Loras extracted from shuttleai's diffusion model (shuttleai/shuttle-3.1-aesthetic, shuttleai/shuttle-jaguar, ...)
Merging these lora to flux schnell should pro similar result as using the full models. But I haven't tested them with schnell, I was experimenting with dev but it wasn't that good.
Normally the high the dimension of the lora the closer the results will be to the full shuttleai models, you can also try merge the lora with strengh higher/lower than 1 to your liking.
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.
Model tree for sitatech/shuttle-ai-diffusion-loras
Base model
black-forest-labs/FLUX.1-schnell