File size: 4,219 Bytes
7deb4dd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | ---
license: other
license_name: per-model
tags:
- comfyui
- quantization
- benchmark
---
# ComfyUI quantization bench: test files
The exact files behind the [ComfyUI Quantization Bench](https://ai-evolution.dev/quant-bench/),
for the [community test kit](https://github.com/LSDJesus/comfyui-quant-bench), which
downloads what your card needs from here. You don't need to fetch anything by hand.
**These are benchmark artifacts, not a model release.** Every model keeps its original
license, listed below. If you want to use a model, get it from its original source.
## What's here
Paths mirror the bench's layout (relative to `/mnt`), so the kit's code runs unchanged.
| Folder | Contents |
| ------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------- |
| `flash/downloads/_quant_bench/bakes/<model>/` | Quantized copies the report tested: `fp8` (fp8 scaled), `int8` (int8 ConvRot), `w4a8` (ConvRot int4 + codebook), `nvfp4` |
| `flash/downloads/_quant_bench/sources/` | SDXL UNets extracted from their checkpoints, the DMD2 merges, the extracted SDXL VAEs |
| `flash/models/…`, `cold/models/…` | bf16 originals (the speed baseline) and each family's VAE |
| `flash/downloads/_quant_bench/cond/`, `ref/` | Pre-encoded prompts and the RTX PRO 6000 bf16 reference trajectories for the per-step accuracy check |
`manifest.json` in the kit repo lists every file with its size and SHA-256.
## Models and licenses
| Report name | Files here | Original | License |
| -------------------------------------- | ------------------------------------------------------- | -------------------------------------- | ------------------------------- |
| Anima base v1.0, Anima turbo v1.0 | bf16 + bakes | _source_ | Nvidia Open Model License |
| Z-Image Base, Z-Image Turbo | bf16 + bakes | Tongyi-MAI | _Apache 2.0_ |
| MOSS-Image base | bf16 + bakes | _source_ | _Apache 2.0_ |
| MOSS-Image base + DMD2 8-step (merged) | merge + bakes | MOSS-Image base + _DMD2 LoRA source_ | _Apache 2.0_ |
| Krea 2 Raw, Krea 2 Turbo | bakes only (bf16 is 26 GB, not needed by ≤24 GB cards) | Krea | KREA 2 COMMUNITY LICENSE |
| Illustrious-XL v2.0 | extracted UNet + VAE + bakes | OnomaAI | Fair AI Public License 1.0-SD |
| Luminelle v1.0 + DMD2 4-step (merged) | merge + extracted VAE + bakes | Luminelle (Civitai) + DMD2 (tianweiy) | Fair AI Public License 1.0-SD |
| Qwen-Image VAE | `vae/qwen/`, `vae/anima/` | Qwen | Qwen Research License Agreement |
| FLUX.1 VAE (`ae.safetensors`) | `vae/Flux/` | Black Forest Labs | _Apache 2.0_ |
| FLUX.2 VAE | `vae/Flux.2_D/` | Black Forest Labs | _Apache 2.0_ |
If a license doesn't allow redistributing a model or its quantized copies, leave those
files out (the kit's `--families` option lets contributors skip that family) or make the
repo gated so downloaders accept the terms first (the kit passes `HF_TOKEN` through).
|