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| title: FLUX.MF | Kontext Lightning 8-Step Turbo Model | |
| emoji: ⚡ | |
| colorFrom: red | |
| colorTo: yellow | |
| sdk: gradio | |
| sdk_version: 5.35.0 | |
| app_file: app_kontext.py | |
| pinned: true | |
| short_description: Inspired by our 8-Step FLUX Merged/Fusion Models | |
| **Update 7/9/25:** This model is now quantized and implemented in [this example space.](https://huggingface.co/spaces/LPX55/Kontext-Multi_Lightning_4bit-nf4/) Seeing preliminary VRAM usage at around ~10GB with faster inferencing. Will be experimenting with different weights and schedulers to find particularly well-performing libraries. | |
| # FLUX.1 Kontext-dev X LoRA Experimentation | |
| Highly experimental, will update with more details later. | |
| - 6-8 steps | |
| - <s>Euler, SGM Uniform (Recommended, feel free to play around)</s> Getting mixed results now, feel free to play around and share. | |