ye i opened issues about this but not a precise solution yet

F

Furkan Gözükara SECoursesOP•3/29/25, 8:16 PM

please reply here @Weatherby @ᴏᴍɴɪ https://github.com/huggingface/hf_transfer/issues/63

GitHub

Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handl...

I am using this in my installers and working great for me set HF_HUB_ENABLE_HF_TRANSFER=1 However some people having below error. Any way to fix it? or some auto fallback so it will still work? mod...

D

dalybor•3/29/25, 8:17 PM

D

dalybor•3/29/25, 8:17 PM

any reason why rope pearl not showing faces when i clearly selected a folder where picture pngs of faces are ?

D

dalybor•3/29/25, 8:18 PM

to clarify for images not video

D

dalybor•3/29/25, 8:18 PM

video good just picture swap not working..

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dalybor•3/29/25, 8:20 PM

@Furkan Gözükara SECourses biliyor olabilir misin?

Ddalybor Click to see attachment

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Furkan Gözükara SECoursesOP•3/29/25, 8:20 PM

do you see error on cmd?

F

Furkan Gözükara SECoursesOP•3/29/25, 8:20 PM

look there

FFurkan Gözükara SECourses my app generated in 15 minutes on rtx 3090 ti :d

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Dazzastrous [4090]•3/29/25, 8:28 PM

Yeh nowhere near 10mins for me doc it stays at zero for ages something not right as pinokios is working ? might be something im missing dunno

DDazzastrous [4090]Yeh nowhere near 10mins for me doc it stays at zero for ages something not right...

F

Furkan Gözükara SECoursesOP•3/29/25, 8:44 PM

make params count 5b

F

Furkan Gözükara SECoursesOP•3/29/25, 8:44 PM

and let me know

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Dazzastrous [4090]•3/29/25, 8:45 PM

what does the parameters do?

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Dazzastrous [4090]•3/29/25, 8:46 PM

facefusion got an upgrtade just installing that

DDazzastrous [4090]what does the parameters do?

F

Furkan Gözükara SECoursesOP•3/29/25, 8:47 PM

it decides how much model will be loaded on vram

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Furkan Gözükara SECoursesOP•3/29/25, 8:47 PM

obviously your comptuer uses too much vram

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Dazzastrous [4090]•3/29/25, 8:47 PM

ah

D

Dazzastrous [4090]•3/29/25, 8:47 PM

yup

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Dazzastrous [4090]•3/29/25, 8:48 PM

can you use the 1b model for image to vid now?

D

Dazzastrous [4090]•3/29/25, 8:48 PM

the smallest

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Dazzastrous [4090]•3/29/25, 8:48 PM

3b?

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Dazzastrous [4090]•3/29/25, 8:50 PM

ah looks like the latest version broke yer facefusion

D

Dazzastrous [4090]•3/29/25, 8:51 PM

oh no just had to load some more stuff its working

D

Dazzastrous [4090]•3/29/25, 8:51 PM

can choose preset celebrity faces to swap lol novelty

I

Inoshi•3/29/25, 10:26 PM

For wan 2.1 -1 click installer do i need to reinstall with the new zip or updating it is enough for when a newest version is released?

IInoshi For wan 2.1 -1 click installer do i need to reinstall with the new zip or updati...

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Furkan Gözükara SECoursesOP•3/29/25, 10:29 PM

update is sufficient

F

Furkan Gözükara SECoursesOP•3/29/25, 10:29 PM

if only not works make a fresh install

F

Furkan Gözükara SECoursesOP•3/29/25, 10:29 PM

and move models

A

Aikage•3/30/25, 12:28 PM

do i need to install teacache for the wan gradio ap

A

Aikage•3/30/25, 1:37 PM

 Traceback (most recent call last):
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events
    response = await route_utils.call_process_api(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api
    output = await app.get_blocks().process_api(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2108, in process_api
    result = await self.call_function(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1655, in call_function
    prediction = await anyio.to_thread.run_sync(  # type: ignore
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
    return await get_async_backend().run_sync_in_worker_thread(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread
    return await future
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run
    result = context.run(func, *args)
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper
    response = f(*args, **kwargs)
  File "C:\AI\WAN\Wan2.1\App.py", line 1315, in generate_videos
    video_data = loaded_pipeline(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
TypeError: WanVideoPipeline.__call__() got an unexpected keyword argument 'tea_cache_l1_thresh'

 Traceback (most recent call last):
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events
    response = await route_utils.call_process_api(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api
    output = await app.get_blocks().process_api(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2108, in process_api
    result = await self.call_function(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1655, in call_function
    prediction = await anyio.to_thread.run_sync(  # type: ignore
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
    return await get_async_backend().run_sync_in_worker_thread(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread
    return await future
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run
    result = context.run(func, *args)
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper
    response = f(*args, **kwargs)
  File "C:\AI\WAN\Wan2.1\App.py", line 1315, in generate_videos
    video_data = loaded_pipeline(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
TypeError: WanVideoPipeline.__call__() got an unexpected keyword argument 'tea_cache_l1_thresh'

