Um...to run Tensor on low VRAM do you need to count on needing a liquid cooled GPU?
Um...to run Tensor on low VRAM do you need to count on needing a liquid cooled GPU?
![Digital [Starburst]](https://cdn.discordapp.com/avatars/220961909447458817/8ecbbb3132fc6e44312f3d6d2ae3df69.webp?size=40)
DHow hot will she run?
D*** Failed reading extension data from Git repository (se_dreambooth_extension)
![Digital [Starburst]](https://cdn.discordapp.com/avatars/220961909447458817/8ecbbb3132fc6e44312f3d6d2ae3df69.webp?size=16)
Tu dont really need liquid cooling if ur gpu temps are normal acc to the gpu u are running
DTypeError: HEAD is a detached symbolic reference as it points to 'dc413a14379b165355502d9f65856c40a4bb5b6f'
Vhello Furkan, checkpoint training settings for kaggle done?
Fkohya is best
Fi would try to solve issue
Fit is easy to solve
Fare you my patreon supporteR?
Fyou shouldnt get any error
Frun script again
Fi think you had error while caching
FtensorRT and dreambooth extension of automatic1111 version wont work
Fyou can ignore it
Fwoprks grewat
Fyes
FYouTubeSECourses
Master Stable Diffusion XL Training on Kaggle for Free! Welcome to this comprehensive tutorial where I'll be guiding you through the exciting world of setting up and training Stable Diffusion XL (SDXL) with Kohya on a free Kaggle account. This video is your one-stop resource for learning everything from initiating a Kaggle session with dual ...
Master Stable Diffusion XL Training on Kaggle for Free! Welcome to this comprehensive tutorial where I'll be guiding you through the exciting world of setting up and training Stable Diffusion XL (SDXL) with Kohya on a free Kaggle account. This video is your one-stop resource for learning everything from initiating a Kaggle session with dual ...Fi am preparing llava tutorial
Vokay thanks a lot
Ffor the very best captioning
Tno i am not
Ti cannot really find a solution to it anywhere
Tplease could u tell me
FYouTubeSECourses
In this tutorial, you will learn how to install Automatic1111 Web UI for SDXL. How to use LoRAs with Automatic1111 SD Web UI. How to install Kohya SS GUI scripts to do Stable Diffusion training. How to train LoRAs on SDXL model with least amount of VRAM using settings. All of the details, tips and tricks of Kohya trainings. How to do x/y/z plot ...
Fwhat is your python and where did you install it?
Finstall your python as shown here 3.10.11
FYouTubeSECourses
How to install Python, have multiple Python installations, set system wide default Python version. How to compose venv for any Python installation, change Python default path, and install SD web UI properly. Discord: https://bit.ly/SECoursesDiscord.
If I have been of assistance to you and you would like to show your support for my work, please...
If I have been of assistance to you and you would like to show your support for my work, please...
VFurkan, if my dataset only contains 5-10 images, can the repeat be set higher than 100?
FVokay let me see,
Vanother question to name the image, ohwx_man1, ohwx_man2 like this?
Fnope
Fit doesnt read image name
Vhow many images in your dataset, you set repeat 100? more than 30 or 20-30
Fbetween 10-20
Fi had 13
Vif less than 10, can 150 repeats be used?
Fsure . make sure to compare checkpoints
Fto see
Vokay thanks
Vi see your trigger word like ohwx man, then i follow your way like ohwx cat, ef
Veg
MI really don't understand why it's better to train dreambooth instead of lora, when
- larger size
- can be trained more slowly
- you are bound by the limitations of the basic model
- requires much more resources
While training the Lora
- fewer pictures are enough
- faster (about 15 minutes for an SD 1.5 model, SDXL 1 hour)
- requires fewer resources, can be trained on local machines
- can be used with multiple base models
- the same quality can be achieved for persons as for dreambooth.
So I used to train dreambooth because I don't need it, I can train what I want on Lora, be it style, object, person or concept. In very special cases I would only train basic model.
So why do you train dreambooth instead of lora?
- larger size
- can be trained more slowly
- you are bound by the limitations of the basic model
- requires much more resources
While training the Lora
- fewer pictures are enough
- faster (about 15 minutes for an SD 1.5 model, SDXL 1 hour)
- requires fewer resources, can be trained on local machines
- can be used with multiple base models
- the same quality can be achieved for persons as for dreambooth.
So I used to train dreambooth because I don't need it, I can train what I want on Lora, be it style, object, person or concept. In very special cases I would only train basic model.
So why do you train dreambooth instead of lora?
Fbecause dreambooth many times better
Chey, please help if anyone knows. Why doesn't the downloaded controlnet appear web ui runpod?
MBetter at what? I ask seriously.
MBecause the Lora is always adapted to the capabilities of the base model, so if the base model is good, the Lora will be beautiful.
MJust because there is no EMA training in lora, but there is in dreambooth?