artiprocher / diffsynth-studio Goto Github PK

when running sd_video_rerender.py error came

(/root/autodl-tmp/DiffSynth-Studio/venv/DiffSynthStudio) root@autodl-container-28ee458c74-84d890ed:~/autodl-tmp/DiffSynth-Studio/examples# python sd_video_rerender.py
Traceback (most recent call last):
File "/root/autodl-tmp/DiffSynth-Studio/examples/sd_video_rerender.py", line 1, in
from diffsynth import ModelManager, SDVideoPipeline, ControlNetConfigUnit, VideoData, save_video
ModuleNotFoundError: No module named 'diffsynth'

IndexError: 150
Traceback:
File "D:\DiffSynth-Studio.glut\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 542, in _run_script
exec(code, module.dict)
File "D:\DiffSynth-Studio\pages\2_Video_Creator.py", line 197, in
SDVideoPipelineRunner(in_streamlit=True).run(config)
File "D:\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 337, in run
config["pipeline"]["pipeline_inputs"] = self.add_data_to_pipeline_inputs(config["data"], config["pipeline"]["pipeline_inputs"])
File "D:\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 315, in add_data_to_pipeline_inputs
pipeline_inputs["input_frames"] = self.load_video(**data["input_frames"])
File "D:\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 310, in load_video
frames = [video[i] for i in range(start_frame_id, end_frame_id)]
File "D:\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 310, in
frames = [video[i] for i in range(start_frame_id, end_frame_id)]
File "D:\DiffSynth-Studio\diffsynth\data\video.py", line 121, in getitem
frame = self.data.getitem(item)
File "D:\DiffSynth-Studio\diffsynth\data\video.py", line 15, in getitem
return Image.fromarray(np.array(self.reader.get_data(item))).convert("RGB")
File "D:\DiffSynth-Studio.glut\lib\site-packages\imageio\core\format.py", line 437, in get_data
raise IndexError(index)

input_video = [video[i] for i in range(40*60 41*60)]

File "/code/./diffsynth/data/video.py", line 121, in getitem
frame = self.data.getitem(item)
File "/code/./diffsynth/data/video.py", line 15, in getitem
return Image.fromarray(np.array(self.reader.get_data(item))).convert("RGB")
File "/opt/conda/lib/python3.10/site-packages/imageio/core/format.py", line 437, in get_data
raise IndexError(index)
IndexError: 2400

Hello sir, why image creator does not have lora and contrlnet modules?

Traceback (most recent call last):
File "D:\PyCharm 2023.2.1\project\DiffSynth-Studio\examples\diffutoon_toon_shading.py", line 94, in
runner.run(config)
File "D:\PyCharm 2023.2.1\project\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 340, in run
model_manager, pipe = self.load_pipeline(**config["models"])
File "D:\PyCharm 2023.2.1\project\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 271, in load_pipeline
model_manager.load_textual_inversions(textual_inversion_folder)
File "D:\PyCharm 2023.2.1\project\DiffSynth-Studio\diffsynth\models_init_.py", line 177, in load_textual_inversions
for file_name in os.listdir(folder):
FileNotFoundError: [WinError 3] 系统找不到指定的路径。: 'models/textual_inversion'

It's hard to make the file diffsynth/models/attention.py run.
Please help,Compared to comfyui,i really like your code.
Thanks for your harding work.

output_paths = sample(
File "/code/./diffsynth_w.py", line 148, in sample
output_video = pipe(
File "/opt/conda/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/code/./diffsynth/pipelines/stable_diffusion_video.py", line 195, in call
prompt_emb_posi = self.prompter.encode_prompt(self.text_encoder, prompt, clip_skip=clip_skip, device=self.device, positive=True).cpu()
File "/code/./diffsynth/prompts/init.py", line 84, in encode_prompt
prompt_emb = text_encoder(input_ids, clip_skip=clip_skip)
File "/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/code/./diffsynth/models/sd_text_encoder.py", line 68, in forward
embeds = encoder(embeds, attn_mask=attn_mask)
File "/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/code/./diffsynth/models/sd_text_encoder.py", line 23, in forward
hidden_states = self.attn(hidden_states, attn_mask=attn_mask)
File "/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/code/./diffsynth/models/attention.py", line 76, in forward
return self.torch_forward(hidden_states[0], encoder_hidden_states=encoder_hidden_states, attn_mask=attn_mask)
File "/code/./diffsynth/models/attention.py", line 43, in torch_forward
hidden_states = torch.nn.functional._scaled_dot_product_attention(q, k, v, attn_mask=attn_mask)
RuntimeError: output with shape [77, 12, 1, 1] doesn't match the broadcast shape [77, 12, 77, 77]