 Traceback (most recent call last):
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events
    response = await route_utils.call_process_api(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api
    output = await app.get_blocks().process_api(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2108, in process_api
    result = await self.call_function(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1655, in call_function
    prediction = await anyio.to_thread.run_sync(  # type: ignore
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
    return await get_async_backend().run_sync_in_worker_thread(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread
    return await future
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run
    result = context.run(func, *args)
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper
    response = f(*args, **kwargs)
  File "C:\AI\WAN\Wan2.1\App.py", line 1315, in generate_videos
    video_data = loaded_pipeline(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
TypeError: WanVideoPipeline.__call__() got an unexpected keyword argument 'tea_cache_l1_thresh'

 Traceback (most recent call last):
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events
    response = await route_utils.call_process_api(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api
    output = await app.get_blocks().process_api(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2108, in process_api
    result = await self.call_function(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1655, in call_function
    prediction = await anyio.to_thread.run_sync(  # type: ignore
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
    return await get_async_backend().run_sync_in_worker_thread(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread
    return await future
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run
    result = context.run(func, *args)
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper
    response = f(*args, **kwargs)
  File "C:\AI\WAN\Wan2.1\App.py", line 1315, in generate_videos
    video_data = loaded_pipeline(
  File "C:\AI\WAN\Wan2.1\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
TypeError: WanVideoPipeline.__call__() got an unexpected keyword argument 'tea_cache_l1_thresh'

I

Inoshi•3/30/25, 2:15 PM

https://www.reddit.com/r/StableDiffusion/s/bbDvGBgGL9

From the StableDiffusion community on Reddit: New for Wan2.1 : Bett...

Explore this post and more from the StableDiffusion community

FFurkan Gözükara SECourses yes download manually

ᴏ

ᴏᴍɴɪ•3/30/25, 2:24 PM

Thank you. Have it running now.

ᴏ

ᴏᴍɴɪ•3/30/25, 3:15 PM

The part when you explain closing massed compute wont save the session. I would have to recreate and install wan2.1 everytime using Mass compute?

C

cangir01•3/30/25, 5:07 PM

Selam Furkan,
I was using Wan2.1_v38 without any problems. Unfortunately, as soon as I updated to v58 and finally v59, Wan2.1 stopped working 100% correctly. I use your .bat installation file as a template, but I install everything manually and create a conda virtual environment. There are no issues during installation, but after Gradio starts, the 14B text-to-video model is no longer rendering correctly if the Tea cache is enabled, despite the fact that I am always using the same downloaded models. This means the problem is not caused by the models. Other models seem to render correctly with the Tea cache enabled, but somehow, the quality is no longer as good as before, even with 80 steps and high-quality settings, like in versions ≤v38.

After switching back to v38, everything was fine again—high-quality outputs with all models and Tea cache enabled. I think the issue might be caused by Sage Attention or its implementation. In v38 and earlier versions, I couldn’t see any significant quality difference between Tea cache being enabled or disabled, apart from a huge performance uplift. With the newest versions, Sage Attention provides a much better performance boost, but in my case, when comparing the same results to previous versions (≤v38), I can confirm a significant quality difference.

FFurkan Gözükara SECourses ye i opened issues about this but not a precise solution yet

W

Weatherby•3/30/25, 6:20 PM

Done and done.

AAikage ``` Traceback (most recent call last): File "C:\AI\WAN\Wan2.1\venv\lib\site-pa...

F

Furkan Gözükara SECoursesOP•3/30/25, 11:16 PM

you need to make a fresh install

F

Furkan Gözükara SECoursesOP•3/30/25, 11:16 PM

repo urls changed you still have olders

IInoshi https://www.reddit.com/r/StableDiffusion/s/bbDvGBgGL9

F

Furkan Gözükara SECoursesOP•3/30/25, 11:18 PM

our repo dont have it but it looks not very good

ᴏᴏᴍɴɪ The part when you explain closing massed compute wont save the session. I would ...

F

Furkan Gözükara SECoursesOP•3/30/25, 11:18 PM

yes

F

Furkan Gözükara SECoursesOP•3/30/25, 11:18 PM

but i will make installation faster hopefully

Ccangir01 Selam Furkan, I was using Wan2.1_v38 without any problems. Unfortunately, as soo...

F

Furkan Gözükara SECoursesOP•3/30/25, 11:18 PM

we dont use conda

F

Furkan Gözükara SECoursesOP•3/30/25, 11:18 PM

install python 3.10.11 into your c drive please

F

Furkan Gözükara SECoursesOP•3/30/25, 11:19 PM

my app will auto generate venv with it and install properly

F

Furkan Gözükara SECoursesOP•3/30/25, 11:19 PM

also have cuda 12.8, git, ffmpeg, MSVC and c++ tools to be sure

F

Furkan Gözükara SECoursesOP•3/30/25, 11:19 PM

simply this tutorial : https://youtu.be/DrhUHnYfwC0

YouTubeSECourses

How to Install Python, CUDA, cuDNN, C++ Build Tools, FFMPEG & Git T...

If you are interested in using AI, generative AI applications, open source applications in your computer, than this is the most fundamental and important tutorial that you need. In this tutorial I show and explain how to properly install appropriate Python versions accurately, how to switch between different Python versions, how to install diffe...

WWeatherby Done and done.

F

Furkan Gözükara SECoursesOP•3/30/25, 11:19 PM

ty

Original message was deleted

F

Furkan Gözükara SECoursesOP•3/30/25, 11:31 PM

gradio + browser + windows related

F

Furkan Gözükara SECoursesOP•3/30/25, 11:31 PM

but not important

ᴏ