Greetings, my fellow Tensorian artists! 😊🤗😁
@sfsinspiredwritr here!
Today, my Tensorian friend @digital_daydreamer had asked for my advice on training for models, and I gave him/her a helping hand! It's so detailed and invaluable, that I decided to give ALL Tensorians here these 10 tips on how to make models online with Tensor Art!
(Note: These are the things that I have figured SO FAR in my Tensor journey up 'til now, and it's all from scratch!)
Enjoy! 😄
Tip #1:
In my experience of training models (online on Tensor Art), a good margin for how many images to use (especially, for the model to work nicely when it's ran) is like 15-22 images. Any fewer or greater number will overall lessen the model's quality.
Tip #2:
For the images, Tensor Art supports images in the formats: .png, .jpg, .jpeg, and .webp (Chrome HTML document).
I find these images by searching for the model topic on Google (for example, "digimon tai x sora") and then heading to the "Images" tab to see only photos of the topic. I click on an image I want to use, and then right-click on it to "Save image as". This is how I download the image to my computer.
Now, ALWAYS check for the image format after you download, from whatever your file manager is called on your device. .avif, .jpg_large, nor .jfif formatted images are NOT supported by Tensor Art, so make sure to keep those out of your image count!
Tip #3:
Pony is THE #1 Base Model to train your models on! The image quality is unmatched by any base model type, IMO! Good base models to use incl. Nova Anime XL (v.5.0 or v.6.0, haven't tried the newer versions yet) and Pony - Disney Pixar Style (V2).
Tip #4:
The steps, how many times the model repeats an image for training, is IMPORTANT to set up! Generally you keep the steps in the range of 24-27 steps for the model to train the images on.
(Before the Online Training update, you could change each image's own steps freely; now, this action only works with the paid Pro account 😭 .... 😤 Nonetheless, the 24-27 steps range still works!)
Tip #5:
You should keep the image prompt as 'loosely detailed" as possible; my image prompt in online training would look something like this:
(Trigger words) - digimon_adventure, mimi_tachikawa, (1girl, 1_solo) :
(Image standard terms) - (RAW Photo, best_quality, high_definition, high_res, masterpiece, veryGOODImage_positive) (Beautiful, extremely detailed)_image, (BEST, amazing, incredible, highly detailed, anime-style)_quality, (Clear & not blurry, beautiful)_image
(Optional details) - simple_background, (upper_body(_shot))
(Main Prompt) There is a teenage girl resembling Mimi Tachikawa. She has long and light brown hair, (amazing, anime_style, well-drawn) brown eyes, and fair skin. She is looking at the viewer with a smile.
This is how my training prompt looks! Simple enough for the AI to train the images! 🙂
Tip #6:
The steps are 24-27, and the epoch is just 1, a set of 4 images.
This is the cheapest way I practice to make images, and with what I spoke on the steps and the image prompt, the model will become fantastic to use using this ratio!
Tip #7:
The model's initial images, when its training is done, will look ... UNPROFESSIONAL for the most part.
Don't be discouraged! Consider these first 4 images the "rough draft", and just Remember This: The model's first images are not the goal to completing the model, it's the images that you run AFTER the model is published!
Essentially, I just replace the first images with 10-12 of NEW images to show off for the model! That's the "presentation" secret (Shh 🤫)!
Tip #8:
Upon running the newly published model, this is the part where you come up with: more details for the prompt, the negative prompt, the strength ('detail weight') of the model, the CFG scale, and whatever else you can mess with to make good images with the model!
Once you have this figured out, then you can "Edit Model" & place your "base" prompt & negative prompt & strength & CFG scale & other details into the description of the model itself so that the users running your model (and yourself 😉 wink-wink) can have some more ease and AMAZING use with it!
Tip# 9:
The models will have to go into projects to be showcased to the Tensor community, of course!
To make a project, you go to "+ Host my model" on your Profile page, then go to "Create a project" to go to a page that does just that! You make its name, type (mines are usually Image & LoRA), channel (Anime, Illustration, etc.), tags (e.g. "SORA TAKENOUCHI", "DIGIMON ADVENTURE", etc.), description (where I recommend some of my tips for users to use the model well), resource (usually "Original"), view scope (usu. "Public"), and permissions you give to users (I allow everything except those under "Commercial use"; I don't care about those), and then you "Create"!
Tip #10:
Instead of using the model you used to train the images to run new images to present, you can use a DIFFERENT ONE to make the new images of the model!
For example, when I train models for the DIGIMON ADVENTURE characters' Defined versions, the base model for training is Nova Anime, but for running images it's Disney Pixar Style! For their anime versions, it's the reverse! In my experience, using a different model for running aside from the one used for training really brings out the detail and quality of the images, better than using the same one! (Nothing against using the same one, though; this would still work!)
And, PHOOOO, there you have it! I had a lot to say, and (again) I had to learn these priceless pieces of knowledge by MYSELF, and thankfully you new and seasoned Tensor artists should have more ease in training your models online here on Tensor Art 🥰!
I hope these tips are of great help to you (let me know if you're confused, if I've said too much or little 😬 ... This is supposed to be helpful!), and let us all grow into amazing Tensor Artists together!
P.S. When I learn something else new, I'll be sure to post "mini-articles" as updates for my sharing these experiences with you all, Tensor Art ocommunity!
Until another time, Tensorians! Many good wishes to you all, fellow artists and creators! 🤗🤩🥰😍😊😁😀
