Instructions to use fal/flux-klein-9b-virtual-tryon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/flux-klein-9b-virtual-tryon-lora 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("fill-in-base-model", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fal/flux-klein-9b-virtual-tryon-lora") 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
Team please make a repose lora! PLEASE!
#1
by krigeta - opened
hey team, you are the best when it comes to these loras, may you please make a repose lora for anime and real life? I have some dataset if you want.
@krigeta You can train your own models easily here: https://fal.ai/models/fal-ai/flux-2-klein-9b-base-trainer/edit
which is the one used in producing this lora, too :)
Is there a version 4b? Please.