Furkan Gözükara
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A New Gold Tutorial For RunPod & Linux Users : How To Use Storage Network Volume In RunPod & Latest Version Of Automatic1111 With All ControlNet Models, InstantID & More
🕑 Added 2024-03-24 23:13:21 +0000 UTCA New Gold Tutorial For RunPod & Linux Users : How To Use Storage Network Volume In RunPod & Latest Version Of Automatic1111 With All ControlNet Models, InstantID & More
Tutorial Link > https://www.youtube.com/watch?v=8Qf4x3-DFf4
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Tutorial Link > https://www.youtube.com/watch?v=8Qf4x3-DFf4
In this tutorial I have shown how to login your RunPod account and how to deploy a Pod with any specific template in the newest updated RunPod interface for both secure and community cloud. Moreover, how to use Storage Network Volume system of RunPod to get permanent storage that can be mounted to any available GPU. Furthermore, how to terminate permanent storage and start again on a new pod. In addition, how to deploy multiple GPUs on a single pod. Additionally, how to 1 click download all of the ControlNet models, install necessary libraries for InstantID and IP Adapter Face ID, and download best SDXL and SD 1.5 models. Moreover, how to terminate auto started Web UI and verify 0% VRAM is used before starting any training. Furthermore, I have shown how to use InstantID face transfer to obtain amazing stylized images instantly.
RunPod / Linux : 1 Click Installer for Automatic1111 SD Web UI, SDXL, ControlNet, All ControlNet Models, TensorRT (RTX Accelerator) For RunPod / Any Linux System ⤵️
https://www.patreon.com/posts/86438018
Windows : 1 Click Installer for Automatic1111 SD Web UI, SDXL, ControlNet, All ControlNet Models, TensorRT (RTX Accelerator) on Windows ⤵️
https://www.patreon.com/posts/86307255
Biggest & The Best How To Use RunPod Tutorial ⤵️
Biggest & The Best How To Use ControlNet Tutorial ⤵️
0:00 Introduction to how to use RunPod with permanent Storage Network Volume and latest version of Automatic1111 SD Web UI and ControlNet
1:40 How to register and login your RunPod account
1:54 How to deploy a pod in the newest RunPod interface
2:22 How to deploy a Pod on community cloud on the newest RunPod interface
2:39 How to select / set your RunPod template
2:53 How to customize deployment of RunPod template and increase storage disk size and expose proxy ports to connect
3:40 How to use Storage Network Volume system of RunPod to get permanent storage that can be mounted to any available GPU
5:10 How to setup a permanent Storage Network Volume in a specific region on RunPod
6:31 Why you shouldn't change template name
7:06 Terminate option of permanent storage vs stop pod of community cloud Pods
7:57 How to install latest version of Automatic1111 SD Web UI on RunPod with ControlNet models
8:15 How to rent multiple GPUs on the same machine
8:42 How to connect Jupyter Lab interface to start installing and using AI apps such as Automatic1111 SD Web UI
9:10 How to upload Automatic1111 SD Web UI latest version installation scripts into the Pod and install
9:37 How to prevent automatic restart of Web UI in the Stable Diffusion template with modifying relauncher.py file
10:06 How to restart your Pod after replacing / overwriting your relauncher.py file
10:49 How to execute installation commands
11:26 Which models will install all sh file download
12:25 Why getting permission denied error is not important and how we are terminating automatically started Automatic1111 SD Web UI
12:36 Why it is important to verify you terminated auto started Automatic1111 SD Web UI and thus have 0% VRAM usage before starting any training
13:02 What kind of download speeds we are getting in RunPod community cloud and secure cloud pods
14:09 How to use bidding / spot bidding option of RunPod to get even much more cheaper GPUs / Pods
14:39 If someone else overbids you what happens when you are using spot bidding
15:57 How to close your storage network volume or regular pod and start using again
16:16 What if a GPU is not available
16:26 How to completely delete a pod - all data is gone
16:52 How to deploy storage network volume into a better GPU
17:30 How to run Automatic1111 SD Web UI on RunPod after stopping and starting Pod again or restarting the Pod
17:45 Why moving storage network volume to a new Pod takes time
18:36 Why manually starting your Web UI after terminating older automatically started one is more advantageous - you can watch the terminal
18:49 Why I have removed the skip install argument from the Automatic1111 Web UI arguments
18:59 How to install other and newer extensions on RunPod Automatic1111 Web UI
19:19 How to connect back to the started Automatic1111 SD Web UI interface with http proxy port
19:31 How to enable Gradio live share on RunPod to use Automatic1111 SD Web UI on any device such as your phone, tablet or on another computer
19:42 How to edit starting arguments of Automatic1111 on RunPod
20:50 We got connected to the Web UI interface and checking all available ControlNet models
21:04 Example usage case of ControlNet
22:17 How to use recently added InstantID in ControlNet in Automatic1111 SD Web UI
24:32 The quality difference and easiness of using of our own developed InstantID Gradio app
26:26 Testing image on my own developed advanced Gradio app for InstantID
26:52 The list of amazing features of our Gradio app for InstantID
27:48 What happens if your GPU starts using shared VRAM
29:00 How to get best results with InstantID
Comments
Furkan Gözükara
thank you so much
Shavel
Hey Furkan this tutorial is great. Lot's of new tips and very very helpful.
Furkan Gözükara
sadly i dont have paid colab account and it doesnt work at free colab. but we have this one can you try it? https://www.patreon.com/posts/automatic1111-ui-89288738
Furkan Gözükara
you can edit styles csv of automatic1111 and add what is inside of style_template.py in instantid / gradio_demo folder
Stephen Yip
For InstantID on Automatic1111, how can we specify the style template which is available only on the standalone InstantID webui. Thanks !
Gen Zero
I want Stable Diffusion - Automatic11119 The latest one is 2024 at Run on Colab. Please send me some tutorials. Thank you very much.
