Instructions to use Photoroom/FLUX.2-klein-4b-fp8-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Photoroom/FLUX.2-klein-4b-fp8-diffusers 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("Photoroom/FLUX.2-klein-4b-fp8-diffusers", 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
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Verified signature--- license: other license_name: flux-2-klein-4b-agreement license_link: https://huggingface.co/black-forest-labs/FLUX.2-klein-4B/blob/main/LICENSE library_name: diffusers pipeline_tag: image-to-image tags: - flux2 - fp8 - torchao - diffusers - transformer base_model: black-forest-labs/FLUX.2-klein-4B --- # FLUX.2-klein-4b FP8 — Diffusers Transformer Diffusers-compatible **transformer-only** weights for [FLUX.2-klein-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B), converted from Black Forest Labs' [FP8 checkpoint](https://huggingface.co/black-forest-labs/FLUX.2-klein-4b-fp8) (ComfyUI format). > **This repo does not contain the full pipeline.** > Text encoders, VAE, and scheduler are loaded from > [black-forest-labs/FLUX.2-klein-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B). ## Available variants | Subfolder | Precision | Format | Size | Use case | |---|---|---|---|---| | `transformer_bf16/` | bfloat16 | safetensors | ~7.7 GB | LoRA training…115563c -
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