Add use_safetensors=True to from_pretrained func

README.md

@@ -66,16 +66,20 @@ To install the software, please follow these steps:
 
 #### Model Cache
 * The inpainting model, which is saved in HuggingFace's cache and includes `inpaint` (case-insensitive) in its repo_id, will also be added to the Inpainting Model ID dropdown list.
-  * If there's a specific model you'd like to use, you can cache it in advance using the following Python commands (venv/bin/python for Linux and MacOS):
-```bash
-venv\Scripts\python.exe
-```
-```python
-from diffusers import StableDiffusionInpaintPipeline
-pipe = StableDiffusionInpaintPipeline.from_pretrained("Uminosachi/dreamshaper_5-inpainting")
-exit()
-```
+  * If there's a specific model you'd like to use, you can cache it in advance using the following Python commands (`venv/bin/python` for Linux and MacOS):
+  ```bash
+  venv\Scripts\python.exe
+  ```
+  ```python
+  from diffusers import StableDiffusionInpaintPipeline
+  pipe = StableDiffusionInpaintPipeline.from_pretrained("Uminosachi/dreamshaper_5-inpainting")
+  exit()
+  ```
 * The model diffusers downloaded is typically stored in your home directory. You can find it at `/home/username/.cache/huggingface/hub` for Linux and MacOS users, or at `C:\Users\username\.cache\huggingface\hub` for Windows users.
+  * When executing inpainting, if the following error is output to the console, try deleting the corresponding model from the cache folder mentioned above:
+  ```
+  An error occurred while trying to fetch model name...
+  ```
 
 ### Cleaner Tab
 

scripts/inpaint_anything.py

@@ -385,16 +385,19 @@ def run_inpaint(input_image, sel_mask, prompt, n_prompt, ddim_steps, cfg_scale,
         torch_dtype = torch.float16
 
     try:
-        pipe = StableDiffusionInpaintPipeline.from_pretrained(inp_model_id, torch_dtype=torch_dtype, local_files_only=local_files_only)
+        pipe = StableDiffusionInpaintPipeline.from_pretrained(
+            inp_model_id, torch_dtype=torch_dtype, local_files_only=local_files_only, use_safetensors=True)
     except Exception as e:
         ia_logging.error(str(e))
         if not config_offline_inpainting:
             try:
-                pipe = StableDiffusionInpaintPipeline.from_pretrained(inp_model_id, torch_dtype=torch_dtype)
+                pipe = StableDiffusionInpaintPipeline.from_pretrained(
+                    inp_model_id, torch_dtype=torch_dtype, use_safetensors=True)
             except Exception as e:
                 ia_logging.error(str(e))
                 try:
-                    pipe = StableDiffusionInpaintPipeline.from_pretrained(inp_model_id, torch_dtype=torch_dtype, force_download=True)
+                    pipe = StableDiffusionInpaintPipeline.from_pretrained(
+                        inp_model_id, torch_dtype=torch_dtype, force_download=True, use_safetensors=True)
                 except Exception as e:
                     ia_logging.error(str(e))
                     return