model for asians
t3 is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user darksagaq12926. Derived from the powerful Stable Diffusion (SD 1.5) model, t3 has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that t3 is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as base model, model, korean.
With a rating of 0 and over 0 ratings, t3 is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of t3 from here.
To use t3, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like t3, check out our crash course in AI image generation.
I haven't decided on a finished version yet, so I'll upload a test version first.
▶▶ Stable Diffusion ver1.6 application settings ◀◀
▶ These are the results of the actual picture test.
After testing more than 10,000 pieces by changing the options below by 1, the best was selected.
We will inform you after confirming the figure at which the picture will not be broken.
▶ Sampling method recommendation ( ) is the CFG Scale application range.
Euler(3~26), Euler a(3~22), DPM2 Karras(1~22),
DPM++ 2M SDE Karras (3~25), DPM++ 3M SDE Karras (1~20)
Heun(6~17), Restart(1~18), DPM++ 2S a Karras(1~17)
▶ Hires. fix - Upscaler recommendation
R-ESRGAN 4x+, ScuNET, ScuNET PSNR
▶ Sampling steps: 20~40
▶ Hires steps: 0~20 (no difference)
▶ Upscale by: 1.5~2 (if your PC is good)
▶ Denoising strength: 0.10~0.6 (no significant difference)
▶ Use ADetailer unconditionally
▷ ADetailer model: No difference, use any one
▷ Only one face can be used for positive prom.
▶ Two ways to set CFG Scale
Method-1
▷ Enable Dynamic Thresholding (x)
▷ CFG Scale: 4~7
(If you feel it's a bit strong, turn it down, if that's your style
Turn on Enable Dynamic Thresholding and apply -1 above CFG Scale)
Method-2
▷ Enable Dynamic Thresholding (o)
▷ Mimic CFG Scale: -1 lower than CFG Scale
▷ Mimic Scale Scheduler: Cosine Up 1~3
▷ CFG Scale Scheduler: Half Cosine Up 1~3
▷ CFG Scale: 18~22
▶ Set the rest as you wish.
There may be cases where the picture appears strange due to changes in numerical values.
So don't worry, instead, run a test and find out the setting range.
Please note.
Set the rest as you wish
(Note: When using a detailer, around 0.1 to 0.5 is good. It doesn't matter if you don't use it.)
Go ahead and upload yours!
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