diff --git a/library/convert_model_gui.py b/library/convert_model_gui.py index 6d9c999..fca75fc 100644 --- a/library/convert_model_gui.py +++ b/library/convert_model_gui.py @@ -217,7 +217,7 @@ def gradio_convert_model_tab(): ], ) target_save_precision_type = gr.Dropdown( - label='Target model precison', + label='Target model precision', choices=['unspecified', 'fp16', 'bf16', 'float'], value='unspecified', ) diff --git a/library/extract_lora_gui.py b/library/extract_lora_gui.py index 5587f00..074e3ed 100644 --- a/library/extract_lora_gui.py +++ b/library/extract_lora_gui.py @@ -115,7 +115,7 @@ def gradio_extract_lora_tab(): outputs=save_to, ) save_precision = gr.Dropdown( - label='Save precison', + label='Save precision', choices=['fp16', 'bf16', 'float'], value='float', interactive=True, diff --git a/library/merge_lora_gui.py b/library/merge_lora_gui.py index 12c2ea5..03a1257 100644 --- a/library/merge_lora_gui.py +++ b/library/merge_lora_gui.py @@ -121,13 +121,13 @@ def gradio_merge_lora_tab(): outputs=save_to, ) precision = gr.Dropdown( - label='Merge precison', + label='Merge precision', choices=['fp16', 'bf16', 'float'], value='float', interactive=True, ) save_precision = gr.Dropdown( - label='Save precison', + label='Save precision', choices=['fp16', 'bf16', 'float'], value='float', interactive=True, diff --git a/library/resize_lora_gui.py b/library/resize_lora_gui.py index f5750ee..b9dec29 100644 --- a/library/resize_lora_gui.py +++ b/library/resize_lora_gui.py @@ -94,7 +94,7 @@ def gradio_resize_lora_tab(): outputs=save_to, ) save_precision = gr.Dropdown( - label='Save precison', + label='Save precision', choices=['fp16', 'bf16', 'float'], value='fp16', interactive=True, diff --git a/tools/convert_diffusers20_original_sd.md b/tools/convert_diffusers20_original_sd.md index f2f4883..4763e5f 100644 --- a/tools/convert_diffusers20_original_sd.md +++ b/tools/convert_diffusers20_original_sd.md @@ -24,7 +24,7 @@ python convert_diffusers20_original_sd.py ..\models\sd.ckpt Specify the .ckpt file and the destination folder as arguments. Model judgment is not possible, so please use the `--v1` option or the `--v2` option depending on the model. -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. +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. If you don't have a local model, you can specify "stabilityai/stable-diffusion-2" or "stabilityai/stable-diffusion-2-base" for v2. For v1.4/1.5, "CompVis/stable-diffusion-v1-4" is fine (v1.4 and v1.5 seem to be the same).