Image-to-Image
Diffusers
English
lora
flux
flux.2
flux.2-klein
character-swap
face-swap
occlusion-handling
photorealistic
Instructions to use ameno-tech/Flux.2-Klein-9B-SmartCharacterSwap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ameno-tech/Flux.2-Klein-9B-SmartCharacterSwap 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-base-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ameno-tech/Flux.2-Klein-9B-SmartCharacterSwap") prompt = "jhuangswap, masterpiece, high-end photography, realistic portrait, matching target lighting, highly detailed skin texture, 8k resolution" 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
File size: 132 Bytes
33a2e09 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:439361188e7525af0cb6482f8d92d4ac0509eb79653214b0d7a1cd071e9f0c74
size 2154419
|