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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things

- Xet hash:
- 3dc8f2fbf513ada0b1a4cba98caa193b0d6d29ed8501c24cf7b8bc8fd89bb1fd
- Size of remote file:
- 2.15 MB
- SHA256:
- 439361188e7525af0cb6482f8d92d4ac0509eb79653214b0d7a1cd071e9f0c74
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