| --- |
| 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). |
|
|