我每次一选用controlnet-depth就会报以下的错误
ModuleNotFoundError: No module named 'basicsr'
预处理模型都是https://huggingface.co/lllyasviel/Annotators/tree/main这里下的，有没有人知道是为什么，或者这个depth对应链接里那个预处理模型？ 我认为是预处理器模型的问题

如题

numframes default is 64
fps default is 120

Shouldn't this make a video lasting approx half a second? But it makes a 4 second video?

If I wanted a 10 second video at 30 fps, what would I set the numframes and fps to?

RT

sysinfo:
Miniconda conda3
Python 3.10
(ubuntu22.04)

Hi, Great work!!
I have one question: in the paper, you said that "we adopt flash attention [6] in all attention layers, including the text encoder, UNet, VAE, ControlNet models, and motion modules". I found the xformers_forward() function in the Attention module. However, this function is never called during the whole process of "diffutoon_toon_shading.py". It is very strange, since it still can generate high resolution videos. I am very confused how does this work?
Thanks!

如果设置的比例为16:9，则会发生异常

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2024-03-19 16:17:44.901 Uncaught app exception
Traceback (most recent call last):
  File "/home/attect/anaconda3/envs/DiffSynthStudio/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 542, in _run_script
    exec(code, module.__dict__)
  File "/mnt/e/DiffSynth-Studio/examples/diffutoon_toon_shading.py", line 94, in <module>
    runner.run(config)
  File "/mnt/e/DiffSynth-Studio/diffsynth/pipelines/stable_diffusion_video.py", line 349, in run
    output_video = self.synthesize_video(model_manager, pipe, config["pipeline"]["seed"], smoother, **config["pipeline"]["pipeline_inputs"])
  File "/mnt/e/DiffSynth-Studio/diffsynth/pipelines/stable_diffusion_video.py", line 299, in synthesize_video
    output_video = pipe(**pipeline_inputs, smoother=smoother)
  File "/home/attect/anaconda3/envs/DiffSynthStudio/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/mnt/e/DiffSynth-Studio/diffsynth/pipelines/stable_diffusion_video.py", line 221, in __call__
    noise_pred_posi = lets_dance_with_long_video(
  File "/mnt/e/DiffSynth-Studio/diffsynth/pipelines/stable_diffusion_video.py", line 38, in lets_dance_with_long_video
    hidden_states_batch = lets_dance(
  File "/mnt/e/DiffSynth-Studio/diffsynth/pipelines/dancer.py", line 72, in lets_dance
    hidden_states, time_emb, text_emb, res_stack = block(hidden_states, time_emb, text_emb, res_stack)
  File "/home/attect/anaconda3/envs/DiffSynthStudio/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/home/attect/anaconda3/envs/DiffSynthStudio/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
    return forward_call(*args, **kwargs)
  File "/mnt/e/DiffSynth-Studio/diffsynth/models/sd_unet.py", line 222, in forward
    hidden_states = torch.cat([hidden_states, res_hidden_states], dim=1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 24 but got size 23 for tensor number 1 in the list.

