Second part of our series on how we built one of the fastest image generation systems.
This time we dive into the diffusion pipeline and show how we hit 0.45s inference with kernel optimizations, quantization-aware distillation, and timestep distillation.
https://t.co/xID2Gv43be
First part of our series on how we built one of the fastest image generation systems, and we're kicking off with running LLMs (for prompt expansion) at >1000 tok/s by leveraging a DSpark adapter we trained from scratch!
https://t.co/qGFugOwCPo
🎨 I trained 999 Style LoRAs with the @fal Krea 2 Trainer.
Every single image in this video is a different LoRA.
That's 999 unique Style LoRAs, each trained for just 100 steps at 0.00035 LR, taking an average of ~30 seconds to train.
As I said before, @krea_ai 2 continues to prove that it's an incredible model for open-source Style LoRAs. Next week I'll be sharing even more LoRAs, along with a few surprises.
Training LoRAs with Krea 2 on @fal has been the most fun I've had in a while.
Here are a few examples. In the next few days, I'll be releasing what is probably the largest public Style LoRA library built with Krea 2.
Krea 2 Open-Source is now available on fal
The most aesthetic open-source image model, released with open weights
Turbo delivers fast, polished text-to-image at low step counts
RAW serves as the malleable base checkpoint for LoRA training