Instructions to use black-forest-labs/FLUX.1-Krea-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use black-forest-labs/FLUX.1-Krea-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Krea-dev", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Can it be used to improve realism in Image-to-Image from Flux Kontext?
#10
by EladofWar - opened
Hi there! Flux Kontext is amazing at doing domain translation/style transfer but still has that AI look, is it possible to pass latents from Flux Kontext outputs to Krea and denoise a little on top of that to improve realism? Or maybe do some other process like this that uses Kontext and Krea?
yes
yes
i used the krea lora and it worked to improve realism from anime to real style transfer. have you tried doing pure latents tho?