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", 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
- Draw Things
Question about training data source and scale
#3 opened 2 months ago
by
blackdemonimmortal
Is It Normal That LoRA Only Slightly Improves Color Consistency? Any Example Workflow?
#2 opened 3 months ago
by deleted
Team please make a repose lora! PLEASE!
3
#1 opened 3 months ago
by
krigeta