Fix typos
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078bd8d768
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5498539fda
@ -217,7 +217,7 @@ def gradio_convert_model_tab():
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],
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)
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target_save_precision_type = gr.Dropdown(
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label='Target model precison',
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label='Target model precision',
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choices=['unspecified', 'fp16', 'bf16', 'float'],
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value='unspecified',
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)
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@ -115,7 +115,7 @@ def gradio_extract_lora_tab():
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outputs=save_to,
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)
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save_precision = gr.Dropdown(
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label='Save precison',
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label='Save precision',
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choices=['fp16', 'bf16', 'float'],
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value='float',
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interactive=True,
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@ -121,13 +121,13 @@ def gradio_merge_lora_tab():
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outputs=save_to,
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)
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precision = gr.Dropdown(
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label='Merge precison',
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label='Merge precision',
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choices=['fp16', 'bf16', 'float'],
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value='float',
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interactive=True,
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)
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save_precision = gr.Dropdown(
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label='Save precison',
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label='Save precision',
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choices=['fp16', 'bf16', 'float'],
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value='float',
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interactive=True,
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@ -94,7 +94,7 @@ def gradio_resize_lora_tab():
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outputs=save_to,
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)
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save_precision = gr.Dropdown(
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label='Save precison',
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label='Save precision',
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choices=['fp16', 'bf16', 'float'],
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value='fp16',
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interactive=True,
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@ -24,7 +24,7 @@ python convert_diffusers20_original_sd.py ..\models\sd.ckpt
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Specify the .ckpt file and the destination folder as arguments.
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Model judgment is not possible, so please use the `--v1` option or the `--v2` option depending on the model.
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Also, since `.ckpt` does not contain schduler and tokenizer information, you need to copy them from some existing Diffusers model. Please specify with `--reference_model`. You can specify the HuggingFace id or a local model directory.
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Also, since `.ckpt` does not contain scheduler and tokenizer information, you need to copy them from some existing Diffusers model. Please specify with `--reference_model`. You can specify the HuggingFace id or a local model directory.
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If you don't have a local model, you can specify "stabilityai/stable-diffusion-2" or "stabilityai/stable-diffusion-2-base" for v2.
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For v1.4/1.5, "CompVis/stable-diffusion-v1-4" is fine (v1.4 and v1.5 seem to be the same).
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