
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dynamic_method,
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dynamic_param,
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verbose,
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):
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# Check for caption_text_input
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if model == '':
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@ -27,16 +30,35 @@ def resize_lora(
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if not os.path.isfile(model):
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msgbox('The provided model is not a file')
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return
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if dynamic_method == 'sv_ratio':
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if float(dynamic_param) < 2:
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msgbox(f'Dynamic parameter for {dynamic_method} need to be 2 or greater...')
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return
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if dynamic_method == 'sv_fro' or dynamic_method == 'sv_cumulative':
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if float(dynamic_param) < 0 or float(dynamic_param) > 1:
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msgbox(f'Dynamic parameter for {dynamic_method} need to be between 0 and 1...')
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return
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# Check if save_to end with one of the defines extension. If not add .safetensors.
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if not save_to.endswith(('.pt', '.safetensors')):
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save_to += '.safetensors'
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if device == '':
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device = 'cuda'
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run_cmd = f'{PYTHON} "{os.path.join("networks","resize_lora.py")}"'
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run_cmd = f'{PYTHON} "{os.path.join("tools","resize_lora.py")}"'
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run_cmd += f' --save_precision {save_precision}'
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run_cmd += f' --save_to {save_to}'
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run_cmd += f' --model {model}'
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run_cmd += f' --new_rank {new_rank}'
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run_cmd += f' --device {device}'
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if not dynamic_method == 'None':
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run_cmd += f' --dynamic_method {dynamic_method}'
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run_cmd += f' --dynamic_param {dynamic_param}'
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if verbose:
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run_cmd += f' --verbose'
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print(run_cmd)
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@ -56,7 +78,7 @@ def gradio_resize_lora_tab():
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with gr.Tab('Resize LoRA'):
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gr.Markdown('This utility can resize a LoRA.')
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lora_ext = gr.Textbox(value='*.pt *.safetensors', visible=False)
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lora_ext = gr.Textbox(value='*.safetensors *.pt', visible=False)
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lora_ext_name = gr.Textbox(value='LoRA model types', visible=False)
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with gr.Row():
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@ -84,6 +106,27 @@ def gradio_resize_lora_tab():
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interactive=True,
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)
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with gr.Row():
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dynamic_method = gr.Dropdown(
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choices=['None',
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'sv_ratio',
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'sv_fro',
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'sv_cumulative'
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],
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value='sv_fro',
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label='Dynamic method',
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interactive=True
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)
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dynamic_param = gr.Textbox(
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label='Dynamic parameter',
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value='0.9',
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interactive=True,
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placeholder='Value for the dynamic method selected.'
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)
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verbose = gr.Checkbox(
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label='Verbose',
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value=False
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)
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with gr.Row():
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save_to = gr.Textbox(
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label='Save to',
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@ -109,6 +152,7 @@ def gradio_resize_lora_tab():
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label='Device',
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placeholder='{Optional) device to use, cuda for GPU. Default: cuda',
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interactive=True,
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value='cuda',
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)
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convert_button = gr.Button('Resize model')
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@ -121,6 +165,9 @@ def gradio_resize_lora_tab():
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save_to,
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save_precision,
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device,
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dynamic_method,
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dynamic_param,
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verbose,
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],
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show_progress=False,
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)
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