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This post is obsolete New post : https://www.patreon.com/posts/105735932

This post is obsolete New post : https://www.patreon.com/posts/105735932

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Patreon exclusive posts index 

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

Register Massed Compute From Below Link (could be necessary to use our Special Coupon for A6000 GPU for 31 cents per hour): https://bit.ly/Furkan-Gözükara

Massed Compute Tutorials

Biggest : Full Stable Diffusion SD & XL Fine Tuning Tutorial With OneTrainer On Windows & Cloud - Zero To Hero

IDM-VTON: The Most Amazing Virtual Clothing Try On Application - RunPod - Massed Compute - Kaggle

Stable Cascade Full Tutorial for Cloud - Predecessor of SD3 - Massed Compute, RunPod & Kaggle

20 May 2024 Update

Files upgraded to V5 : mass_compute_v5.zip

Automatic1111 SD Web UI upgrader / installer file updated

Now when you run Upgrade_Automatic1111 .sh file, it will upgrade Automatic1111 Web UI to the latest version

Moreover, it will automatically install latest version of After Detailer (ADetailer), FaceFusion, Reactor, ControlNet extensions

It will also auto install system wide FFmpeg

To have more information please read the GitHub Readme file

Hugging Face repository downloader code added to the Upload_Hugging_Face .ipynb file

So you can download your private Hugging Face repos 1 click even if they are 100s of GBs

Sadly TensorRT still not working

Our image getting updated. Now includes pre-installed Forge as well as to Kohya, OneTrainer and Jupyterlab

How To Deploy

Please watch above tutorials to learn

Then from here deploy your VM as shown in below image: https://vm.massedcompute.com/deploy

Files

Comments

diffusers

Wow 31 cents?! Thats awesome. Is the setup similar to runpod?

Nenad Kuzmanovic

i don' like the way they are managing payments. On Runpod u can pay with your card and not save card info. Here, they want you to first add card (for future payments) and then you can use it...

Nenad Kuzmanovic

Great tutorial. What i would like (and i believe many others) is to have Comfyui tutorial, to install it on Massed Compute. I know a lot of people suffer from not having good gpu. Either my self, i have 3090 but for more complex animations, i just need A6000.

Josh Tech

Hello! I compared RunPod with 3090 and Massed Compute regarding the Speed in SDXL (Realismengine). I installed your update_sd1111 file and changed the COMMANDLINE_ARGS in the settings. I generated 16 images (4 count x 4 batch) with 1024*1024 with DPM SDE Karras 30 Steps. Runpod took 2.5 minutes and Massed Compute took 3.50 minutes. You can take a look at the settings and the PNG (for reproduction) on my Google Drive. Do you have any idea why massed compute was slower? https://drive.google.com/drive/folders/1KnT4HCRorzAcgDTDgag0SgSJS7kTjbDE?usp=sharing

Carlos Nascimento

Good evening, I'm trying to run Pinokio on the image available on Massed Compute, but I'm getting an error when running the run Pinokio icon on the desktop. Is there any additional step or would it just be a matter of double-clicking on the icon? { _home: undefined } available port 42000 { home: undefined, version: undefined } ### ERROR TypeError [ERR_INVALID_ARG_TYPE]: The "path" argument must be of type string. Received undefined at new NodeError (node:internal/errors:393:5) at validateString (node:internal/validators:163:11) at Object.resolve (node:path:1098:7) at Kernel.path (/tmp/.mount_Pinoki3Dr03T/resources/app.asar/node_modules/pinokiod/kernel/index.js:165:17) at Bin.path (/tmp/.mount_Pinoki3Dr03T/resources/app.asar/node_modules/pinokiod/kernel/bin/index.js:502:24) at Kernel.init (/tmp/.mount_Pinoki3Dr03T/resources/app.asar/node_modules/pinokiod/kernel/index.js:634:29) at async Server.start (/tmp/.mount_Pinoki3Dr03T/resources/app.asar/node_modules/pinokiod/server/index.js:2156:5) at async /tmp/.mount_Pinoki3Dr03T/resources/app.asar/main.js:572:5 { code: 'ERR_INVALID_ARG_TYPE' }

Carlos Nascimento

Good morning, that's right. Thank you very much for your quick response.