Instructions to use beenga8/flux2-klein-4b-mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use beenga8/flux2-klein-4b-mirror 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("beenga8/flux2-klein-4b-mirror", 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] - Notebooks
- Google Colab
- Kaggle
Mirror text_encoder/model-00002-of-00002.safetensors from black-forest-labs/FLUX.2-klein-4B@e7b7dc27f91d
Browse files
text_encoder/model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:82f2bd839378541b0557bfabaf37c7d3d637071fdcb73302dedd7cf61162ce07
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size 3077766632
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