I will send error not sure why I cant use the download model bat. it doesnt complete the entire down

ᴏᴏᴍɴɪ I will send error not sure why I cant use the download model bat. it doesnt comp...

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Furkan Gözükara SECourses•3/29/25, 7:19 PM

remove hugging face download speed up

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Furkan Gözükara SECourses•3/29/25, 7:19 PM

set HF_HUB_ENABLE_HF_TRANSFER=1

FFurkan Gözükara SECourses remove hugging face download speed up

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ᴏᴍɴɪOP•3/29/25, 7:19 PM

Yes, I removed that line.

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Furkan Gözükara SECourses•3/29/25, 7:19 PM

remove it from bat file

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Furkan Gözükara SECourses•3/29/25, 7:19 PM

in that case you can download manually

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ᴏᴍɴɪOP•3/29/25, 7:20 PM

I will post errors

FFurkan Gözükara SECourses in that case you can download manually

ᴏ

ᴏᴍɴɪOP•3/29/25, 7:20 PM

When I put the wan t2v or i2v file in models and run the app it states cannot find file directory

ᴏᴏᴍɴɪ When I put the wan t2v or i2v file in models and run the app it states cannot fi...

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Furkan Gözükara SECourses•3/29/25, 7:21 PM

yes download manually

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Furkan Gözükara SECourses•3/29/25, 7:21 PM

it will find

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Furkan Gözükara SECourses•3/29/25, 7:22 PM

All models are uploaded as zip files that you can download from browser or with any app and extract. After extracting move models folder into your Wan 2.1 installation: https://huggingface.co/OwlMaster/wan21/tree/main

OwlMaster/wan21 at main

ᴏᴏᴍɴɪ I will send error not sure why I cant use the download model bat. it doesnt comp...

W

Weatherby•3/29/25, 7:54 PM

I get the same sort of thing. The HF transfer thing makes my downloads freeze up before they finish. Disabling it makes all of the files download at one time and throws read erros then restarts over and over, then stops. Then I have to start it again and it does it again.. making progress each run... idk why.

WWeatherby I get the same sort of thing. The HF transfer thing makes my downloads freeze up...

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

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

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Furkan Gözükara SECourses•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...

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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 ?

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dalybor•3/29/25, 8:18 PM

to clarify for images not video

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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 SECourses•3/29/25, 8:20 PM

do you see error on cmd?

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Furkan Gözükara SECourses•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...

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

make params count 5b

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Furkan Gözükara SECourses•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?

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

it decides how much model will be loaded on vram

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Furkan Gözükara SECourses•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

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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?

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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

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Dazzastrous [4090]•3/29/25, 8:51 PM

oh no just had to load some more stuff its working

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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 SECourses•3/29/25, 10:29 PM

update is sufficient

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

if only not works make a fresh install

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Furkan Gözükara SECourses•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

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ᴏᴍɴɪOP•3/30/25, 2:24 PM

Thank you. Have it running now.

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ᴏᴍɴɪOP•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 SECourses•3/30/25, 11:16 PM

you need to make a fresh install

F

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

repo urls changed you still have olders

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