metadata
pipeline_tag: text-to-image
tags:
- Flux1
- SVDQaunt
- SVDQ
- Quantization
- Fluxmania
- Legacy
language:
- en
base_model_relation: quantized
library_name: diffusers
This repository contains Nunchaku-quantized (SVDQ) versions of Fluxmania Legacy, a text-to-image model based on Flux.1 Dev by Adel_AI
If you like the model, please consider liking, reviewing and tipping the creator.
Model Files
- svdq-int4_r32-fluxmania-legacy.safetensors: SVDQuant INT4 (rank 32) Fluxmania Legacy model. For users with non-Blackwell GPUs (pre-50-series).
- svdq-fp4_r32-fluxmania-legacy.safetensors: SVDQuant NVFP4 (rank 32) Fluxmania Legacy model. For users with Blackwell GPUs (50-series).
Quality Evaluation
Below is the quality and similarity evaluated with 256 samples from MJHQ-30K dataset. (BF16 is the unqauntized model. INT W4A4 is INT4 and NVFP4 is FP4)
| Model | Precision | Method | FID | IR | LPIPS | PSNR |
|---|---|---|---|---|---|---|
| Fluxmania Legacy (25 step) | BF16 | -- | 175.08 | 0.895 | -- | -- |
| INT W4A4 | SVDQ | 174.84 | 0.795 | 0.222 | 22.84 | |
| NVFP4 | SVDQ | 173.10 | 0.884 | 0.192 | 23.38 |
If you find these useful please consider: 