如果帧数大于1000，经测试好像会把所有帧解码为图像存在内存中，128GB内存也顶不住，能否改为按需解码或者全部处理为图片储存到磁盘上，使用时载入

100%|██████████████████████████████████████████████████████████████████████████████████| 900/900 [00:09<00:00, 92.59it/s]
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Killed

can anyone provide the short brief how to use this?
&
Where i can download the model...
Thank You

Traceback:
File "C:\Users\DL\anaconda3\Lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 584, in _run_script
exec(code, module.dict)
File "F:\CYQ\AI\DiffSynth-Studio\pages\2_Video_Creator.py", line 197, in
SDVideoPipelineRunner(in_streamlit=True).run(config)
File "F:\CYQ\AI\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 337, in run
config["pipeline"]["pipeline_inputs"] = self.add_data_to_pipeline_inputs(config["data"], config["pipeline"]["pipeline_inputs"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\CYQ\AI\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 315, in add_data_to_pipeline_inputs
pipeline_inputs["input_frames"] = self.load_video(**data["input_frames"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\CYQ\AI\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 310, in load_video
frames = [video[i] for i in range(start_frame_id, end_frame_id)]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\CYQ\AI\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 310, in
frames = [video[i] for i in range(start_frame_id, end_frame_id)]
~~~~~^^^
File "F:\CYQ\AI\DiffSynth-Studio\diffsynth\data\video.py", line 121, in getitem
frame = self.data.getitem(item)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\CYQ\AI\DiffSynth-Studio\diffsynth\data\video.py", line 15, in getitem
return Image.fromarray(np.array(self.reader.get_data(item))).convert("RGB")
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\DL\anaconda3\Lib\site-packages\imageio\core\format.py", line 437, in get_data
raise IndexError(index)

在使用过程非常坎坷/(ㄒoㄒ)/，真的非常想体验这个应用的效果，有没有懂得大佬帮忙康康这个问题啊

D:\AIGC\DiffSynth-Studio-main\diffsynth\models\attention.py:43: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:263.)
hidden_states = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=attn_mask)

会一直卡在这里

TypeError: diffsynth.pipelines.stable_diffusion_video.SDVideoPipelineRunner.load_video() argument after ** must be a mapping, not NoneType
File "F:\DiffSynth-Studio-main\DiffSynthStudio\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 542, in _run_script
exec(code, module.dict)
File "F:\DiffSynth-Studio-main\pages\2_Video_Creator.py", line 197, in
SDVideoPipelineRunner(in_streamlit=True).run(config)
File "F:\DiffSynth-Studio-main\diffsynth\pipelines\stable_diffusion_video.py", line 337, in run
config["pipeline"]["pipeline_inputs"] = self.add_data_to_pipeline_inputs(config["data"], config["pipeline"]["pipeline_inputs"])
File "F:\DiffSynth-Studio-main\diffsynth\pipelines\stable_diffusion_video.py", line 315, in add_data_to_pipeline_inputs
pipeline_inputs["input_frames"] = self.load_video(**data["input_frames"])

Hello, the pictures I produce are always black. I guess it is related to half precision. How can I adjust the parameters?

如题

(DiffSynthStudio) D:\下载\DiffSynth-Studio-main>python -m streamlit run Diffsynth_Studio.py
Traceback (most recent call last):
File "D:\Anaconda\envs\DiffSynthStudio\lib\runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "D:\Anaconda\envs\DiffSynthStudio\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\streamlit_main.py", line 20, in
main(prog_name="streamlit")
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\click\core.py", line 1157, in call
return self.main(*args, **kwargs)
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\click\core.py", line 1078, in main
rv = self.invoke(ctx)
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\click\core.py", line 1688, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\click\core.py", line 1434, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\click\core.py", line 783, in invoke
return __callback(*args, **kwargs)
