---
base_model:
- mikeyandfriends/PixelWave_FLUX.1-schnell_04
license: apache-2.0
tags:
- text-to-image
- SVDQuant
- FLUX.1-dev
- INT4
- FLUX.1
- Diffusion
- Quantization
language:
- en
base_model_relation: quantized
pipeline_tag: text-to-image
library_name: diffusers
---

# WIP - read P.S.

## Model Details

Just the `SVDQuant` quantized `int4` variant of the base model [mikeyandfriends/PixelWave_FLUX.1-schnell_04](https://hf.co/mikeyandfriends/PixelWave_FLUX.1-schnell_04).

It was quantized using official svdquant toolset using both `fast` and `gptq` presets.

### P.S. Yields worse than expected generation results, so **not recommended as for now**, I will take another try to quantize it using slow mode.

### P.P.S. I've ran full quantization, but due to the way the toolset implemented, it had a bug at the very end in the eval part of workflow, so it exited with error not saving a single byte of final quantization result, everything is lost.
Due to the fact that I paid for the compute myself I consider this loss of ~$60 as a valuable lesson, but I would not redo it again, as I am short on free cash atm. Sorry. Fot those who willing to have it done - feel free to generate a redeemable credit code at RunPod, and send it to me via telegram: [t.me/WaveCut](https://t.me/WaveCut), and I'll be happy to get another shot at it.