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Invoke AI Latest Version Windows, RunPod and Massed Compute 1-Click Installers (Patreon)

Published:
2025-03-18 10:31:00
Edited:
2025-03-20 20:21:19
Imported:
2026-06

Downloads

Content

Patreon exclusive posts index to find our scripts easily, Patreon scripts updates history to see which updates arrived to which scripts and amazing Patreon special generative scripts list that you can use in any of your task.

Join discord to get help, chat, discuss and also tell me your discord username to get your special rank : SECourses Discord

Please also Star, Watch and Fork our Stable Diffusion & Generative AI  GitHub repository and join our Reddit subreddit and follow me on LinkedIn (my real profile)

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Latest zip file : InvokeAI_v6.zip

Video tutorial link : https://youtu.be/BuxFBYAUGIY

RunPod Register : https://runpod.io?ref=1aka98lq

Massed Compute Register : https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=secourses&tenantId=massed-compute

InvokeAI repo : https://github.com/invoke-ai/InvokeAI

18 March 2025 Update

New bat file Windows_Upgrade_RTX_5000.bat added to the zip file

Install as in tutorial and after installation completed run this file

It will show incompatible library version error at the end, ignore and after that use invoke.bat to start

It is working perfect on RTX 5000

I didn't test all functions but I expect to work

Windows Requirements

Python 3.10, FFmpeg, CUDA 12.4 (CUDA 12.8 for RTX 5000) or above, cuDNN 9.4 or above, C++ tools, MSVC and Git

If it doesn't work make sure to below tutorial and install everything exactly as shown in this below tutorial

https://youtu.be/DrhUHnYfwC0

Windows:

First watch above requirements tutorial and follow every step

Extract zip archive into a drive like c:/invoke_v6

Longer directory path causes issues

How_To_Install_Invoke.png

Massed Compute (Recommend Cloud) :

Please register via this link : https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=secourses&tenantId=massed-compute

Use our coupon SECourses

Our coupon works on following GPUS

L40 : 625 GB Disk Space, 128 GB RAM, 48 GB GPU: 53 cents per hour

RTX A6000 [Premium], 300 GB Disk Space, 96 GB RAM, 48 GB GPU: 34 cents per hour

RTX A6000 : 256 GB Disk Space, 48 GB RAM, 48 GB GPU: 33 cents per hour

ALT RTX A6000 : 256 GB Disk Space, 32 GB RAM, 48 GB GPU: 32 cents per hour

Then select our image SECourses from Creator dropdown

Then follow Massed_Compute_Instructions_READ.txt

Same as my any other Massed Compute installer script

Example tutorial for learn how to install and use Massed Compute

(Starts at 12:58) : https://youtu.be/KW-MHmoNcqo?si=G1WbG-Qw4ujWvOtG&t=778

RunPod (Cloud):

Please register via this link : https://runpod.io?ref=1aka98lq

Then follow Runpod_Instructions_READ.txt

Same as my any other RunPod installer script

Use the template written in Runpod_Instructions_READ.txt file

Example tutorial for learn how to install and use RunPod

(starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323

Files

Comments

Steve

this replace anything for anyone or another UI that does the same thing?

100Sachen80

I have a question about Massed Compute. Last time I stopped the machine, it started itself again after some time. I realized it after a few hours, so many credits where used without using the machine. It should be enough to just press "Stop" on the machine? I do not have to terminate it evey time i stop using it?

100Sachen80

Wow...that is one way to make money! Thanks for the clarification.

C

So if I'm looking at this correctly, Massed compute creates a sort of Linux desktop? If so, this is much better to use than Runpod with just Jupyter lab, isn't it?

