Instructions to use dx8152/Flux2-Klein-9B-Consistency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dx8152/Flux2-Klein-9B-Consistency with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # 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("dx8152/Flux2-Klein-9B-Consistency") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Will there be an update?
#7
by Cemrek - opened
Hello, I’d say this is the best LoRa module I’ve ever used. It’s working great right now. Will this LoRa module be getting an update soon? Could it be improved? Thank you in advance for your response.
Hello, I’d say this is the best LoRa module I’ve ever used. It’s working great right now. Will this LoRa module be getting an update soon? Could it be improved? Thank you in advance for your response.
I will update this again; there are still issues with lighting and color shift that need to be resolved.