Instructions to use DeverStyle/Flux.2-Klein-Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DeverStyle/Flux.2-Klein-Loras 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.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DeverStyle/Flux.2-Klein-Loras") prompt = "Teal Dark (TLDR) samples" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Do you plan on sharing the dataset?
#1
by Merken19 - opened
Hey there, pretty cool Lora! I am trying to learn training Loras and also experiment a bit. Do you plan on sharing the dataset you have created? It will be great guidance for annotations, and can be used for training other models.
Sorry, no plans to open source datasets.