Royal Sero

Collecting bitsandbytes==0.43.3 (from invokeai[onnx-cuda,xformers]) Using cached bitsandbytes-0.43.3-py3-none-win_amd64.whl.metadata (3.5 kB) Collecting windows-curses (from invokeai[onnx-cuda,xformers]) Using cached windows_curses-2.3.3-cp310-cp310-win_amd64.whl.metadata (2.7 kB) Collecting xformers==0.0.28.post1 (from invokeai[onnx-cuda,xformers]) Using cached xformers-0.0.28.post1.tar.gz (7.8 MB) Installing build dependencies ... done Getting requirements to build wheel ... error error: subprocess-exited-with-error × Getting requirements to build wheel did not run successfully. │ exit code: 1 ╰─> [17 lines of output] Traceback (most recent call last): File "B:\xInvokeAI\.venv\lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 353, in main() File "B:\xInvokeAI\.venv\lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 335, in main json_out['return_val'] = hook(**hook_input['kwargs']) File "B:\xInvokeAI\.venv\lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 118, in get_requires_for_build_wheel return hook(config_settings) File "C:\Users\Serhat-Pc\AppData\Local\Temp\pip-build-env-d8e8p5a_\overlay\Lib\site-packages\setuptools\build_meta.py", line 332, in get_requires_for_build_wheel return self._get_build_requires(config_settings, requirements=[]) File "C:\Users\Serhat-Pc\AppData\Local\Temp\pip-build-env-d8e8p5a_\overlay\Lib\site-packages\setuptools\build_meta.py", line 302, in _get_build_requires self.run_setup() File "C:\Users\Serhat-Pc\AppData\Local\Temp\pip-build-env-d8e8p5a_\overlay\Lib\site-packages\setuptools\build_meta.py", line 503, in run_setup super().run_setup(setup_script=setup_script) File "C:\Users\Serhat-Pc\AppData\Local\Temp\pip-build-env-d8e8p5a_\overlay\Lib\site-packages\setuptools\build_meta.py", line 318, in run_setup exec(code, locals()) File "", line 24, in ModuleNotFoundError: No module named 'torch' [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: subprocess-exited-with-error × Getting requirements to build wheel did not run successfully. │ exit code: 1 ╰─> See above for output. note: This error originates from a subprocess, and is likely not a problem with pip. Error: Unexpected exit code: 1 Command line: | 'B:\xInvokeAI\.venv\Scripts\pip.exe' install --require-virtualenv --force-reinstall --use-pep517 'invokeai[xformers,onnx-cuda]' --extra-index-url https://download.pytorch.org/whl/cu121 Could not install InvokeAI. Please try downloading the latest version of the installer and install again. Drücken Sie eine beliebige Taste . . .

Royal Sero

C:\Users\Serhat-Pc>python Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import torch >>> x = torch.rand(5, 3) >>> print(x) tensor([[0.8943, 0.1868, 0.1155], [0.3184, 0.5475, 0.1129], [0.4480, 0.2118, 0.7054], [0.3152, 0.1228, 0.9532], [0.1583, 0.1623, 0.5797]]) >>> >>> import torch >>> torch.cuda.is_available() True >>>

Royal Sero

C:\Users\Serhat-Pc>python -c "import torch; print(torch.__version__)" 2.4.1+cu121

Royal Sero

hata veriyor furkan abi ne denedim olmadi, acemiyim biraz

Michael 'Kay' Klindt

When trying to install my Loras on Runpod 90% fail with runpod ValueError: Error while deserializing header: MetadataIncompleteBuffer. Do you know the issue? Some of the same exact Loras ran fine in Invoke locally, but I have been trying for days to get them to work in Runpod.

Bayram TATAR

Evet harfiyyen aynısını uyguladım

Christopher Guillou

Massed Compute : Oh well... seems we're still getting "./invoke.sh: line 37: 8333 Segmentation fault (core dumped) invokeai-web $PARAMS"

renderartist

Thank you for this, nice work!

Alex

anyway you can update this for 50 series cards?

Kornél Garamvölgyi

Is there any solution to prevent this error message: "Invalid or Missing HF Token" and allow the models to be downloaded? This issue only occurs with some models (Flux 1 redux dev, Fulx.1 depth dev lora, Flux.1 canny, Stable Diffusion 3.5 large).

Kornél Garamvölgyi

And i got cuda error when i start any task. RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. I have an 5090 card. I run the upgrade rtx 5000 bat. But no success.

Alex

did you follow the steps in the read me? i also have a 5090 and i ran the install then moved the 5000 bat to the root of the invoke folder its working flawless for me