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\streamlit\web\cli.py", line 233, in main_run
_main_run(target, args, flag_options=kwargs)
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\streamlit\web\cli.py", line 269, in _main_run
bootstrap.run(file, is_hello, args, flag_options)
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\streamlit\web\bootstrap.py", line 430, in run
asyncio.run(run_server())
File "D:\Anaconda\envs\DiffSynthStudio\lib\asyncio\runners.py", line 44, in run
return loop.run_until_complete(main)
File "D:\Anaconda\envs\DiffSynthStudio\lib\asyncio\base_events.py", line 647, in run_until_complete
return future.result()
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\streamlit\web\bootstrap.py", line 418, in run_server
await server.start()
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\streamlit\web\server\server.py", line 262, in start
start_listening(app)
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\streamlit\web\server\server.py", line 129, in start_listening
start_listening_tcp_socket(http_server)
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\streamlit\web\server\server.py", line 188, in start_listening_tcp_socket
http_server.listen(port, address)
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\tornado\tcpserver.py", line 183, in listen
sockets = bind_sockets(
File "D:\Anaconda\envs\DiffSynthStudio\lib\site-packages\tornado\netutil.py", line 162, in bind_sockets
sock.bind(sockaddr)
PermissionError: [WinError 10013] 以一种访问权限不允许的方式做了一个访问套接字的尝试。

When toon shading, two matrix shapes cannot be multiplied

Hi! :)
I'm really interested in the new Difftoon pipeline, but whatever input video I use I get this error

File "/home/wizard/repositories/DiffSynth-Studio/diffsynth/models/sd_unet.py", line 222, in forward
    hidden_states = torch.cat([hidden_states, res_hidden_states], dim=1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 16 but got size 15 for tensor number 1 in the list.

I set up the environment as indicated in the README.md and it worked flawlessly. I have no idea what I should look for to fix this: I haven't changed anything in the settings except the input video path and its resolution.

Thank you for the help!!

当我设置 Lora 为 LCM 1.5 Lora时候 ，发现这个错误：

1. 我发现是 在转换 downsamplers时候 ，down 对应的 权重是 （320，64，3，3，），后面两个维度不是能够压缩的1 1 ，我该如何修改呢，
   lora_unet_down_blocks_0_downsamplers_0_conv.alpha:torch.Size([])
   lora_unet_down_blocks_0_downsamplers_0_conv.lora_down.weight:torch.Size([64, 320, 3, 3])
   lora_unet_down_blocks_0_downsamplers_0_conv.lora_up.weight:torch.Size([320, 64, 1, 1])
2. 关于 diffusers 中 LCM Lora 实现，封装的太隐蔽，没有找到 ，请问是和项目一样的实现吗，
   

作者您好，请问如何使用lora模型？我这边尝试在diffutoon_toon_shading.py中，添加了lora模型models/lora/HWmakeup.safetensors，并且设置为1，提示词也用了lora:HWmakeup:1.0，但是感觉没有什么效果？

torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 256.00 MiB (GPU 0; 8.00 GiB total capacity; 7.31 GiB already allocated; 0 bytes free; 7.99 GiB allowed; 7.78 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

如题

CPU：5800H
显卡：3070 loptop 8G
内存：64GB

Image Creator
Model type：sd_xl_turbo_1.0_fp16.safetensors

Drawing tool：freedraw
Stroke width：50
Denoising strength：0.7
Repetition：6

Generate image：
enable auto update
columns：3

I really like the video.Thank you!!

Hello. I tried installing this locally, it took around an hour, and it did not work. I tried installing it on Colab, that took another hour, and it did not work. It would be nice to have a notebook attached to this repo so we can just click "run all" and try it out. Thank you for making this repo though.

!!! Exception during processing !!!
Traceback (most recent call last):
File "/data/comfy-ui/execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/data/comfy-ui/execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "/data/comfy-ui/execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/data/comfy-ui/custom_nodes/comfyui-cartoon-stylization/nodes.py", line 71, in stylize
