How to add another models to generate image

[Jzz8977]

Q1: How to add another models in select
Q2: ### Is it possible to turn off the automatic download function?
Reference your own local files
Or generate a custom_node folder or models folder in the project directory.

Below is the code I tried in gradio_app_sdxl_specific_id_old_version.py file
`
models_dict = {

"Juggernaut": r"D:\StoryDiffusion\data\models\Juggernaut\Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors",

"RealVision": r"D:\StoryDiffusion\data\RealVisXL_V4.0" ,

"SDXL": r"D:\StoryDiffusion\data\stable-diffusion-xl-base-1.0" ,

"Unstable": r"D:\StoryDiffusion\data\models\sdxl-unstable-diffusers-y",

"starlightXLAnimated_v3": r"D:\StoryDiffusion\data\models\SDX\starlightXLA3.safetensors"

}`

`Running on local URL: http://0.0.0.0:7860

Traceback (most recent call last):

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\gradio\queueing.py", line 501, in call_prediction
output = await route_utils.call_process_api(

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\gradio\route_utils.py", line 258, in call_process_api
output = await app.get_blocks().process_api(

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\gradio\blocks.py", line 1710, in process_api
result = await self.call_function(

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\gradio\blocks.py", line 1262, in call_function
prediction = await utils.async_iteration(iterator)

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\gradio\utils.py", line 517, in async_iteration
return await iterator.anext()

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\gradio\utils.py", line 510, in anext
return await anyio.to_thread.run_sync(

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\anyio_backends_asyncio.py", line 2144, in run_sync_in_worker_thread
return await future

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\anyio_backends_asyncio.py", line 851, in run
result = context.run(func, *args)

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\gradio\utils.py", line 493, in run_sync_iterator_async
return next(iterator)

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\gradio\utils.py", line 676, in gen_wrapper
response = next(iterator)

File "d:\StoryDiffusion\gradio_app_sdxl_specific_id_old_version.py", line 519, in process_generation
pipe = StableDiffusionXLPipeline.from_pretrained(sd_model_path, torch_dtype=torch.float16, use_safetensors=use_safe_tensor)

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\diffusers\pipelines\pipeline_utils.py", line 1096, in from_pretrained
cached_folder = cls.download(

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\diffusers\pipelines\pipeline_utils.py", line 1656, in download
info = model_info(pretrained_model_name, token=token, revision=revision)

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\huggingface_hub\utils_validators.py", line 106, in _inner_fn
validate_repo_id(arg_value)

File "D:\Dev\Anaconda3\envs\sydd\lib\site-packages\huggingface_hub\utils_validators.py", line 160, in validate_repo_id
raise HFValidationError(

huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'D:\StoryDiffusion\data\models\SDX\starlightXLA3.safetensors'.`

[Z-YuPeng]

Please run python gradio_app_sdxl_specific_id_low_vram.py
And You can add your model in the config