Hey everyone!

It has been quite a while since the last SupraLabs model - but today we've something special for y'all: Supra2-IMG

It's a 100M parameter DiT text-to-image model trained entirely from scratch in under 10 hours on a single H100 on Runpod. It can generate state-of-the-art quality images in 256x256 pixels resolution.

Samples:

https://preview.redd.it/9paalvbs4wqh1.png?width=620&format=png&auto=w…

These samples are NOT cherry-picked! Sampling: seed 0, steps 50, cfg 3.0; same settings for every image.

If someone here is interested in the prompts, I can give them to you! Feel free to ask!

You can also use the model locally on your hardware (\~20s for an image on CPU (🤩) and \~2s for an image on GPU):

First, run:

Create project directory mkdir Supra2-IMG cd Supra2-IMG # Download the inference script wget https://huggingface.co/SupraLabs/Supra2-IMG/resolve/main/inference.py

Then, you can generate images by running:

python inference.py --prompt "a sea jellyfish floating in the pitch-black ocean depths" --seed 0 --cfg 3.0 --steps 50 --n 1 --out jellyfish.png

Have fun 🤗 🔥

Link to the model on HF: https://huggingface.co/SupraLabs/Supra2-IMG

Give us a like and a follow on HF if you want 🤗 ❤️

EVERY feedback is welcome, guys! Feel free to ask any questions!