_Envy_/Flux Dev Q5_K_M GGUF quantization (a nice balance of speed and quality in under 9 gigabytes)
NOTE: Ignore the model format listed! This is not an NF4 ONNX model, it is a Q5_K_M GGUF model. This is a GGUF of flux_dev quantized in Q5_K_M GGUF format that should provide a significant quality boost over 4-bit quantizations while being a lot smaller than the 8-bit version (and since it's a relatively small GGUF, load times should be significantly improved over FP8 as well). This model is ideal of mid-sized graphics cards, and in my tests (without any memory optimizations such as offloading t5 onto the CPU) fits comfortably in 16GB of VRAM, and may work on as low as 8GB (if you have under 1
| Author / organization | _Envy_ |
|---|---|
| Downloads | 3.6K (as reported by Civitai) |
| Likes | 96 |
| Task | text-to-image |
| Created | 1 September 2024 |
| Last updated at source | — |
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