Hyper-SD is one of the new State-of-the-Art diffusion model acceleration techniques.
For more information, please refer to https://huggingface.co/ByteDance/Hyper-SD.
Description
Our 8-steps and 16-steps FLUX.1-dev-related LoRAs are available now! We recommend LoRA scales around 0.125 that is adaptive with training and guidance scale could be kept on 3.5. Lower step LoRAs would be coming soon.
FAQ
Comments (7)
Ohhhh yeaaahhhh!
For anyone wondering, it is recommended to set the hyper LoRA to a weight of 0.125
How big are performance improvements?
decent images. 10 sec. 1024x1280 8 steps on rtx 4090 w/24GB vram. it was taking me 20-30sec. for image 20-30 steps. so, about the same sec/it but less steps needed.
I've been using this to sort of simplify compositions and use less steps to get usable results for anime work and its been great however, I am a bit bummed out that there seems to be some sort of banding of solid colors, mostly noticeable on dark blues.
IDK how it supposed to work. Without any lora I can generate ok images in 16 steps.
With this lora generation time is %30 more. It actually makes inference slower.
If I set 8 steps, images look bad.
I'm an amateur who has just come out of the novice village, and many models want to try boldly, but how to use them reasonably is indeed a headache~! The technology and model are updated too quickly, I learned to adjust 456, and I also tasted the benefits of retraction, but this process is too difficult for me, thanks to the contributions and help of the vast majority of the authors of station C.
Details
Files
Hyper-FLUX.1-dev-16steps-lora.safetensors
Mirrors
Hyper-FLUX.1-dev-16steps-lora.safetensors
Hyper-FLUX.1-dev-16steps-lora.safetensors
Hyper-FLUX.1-dev-16steps-lora.safetensors
Hyper-FLUX.1-dev-16steps-lora.safetensors
Hyper-FLUX1-dev-16steps-lora.safetensors
Hyper-FLUX.1-dev-16steps-lora.safetensors
Hyper-FLUX.1-dev-16steps-lora.safetensors
HyperFLUX1dev16stepslora.safetensors
Hyper-FLUX.1-dev-16steps-lora.safetensors
Hyper-FLUX.1-dev-16steps-lora.safetensors
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.
