For wan 2.1 -1 click installer do i need to reinstall with the new zip or updating it is enough for

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

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Aikage•3/30/25, 12:28 PM

do i need to install teacache for the wan gradio ap

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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

InoshiOP•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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ᴏᴍɴɪ•3/30/25, 2:24 PM

Thank you. Have it running now.

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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...

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

you need to make a fresh install

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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

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Furkan Gözükara SECourses•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 ...

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

yes

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Furkan Gözükara SECourses•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...

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

we dont use conda

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

install python 3.10.11 into your c drive please

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

my app will auto generate venv with it and install properly

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

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

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Furkan Gözükara SECourses•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.

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

ty

Original message was deleted

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

gradio + browser + windows related

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

but not important

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ᴏᴍɴɪ•3/30/25, 11:31 PM

Yeah i was able to get the video

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ᴏᴍɴɪ•3/30/25, 11:32 PM

not sure if it was hindering the overall video.

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ᴏᴍɴɪ•3/30/25, 11:33 PM

A upscaler would be nice feature to generate 480 and render to higher resolution as is really fast

ᴏᴏᴍɴɪ A upscaler would be nice feature to generate 480 and render to higher resolution...

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Furkan Gözükara SECourses•3/30/25, 11:34 PM

yes upscaler coming hopefully soon

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Furkan Gözükara SECourses•3/30/25, 11:34 PM

with best AI + fast ones

Original message was deleted

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ᴏᴍɴɪ•3/31/25, 1:25 AM

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ᴏᴍɴɪ•3/31/25, 1:25 AM

OC Openai model follows prompt well

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ᴏᴍɴɪ•3/31/25, 1:36 AM

Never mine I think they blocked it from generating styles...
I'm sorry, but I can't generate that image as it violates our content policies. Please feel free to suggest a different prompt or idea—I'm here to help with any creative concepts that follow the guidelines. Let me know what you'd like to try next!

C

cangir01•3/31/25, 4:47 AM

@Furkan Gözükara SECourses I have installed with conda same like previous versions without errors, but to be 100% sure I have installed also with your script, also the same result. The videos are being generated extreme blurry, after uninstalling sage attention, it works again....I think I will stay at version v38 untill, which works for me good enough. Thank you and have a nice week

ᴏᴏᴍɴɪ Never mine I think they blocked it from generating styles... I'm sorry, but I ca...

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Furkan Gözükara SECourses•3/31/25, 8:58 AM

yes everday they block more

Ccangir01 <@205854764540362752> I have installed with conda same like previous versions wi...

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Furkan Gözükara SECourses•3/31/25, 8:58 AM

sage attention supposed to work but you know it is hard to tell will work on every case

FFurkan Gözükara SECourses our repo dont have it but it looks not very good

�

𝗡𝗶𝘁𝗶𝗻 𝗣𝗮𝗿𝗲𝘃𝗮•3/31/25, 9:02 AM

It works good when you set zero init steps to 1

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cangir01•3/31/25, 9:47 AM

@Furkan Gözükara SECourses if I disable Tae cache, then I don't have blurry results. But this is new, I used always Tae cache with v38 and in previous versions. The problem occurs only in 14B text to video model, which is very curious in my opinion. Did you test also yourself with this model?

Ccangir01 <@205854764540362752> if I disable Tae cache, then I don't have blurry results. ...

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Furkan Gözükara SECourses•3/31/25, 10:21 AM

yes right now generating let me shoıw

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Furkan Gözükara SECourses•3/31/25, 10:21 AM

screencapture-8447a4423530048b36-gradio-live-2025-03-31-13_21_36.png

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Furkan Gözükara SECourses•3/31/25, 10:21 AM

compiled sage attention and testing it on

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Furkan Gözükara SECourses•3/31/25, 10:22 AM

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Furkan Gözükara SECourses•3/31/25, 10:22 AM

i will post result here once completed

Ccangir01 <@205854764540362752> if I disable Tae cache, then I don't have blurry results. ...

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Furkan Gözükara SECourses•3/31/25, 11:24 AM

here

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cangir01•3/31/25, 12:34 PM

Thank you very much, I will post also in the evening my results then here, in order that you can see what the problem is. But this means the problem is in my setup..very strange

FFurkan Gözükara SECourses you need to make a fresh install

A

Aikage•3/31/25, 7:22 PM

Thank you this fixed it and also wow the new version cut generation time in half and quality is somehow much improved. Amazing!!!

AAikage Thank you this fixed it and also wow the new version cut generation time in half...

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Furkan Gözükara SECourses•3/31/25, 8:57 PM

awesome

Ccangir01 Thank you very much, I will post also in the evening my results then here, in or...

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Furkan Gözükara SECourses•3/31/25, 8:57 PM

sure