Image-to-Image
Diffusers
Safetensors
Diffusion Single File
English
Flux2KleinPipeline
text-to-image
image-editing
flux
Instructions to use black-forest-labs/FLUX.2-klein-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use black-forest-labs/FLUX.2-klein-4B 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-4B", torch_dtype=torch.bfloat16, device_map="cuda") 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] - Diffusion Single File
How to use black-forest-labs/FLUX.2-klein-4B with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Inference
- Notebooks
- Google Colab
- Kaggle
Link model to paper and add library metadata
#15
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding
library_name: diffusersto the metadata, which enables the "Use in Diffusers" button and code snippets. - Linking the model to the research paper: "A Hybrid Approach for Closing the Sim2real Appearance Gap in Game Engine Synthetic Datasets".
- Adding a link to the official GitHub repository for the hybrid approach investigated in the paper.
- Adding the BibTeX citation for the paper.