DiffSynthService().stylize(video_file_path, width, height, frames, fps, output_dir, TARGET_FPS, prompt, neg_prompt,stage1_infer_steps,stage2_infer_steps)
File "/data/comfy-ui/custom_nodes/comfyui-cartoon-stylization/diffsynth_service.py", line 181, in stylize
runner.run(config_stage_1)
File "/data/comfy-ui/custom_nodes/comfyui-cartoon-stylization/diffsynth/pipelines/stable_diffusion_video.py", line 358, in run
output_video = self.synthesize_video(model_manager, pipe, config["pipeline"]["seed"], smoother, **config["pipeline"]["pipeline_inputs"])
File "/data/comfy-ui/custom_nodes/comfyui-cartoon-stylization/diffsynth/pipelines/stable_diffusion_video.py", line 304, in synthesize_video
output_video = pipe(**pipeline_inputs, smoother=smoother)
File "/data/comfy-ui/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/data/comfy-ui/custom_nodes/comfyui-cartoon-stylization/diffsynth/pipelines/stable_diffusion_video.py", line 226, in call
noise_pred_posi = lets_dance_with_long_video(
File "/data/comfy-ui/custom_nodes/comfyui-cartoon-stylization/diffsynth/pipelines/stable_diffusion_video.py", line 43, in lets_dance_with_long_video
hidden_states_batch = lets_dance(
File "/data/comfy-ui/custom_nodes/comfyui-cartoon-stylization/diffsynth/pipelines/dancer.py", line 72, in lets_dance
hidden_states, time_emb, text_emb, res_stack = block(hidden_states, time_emb, text_emb, res_stack)
File "/data/comfy-ui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/data/comfy-ui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "/data/comfy-ui/custom_nodes/comfyui-cartoon-stylization/diffsynth/models/sd_unet.py", line 222, in forward
hidden_states = torch.cat([hidden_states, res_hidden_states], dim=1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 136 but got size 135 for tensor number 1 in the list.

Traceback (most recent call last):
File "/root/miniconda3/envs/DiffSynthStudio/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 584, in _run_script
exec(code, module.dict)
File "/root/autodl-tmp/DiffSynth-Studio/pages/2_Video_Creator.py", line 197, in
SDVideoPipelineRunner(in_streamlit=True).run(config)
File "/root/autodl-tmp/DiffSynth-Studio/diffsynth/pipelines/stable_diffusion_video.py", line 340, in run
model_manager, pipe = self.load_pipeline(**config["models"])
File "/root/autodl-tmp/DiffSynth-Studio/diffsynth/pipelines/stable_diffusion_video.py", line 271, in load_pipeline
model_manager.load_textual_inversions(textual_inversion_folder)
File "/root/autodl-tmp/DiffSynth-Studio/diffsynth/models/init.py", line 181, in load_textual_inversions
state_dict = load_state_dict(os.path.join(folder, file_name))
File "/root/autodl-tmp/DiffSynth-Studio/diffsynth/models/init.py", line 244, in load_state_dict
return load_state_dict_from_bin(file_path, torch_dtype=torch_dtype)
File "/root/autodl-tmp/DiffSynth-Studio/diffsynth/models/init.py", line 258, in load_state_dict_from_bin
state_dict = torch.load(file_path, map_location="cpu")
File "/root/miniconda3/envs/DiffSynthStudio/lib/python3.9/site-packages/torch/serialization.py", line 1040, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/root/miniconda3/envs/DiffSynthStudio/lib/python3.9/site-packages/torch/serialization.py", line 1258, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, '-'.

Traceback (most recent call last):
File "D:\PyCharm 2023.2.1\project\DiffSynth-Studio\examples\diffutoon_toon_shading.py", line 94, in
runner.run(config)
File "D:\PyCharm 2023.2.1\project\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 340, in run
model_manager, pipe = self.load_pipeline(**config["models"])
File "D:\PyCharm 2023.2.1\project\DiffSynth-Studio\diffsynth\pipelines\stable_diffusion_video.py", line 271, in load_pipeline
model_manager.load_textual_inversions(textual_inversion_folder)
File "D:\PyCharm 2023.2.1\project\DiffSynth-Studio\diffsynth\models_init_.py", line 177, in load_textual_inversions
for file_name in os.listdir(folder):
FileNotFoundError: [WinError 3] 系统找不到指定的路径。: 'models/textual_inversion'

请问下如果使用sdxl_lightling的话，是不是推理速度会有提升。我现在4090单卡渲染20秒的视频花了快两个小时才好。

如何更改采样器和采样器参数
没有在config里发现对应字段。