README.md

---
language:
  - en
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://github.com/black-forest-labs/flux/blob/main/model_licenses/LICENSE-FLUX1-dev
base_model:
- black-forest-labs/FLUX.1-Kontext-dev
base_model_relation: quantized
tags:
  - image-generation
  - flux
  - diffusion-single-file
pipeline_tag: image-to-image
---

# flux1-kontext-dev-fp8

FP8-quantized weights for [FLUX.1-Kontext-dev](https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev) diffusion models. Supports both E4M3FN and E5M2 formats.

## Model Overview
- **Base Model**: [FLUX.1-Kontext-dev](https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev) (diffusion model component)
- **Quantization**: Per-tensor dynamic quantization to FP8 (E4M3FN/E5M2)
- **Size Reduction**: ~40% smaller than original weights
- **Model Scope**: This is **only the diffusion_model** component (not full pipeline), should be placed in ComfyUI's `diffusion_models` directory
- **Compatibility**: 
  - ✅ ComfyUI (with PyTorch 2.4+ and CUDA 12.4+)
  - ❌ Diffusers (currently unsupported)

## Available Files
- `flux1-kontext-dev-fp8-e4m3fn.safetensors` - Balanced performance/accuracy
- `flux1-kontext-dev-fp8-e5m2.safetensors` - Higher throughput on Hopper GPUs

## Usage
1. Move the `.safetensors` file to your ComfyUI `diffusion_models` directory
2. Select fp8 modes in UNet Loader like `fp8_e4m3fn`.

## Known Limitations
1. Not compatible with standard Diffusers pipelines
2. Requires patched PyTorch versions for optimal performance

## License
This model is distributed under the [FLUX.1(dev) Non-Commercial License](https://github.com/black-forest-labs/flux/blob/main/model_licenses/LICENSE-FLUX1-dev). Commercial use prohibited without authorization.

## Citation
```bib
@misc{labs2025flux1kontextflowmatching,
      title={FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space},
      author={Black Forest Labs et al.},
      year={2025},
      eprint={2506.15742},
      archivePrefix={arXiv},
      primaryClass={cs.GR},
      url={https://arxiv.org/abs/2506.15742},
}
```